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Sample records for cancer molecular features

  1. Feature Selection and Molecular Classification of Cancer Using Genetic Programming

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    Jianjun Yu

    2007-04-01

    Full Text Available Despite important advances in microarray-based molecular classification of tumors, its application in clinical settings remains formidable. This is in part due to the limitation of current analysis programs in discovering robust biomarkers and developing classifiers with a practical set of genes. Genetic programming (GP is a type of machine learning technique that uses evolutionary algorithm to simulate natural selection as well as population dynamics, hence leading to simple and comprehensible classifiers. Here we applied GP to cancer expression profiling data to select feature genes and build molecular classifiers by mathematical integration of these genes. Analysis of thousands of GP classifiers generated for a prostate cancer data set revealed repetitive use of a set of highly discriminative feature genes, many of which are known to be disease associated. GP classifiers often comprise five or less genes and successfully predict cancer types and subtypes. More importantly, GP classifiers generated in one study are able to predict samples from an independent study, which may have used different microarray platforms. In addition, GP yielded classification accuracy better than or similar to conventional classification methods. Furthermore, the mathematical expression of GP classifiers provides insights into relationships between classifier genes. Taken together, our results demonstrate that GP may be valuable for generating effective classifiers containing a practical set of genes for diagnostic/ prognostic cancer classification.

  2. MRI and pathological features of different molecular subtypes of breast cancers

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    Objective: To investigate the MRI and pathological features of different molecular subtypes of breast cancer. Methods: The data of 202 patients who underwent primary breast cancer resection were retrospectively reviewed. All of the patients had MRI preoperatively. The molecular subtypes of breast cancer defined by immunohistochemistry were classified as basal-like, luminal and HER-2 overexpression. Morphology (including mass or non-mass like enhancement, shape and margin of masses, unifocal or multifocal masses) and enhancement characteristics on MRI, histologic types and grades of tumors were analyzed with Chi-square test, exact test, Fisher exact test, Kruskal-Wallis H test, and Wilcoxon test. Results: Among the 202 patients, 34 were basal-like, 144 were luminal and 24 were HER-2 overexpression. The number of mass cases in each subtype was 29, 133 and 19 respectively,making no significant difference (χ2=4.136, P=0.126). As for the shape of basal-like lesions,8 were round,19 were lobular and 2 were irregular, while this distribution was 23, 58, 52 in luminal subtype and 1, 11, 7 in HER-2 overexpression subtype (χ2=13.391, P<0.05). The margin was also strikingly different among three groups (smooth, spiculate, irregular): 20, 5, 4 respectively in basal-like, 27, 53, 53 respectively in luminal, and 4, 7, 8 respectively in HER-2 overexpression (χ2=28.515, P<0.01). 52.6% (10/19) of HER-2 overexpression cases were multifocal, while only 6.9% (2/29) of luminal and 8.0% (24/133) of basal-like ones were multifocal (χ2=16.140, P<0.01). Characteristics in dynamic contrast-enhanced MRI were statistically different, with homogeneous, heterogeneous, and rim enhancement 0, 13, 16 respectively in basal-like cases, 28, 93, 11 respectively in luminal cases and 2, 11, 6 respectively in HER-2 overexpression cases (P<0.01). However, the difference for enhancement curve did not reach significance (P =0.457). Histologic types were significantly different among molecular subtypes (P

  3. Identification of prognostic molecular features in the reactive stroma of human breast and prostate cancer.

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    Anne Planche

    Full Text Available Primary tumor growth induces host tissue responses that are believed to support and promote tumor progression. Identification of the molecular characteristics of the tumor microenvironment and elucidation of its crosstalk with tumor cells may therefore be crucial for improving our understanding of the processes implicated in cancer progression, identifying potential therapeutic targets, and uncovering stromal gene expression signatures that may predict clinical outcome. A key issue to resolve, therefore, is whether the stromal response to tumor growth is largely a generic phenomenon, irrespective of the tumor type or whether the response reflects tumor-specific properties. To address similarity or distinction of stromal gene expression changes during cancer progression, oligonucleotide-based Affymetrix microarray technology was used to compare the transcriptomes of laser-microdissected stromal cells derived from invasive human breast and prostate carcinoma. Invasive breast and prostate cancer-associated stroma was observed to display distinct transcriptomes, with a limited number of shared genes. Interestingly, both breast and prostate tumor-specific dysregulated stromal genes were observed to cluster breast and prostate cancer patients, respectively, into two distinct groups with statistically different clinical outcomes. By contrast, a gene signature that was common to the reactive stroma of both tumor types did not have survival predictive value. Univariate Cox analysis identified genes whose expression level was most strongly associated with patient survival. Taken together, these observations suggest that the tumor microenvironment displays distinct features according to the tumor type that provides survival-predictive value.

  4. Radiogenomic analysis of breast cancer: dynamic contrast enhanced - magnetic resonance imaging based features are associated with molecular subtypes

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    Wang, Shijian; Fan, Ming; Zhang, Juan; Zheng, Bin; Wang, Xiaojia; Li, Lihua

    2016-03-01

    Breast cancer is one of the most common malignant tumor with upgrading incidence in females. The key to decrease the mortality is early diagnosis and reasonable treatment. Molecular classification could provide better insights into patient-directed therapy and prognosis prediction of breast cancer. It is known that different molecular subtypes have different characteristics in magnetic resonance imaging (MRI) examination. Therefore, we assumed that imaging features can reflect molecular information in breast cancer. In this study, we investigated associations between dynamic contrasts enhanced MRI (DCE-MRI) features and molecular subtypes in breast cancer. Sixty patients with breast cancer were enrolled and the MR images were pre-processed for noise reduction, registration and segmentation. Sixty-five dimensional imaging features including statistical characteristics, morphology, texture and dynamic enhancement in breast lesion and background regions were semiautomatically extracted. The associations between imaging features and molecular subtypes were assessed by using statistical analyses, including univariate logistic regression and multivariate logistic regression. The results of multivariate regression showed that imaging features are significantly associated with molecular subtypes of Luminal A (p=0.00473), HER2-enriched (p=0.00277) and Basal like (p=0.0117), respectively. The results indicated that three molecular subtypes are correlated with DCE-MRI features in breast cancer. Specifically, patients with a higher level of compactness or lower level of skewness in breast lesion are more likely to be Luminal A subtype. Besides, the higher value of the dynamic enhancement at T1 time in normal side reflect higher possibility of HER2-enriched subtype in breast cancer.

  5. Comprehensive profiling of DNA methylation in colorectal cancer reveals subgroups with distinct clinicopathological and molecular features

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    Most previous studies of the CpG island methylator phenotype (CIMP) in colorectal cancer (CRC) have been conducted on a relatively small numbers of CpG sites. In the present study we performed comprehensive DNA methylation profiling of CRC with the aim of characterizing CIMP subgroups. DNA methylation at 1,505 CpG sites in 807 cancer-related genes was evaluated using the Illumina GoldenGate® methylation array in 28 normal colonic mucosa and 91 consecutive CRC samples. Methylation data was analyzed using unsupervised hierarchical clustering. CIMP subgroups were compared for various clinicopathological and molecular features including patient age, tumor site, microsatellite instability (MSI), methylation at a consensus panel of CpG islands and mutations in BRAF and KRAS. A total of 202 CpG sites were differentially methylated between tumor and normal tissue. Unsupervised hierarchical clustering of methylation data from these sites revealed the existence of three CRC subgroups referred to as CIMP-low (CIMP-L, 21% of cases), CIMP-mid (CIMP-M, 14%) and CIMP-high (CIMP-H, 65%). In comparison to CIMP-L tumors, CIMP-H tumors were more often located in the proximal colon and showed more frequent mutation of KRAS and BRAF (P < 0.001). Comprehensive DNA methylation profiling identified three CRC subgroups with distinctive clinicopathological and molecular features. This study suggests that both KRAS and BRAF mutations are involved with the CIMP-H pathway of CRC rather than with distinct CIMP subgroups

  6. New Molecular Features of Colorectal Cancer Identified - Office of Cancer Clinical Proteomics Research

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    Investigators from the National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium (CPTAC) who comprehensively analyzed 95 human colorectal tumor samples, have determined how gene alterations identified in previous analyses of the same samples

  7. Importance of Molecular Features of Non–Small Cell Lung Cancer for Choice of Treatment

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    Moran, Cesar

    2011-01-01

    Lung cancer is the leading cause of cancer-related deaths in the United States. Approximately 85% of lung cancer is categorized as non–small cell lung cancer, and traditionally, non–small cell lung cancer has been treated with surgery, radiation, and chemotherapy. Targeted agents that inhibit the epidermal growth factor receptor pathway have been developed and integrated into the treatment regimens in non–small cell lung cancer. Currently, approved epidermal growth factor receptor inhibitors ...

  8. The role of leptin in gastric cancer: Clinicopathologic features and molecular mechanisms

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    Lee, Kang Nyeong [Department of Internal Medicine, Hanyang University College of Medicine, Seoul (Korea, Republic of); Choi, Ho Soon, E-mail: hschoi96@hanyang.ac.kr [Department of Internal Medicine, Hanyang University College of Medicine, Seoul (Korea, Republic of); Yang, Sun Young [Department of Internal Medicine, Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, Seoul (Korea, Republic of); Park, Hyun Ki; Lee, Young Yiul; Lee, Oh Young; Yoon, Byung Chul; Hahm, Joon Soo [Department of Internal Medicine, Hanyang University College of Medicine, Seoul (Korea, Republic of); Paik, Seung Sam [Pathology, Hanyang University College of Medicine, Seoul (Korea, Republic of)

    2014-04-18

    Highlights: • Leptin and Ob-R are expressed in gastric adenoma and early and advanced cancer. • Leptin is more likely associated with differentiated gastric cancer or cardia cancer. • Leptin proliferates gastric cancer cells via activating the STAT3 and ERK1/2 pathways. - Abstract: Obesity is associated with certain types of cancer, including gastric cancer. However, it is still unclear whether obesity-related cytokine, leptin, is implicated in gastric cancer. Therefore, we aimed to investigate the role of leptin in gastric cancer. The expression of leptin and its receptor, Ob-R, was assessed by immunohistochemical staining and was compared in patients with gastric adenoma (n = 38), early gastric cancer (EGC) (n = 38), and advanced gastric cancer (AGC) (n = 38), as a function of their clinicopathological characteristics. Gastric cancer cell lines were studied to investigate the effects of leptin on the signal transducer and activator of transcription-3 (STAT3) and extracellular receptor kinase 1/2 (ERK1/2) signaling pathways using MTT assays, immunoblotting, and inhibition studies. Leptin was expressed in gastric adenomas (42.1%), EGCs (47.4%), and AGCs (43.4%). Ob-R expression tended to increase from gastric adenoma (2%), through EGC (8%), to AGC (18%). Leptin induced the proliferation of gastric cancer cells by activating STAT3 and ERK1/2 and up-regulating the expression of vascular endothelial growth factor (VEGF). Blocking Ob-R with pharmacological inhibitors and by RNAi decreased both the leptin-induced activation of STAT3 and ERK1/2 and the leptin-induced expression of VEGF. Leptin plays a role in gastric cancer by stimulating the proliferation of gastric cancer cells via activating the STAT3 and ERK1/2 pathways.

  9. The role of leptin in gastric cancer: Clinicopathologic features and molecular mechanisms

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    Highlights: • Leptin and Ob-R are expressed in gastric adenoma and early and advanced cancer. • Leptin is more likely associated with differentiated gastric cancer or cardia cancer. • Leptin proliferates gastric cancer cells via activating the STAT3 and ERK1/2 pathways. - Abstract: Obesity is associated with certain types of cancer, including gastric cancer. However, it is still unclear whether obesity-related cytokine, leptin, is implicated in gastric cancer. Therefore, we aimed to investigate the role of leptin in gastric cancer. The expression of leptin and its receptor, Ob-R, was assessed by immunohistochemical staining and was compared in patients with gastric adenoma (n = 38), early gastric cancer (EGC) (n = 38), and advanced gastric cancer (AGC) (n = 38), as a function of their clinicopathological characteristics. Gastric cancer cell lines were studied to investigate the effects of leptin on the signal transducer and activator of transcription-3 (STAT3) and extracellular receptor kinase 1/2 (ERK1/2) signaling pathways using MTT assays, immunoblotting, and inhibition studies. Leptin was expressed in gastric adenomas (42.1%), EGCs (47.4%), and AGCs (43.4%). Ob-R expression tended to increase from gastric adenoma (2%), through EGC (8%), to AGC (18%). Leptin induced the proliferation of gastric cancer cells by activating STAT3 and ERK1/2 and up-regulating the expression of vascular endothelial growth factor (VEGF). Blocking Ob-R with pharmacological inhibitors and by RNAi decreased both the leptin-induced activation of STAT3 and ERK1/2 and the leptin-induced expression of VEGF. Leptin plays a role in gastric cancer by stimulating the proliferation of gastric cancer cells via activating the STAT3 and ERK1/2 pathways

  10. In vivo relevant mixed urolithins and ellagic acid inhibit phenotypic and molecular colon cancer stem cell features: A new potentiality for ellagitannin metabolites against cancer.

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    Núñez-Sánchez, María Ángeles; Karmokar, Ankur; González-Sarrías, Antonio; García-Villalba, Rocío; Tomás-Barberán, Francisco A; García-Conesa, María Teresa; Brown, Karen; Espín, Juan Carlos

    2016-06-01

    Colon cancer stem cells (CSCs) offer a novel paradigm for colorectal cancer (CRC) treatment and dietary polyphenols may contribute to battle these cells. Specifically, polyphenol-derived colon metabolites have the potential to interact with and affect colon CSCs. We herein report the effects against colon CSCs of two mixtures of ellagitannin (ET) metabolites, ellagic acid (EA) and the gut microbiota-derived urolithins (Uro) at concentrations detected in the human colon tissues following the intake of ET-containing products (pomegranate, walnuts). These mixtures reduce phenotypic and molecular features in two models of colon CSCs: Caco-2 cells and primary tumour cells from a patient with CRC. The mixture containing mostly Uro-A (85% Uro-A, 10% Uro-C, 5% EA) was most effective at inhibiting the number and size of colonospheres and aldehyde dehydrogenase activity (ALDH, a marker of chemoresistance) whereas the mixture containing less Uro-A but IsoUro-A and Uro-B (30% Uro-A, 50% IsoUro-A, 10% Uro-B, 5% Uro-C, 5% EA) had some effects on the number and size of colonospheres but not on ALDH. These data support a role for polyphenols metabolites in the control of colon cancer chemoresistance and relapse and encourage the research on the effects of polyphenols against CSCs. PMID:26995228

  11. Molecular Features and Methylation Status in Early Onset (≤40 Years Colorectal Cancer: A Population Based, Case-Control Study

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    Giulia Magnani

    2015-01-01

    Full Text Available Colorectal cancer is usually considered a disease of the elderly. However, a small fraction of patients develops colorectal cancer earlier. The aim of our study was to define the frequency of known hereditary colorectal syndromes and to characterise genetic and epigenetic features of early nonhereditary tumors. Thirty-three patients ≤40 years with diagnosis of colorectal cancer and 41 patients with disease at >60 years of age were investigated for MSI, Mismatch Repair proteins expression, KRAS and BRAF mutations, hypermethylation, and LINE-1 hypomethylation. Detection of germline mutations was performed in Mismatch Repair, APC and MUTYH genes. Early onset colorectal cancer showed a high incidence of hereditary forms (18%. KRAS mutations were detected in 36% of early nonhereditary tumors. Early onset colorectal cancer disclosed an average number of methylated genes significantly lower when compared to the controls (p=0.02. Finally both of the two groups were highly methylated in ESR1, GATA5, and WT1 genes and were similar for LINE-1 hypomethylation. The genetic make-up of carcinomas differs from young to elderly patients. Early onset tumors showed more frequently a constitutional defective of Mismatch Repair System and a minor number of methylated genes. Hypermethylation of ESR1, GATA5, and WT1 genes suggests possible markers in the earlier diagnosis of colorectal tumorigenesis.

  12. Molecular genetics of colorectal cancer.

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    Bogaert, Julie; Prenen, Hans

    2014-01-01

    Approximately 90% of colorectal cancer cases are sporadic without family history or genetic predisposition, while in less than 10% a causative genetic event has been identified. Historically, colorectal cancer classification was only based on clinical and pathological features. Many efforts have been made to discover the genetic and molecular features of colorectal cancer, and there is more and more evidence that these features determine the prognosis and response to (targeted) treatment. Colorectal cancer is a heterogeneous disease, with three known major molecular groups. The most common is the chromosomal instable group, characterized by an accumulation of mutations in specific oncogenes and tumor suppressor genes. The second is the microsatellite instable group, caused by dysfunction of DNA mismatch repair genes leading to genetic hypermutability. The CpG Island Methylation phenotype is the third group, distinguished by hypermethylation. Colorectal cancer subtyping has also been addressed using genome-wide gene expression profiling in large patient cohorts and recently several molecular classification systems have been proposed. In this review we would like to provide an up-to-date overview of the genetic aspects of colorectal cancer. PMID:24714764

  13. Molecular subtypes and clinicopathological features of breastcancer

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    Irianiwati Irianiwati

    2013-04-01

    Full Text Available Breast cancer is a heterogeneous disease with regard to morphological spectrum, clinical presentation and response to therapy. Based on immunohistochemistry detection of estrogen receptor, progesterone receptor, Her-2 status, proliferation rate and clusters of basal gene expression, breast cancers can be classified into luminal A, luminal B, basal-like/triple negative, and Her-2 positive. It was suggested that there was a close relationship between molecular subtypes and clinicopathological features of breast cancer, as they are very important to predict prognosis and therapeutic implications. Keywords: molecular subtypes - breast cancer- clinicopathological features -heterogeneity –theraputicimplications   Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

  14. Molecular imaging in cancer treatment

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    The success of cancer therapy can be difficult to predict, as its efficacy is often predicated upon characteristics of the cancer, treatment, and individual that are not fully understood or are difficult to ascertain. Monitoring the response of disease to treatment is therefore essential and has traditionally been characterized by changes in tumor volume. However, in many instances, this singular measure is insufficient for predicting treatment effects on patient survival. Molecular imaging allows repeated in vivo measurement of many critical molecular features of neoplasm, such as metabolism, proliferation, angiogenesis, hypoxia, and apoptosis, which can be employed for monitoring therapeutic response. In this review, we examine the current methods for evaluating response to treatment and provide an overview of emerging PET molecular imaging methods that will help guide future cancer therapies. (orig.)

  15. Breast Cancers Between Mammograms Have Aggressive Features

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    Breast cancers that are discovered in the period between regular screening mammograms—known as interval cancers—are more likely to have features associated with aggressive behavior and a poor prognosis than cancers found via screening mammograms.

  16. Analysis of Normal-Tumour Tissue Interaction in Tumours: Prediction of Prostate Cancer Features from the Molecular Profile of Adjacent Normal Cells

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    Trevino, Victor; Tadesse, Mahlet G.; Vannucci, Marina; Al-Shahrour, Fatima; Antczak, Philipp; Durant, Sarah; Bikfalvi, Andreas; Dopazo, Joaquin; Campbell, Moray J.; Falciani, Francesco

    2011-01-01

    Statistical modelling, in combination with genome-wide expression profiling techniques, has demonstrated that the molecular state of the tumour is sufficient to infer its pathological state. These studies have been extremely important in diagnostics and have contributed to improving our understanding of tumour biology. However, their importance in in-depth understanding of cancer patho-physiology may be limited since they do not explicitly take into consideration the fundamental role of the t...

  17. [Molecular Subtypes of Gastric Cancer].

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    Hatogai, Ken; Doi, Toshihiko

    2016-03-01

    Gastric cancer has been classified based on the pathological characteristics including microscopic configuration and growth pattern. Although these classifications have been used in studies investigating prognosis and recurrence pattern, they are not considered for decisions regarding the therapeutic strategy. In the ToGA study, trastuzumab, an anti-HER2 monoclonal antibody, demonstrated clinical efficacy for gastric cancer with HER2 overexpression or HER2 gene amplification. Based on these findings of the ToGA study, the definition of HER2-positive gastric cancer was established. Thereafter, several molecular targeted agents, including agents targeting other receptor tyrosine kinases, have been investigated in gastric cancer. However, to date no biomarker, except HER2, has been established. Based on the recent technological development in the field of gene analysis, a comprehensive molecular evaluation of gastric cancer was performed as part of The Cancer Genome Atlas (TCGA)project, and a new molecular classification was proposed that divided gastric cancer into the following 4 subtypes: tumors positive for Epstein-Barr virus, microsatellite instability tumors, genomically stable tumors, and tumors with chromosomal instability. Each subtype has specific molecular alterations including gene mutation and amplification, DNA methylation, and protein overexpression. Additionally, some subtypes were suggested to be correlated with the clinicopathological characteristics or as targets of some molecular targeted agents that are currently under development. The new molecular classification is expected to be a roadmap for patient stratification and clinical trials on molecular targeted therapies in gastric cancer. PMID:27067842

  18. FEATURES OF BILATERAL BREAST CANCER NODAL METASTASIS

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    Ye. A. Fesik

    2014-01-01

    Full Text Available This article focuses on issues related to the identification and investigation of the lymph node metastases with bilateral breast cancer. The presence of metastases in the lymph nodes determines the stage of the disease, and introducing a form of tumor progression, characterizes the course and prognosis for the future in a specific patient. Thus, the identification of possible morphological and immunohistochemical characteristics of the tumor tissue and their comparison with the frequency and severity of regional lymph nodes would help to solve the problem of the identification of prognostic factors and markers associated with the risk of nodal metastasis in bilateral breast cancer. This work is relevant due to the fact that the literature on this issue to date are treated ambiguously, and answers to many questions, unfortunately, no.The authors performed a morphological study of the tumor tissue from 600 patients suffering from unilateral and bilateral breast cancer. To avoid false results were studied only cases corresponding to the histological type of invasive carcinoma of non-specific type. The study found that a greater number and a greater percentage of the affected lymph node metastases were observed in patients with bilaterally synchronous tumors. The patients of this group of metastatic lymph nodes was detected more frequently in the presence of infiltrative component of three or more types of structures with the presence of these discrete groups of tumor cells, and the observed maximum degree of inflammatory infiltration of the tumor stroma. In the group of patients with unilateral breast cancer nodal metastasis often detects when triple negative molecular genetic type of the lesion, with large amounts of tumor site, in the presence of infiltrative component of three or more types of structures with the obligatory presence of these microalveolar structures and discretely spaced groups of tumor cells and the highest severity of

  19. Molecular imaging in ovarian cancer.

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    Reyners, A K L; Broekman, K E; Glaudemans, A W J M; Brouwers, A H; Arts, H J G; van der Zee, A G J; de Vries, E G E; Jalving, M

    2016-04-01

    Ovarian cancer has a high mortality and novel-targeted treatment strategies have not resulted in breakthroughs for this disease. Insight into the molecular characteristics of ovarian tumors may improve diagnosis and selection of patients for treatment with targeted therapies. A potential way to achieve this is by means of molecular imaging. Generic tumor processes, such as glucose metabolism ((18)F-fluorodeoxyglucose) and DNA synthesis ((18)F-fluorodeoxythymidine), can be visualized non-invasively. More specific targets, such as hormone receptors, growth factor receptors, growth factors and targets of immunotherapy, can also be visualized. Molecular imaging can capture data on intra-patient tumor heterogeneity and is of potential value for individualized, target-guided treatment selection. Early changes in molecular characteristics during therapy may serve as early predictors of response. In this review, we describe the current knowledge on molecular imaging in the diagnosis and as an upfront or early predictive biomarker in patients with ovarian cancer. PMID:27141066

  20. Cancer Stratification by Molecular Imaging

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    Justus Weber

    2015-03-01

    Full Text Available The lack of specificity of traditional cytotoxic drugs has triggered the development of anticancer agents that selectively address specific molecular targets. An intrinsic property of these specialized drugs is their limited applicability for specific patient subgroups. Consequently, the generation of information about tumor characteristics is the key to exploit the potential of these drugs. Currently, cancer stratification relies on three approaches: Gene expression analysis and cancer proteomics, immunohistochemistry and molecular imaging. In order to enable the precise localization of functionally expressed targets, molecular imaging combines highly selective biomarkers and intense signal sources. Thus, cancer stratification and localization are performed simultaneously. Many cancer types are characterized by altered receptor expression, such as somatostatin receptors, folate receptors or Her2 (human epidermal growth factor receptor 2. Similar correlations are also known for a multitude of transporters, such as glucose transporters, amino acid transporters or hNIS (human sodium iodide symporter, as well as cell specific proteins, such as the prostate specific membrane antigen, integrins, and CD20. This review provides a comprehensive description of the methods, targets and agents used in molecular imaging, to outline their application for cancer stratification. Emphasis is placed on radiotracers which are used to identify altered expression patterns of cancer associated markers.

  1. Molecular imaging in cervical cancer.

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    Khan, Sairah R; Rockall, Andrea G; Barwick, Tara D

    2016-06-01

    Despite the development of screening and of a vaccine, cervix cancer is a major cause of cancer death in young women worldwide. A third of women treated for the disease will recur, almost inevitably leading to death. Functional imaging has the potential to stratify patients at higher risk of poor response or relapse by improved delineation of disease extent and tumor characteristics. A number of molecular imaging biomarkers have been shown to predict outcome at baseline and/or early during therapy in cervical cancer. In future this could help tailor the treatment plan which could include selection of patients for close follow up, adjuvant therapy or trial entry for novel agents or adaptive clinical trials. The use of molecular imaging techniques, FDG PET/CT and functional MRI, in staging and response assessment of cervical cancer is reviewed. PMID:26859085

  2. Molecular oncology of lung cancer.

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    Toyooka, Shinichi; Mitsudomi, Tetsuya; Soh, Junichi; Aokage, Keiju; Yamane, Masaomi; Oto, Takahiro; Kiura, Katsuyuki; Miyoshi, Shinichiro

    2011-08-01

    Progress in genetic engineering has made it possible to elucidate the molecular biological abnormalities in lung cancer. Mutations in KRAS and P53 genes, loss of specific alleles, and DNA methylation of the tumor suppressor genes were the major abnormalities investigated between 1980 and the 2000s. In 2004, mutations in the epidermal growth factor receptor (EGFR) gene that cause oncogene addiction were discovered in non-small-cell lung cancers (NSCLCs), especially in adenocarcinomas. Because they are strongly associated with sensitivity to EGFR-tyrosine kinase inhibitors (EGFR-TKIs), a great deal of knowledge has been acquired in regard to both EGFR and other genes in the EGFR family and their downstream genes. Moreover, in 2007 the existence of the echinoderm microtubule-associated protein-like 4 (EML4)-anaplastic lymphoma kinase (ALK) fusion gene was discovered in NSCLC; and the same as EGFR-TKIs, ALK inhibitors are being found to be highly effective in lung cancers that have this translocation. These discoveries graphically illustrate that molecular biological findings are directly linked to the development of clinical oncology and to improving the survival rates of lung cancer patients. Here, we review the remarkable progress in molecular biological knowledge acquired thus far in regard to lung cancer, especially NSCLC, and the future possibilities. PMID:21850578

  3. Molecular classification of gastric cancer.

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    Chia, N-Y; Tan, P

    2016-05-01

    Gastric cancer (GC), a heterogeneous disease characterized by epidemiologic and histopathologic differences across countries, is a leading cause of cancer-related death. Treatment of GC patients is currently suboptimal due to patients being commonly treated in a uniform fashion irrespective of disease subtype. With the advent of next-generation sequencing and other genomic technologies, GCs are now being investigated in great detail at the molecular level. High-throughput technologies now allow a comprehensive study of genomic and epigenomic alterations associated with GC. Gene mutations, chromosomal aberrations, differential gene expression and epigenetic alterations are some of the genetic/epigenetic influences on GC pathogenesis. In addition, integrative analyses of molecular profiling data have led to the identification of key dysregulated pathways and importantly, the establishment of GC molecular classifiers. Recently, The Cancer Genome Atlas (TCGA) network proposed a four subtype classification scheme for GC based on the underlying tumor molecular biology of each subtype. This landmark study, together with other studies, has expanded our understanding on the characteristics of GC at the molecular level. Such knowledge may improve the medical management of GC in the future. PMID:26861606

  4. Topological Features In Cancer Gene Expression Data

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    Lockwood, Svetlana; Krishnamoorthy, Bala

    2014-01-01

    We present a new method for exploring cancer gene expression data based on tools from algebraic topology. Our method selects a small relevant subset from tens of thousands of genes while simultaneously identifying nontrivial higher order topological features, i.e., holes, in the data. We first circumvent the problem of high dimensionality by dualizing the data, i.e., by studying genes as points in the sample space. Then we select a small subset of the genes as landmarks to construct topologic...

  5. Molecular biology of pancreatic cancer

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    Miroslav Zavoral; Petra Minarikova; Filip Zavada; Cyril Salek; Marek Minarik

    2011-01-01

    In spite of continuous research efforts directed at early detection and treatment of pancreatic cancer, the outlook for patients affected by the disease remains dismal. With most cases still being diagnosed at advanced stages, no improvement in survival prognosis is achieved with current diagnostic imaging approaches. In the absence of a dominant precancerous condition, several risk factors have been identified including family history, chronic pancreatitis, smoking, diabetes mellitus, as well as certain genetic disorders such as hereditary pancreatitis, cystic fibrosis, familial atypical multiple Most pancreatic carcinomas, however, remain sporadic. Current progress in experimental molecular techniques has enabled detailed understanding of the molecular processes of pancreatic cancer development. According to the latest information, malignant pancreatic transformation involves multiple oncogenes and tumor-suppressor genes that are involved in a variety of signaling pathways. The most characteristic aberrations (somatic point mutations and allelic losses) affect oncogenes and tumor-suppressor genes within RAS, AKT and Wnt signaling, and have a key role in transcription and proliferation, as well as systems that regulate the cell cycle (SMAD/DPC, CDKN2A/p16) and apoptosis (TP53). Understanding of the underlying molecular mechanisms should promote development of new methodology for early diagnosis and facilitate improvement in current approaches for pancreatic cancer treatment.

  6. Molecular Epidemiology of Female Lung Cancer

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    Seon-Hee Yim; Yeun-Jun Chung

    2011-01-01

    Lung cancer is still a leading cause of cancer mortality in the world. The incidence of lung cancer in developed countries started to decrease mainly due to global anti-smoking campaigns. However, the incidence of lung cancer in women has been increasing in recent decades for various reasons. Furthermore, since the screening of lung cancer is not as yet very effective, clinically applicable molecular markers for early diagnosis are much required. Lung cancer in women appears to have differenc...

  7. Genetics and molecular biology of breast cancer

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    King, M.C. [California Univ., Berkeley, CA (United States); Lippman, M. [Georgetown Univ. Medical Center, Washington, DC (United States)] [comps.

    1992-12-31

    This volume contains the abstracts of oral presentations and poster sessions presented at the Cold Springs Harbor Meeting on Cancer Cells, this meeting entitled Genetics and Molecular Biology of Breast Cancer.

  8. Main clinical epidemiological features of lung cancer

    International Nuclear Information System (INIS)

    A descriptive and cross-sectional study of 95 patients with lung cancer, discharged from Neumology Service at 'Dr Juan Bruno Zayas Alfonso' General Hospital in Santiago de Cuba, was carried out from January, 2008 to December, 2008 in order to identify the main clinical epidemiological features of the aforementioned disease. A malignancy predominance among men aged between 56 and 65 years old, belonging to urban areas and being heavy smoker (out of 30 cigarettes per day over 30 years ), was found. Those affected without a confirmed histological type and IV clinical stage epidermoid carcinoma were predominant. Most of them had the opportunity to be treated. Increasing and intensifying health promotion and disease prevention campaigns were recommended so as to achieve the population to avoid or quit the smoking habit. (author)

  9. Molecular imaging for cancer targeting

    International Nuclear Information System (INIS)

    Full text: Molecular-genetic imaging which has grown rapidly is currently been applied to studies of gene expression regulation, activity of signal transduction pathways, angiogenesis, tumor metastases, stem cell migration, and monitoring cells involved in different components of immune response. Our Molecular and Genetic Imaging Core (MAGIC), established in late 2002, has developed a platform of small animal functional, molecular, and morphologic quantitative imaging techniques which are providing data about biochemical, genetic or pharmacological processes in vivo, and repetitively in the same animal. We first established chimeric reporter and therapeutic gene systems for specific targeting on hepatoma of mouse model. In- vivo microPET and bioluminescence imaging demonstrated the usefulness of tissue specific chimeric tk and hNIS genes. For trafficking the stem cell and cancer cells, we also have established dual and triple reporter gene system and correspondent reporter probes for in vivo imaging by microPET or microSPECT. The second application of translational biomedical imaging of cancer targeting therapy is on the inhibitors of tyrosine kinase, the key enzyme of epidermal growth factor receptor (EGFR). Mutations in the kinase domain of EGFR have higher levels of basal receptor phosphorylation and that are associated with clinical responsiveness to Iressa in patients with non-small cell lung cancer (NSCLC). High mutation rate for EGFR in Taiwanese patients of adenocarcinoma of lung suggests an urgent requirement of a non-invasive imaging tool for pre-treatment and during therapy evaluation of lung cancer patients using EGFR signalling inhibitor. Our current work on radiosynthesis of the analogue of Iressa--morpholino-[124I]-IPQA and in vitro and in vivo studies of high basal EGFR-expressing H1299's derivatives (L858R and E746-A750 del cell lines) subcutaneous tumor xenografts in immunocompromised mice, has proven that [124I]-IPQA is a feasible in vivo imaging

  10. Molecular targets for the treatment of pancreatic cancer: Clinical and experimental studies

    OpenAIRE

    Matsuoka, Tasuku; Yashiro, Masakazu

    2016-01-01

    Pancreatic cancer is the fourth most common cause of cancer deaths worldwide. Although recent therapeutic developments for patients with pancreatic cancer have provided survival benefits, the outcomes for patients with pancreatic cancer remain unsatisfactory. Molecularly targeted cancer therapy has advanced in the past decade with the use of a number of pathways as candidates of therapeutic targets. This review summarizes the molecular features of this refractory disease while focusing on the...

  11. Posterior breast cancer: Mammographic and ultrasonographic features

    Directory of Open Access Journals (Sweden)

    Janković Ana

    2013-01-01

    Full Text Available Background/Aim. Posterior breast cancers are located in the prepectoral region of the breast. Owing to this distinctive anatomical localization, physical examination and mammographic or ultrasonographic evaluation can be difficult. The purpose of the study was to assess possibilities of diagnostic mammography and breast ultrasonography in detection and differentiation of posterior breast cancers. Methods. The study included 40 women with palpable, histopathological confirmed posterior breast cancer. Mammographic and ultrasonographic features were defined according to Breast Imaging Reporting and Data System (BI-RADS lexicon. Results. Based on standard two-view mammography 87.5%, of the cases were classified as BI-RADS 4 and 5 categories, while after additional mammographic views all the cases were defined as BIRADS 4 and 5 categories. Among 96 mammographic descriptors, the most frequent were: spiculated mass (24.0%, architectural distortion (16.7%, clustered microcalcifications (12.6% and focal asymmetric density (12.6%. The differentiation of the spiculated mass was significantly associated with the possibility to visualize the lesion at two-view mammography (p = 0.009, without the association with lesion diameter (p = 0.083 or histopathological type (p = 0.055. Mammographic signs of invasive lobular carcinoma were significantly different from other histopathological types (architectural distortion, p = 0.003; focal asymmetric density, p = 0.019; association of four or five subtle signs of malignancy, p = 0.006. All cancers were detectable by ultrasonography. Mass lesions were found in 82.0% of the cases. Among 153 ultrasonographic descriptors, the most frequent were: irregular mass (15.7%, lobulated mass (7.2%, abnormal color Doppler signals (20.3%, posterior acoustic attenuation (18.3%. Ultrasonographic BI-RADS 4 and 5 categories were defined in 72.5% of the cases, without a significant difference among various histopathological types (p = 0

  12. Molecular features of cellular reprogramming and development.

    Science.gov (United States)

    Smith, Zachary D; Sindhu, Camille; Meissner, Alexander

    2016-03-01

    Differentiating somatic cells are progressively restricted to specialized functions during ontogeny, but they can be experimentally directed to form other cell types, including those with complete embryonic potential. Early nuclear reprogramming methods, such as somatic cell nuclear transfer (SCNT) and cell fusion, posed significant technical hurdles to precise dissection of the regulatory programmes governing cell identity. However, the discovery of reprogramming by ectopic expression of a defined set of transcription factors, known as direct reprogramming, provided a tractable platform to uncover molecular characteristics of cellular specification and differentiation, cell type stability and pluripotency. We discuss the control and maintenance of cellular identity during developmental transitions as they have been studied using direct reprogramming, with an emphasis on transcriptional and epigenetic regulation. PMID:26883001

  13. Molecular Diagnostic Applications in Colorectal Cancer

    Directory of Open Access Journals (Sweden)

    Laura Huth

    2014-06-01

    Full Text Available Colorectal cancer, a clinically diverse disease, is a leading cause of cancer-related death worldwide. Application of novel molecular diagnostic tests, which are summarized in this article, may lead to an improved survival of colorectal cancer patients.  Distinction of these applications is based on the different molecular principles found in colorectal cancer (CRC. Strategies for molecular analysis of single genes (as KRAS or TP53 as well as microarray based techniques are discussed. Moreover, in addition to the fecal occult blood testing (FOBT and colonoscopy some novel assays offer approaches for early detection of colorectal cancer like the multitarget stool DNA test or the blood-based Septin 9 DNA methylation test. Liquid biopsy analysis may also exhibit great diagnostic potential in CRC for monitoring developing resistance to treatment. These new diagnostic tools and the definition of molecular biomarkers in CRC will improve early detection and targeted therapy of colorectal cancer.

  14. Distinct molecular features of different macroscopic subtypes of colorectal neoplasms.

    Directory of Open Access Journals (Sweden)

    Kenichi Konda

    Full Text Available BACKGROUND: Colorectal adenoma develops into cancer with the accumulation of genetic and epigenetic changes. We studied the underlying molecular and clinicopathological features to better understand the heterogeneity of colorectal neoplasms (CRNs. METHODS: We evaluated both genetic (mutations of KRAS, BRAF, TP53, and PIK3CA, and microsatellite instability [MSI] and epigenetic (methylation status of nine genes or sequences, including the CpG island methylator phenotype [CIMP] markers alterations in 158 CRNs including 56 polypoid neoplasms (PNs, 25 granular type laterally spreading tumors (LST-Gs, 48 non-granular type LSTs (LST-NGs, 19 depressed neoplasms (DNs and 10 small flat-elevated neoplasms (S-FNs on the basis of macroscopic appearance. RESULTS: S-FNs showed few molecular changes except SFRP1 methylation. Significant differences in the frequency of KRAS mutations were observed among subtypes (68% for LST-Gs, 36% for PNs, 16% for DNs and 6% for LST-NGs (P<0.001. By contrast, the frequency of TP53 mutation was higher in DNs than PNs or LST-Gs (32% vs. 5% or 0%, respectively (P<0.007. We also observed significant differences in the frequency of CIMP between LST-Gs and LST-NGs or PNs (32% vs. 6% or 5%, respectively (P<0.005. Moreover, the methylation level of LINE-1 was significantly lower in DNs or LST-Gs than in PNs (58.3% or 60.5% vs. 63.2%, P<0.05. PIK3CA mutations were detected only in LSTs. Finally, multivariate analyses showed that macroscopic morphologies were significantly associated with an increased risk of molecular changes (PN or LST-G for KRAS mutation, odds ratio [OR] 9.11; LST-NG or DN for TP53 mutation, OR 5.30; LST-G for PIK3CA mutation, OR 26.53; LST-G or DN for LINE-1 hypomethylation, OR 3.41. CONCLUSION: We demonstrated that CRNs could be classified into five macroscopic subtypes according to clinicopathological and molecular differences, suggesting that different mechanisms are involved in the pathogenesis of colorectal

  15. Molecular therapeutics in pancreas cancer.

    Science.gov (United States)

    Narayanan, Vignesh; Weekes, Colin D

    2016-04-15

    The emergence of the "precision-medicine" paradigm in oncology has ushered in tremendous improvements in patient outcomes in a wide variety of malignancies. However, pancreas ductal adenocarcinoma (PDAC) has remained an obstinate challenge to the oncology community and continues to be associated with a dismal prognosis with 5-year survival rates consistently less than 5%. Cytotoxic chemotherapy with gemcitabine-based regimens has been the cornerstone of treatment in PDAC especially because most patients present with inoperable disease. But in recent years remarkable basic science research has improved our understanding of the molecular and genetic basis of PDAC. Whole genomic analysis has exemplified the genetic heterogeneity of pancreas cancer and has led to ingenious efforts to target oncogenes and their downstream signaling cascades. Novel stromal depletion strategies have been devised based on our enhanced recognition of the complex architecture of the tumor stroma and the various mechanisms in the tumor microenvironment that sustain tumorigenesis. Immunotherapy using vaccines and immune checkpoint inhibitors has also risen to the forefront of therapeutic strategies against PDAC. Furthermore, adoptive T cell transfer and strategies to target epigenetic regulators are being explored with enthusiasm. This review will focus on the recent advances in molecularly targeted therapies in PDAC and offer future perspectives to tackle this lethal disease. PMID:27096032

  16. DNA aptamers as molecular probes for colorectal cancer study.

    Directory of Open Access Journals (Sweden)

    Kwame Sefah

    Full Text Available BACKGROUND: Understanding the molecular features of specific tumors can increase our knowledge about the mechanism(s underlying disease development and progression. This is particularly significant for colorectal cancer, which is a heterogeneous complex of diseases developed in a sequential manner through a multistep carcinogenic process. As such, it is likely that tumors with similar characteristics might originate in the same manner and have a similar molecular behavior. Therefore, specific mapping of the molecular features can be potentially useful for both tumor classification and the development of appropriate therapeutic regimens. However, this can only be accomplished by developing high-affinity molecular probes with the ability to recognize specific markers associated with different tumors. Aptamers can most easily meet this challenge based on their target diversity, flexible manipulation and ease of development. METHODOLOGY AND RESULTS: Using a method known as cell-based Systematic Evolution of Ligands by Exponential enrichment (cell-SELEX and colorectal cancer cultured cell lines DLD-1 and HCT 116, we selected a panel of target-specific aptamers. Binding studies by flow cytometry and confocal microscopy showed that these aptamers have high affinity and selectivity. Our data further show that these aptamers neither recognize normal colon cells (cultured and fresh, nor do they recognize most other cancer cell lines tested. CONCLUSION/SIGNIFICANCE: The selected aptamers can identify specific biomarkers associated with colorectal cancers. We believe that these probes could be further developed for early disease detection, as well as prognostic markers, of colorectal cancers.

  17. Molecular Biology of Esophageal Cancer

    Institute of Scientific and Technical Information of China (English)

    HuanXi; JanBrabender; RalfMetzger; PaulM.Schneider

    2004-01-01

    There have been many new developments in our understanding of esophageal carcinoma biology over the past several years. Information regarding both of the major forms of this disease, adenocarcinoma and squamous cell carcinoma, has accumulated in conjunction with data on precursor conditions such as Barrett's esophagus. Interesting and promising findings have included overexpression of proto-oncogenes,loss of heterozygosity at multiple chromosomal loci, tumor suppressor gene inactivation, epigenetic silencing by DNA methylation, and mutations and deletions involving the tumor suppressor gene p53. Important cancer pathways, the cyclin kinase inhibitor cascade and the DNA mismatch repair process, implicated in the genesis of multiple tumor types have also been inculpated in esophageal carcinogenesis. Alterations in the p16 and p15 cyclin kinase inhibitors including point mutations and homozygous deletions have been reported in primary esophageal tumors. Further developments in the field of molecular carcinogenesis of esophageal malignancies promise to yield improvements in prevention, early detection, prognostic categorization, and perhaps gene-based therapy of this deadly disease.

  18. Hybrid Local Feature Selection In DNA Analysis Based Cancer Classification

    OpenAIRE

    Akila, M.; Mr.S.Senthamarai kannan

    2012-01-01

    Feature selection, as a preprocessing step to machine learning, is effective in reducing dimensionality, removing irrelevant data and increasing learning accuracy. The development of microarray dataset technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it helps us to exactly predict and diagnose cancer. To precisely classify cancer we have to select genes related to cancer. The challenging task in ca...

  19. Morphological features and molecular markers in rectal cancer from 95 patients included in the European Organisation for Research and Treatment of Cancer 22921 trial: Prognostic value and effects of preoperative radio (chemo) therapy

    OpenAIRE

    Debucquoy, Annelies; Libbrecht, Louis; Roobrouck, Valerie; Goethals, Laurence; McBride, William; Haustermans, Karin

    2008-01-01

    In this study, the prognostic and/or predictive value of different proteins (cyclo-oxygenase 2 (COX-2), Ki67 and cleaved cytokeratin (CK) 18) and fibro-inflammatory changes which might be of importance for the response to treatment were evaluated using tissue micro arrays. Samples were obtained from a subset of 95 patients included in the European Organisation for Research and Treatment of Cancer 22921 clinical trial, which randomised patients with rectal cancer to one of four arms treated wi...

  20. Integrated Molecular Profiling in Advanced Cancers Trial

    Science.gov (United States)

    2016-06-21

    Breast Cancer; Non-small Cell Lung Cancer; Colorectal Cancer; Genitourinary Cancer; Pancreatobiliary Gastrointestinal Cancer; Upper Aerodigestive Tract Cancer; Gynecological Cancers; Melanoma Cancers; Rare Cancers; Unknown Primary Cancers

  1. feature - Office of Cancer Clinical Proteomics Research

    Science.gov (United States)

    "Cancer is a disease of the genome," noted Lynda Chin, M.D., professor of dermatology, Harvard Medical School and Dana-Farber Cancer Institute. "And understanding the impact of genomic changes in the proteome is critically important for converting genomic knowledge into something that a clinician can use on their patients."

  2. Genetic and molecular changes in ovarian cancer

    Science.gov (United States)

    Hollis, Robert L; Gourley, Charlie

    2016-01-01

    Epithelial ovarian cancer represents the most lethal gynecological malignancy in the developed world, and can be divided into five main histological subtypes: high grade serous, endometrioid, clear cell, mucinous and low grade serous. These subtypes represent distinct disease entities, both clinically and at the molecular level. Molecular analysis has revealed significant genetic heterogeneity in ovarian cancer, particularly within the high grade serous subtype. As such, this subtype has been the focus of much research effort to date, revealing molecular subgroups at both the genomic and transcriptomic level that have clinical implications. However, stratification of ovarian cancer patients based on the underlying biology of their disease remains in its infancy. Here, we summarize the molecular changes that characterize the five main ovarian cancer subtypes, highlight potential opportunities for targeted therapeutic intervention and outline priorities for future research.

  3. Molecular Profiling of Prostate Cancer Patients

    OpenAIRE

    Nna, Emmanuel Okechukwu

    2009-01-01

    In the UK, more than 30 000 men are diagnosed annually with prostate cancer (PCa) and about 10 000 men die from it each year. Although several molecular markers have been associated with prostate cancer development and/ or progression, only few of them are used in diagnostic pathology. The current standard tests include serum PSA test, digital rectal examination and histology of prostate biopsy. Recently the PCA-3 molecular test was approved in the European Union, and it is now...

  4. Molecular imaging of breast cancer

    NARCIS (Netherlands)

    Adams, A.L.L.

    2014-01-01

    Breast cancer is the most common type of cancer in women. Imaging techniques play a pivotal role in breast cancer management, especially in lesion detection, treatment planning and evaluation, and prognostication. These imaging techniques have however limitations such as the use of ionizing radiatio

  5. Molecular Classification and Correlates in Colorectal Cancer

    OpenAIRE

    Ogino, Shuji; Goel, Ajay

    2008-01-01

    Molecular classification of colorectal cancer is evolving. As our understanding of colorectal carcinogenesis improves, we are incorporating new knowledge into the classification system. In particular, global genomic status [microsatellite instability (MSI) status and chromosomal instability (CIN) status] and epigenomic status [CpG island methylator phenotype (CIMP) status] play a significant role in determining clinical, pathological and biological characteristics of colorectal cancer. In thi...

  6. Expression of eag1 channel associated with the aggressive clinicopathological features and subtype of breast cancer

    OpenAIRE

    Liu, Guang-Xu; Yu, Yun-Cui; He, Xiang-ping; Ren, Sheng-Nan; Fang, Xue-Dong; Liu, Fen; He, Yan

    2015-01-01

    Backgrounds: Expression of eag1 channel (Eag1) is associated with cell malignant transformation, tumor cell metastasis and poor prognosis of the patient. This study aimed at examining whether expression of the Eag1 associated with aggressive clinicopathological feature and the molecular subtype of breast cancer. Materials and Methods: 109 patients who received breast cancer operation during January 2009 to December 2010 in Chinese-Japanese Friendship Hospital of Jilin University were recruite...

  7. Clinical, Pathological, and Molecular Features of Lung Adenocarcinomas with AXL Expression

    OpenAIRE

    Sato, Katsuaki; Suda, Kenichi; Shimizu, Shigeki; Sakai, Kazuko; Mizuuchi, Hiroshi; Tomizawa, Kenji; Takemoto, Toshiki; Nishio, Kazuto; Mitsudomi, Tetsuya

    2016-01-01

    The receptor tyrosine kinase AXL is a member of the Tyro3-Axl-Mer receptor tyrosine kinase subfamily. AXL affects several cellular functions, including growth and migration. AXL aberration is reportedly a marker for poor prognosis and treatment resistance in various cancers. In this study, we analyzed clinical, pathological, and molecular features of AXL expression in lung adenocarcinomas (LADs). We examined 161 LAD specimens from patients who underwent pulmonary resections. When AXL protein ...

  8. Molecular biology of the lung cancer

    International Nuclear Information System (INIS)

    Background. Lung cancer is one of the most common malignant diseases and leading cause of cancer death worldwide. The advances in molecular biology and genetics, including the modern microarray technology and rapid sequencing techniques, have enabled a remarkable progress into elucidating the lung cancer ethiopathogenesis. Numerous studies suggest that more than 20 different genetic and epigenetic alterations are accumulating during the pathogenesis of clinically evident pulmonary cancers as a clonal, multistep process. Thus far, the most investigated alterations are the inactivational mutations and losses of tumour suppressor genes and the overexpression of growth-promoting oncogenes. More recently, the acquired epigenetic inactivation of tumour suppressor genes by promoter hypermethylation has been recognized. The early clonal genetic abnormalities that occur in preneoplastic bronchial epithelium damaged by smoking or other carcinogenes are being identified. The molecular distinctions between small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), as well as between tumors with different clinical outcomes have been described. These investigations lead to the hallmarks of lung cancer. Conclusions. It is realistic to expect that the molecular and cell culture-based investigations will lead to discoveries of new clinical applications with the potential to provide new avenues for early diagnosis, risk assessment, prevention, and most important, new more effective treatment approaches for the lung cancer patients. (author)

  9. Radionuclide molecular target therapy for lung cancer

    International Nuclear Information System (INIS)

    Lung cancer harms people's health or even lives severely. Currently, the morbidity and mortality of lung cancer are ascending all over the world. Accounting for 38.08% of malignant tumor caused death in male and 16% in female in cities,ranking top in both sex. Especially, the therapy of non-small cell lung cancer has not been obviously improved for many years. Recently, sodium/iodide transporter gene transfection and the therapy of molecular target drugs mediated radionuclide are being taken into account and become the new research directions in treatment of advanced lung cancer patients with the development of technology and theory for medical molecular biology and the new knowledge of lung cancer's pathogenesis. (authors)

  10. Exploiting novel molecular targets in gastrointestinal cancers

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Novel molecular targets are being discovered as we learn more about the aberrant processes underlying various cancers. Efforts to translate this knowledge are starting to impact on the care of patients with gastrointestinal cancers. The epidermal growth factor receptor (EGFR) pathway and angiogenesis have been targeted successfully in colorectal cancer with cetuximab, panitunumab and bevacizumab. Similarly, EGFR-targeting with erlotinib yielded significant survival benefit in pancreatic cancer when combined with gemcitabine. The multi-targeting approach with sorafenib has made it the first agent to achieve significant survival benefit in hepatocellular carcinoma. Efforts to exploit the dysregulated Akt/mTOR pathway in GI cancer therapy are ongoing. These molecular targets can be disrupted by various approaches, including the use of monoclonal antibody to intercept extracellular ligands and disrupt receptor-ligand binding, and small molecule inhibitors that interrupt the activation of intracellular kinases.

  11. Analysis of Colon Cancer Features in Croatia

    OpenAIRE

    Silovski, Hrvoje; Buković, Damir; Silovski, Tajana; Jelinčić, Željko; Majerović, Mate; Malojčić, Branko

    2008-01-01

    Qualitative and quantitative parametars were evaluated in 186 colorectal cancer patients. Quality of life was evaluated in subgroup of 84 patients. Correlation between Dukes stage of disease and qualitative (gender, blood type, marital status, region of Croatia from where patients were coming) and quantitative biological parametars (age, body mass index) was analysed. There was no statistically significant difference considering distribution of the patients disease stage and gende...

  12. Molecular biology in lung cancer

    Czech Academy of Sciences Publication Activity Database

    Kalina, I.; Biroš, Erik

    Poland: Institute of Nuclear Physics, 2002. s. 32. [NATO advanced research workshop. 23.06.2002-27.06.2002, Krakow - Poland] Institutional research plan: CEZ:AV0Z5039906 Keywords : cancer Subject RIV: FH - Neurology

  13. Clinicopathological features and prognosis of gastric cancer in young patients

    OpenAIRE

    Liu, Shushang; Feng, Fan; Xu, Guanghui; Liu, Zhen; Tian, Yangzi; Guo, Man; Lian, Xiao; Cai, Lei; Fan, Daiming; Zhang, Hongwei

    2016-01-01

    Background The clinicopathological features and prognosis of gastric cancer in young patients are both limited and controversial. Therefore, the aim of this study was to define the clinicopathological features and prognosis of gastric cancer in young patients after curative resection. Methods From May 2008 to December 2014, 198 young patients (age ≤ 40 years) and 1096 middle-aged patients (55 ≤ age ≤ 64 years) were enrolled in this study. The clinicopathological features and prognosis of gast...

  14. Cancer Hallmarks, Biomarkers and Breast Cancer Molecular Subtypes.

    Science.gov (United States)

    Dai, Xiaofeng; Xiang, Liangjian; Li, Ting; Bai, Zhonghu

    2016-01-01

    Breast cancer is a complex disease encompassing multiple tumor entities, each characterized by distinct morphology, behavior and clinical implications. Besides estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2, novel biomarkers have shown their prognostic and predictive values, complicating our understanding towards to the heterogeneity of such cancers. Ten cancer hallmarks have been proposed by Weinberg to characterize cancer and its carcinogenesis. By reviewing biomarkers and breast cancer molecular subtypes, we propose that the divergent outcome observed from patients stratified by hormone status are driven by different cancer hallmarks. 'Sustaining proliferative signaling' further differentiates cancers with positive hormone receptors. 'Activating invasion and metastasis' and 'evading immune destruction' drive the differentiation of triple negative breast cancers. 'Resisting cell death', 'genome instability and mutation' and 'deregulating cellular energetics' refine breast cancer classification with their predictive values. 'Evading growth suppressors', 'enabling replicative immortality', 'inducing angiogenesis' and 'tumor-promoting inflammation' have not been involved in breast cancer classification which need more focus in the future biomarker-related research. This review novels in its global view on breast cancer heterogeneity, which clarifies many confusions in this field and contributes to precision medicine. PMID:27390604

  15. Molecular Mechanisms Underlying Psychological Stress and Cancer.

    Science.gov (United States)

    Shin, Kyeong Jin; Lee, Yu Jin; Yang, Yong Ryoul; Park, Seorim; Suh, Pann-Ghill; Follo, Matilde Yung; Cocco, Lucio; Ryu, Sung Ho

    2016-01-01

    Psychological stress is an emotion experienced when people are under mental pressure or encounter unexpected problems. Extreme or repetitive stress increases the risk of developing human disease, including cardiovascular disease (CVD), immune diseases, mental disorders, and cancer. Several studies have shown an association between psychological stress and cancer growth and metastasis in animal models and case studies of cancer patients. Stress induces the secretion of stress-related mediators, such as catecholamine, cortisol, and oxytocin, via the activation of the hypothalamic-pituitary-adrenocortical (HPA) axis or the sympathetic nervous system (SNS). These stress-related hormones and neurotransmitters adversely affect stress-induced tumor progression and cancer therapy. Catecholamine is the primary factor that influences tumor progression. It can regulate diverse cellular signaling pathways through adrenergic receptors (ADRs), which are expressed by several types of cancer cells. Activated ADRs enhance the proliferation and invasion abilities of cancer cells, alter cell activity in the tumor microenvironment, and regulate the interaction between cancer and its microenvironment to promote tumor progression. Additionally, other stress mediators, such as glucocorticoids and oxytocin, and their cognate receptors are involved in stress-induced cancer growth and metastasis. Here, we will review how each receptor-mediated signal cascade contributes to tumor initiation and progression and discuss how we can use these molecular mechanisms for cancer therapy. PMID:26916018

  16. New molecular targets against cervical cancer

    Directory of Open Access Journals (Sweden)

    Duenas-Gonzalez A

    2014-12-01

    Full Text Available Alfonso Duenas-Gonzalez,1,2 Alberto Serrano-Olvera,3 Lucely Cetina,4 Jaime Coronel4 1Unit of Biomedical Research in Cancer, Instituto de Investigaciones Biomedicas UNAM/Instituto Nacional de Cancerologia, Mexico City, 2ISSEMyM Cancer Center, Toluca, 3Medical Oncology Service, ABC Medical Center, Mexico City, 4Division of Clinical Research, Instituto Nacional de Cancerologia, Mexico City, Mexico On behalf of the Tumor Study Group Abstract: Cervical cancer is the third most commonly diagnosed cancer worldwide and the fourth leading cause of cancer death in women. Major advances but still insufficient achievements in the treatment of locally advanced and high-risk early stage patients have occurred in the last decade with the incorporation of concurrent cisplatin with radiation and, lately, gemcitabine added to cisplatin chemoradiation. Despite a number of clinical studies incorporating molecular-targeted therapy as radiosensitizers being in progress, so far, only antiangiogenic therapy with bevacizumab added to cisplatin chemoradiation has demonstrated safety and shown encouraging results in a Phase II study. In advanced disease, cisplatin doublets do not have a great impact on the natural history of the disease with median survival rates not exceeding 13 months. The first Phase III study of bevacizumab, added to cisplatin or a non-cisplatin-containing doublet, showed significant increase in both overall survival and progression-free survival. Further studies are needed before bevacizumab plus chemotherapy can be considered the standard of care for advanced disease. Characterization of the mutational landscape of cervical cancer has already been initiated, indicating that, for now, few of these targetable alterations match with available agents. Progress in both the mutational landscape knowledge and developments of novel targeted therapies may result in more effective and individualized treatments for cervical cancer. The potential efficacy of

  17. Molecular markers for thyroid cancer

    International Nuclear Information System (INIS)

    The importance of the study of the thyroid nodule lies in excluding the possibility of a malignant lesion because the majority of lesions are benign but there is a malignancy risk of 5 to 10%. Most of them are well differentiated carcinomas originating in the follicular epithelium. In spite of the fact that the majority are benign lesions, distinguishing them from carcinomas is crucial to treatment and adequate follow-up. Fine-needle biopsy allows making the diagnosis in most of cases. However, this method is restricted, particularly when diagnosing follicular lesions. In an effort to improve the diagnostic accuracy of biopsy and to provide new diagnosing criteria, a number of molecular markers have been put forward, some of which has wide range of approval whereas others still awaits to be validated for further implementation. This article presented an updated review of molecular markers with higher number of evidence, more accessible and potentially usable from a methodological viewpoint for diagnosis of the thyroid nodule before surgery. The importance of the study of the thyroid nodule lies in excluding the possibility of a malignant lesion because the majority of lesions are benign but there is a malignancy risk of 5 to 10%. Most of them are well differentiated carcinomas originating in the follicular epithelium. In spite of the fact that the majority are benign lesions, distinguishing them from carcinomas is crucial to treatment and adequate follow-up. Fine-needle biopsy allows making the diagnosis in most of cases. However, this method is restricted, particularly when diagnosing follicular lesions. In an effort to improve the diagnostic accuracy of biopsy and to provide new diagnosing criteria, a number of molecular markers have been put forward, some of which has wide range of approval whereas others still awaits to be validated for further implementation. This article presented an updated review of molecular markers with higher number of evidence, more

  18. Imaging of Lung Cancer in the Era of Molecular Medicine

    OpenAIRE

    Nishino, Mizuki; Jackman, David M.; Hatabu, Hiroto; Jänne, Pasi A.; Johnson, Bruce E.; Van den Abbeele, Annick D.

    2011-01-01

    Recent discoveries characterizing the molecular basis of lung cancer brought fundamental changes in lung cancer treatment. The authors review the molecular pathogenesis of lung cancer, including genomic abnormalities, targeted therapies, and resistance mechanisms, and discuss lung cancer imaging with novel techniques. Knowledge of the molecular basis of lung cancer is essential for radiologists to properly interpret imaging and assess response to therapy. Quantitative and functional imaging h...

  19. Ovarian and Breast Cancer Spheres Are Similar in Transcriptomic Features and Sensitive to Fenretinide

    Directory of Open Access Journals (Sweden)

    Haiwei Wang

    2013-01-01

    Full Text Available Cancer stem cells (CSCs are resistant to chemotherapy and are ability to regenerate cancer cell populations, thus attracting much attention in cancer research. In this report, we first demonstrated that sphere cells from ovarian cancer cell line A2780 shared many features of CSCs, such as resistance to cisplatin and able to initiate tumors in an efficient manner. Then, we conducted cDNA microarray analysis on spheres from ovarian A2780 cells, and from breast MCF7 and SUM159 cells, and found that molecular pathways underlying spheres from these cancer cell lines were similar to a large extent, suggesting that similar mechanisms are involved in the genesis of CSCs in both ovarian and breast cancer types. In addition, we showed that spheres from these cancer types were highly sensitive to fenretinide, a stimulus of oxidative stress-mediated apoptosis in cancer cells. Thus, our results not only provide important insights into mechanisms underlying CSCs in ovarian and breast cancer, but also lead to the development of more sophisticated protocols of cancer therapy in near future.

  20. [Molecular bases of cancer immunology].

    Science.gov (United States)

    Barrera-Rodríguez, R; Peralta-Zaragoza, O; Madrid-Marina, V

    1995-01-01

    The immune system is a tight network of different types of cells and molecules. The coordinated action of these elements mounts a precise immune response against tumor cells. However, these cells present several escape mechanisms, leading to tumor progression. This paper shows several cellular and molecular events involved in the regulation of the immune response against tumor cells. The interaction of several molecules such as MHC, TcR, adhesins, tumor antigens and cytokines are discussed, as well as the most recent knowledge about escape mechanisms and immunotherapy. PMID:7502157

  1. Molecular subtyping of breast cancer: opportunities for new therapeutic approaches.

    Science.gov (United States)

    Mullan, P B; Millikan, R C

    2007-12-01

    Evidence is accumulating that breast cancer is not one disease but many separate diseases. DNA microarray-based gene expression profiling has demonstrated subtypes with distinct phenotypic features and clinical responses. Prominent among the new subtypes is 'basal-like' breast cancer, one of the 'intrinsic' subtypes defined by negativity for the estrogen, progesterone, and HER2/neu receptors and positivity for cytokeratins-5/6. Focusing on basal-like breast cancer, we discuss how molecular technologies provide new chemotherapy targets, optimising treatment whilst sparing patients from unnecessary toxicity. Clinical trials are needed that incorporate long-term follow-up of patients with well-characterised tumour markers. Whilst the absence of an obvious dominant oncogene driving basal-like breast cancer and the lack of specific therapeutic agents are serious stumbling blocks, this review will highlight several promising therapeutic candidates currently under evaluation. Thus, new molecular technologies should provide a fundamental foundation for better understanding breast and other cancers which may be exploited to save lives. (Part of a Multi-author Review). PMID:17957336

  2. CT features of lung cancer associated with idiopathic pulmonary fibrosis

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jun Hyoung; Song, Koun Sik; Lee, Deok Hee; Kim, Jin Suh; Lim, Tae Hwan [Ulsan Univ. College of Medicine, Seoul (Korea, Republic of)

    1996-01-01

    It is well known that the incidence of lung cancer is high in patients with idiopathic pulmonary fibrosis(IPF). We analyzed the CT features of lung cancer associated with IPF. Retrospective analyzed the CT features of lung cancer associated with IPF. Retrospective analysis was performed in 23 patients with lung cancer(24 lung cancers) associated with IPF. The diagnosis of IPF was made by clinical and CT findings, and lung cancer was confirmed pathologically. We divided the location of lung cancer by lobar distribution and central or peripheral lung zone, and measured the size of mass. We classified the mediastinal lymph node enlargement by American Thoracic Society (ATS) mapping scheme. We evaluated the CT pattern of IPF. The subjects consisted of 6 cases of small cell carcinoma and 18 cases of non-small cell lung cancer. Non-small cell lung cancers were located in the right upper lobe in 5 cases, left upper lobe in 6 cases, right middle lobe in 1 case, right lower lobe in 9 cases, and left lower lobe in 3 cases. Twenty cancers(85%) were located in the peripheral lung zone. Eighteen cancers(73%) were surrounded by fibrotic lung. The size of the mass ranged from 1 to 12 cm, and in 12 cases it was below 3cm in diameter. Mediastinal lymph nodes were enlarged in 22 cases(92%) and classified as N2 or N3 in 15 cases out of 18 non-small cell lung. The size of the mass ranged from 1 to 12 cm, and in 12 cases it was below 3 cm in diameter. Mediastinal lymph nodes were enlarged in 22 cases(92%) and classified as N2 or N3 in 15 cases out of 18 non-small cell lung cancers. CT patterns of underlying IPF were honey-combing in 18 patients(78%) and mixed honey-combing and ground-glass opacity in 5 patients(22%). The lung cancer associated with IPF shows variable cell types. Most of the lung cancers were located peripherally, surrounded by end-stage fibrosis, and were associated with mediastinal lymph node enlargement.

  3. CT features of lung cancer associated with idiopathic pulmonary fibrosis

    International Nuclear Information System (INIS)

    It is well known that the incidence of lung cancer is high in patients with idiopathic pulmonary fibrosis(IPF). We analyzed the CT features of lung cancer associated with IPF. Retrospective analyzed the CT features of lung cancer associated with IPF. Retrospective analysis was performed in 23 patients with lung cancer(24 lung cancers) associated with IPF. The diagnosis of IPF was made by clinical and CT findings, and lung cancer was confirmed pathologically. We divided the location of lung cancer by lobar distribution and central or peripheral lung zone, and measured the size of mass. We classified the mediastinal lymph node enlargement by American Thoracic Society (ATS) mapping scheme. We evaluated the CT pattern of IPF. The subjects consisted of 6 cases of small cell carcinoma and 18 cases of non-small cell lung cancer. Non-small cell lung cancers were located in the right upper lobe in 5 cases, left upper lobe in 6 cases, right middle lobe in 1 case, right lower lobe in 9 cases, and left lower lobe in 3 cases. Twenty cancers(85%) were located in the peripheral lung zone. Eighteen cancers(73%) were surrounded by fibrotic lung. The size of the mass ranged from 1 to 12 cm, and in 12 cases it was below 3cm in diameter. Mediastinal lymph nodes were enlarged in 22 cases(92%) and classified as N2 or N3 in 15 cases out of 18 non-small cell lung. The size of the mass ranged from 1 to 12 cm, and in 12 cases it was below 3 cm in diameter. Mediastinal lymph nodes were enlarged in 22 cases(92%) and classified as N2 or N3 in 15 cases out of 18 non-small cell lung cancers. CT patterns of underlying IPF were honey-combing in 18 patients(78%) and mixed honey-combing and ground-glass opacity in 5 patients(22%). The lung cancer associated with IPF shows variable cell types. Most of the lung cancers were located peripherally, surrounded by end-stage fibrosis, and were associated with mediastinal lymph node enlargement

  4. Biomolecular features of clinical relevance in breast cancer

    NARCIS (Netherlands)

    Daidone, M.G.; Paradiso, A.; Gion, M.; Harbeck, N.; Sweep, C.G.J.; Schmitt, M.

    2004-01-01

    Breast cancer is a heterogeneous disease and its consequent complexity is a major challenge for physicians and biologists. Notwithstanding its potential curability due to the availability of treatment modalities which are effective in the presence of favourable clinical or pathobiological features,

  5. Molecular diagnosis of prostate cancer: Topical issues

    Directory of Open Access Journals (Sweden)

    E. N. Knyazev

    2014-01-01

    Full Text Available Prostate cancer (PC is the second most common cancer and the fifth highest malignancy mortality rate in men worldwide. Although PC is detectable in 15-20% of men during life, its death risk is only about 3%. This means that not all PC cases require the same management tactics. The given review analyzes the current investigations searching for molecular biological markers to predict the course of PC and to choose its treatment policy, including that in the development of resistance to androgen-deprivation therapy.

  6. Molecular diagnosis of prostate cancer: Topical issues

    OpenAIRE

    E. N. Knyazev; K. A. Fomicheva; K. M. Nyushko; Kaprin, A. D.; B. Ya. Alekseev; M. Yu. Shkurnikov

    2014-01-01

    Prostate cancer (PC) is the second most common cancer and the fifth highest malignancy mortality rate in men worldwide. Although PC is detectable in 15-20% of men during life, its death risk is only about 3%. This means that not all PC cases require the same management tactics. The given review analyzes the current investigations searching for molecular biological markers to predict the course of PC and to choose its treatment policy, including that in the development of resistance to androge...

  7. Molecular diagnosis of prostate cancer: Topical issues

    Directory of Open Access Journals (Sweden)

    E. N. Knyazev

    2014-12-01

    Full Text Available Prostate cancer (PC is the second most common cancer and the fifth highest malignancy mortality rate in men worldwide. Although PC is detectable in 15-20% of men during life, its death risk is only about 3%. This means that not all PC cases require the same management tactics. The given review analyzes the current investigations searching for molecular biological markers to predict the course of PC and to choose its treatment policy, including that in the development of resistance to androgen-deprivation therapy.

  8. Integrating tumor microenvironment with cancer molecular classifications

    OpenAIRE

    Becht, Etienne; De Reyniès, Aurélien; Fridman, Wolf H.

    2015-01-01

    Editorial summary The composition of the tumor microenvironment is associated with a patient's prognosis and can be therapeutically targeted. A link between the cellular composition and genomic features of the tumor and its response to immunotherapy is beginning to emerge. Analyzing the microenvironment of tumor molecular subgroups can be a useful approach to tailor immunotherapies.

  9. Molecular mechanisms of metastasis in prostate cancer

    Institute of Scientific and Technical Information of China (English)

    Noel W.Clarke; Claire A.Hart; Mick D.Brown

    2009-01-01

    Prostate cancer (PCa) preferentially metastasizes to the bone marrow stroma of the axial skeleton.This activity is the principal cause of PCa morbidity and mortality.The exact mechanism of PCa metastasis is currently unknown,although considerable progress has been made in determining the key players in this process.In this review,we present the current understanding of the molecular processes driving PCa metastasis to the bone.

  10. Molecular Imaging of Pulmonary Cancer and Inflammation

    OpenAIRE

    Divgi, Chaitanya R.

    2009-01-01

    Molecular imaging (MI) may be defined as imaging in vivo using molecules that report on biologic function. This review will focus on the clinical use of radioactive tracers (nonpharmacologic amounts of compounds labeled with a radioactive substance) that permit external imaging using single photon emission computed tomography (planar, SPECT) or positron emission tomography (PET) imaging. Imaging of lung cancer has been revolutionized with the use of fluorine-18–labeled fluorodeoxyglucose (18F...

  11. The correlations between the MRI features of breast cancer and molecular biological behavior%乳腺癌MRI特征与分子生物学行为的相关性研究

    Institute of Scientific and Technical Information of China (English)

    杨爱萍; 蔡忠刚

    2014-01-01

    目的:探讨乳腺癌MRI特征与ER、PR、Her-2、Ki-67表达及淋巴结转移的相关性,为乳腺癌的疗效评价提供依据。方法28例乳腺癌患者行MR平扫、MR动态增强( MR-DCE)及弥散加权成像( DWI),分析MRI成像特征(大小、边缘、强化、TIC类型、ADC值),并与肿瘤标记物( ER、PR、Her-2、Ki-67)表达、淋巴结转移进行相关性分析。结果①肿瘤标记物的表达及淋巴结转移:ER 阳性19例(67.86%)、PR 阳性18例(64.29%)、Her-2阳性15例(53.6%)、Ki-67阳性17例(60.71%)、淋巴结转移14例(50%)。②肿块型和非肿块型组、环形强化和非环形强化组与肿瘤标记物表达、淋巴结转移比较,差异无统计学意义。③肿瘤最大径>2 cm和≤2 cm组比较,Her-2阳性表达率差异有统计学意义(χ2=5.073,P<0.05);毛刺征和非毛刺征两组比较,PR阳性表达率差异有统计学意义(χ2=6.857, P<0.05)。④淋巴结转移率在TICⅡ型与Ⅲ型组比较,差异有统计学意义(χ2=7.337,P<0.05);ADC值在Her-2阳性和阴性组间比较,差异有统计学意义(t=5.624,P<0.01)。结论乳腺癌MRI征象(大小、毛刺征、TIC类型、ADC值)与肿瘤标记物(PR、Her-2)表达、淋巴结转移具有较高的相关性,分析MR征象有助于乳腺癌疗效的评价。%Objective To investigate the correlation between the MRI features of breast cancer and expression of ER, PR, HER-2, Ki-67 and lymph node metastasis, so as to provide basis for therapeutic evaluation of breast cancer.Methods We carried out MR plain scan, MR dynamic enhancement ( MR-DCE) and diffusion weighted imaging on 28 breast cancer patients;analyzed MRI ima-ging features ( size, edge, enhancement, TIC type and ADC value);and conducted correlation analysis with expression of tumor mark-ers ( ER, PR, Her-2, ki-67) and lymph node metastasis

  12. CPFP Summer Curriculum: Molecular Prevention Course | Division of Cancer Prevention

    Science.gov (United States)

    This Cancer Prevention Fellowship Program (CPFP) one-week course on molecular aspects of cancer prevention follows the Principles and Practice of Cancer Prevention and Control course. It provides a strong background about molecular biology and genetics of cancer, and an overview of cutting-edge research and techniques in the fields of molecular epidemiology, biomarkers, multi-omic, and translational research. The following topics will be typically presented: |

  13. Molecular Features of Wheat Endosperm Arabinoxylan Inclusion in Functional Bread

    Directory of Open Access Journals (Sweden)

    Weili Li

    2013-06-01

    Full Text Available Arabinoxylan (AX is a major dietary fibre component found in a variety of cereals. Numerous health benefits of arabinoxylans have been reported to be associated with their solubility and molecular features. The current study reports the development of a functional bread using a combination of AX-enriched material (AEM and optimal commercial endoxylanase. The total AX content of bread was increased to 8.2 g per 100 g available carbohydrates. The extractability of AX in breads with and without endoxylanase was determined. The results demonstrate that water-extractable AX (WE-AX increased progressively through the bread making process. The application of endoxylanase also increased WE-AX content. The presence of 360 ppm of endoxylanase had positive effects on the bread characteristics in terms of bread volume and firmness by converting the water unextractable (WU-AX to WE-AX. In addition, the molecular weight (Mw distribution of the WE-AX of bread with and without endoxylanase was characterized by size-exclusion chromatography. The results show that as the portion of WE-AX increased, the amount of high Mw WE-AX (higher than 100 kDa decreased, whereas the amount of low Mw WE-AX (lower than 100 kDa increased from 33.2% to 44.2% through the baking process. The low Mw WE-AX further increased to 75.5% with the application of the optimal endoxylanase (360 ppm.

  14. Lung cancer in central Tunisia: epidemiology and clinicopathological features.

    Science.gov (United States)

    Missaoui, Nabiha; Hmissa, Sihem; Landolsi, Hanene; Korbi, Skander; Joma, Wafa; Anjorin, Affissath; Ben Abdelkrim, Soumaya; Beizig, Nadia; Mokni, Moncef

    2011-01-01

    Lung cancer is the most common cancer worldwide but data from Tunisia are limited. The aim of this research was to describe the epidemiology, pathology and clinical features of lung cancer in Central Tunisia. All lung cancer cases diagnosed during a 15-year period were analyzed based on the data of the Cancer Registry of the Center of Tunisia. Five-year age-specific rates, world age-standardized rates (ASR), and annual percent change were calculated using annual data on population size and the estimated age structure. A total of 1,882 incident cases of lung cancer were registered (1,782 males, 100 females). The median age at diagnosis was 64 years for males and 61 years for females, with ASRs of 35.2 per 100,000 among males and 1.5 among females. Over time, there were significant decreasing trends by -6.5% (95% CI: -12.9%; -0.2%) for females and a stable incidence for males at an annual rate of +0.2% (95% CI: -1.6%; +1.8%). The predominant histological type was squamous cell carcinoma in males (36.9%) and adenocarcinoma in females (52%). During 2003-2007, adenocarcinoma became the most frequent (33.7%) followed by squamous cell carcinoma (30.3%) in males. The majority of tumor cases were diagnosed at advanced stages (79.9%). In conclusion, lung cancer has remained the most common cancer diagnosed at advanced stages among Tunisian men. Our findings justify the need to plan and develop effective programs aiming at the control and prevention of the spread of lung cancer in Tunisia. PMID:22296375

  15. Molecular Markers with Predictive and Prognostic Relevance in Lung Cancer

    OpenAIRE

    Alphy Rose-James; TT, Sreelekha

    2012-01-01

    Lung cancer accounts for the majority of cancer-related deaths worldwide of which non-small-cell lung carcinoma alone takes a toll of around 85%. Platinum-based therapy is the stronghold for lung cancer at present. The discovery of various molecular alterations that underlie lung cancer has contributed to the development of specifically targeted therapies employing specific mutation inhibitors. Targeted chemotherapy based on molecular profiling has shown great promise in lung cancer treatment...

  16. Molecular basis of the triple negative breast cancer

    OpenAIRE

    Ayse Feyda Nursal

    2015-01-01

    Breast cancer is the most common type of cancer in women and more than 1 million breast cancer cases are diagnosed each year all over the world. Breast cancer is a complex and heterogeneous disease in terms of its molecular structure, mutation type, metastase properties, clinical course and therapeutic response. Breast cancer is divided into subtypes based on expression properties of molecular markers as estrogen receptor, progestron receptor, human epidermal growth factor receptor 2. Triple-...

  17. Engineered antibodies for molecular imaging of cancer.

    Science.gov (United States)

    Wu, Anna M

    2014-01-01

    Antibody technology has transformed drug development, providing robust approaches to producing highly targeted and active therapeutics that can routinely be advanced through clinical evaluation and registration. In parallel, there is an emerging need to access similarly targeted agents for diagnostic purposes, including non-invasive imaging in preclinical models and patients. Antibody engineering enables modification of key properties (immunogenicity, valency, biological inertness, pharmacokinetics, clearance route, site-specific conjugation) in order to produce targeting agents optimized for molecular imaging. Expanded availability of positron-emitting radionuclides has led to a resurgence of interest and applications of immunoPET (immuno-positron emission tomography). Molecular imaging using engineered antibodies and fragments provides a general approach for assessing cell surface phenotype in vivo and stands to play an increasingly important role in cancer diagnosis, treatment selection, and monitoring of molecularly targeted therapeutics. PMID:24091005

  18. Clinicopathological features of early gastric cancer with duodenal invasion

    Institute of Scientific and Technical Information of China (English)

    Tsutomu Namikawa; Kazuhiro Hanazaki

    2009-01-01

    The incidence of early gastric cancer (EGC) with duodenal invasion is ext remely low, al though advanced gastric cancer that arises in the antrum occasionally invades the duodenum. We investigated the clinicopathological features of EGC with duodenal invasion and provided strategies for clinical management. A Medline search was performed using the keyword "early gastric cancer" and "duodenal invasion". Additional articles were obtained from references within the papers identified by the Medline search. We revealed that EGC with duodenal invasion was of the superficial spreading type of tumor. Tumors > 60 mm in size invaded the duodenum more extensively, and the distance of duodenal invasion from the pyloric ring was further in the elevated type than in the depressed type of tumor. There was no significant difference between the length of duodenal invasion and the histological type of the tumor. Gastric cancer located adjacent to the pyloric ring, even if cancer invasion was confined to the mucosa or submucosa, was more likely to invade the duodenum. The present study reveals that the elevated type of EGC is associated with more extensive duodenal invasion when the tumor size is > 60 mm, thus highlighting the importance of identification of duodenal invasion in these cases. We also reveal that sufficient duodenal resection with a cancer-free distal surgical margin should be performed in cases of duodenal invasion.

  19. Molecularly targeted drugs for metastatic colorectal cancer

    Directory of Open Access Journals (Sweden)

    Cheng YD

    2013-11-01

    Full Text Available Ying-dong Cheng, Hua Yang, Guo-qing Chen, Zhi-cao Zhang Department of General Surgery, Xinqiao Hospital, Third Military Medical University, Chongqing, People's Republic of China Abstract: The survival rate of patients with metastatic colorectal cancer (mCRC has significantly improved with applications of molecularly targeted drugs, such as bevacizumab, and led to a substantial improvement in the overall survival rate. These drugs are capable of specifically targeting the inherent abnormal pathways in cancer cells, which are potentially less toxic than traditional nonselective chemotherapeutics. In this review, the recent clinical information about molecularly targeted therapy for mCRC is summarized, with specific focus on several of the US Food and Drug Administration-approved molecularly targeted drugs for the treatment of mCRC in the clinic. Progression-free and overall survival in patients with mCRC was improved greatly by the addition of bevacizumab and/or cetuximab to standard chemotherapy, in either first- or second-line treatment. Aflibercept has been used in combination with folinic acid (leucovorin–fluorouracil–irinotecan (FOLFIRI chemotherapy in mCRC patients and among patients with mCRC with wild-type KRAS, the outcomes were significantly improved by panitumumab in combination with folinic acid (leucovorin–fluorouracil–oxaliplatin (FOLFOX or FOLFIRI. Because of the new preliminary studies, it has been recommended that regorafenib be used with FOLFOX or FOLFIRI as first- or second-line treatment of mCRC chemotherapy. In summary, an era of new opportunities has been opened for treatment of mCRC and/or other malignancies, resulting from the discovery of new selective targeting drugs. Keywords: metastatic colorectal cancer (mCRC, antiangiogenic drug, bevacizumab, aflibercept, regorafenib, cetuximab, panitumumab, clinical trial, molecularly targeted therapy

  20. Clinical Features of Liver Cancer with Cerebral Hemorrhage.

    Science.gov (United States)

    Lu, Qiuhong; Chen, Li; Zeng, Jinsheng; Huang, Gelun; Qin, Chao; Cheng, Daobin; Yu, Lixia; Liang, Zhijian

    2016-01-01

    BACKGROUND Cerebral hemorrhage is common in patients with cancer, but the clinical features and pathogenesis of liver cancer patients with cerebral hemorrhage are not well known. MATERIAL AND METHODS Liver cancer patients who developed cerebral hemorrhage were recruited from the First Affiliated Hospital of Guangxi Medical University between January 2003 and December 2014. We retrospectively analyzed clinical presentations, results of laboratory tests, and imaging examinations. The clinical features and pathogenesis were summarized. RESULTS Among 11133 patients with liver cancer, 9 patients (0.08%), including 3 females and 6 males met the inclusion criteria. The age range was 48-73 years and the average age was 61.67±8.97 years. Five patients did not have traditional hemorrhage risk factors and 4s had the risk factors; however, all had developed hepatocellular carcinoma, and 3 had developed metastasis. All 9 patients showed elevated tumor markers: an increased AFP level was detected in 6 patients, coagulation dysfunctions in 8 patients, and abnormal liver functions in 6 patients. Five patients had developed cerebral hemorrhagic lesions in the lobes of their brains, while hemorrhagic lesions in the basal ganglia occurred in 3 patients and in the brainstem in only 1 patient. Four patients had clear consciousness, while 5 patients were in coma and showed poor prognosis. CONCLUSIONS Patients who have liver cancer complicated with cerebral hemorrhage usually lack traditional risk factors of cerebral hemorrhage. The site of cerebral hemorrhage is often detected in the lobes of the brain. Coagulation dysfunctions might be the main pathogenesis of liver cancer complicated with cerebral hemorrhage. PMID:27209058

  1. Molecular imaging of apoptosis in cancer

    Energy Technology Data Exchange (ETDEWEB)

    Hakumaeki, Juhana M. [Cellular and Molecular Imaging Group, Department of Biomedical NMR, A.I. Virtanen Institute for Molecular Sciences, University of Kuopio, P.O. Box 1627, FI-70211 Kuopio (Finland) and Department of Clinical Radiology, Kuopio University Hospital, P.O. Box 1777, FI-70211 Kuopio (Finland)]. E-mail: juhana.hakumaki@uku.fi; Liimatainen, Timo [Cellular and Molecular Imaging Group, Department of Biomedical NMR, A.I. Virtanen Institute for Molecular Sciences, University of Kuopio, P.O. Box 1627, FI-70211 Kuopio (Finland)

    2005-11-01

    Apoptosis plays an important role in cancer. Mechanisms hindering its action are implicated in a number of malignancies. Also, the induction of apoptosis plays a pivotal role in non-surgical cancer treatment regimes such as irradiation, chemotherapy, or hormones. Recent advanced in imaging science have made it now possible for us to detect and visualize previously inaccessible and even unrecognized biological phenomena in cells and tissue undergoing apoptosis in vivo. Not only are these imaging techniques painting an intriguing picture of the spatiotemporal characteristics and metabolic and biophysical of apoptosis in situ, but they are expected to have an ever increasing impact in preclinical testing and design of new anticancer agents as well. Rapid and accurate visualization of apoptotic response in the clinical settings can also be of significant diagnostic and prognostic worth. With the advent of molecular medicine and patient-tailored treatment options and therapeutic agents, such monitoring techniques are becoming paramount.

  2. Molecular biology-based diagnosis and therapy for pancreatic cancer

    International Nuclear Information System (INIS)

    Mainly described are author's investigations of the title subject through clinical and basic diagnosis/therapeutic approach. Based on their consideration of carcinogenesis and pathological features of pancreatic cancer (PC), analysis of expression of cancer-related genes in clinically available samples like pancreatic juice and cells biopsied can result in attaining their purposes. Desmoplasia, a pathological feature of PC, possibly induces resistance to therapy and one of strategies is probably its suppression. Targeting stem cells of the mesenchyma as well as those of PC is also a strategy in future. Authors' studies have revealed that quantitation of hTERT (coding teromerase) mRNA levels in PC cells micro-dissected from cytological specimens is an accurate molecular biological diagnostic method applicable clinically. Other cancer-related genes are also useful for the diagnosis and mucin (MUC) family genes are shown to be typical ones for differentiating the precancerous PC, PC and chronic pancreatisis. Efficacy of standard gemcitabine chemotherapy can be individualized with molecular markers concerned to metabolism of the drug like dCK. Radiotherapy/radio-chemotherapy are not so satisfactory for PC treatment now. Authors have found elevated MMP-2 expression and HGF/c-Met signal activation in irradiated PC cells, which can increase the invasive capability; and stimulation of phosphorylation and activation of c-Met/MARK in co-culture of irradiated PC cells with messenchymal cells from PC, which possibly leads to progression of malignancy of PC through their interaction, of which suppression, therefore, can be a new approach to increase the efficacy of radiotherapy. Authors are making effort to introducing adenovirus therapy in clinic; exempli gratia (e.g.), the virus carrying wild type p53, a cancer-suppressive gene, induces apoptosis of PC cells often having its mutated gene. (T.T.)

  3. Molecular Imaging of Biomarkers in Breast Cancer

    Science.gov (United States)

    Ulaner, Gary A.; Riedl, Chris C.; Dickler, Maura N.; Jhaveri, Komal; Pandit-Taskar, Neeta; Weber, Wolfgang

    2016-01-01

    The success of breast cancer therapy is ultimately defined by clinical endpoints such as survival. It is valuable to have biomarkers that can predict the most efficacious therapies or measure response to therapy early in the course of treatment. Molecular imaging has a promising role in complementing and overcoming some of the limitations of traditional biomarkers by providing the ability to perform noninvasive, repeatable whole-body assessments. The potential advantages of imaging biomarkers are obvious and initial clinical studies have been promising, but proof of clinical utility still requires prospective multicenter clinical trials. PMID:26834103

  4. Oral cancer: molecular technologies for risk assessment and diagnosis

    Institute of Scientific and Technical Information of China (English)

    Wan Tao Chen

    2008-01-01

    @@ Purpose: The effective biomarkers related to diagnosis, metastasis, drug resistance and irradiation sensitivity of oral cancers will help the pathologist and oncologist to determine the molecular taxonomy diagnosis and design the individualization treatment for the patients with oral cancers.

  5. Representation of Molecular Electrostatic Potentials of Biopolymer by Self-organizing Feature Map

    Institute of Scientific and Technical Information of China (English)

    QIAO,Xue-Bin(乔学斌); JIANG,Bo(姜波); HOU,Ting-Jun(侯廷军); XU,Xiao-Jie(徐筱杰)

    2001-01-01

    The Kohonen serf-organizing map was introduced to map theprotein molecular surface features.The protein or polypeptideproperties,such as shape and molecular electrostatic poten-rial,can be visualized by seff-organizing map,which wastrained by the 3D surface coordinates.Such maps allow thevisual comparison of molecular properties between proteinshaving common topological or chemical features.``

  6. Molecular markers′ progress of breast cancer treatment efficacy

    OpenAIRE

    Dan Wang; Jingwei Xu; Guang Shi; Guanghao Yin

    2015-01-01

    Breast cancer is a famous malignant tumor which is caused by varieties of mutation in multiple genes. In order to detect breast cancer in an earlier time and take appropriate treatment which includes  predicting treatment efficacy, we need a more accurate method of discovering the occurrence of breast cancer. With the development of molecular biology and biological detection technologies continue to emerge, molecular markers of breast cancer have gaining more and more widespread attention, an...

  7. Molecular profiling of childhood cancer: Biomarkers and novel therapies

    Directory of Open Access Journals (Sweden)

    Federica Saletta

    2014-06-01

    General significance: The increasing recognition of the heterogeneity of molecular causes of cancer favors the continued development of molecularly targeted agents, and their transfer to pediatric and adolescent populations.

  8. Fecal Molecular Markers for Colorectal Cancer Screening

    Directory of Open Access Journals (Sweden)

    Rani Kanthan

    2012-01-01

    Full Text Available Despite multiple screening techniques, including colonoscopy, flexible sigmoidoscopy, radiological imaging, and fecal occult blood testing, colorectal cancer remains a leading cause of death. As these techniques improve, their sensitivity to detect malignant lesions is increasing; however, detection of precursor lesions remains problematic and has generated a lack of general acceptance for their widespread usage. Early detection by an accurate, noninvasive, cost-effective, simple-to-use screening technique is central to decreasing the incidence and mortality of this disease. Recent advances in the development of molecular markers in faecal specimens are encouraging for its use as a screening tool. Genetic mutations and epigenetic alterations that result from the carcinogenetic process can be detected by coprocytobiology in the colonocytes exfoliated from the lesion into the fecal matter. These markers have shown promising sensitivity and specificity in the detection of both malignant and premalignant lesions and are gaining popularity as a noninvasive technique that is representative of the entire colon. In this paper, we summarize the genetic and epigenetic fecal molecular markers that have been identified as potential targets in the screening of colorectal cancer.

  9. Breast Cancer Detection with Gabor Features from Digital Mammograms

    Directory of Open Access Journals (Sweden)

    Yufeng Zheng

    2010-01-01

    Full Text Available A new breast cancer detection algorithm, named the “Gabor Cancer Detection” (GCD algorithm, utilizing Gabor features is proposed. Three major steps are involved in the GCD algorithm, preprocessing, segmentation (generating alarm segments, and classification (reducing false alarms. In preprocessing, a digital mammogram is down-sampled, quantized, denoised and enhanced. Nonlinear diffusion is used for noise suppression. In segmentation, a band-pass filter is formed by rotating a 1-D Gaussian filter (off center in frequency space, termed as “Circular Gaussian Filter” (CGF. A CGF can be uniquely characterized by specifying a central frequency and a frequency band. A mass or calcification is a space-occupying lesion and usually appears as a bright region on a mammogram. The alarm segments (suspicious to be masses/calcifications can be extracted out using a threshold that is adaptively decided upon the histogram analysis of the CGF-filtered mammogram. In classification, a Gabor filter bank is formed with five bands by four orientations (horizontal, vertical, 45 and 135 degree in Fourier frequency domain. For each mammographic image, twenty Gabor-filtered images are produced. A set of edge histogram descriptors (EHD are then extracted from 20 Gabor images for classification. An EHD signature is computed with four orientations of Gabor images along each band and five EHD signatures are then joined together to form an EHD feature vector of 20 dimensions. With the EHD features, the fuzzy C-means clustering technique and k-nearest neighbor (KNN classifier are used to reduce the number of false alarms. The experimental results tested on the DDSM database (University of South Florida show the promises of GCD algorithm in breast cancer detection, which achieved TP (true positive rate = 90% at FPI (false positives per image = 1.21 in mass detection; and TP = 93% at FPI = 1.19 in calcification detection.

  10. Molecular diagnosis for personalized target therapy in gastric cancer.

    Science.gov (United States)

    Cho, Jae Yong

    2013-09-01

    Gastric cancer is the second leading cause of cancer-related deaths worldwide. In advanced and metastatic gastric cancer, the conventional chemotherapy with limited efficacy shows an overall survival period of about 10 months. Patient specific and effective treatments known as personalized cancer therapy is of significant importance. Advances in high-throughput technologies such as microarray and next generation sequencing for genes, protein expression profiles and oncogenic signaling pathways have reinforced the discovery of treatment targets and personalized treatments. However, there are numerous challenges from cancer target discoveries to practical clinical benefits. Although there is a flood of biomarkers and target agents, only a minority of patients are tested and treated accordingly. Numerous molecular target agents have been under investigation for gastric cancer. Currently, targets for gastric cancer include the epidermal growth factor receptor family, mesenchymal-epithelial transition factor axis, and the phosphatidylinositol 3-kinase-AKT-mammalian target of rapamycin pathways. Deeper insights of molecular characteristics for gastric cancer has enabled the molecular classification of gastric cancer, the diagnosis of gastric cancer, the prediction of prognosis, the recognition of gastric cancer driver genes, and the discovery of potential therapeutic targets. Not only have we deeper insights for the molecular diversity of gastric cancer, but we have also prospected both affirmative potentials and hurdles to molecular diagnostics. New paradigm of transdisciplinary team science, which is composed of innovative explorations and clinical investigations of oncologists, geneticists, pathologists, biologists, and bio-informaticians, is mandatory to recognize personalized target therapy. PMID:24156032

  11. Molecular Subtyping of Serous Ovarian Tumors Reveals Multiple Connections to Intrinsic Breast Cancer Subtypes

    DEFF Research Database (Denmark)

    Jönsson, Jenny-Maria; Johansson, Ida; Dominguez-Valentin, Mev;

    2014-01-01

    OBJECTIVE: Transcriptional profiling of epithelial ovarian cancer has revealed molecular subtypes correlating to biological and clinical features. We aimed to determine gene expression differences between malignant, benign and borderline serous ovarian tumors, and investigate similarities with the...... well-established intrinsic molecular subtypes of breast cancer. METHODS: Global gene expression profiling using Illumina's HT12 Bead Arrays was applied to 59 fresh-frozen serous ovarian malignant, benign and borderline tumors. Nearest centroid classification was performed applying previously published...... gene profiles for the ovarian and breast cancer subtypes. Correlations to gene expression modules representing key biological breast cancer features were also sought. Validation was performed using an independent, publicly available dataset. RESULTS: 5,944 genes were significantly differentially...

  12. Brain metastases from esophageal cancers. Clinical features and treatment results

    International Nuclear Information System (INIS)

    Metastatic brain tumors from esophageal cancer are relatively rare. We analyzed the clinical features and results of treatment in 14 cases of brain metastases from esophageal carcinoma. The average time to diagnosis of brain metastases in the 11 patients with metachronous lesions was 13 months. The average age of patients at the diagnosis of brain metastasis was 65 years. Most patients had T4 or N1 disease at the time of diagnosis of esophageal cancer. Performance status of grade 3 was most frequent at the time of diagnosis of brain metastasis. Treatment for brain metastases was surgery followed by radiation in five cases, radiotherapy alone in seven cases, and conservative treatment in two cases. The median survival time of all patients from the treatment of brain metastases was 2 months, with only one patient alive after more than one year. Improvement in neurological symptoms was demonstrated in 42% of cases. These extremely poor treatment results reflect the fact that most patients at the time of diagnosis of brain metastasis had poor performance status and the presence of extracerebral metastases. Therefore, a short-course, high-dose-per-fraction treatment for brain metastases from esophageal cancer should be selected from the viewpoint of quality of life. (author)

  13. Hormonal and molecular aspects of endometrioid endometrial cancer

    NARCIS (Netherlands)

    Jongen, Vincentius Hubertus Willibrordus Maria

    2008-01-01

    This thesis concerns the expression and prognostic value of various hormones and molecular markers playing a role n endometrioid endometrial cancer. Especially we were interested in the enzyme aromatase, its expression and (prognostic) role in endometrioid endometrial cancer. Endometrial cancer is t

  14. Quantitative imaging features to predict cancer status in lung nodules

    Science.gov (United States)

    Liu, Ying; Balagurunathan, Yoganand; Atwater, Thomas; Antic, Sanja; Li, Qian; Walker, Ronald; Smith, Gary T.; Massion, Pierre P.; Schabath, Matthew B.; Gillies, Robert J.

    2016-03-01

    Background: We propose a systematic methodology to quantify incidentally identified lung nodules based on observed radiological traits on a point scale. These quantitative traits classification model was used to predict cancer status. Materials and Methods: We used 102 patients' low dose computed tomography (LDCT) images for this study, 24 semantic traits were systematically scored from each image. We built a machine learning classifier in cross validation setting to find best predictive imaging features to differentiate malignant from benign lung nodules. Results: The best feature triplet to discriminate malignancy was based on long axis, concavity and lymphadenopathy with average AUC of 0.897 (Accuracy of 76.8%, Sensitivity of 64.3%, Specificity of 90%). A similar semantic triplet optimized on Sensitivity/Specificity (Youden's J index) included long axis, vascular convergence and lymphadenopathy which had an average AUC of 0.875 (Accuracy of 81.7%, Sensitivity of 76.2%, Specificity of 95%). Conclusions: Quantitative radiological image traits can differentiate malignant from benign lung nodules. These semantic features along with size measurement enhance the prediction accuracy.

  15. Molecular genetic analysis of tumor suppressor genes in ovarian cancer

    International Nuclear Information System (INIS)

    To examine the loci of putative tumor suppressor genes in ovarian cancers, we performed the molecular genetic analysis with fresh human ovarian cancers and observed the following data. Frequent allelic losses were observed on chromosomes 4p(42%), 6p(50%), 7p(43%), 8q(31%), 12p(38%), 12q(33%), 16p(33%), 16q(37%), and 19p(34%) in addition to the previously reported 6q, 11p, and 17p in ovarian caroinomas. we have used an additional probe, TCP10 to narrow down the deleted region on chromosome 6q. TCP10 was reported to be mapped to 6q 25-27. Allelic loss was found to be 40% in epithelial ovarian caroinomas. This finding suggests that chromosome 6q 24-27 is one of putative region haboring the tumor suppressor gene of epithelial ovarian cancer (particularly serous type). To examine the association between FAL(Fractional Allelic Loss) and histopathological features, the FAL value on each phenotypically different tumor was calculated as the ratio of the number of allelic losses versus the number of cases informative in each chromosomal arm. The average FALs for each phenotypically different tumor were: serous cystoadenocarcinomas. FAL=0.31 : mucinous 0.12 : and clear cell carcinoma. FAL=0.20. (Author)

  16. Molecular pathogenesis of sporadic colorectal cancers.

    Science.gov (United States)

    Yamagishi, Hidetsugu; Kuroda, Hajime; Imai, Yasuo; Hiraishi, Hideyuki

    2016-01-01

    Colorectal cancer (CRC) results from the progressive accumulation of genetic and epigenetic alterations that lead to the transformation of normal colonic mucosa to adenocarcinoma. Approximately 75% of CRCs are sporadic and occur in people without genetic predisposition or family history of CRC. During the past two decades, sporadic CRCs were classified into three major groups according to frequently altered/mutated genes. These genes have been identified by linkage analyses of cancer-prone families and by individual mutation analyses of candidate genes selected on the basis of functional data. In the first half of this review, we describe the genetic pathways of sporadic CRCs and their clinicopathologic features. Recently, large-scale genome analyses have detected many infrequently mutated genes as well as a small number of frequently mutated genes. These infrequently mutated genes are likely described in a limited number of pathways. Gene-oriented models of CRC progression are being replaced by pathway-oriented models. In the second half of this review, we summarize the present knowledge of this research field and discuss its prospects. PMID:26738600

  17. Unsupervised feature construction and knowledge extraction from genome-wide assays of breast cancer with denoising autoencoders.

    Science.gov (United States)

    Tan, Jie; Ung, Matthew; Cheng, Chao; Greene, Casey S

    2015-01-01

    Big data bring new opportunities for methods that efficiently summarize and automatically extract knowledge from such compendia. While both supervised learning algorithms and unsupervised clustering algorithms have been successfully applied to biological data, they are either dependent on known biology or limited to discerning the most significant signals in the data. Here we present denoising autoencoders (DAs), which employ a data-defined learning objective independent of known biology, as a method to identify and extract complex patterns from genomic data. We evaluate the performance of DAs by applying them to a large collection of breast cancer gene expression data. Results show that DAs successfully construct features that contain both clinical and molecular information. There are features that represent tumor or normal samples, estrogen receptor (ER) status, and molecular subtypes. Features constructed by the autoencoder generalize to an independent dataset collected using a distinct experimental platform. By integrating data from ENCODE for feature interpretation, we discover a feature representing ER status through association with key transcription factors in breast cancer. We also identify a feature highly predictive of patient survival and it is enriched by FOXM1 signaling pathway. The features constructed by DAs are often bimodally distributed with one peak near zero and another near one, which facilitates discretization. In summary, we demonstrate that DAs effectively extract key biological principles from gene expression data and summarize them into constructed features with convenient properties. PMID:25592575

  18. Distribution and pathological features of pancreatic, ampullary, biliary and duodenal cancers resected with pancreaticoduodenectomy

    OpenAIRE

    Chandrasegaram, Manju D.; Chiam, Su C; Chen, John W.; Khalid, Aisha; Mittinty, Murthy L; Neo, Eu L.; Tan, Chuan P; Dolan, Paul M; Brooke-Smith, Mark E.; Kanhere, Harsh; Worthley, Chris S

    2015-01-01

    Background Pancreatic cancer (PC) has the worst survival of all periampullary cancers. This may relate to histopathological differences between pancreatic cancers and other periampullary cancers. Our aim was to examine the distribution and histopathologic features of pancreatic, ampullary, biliary and duodenal cancers resected with a pancreaticoduodenectomy (PD) and to examine local trends of periampullary cancers resected with a PD. Methods A retrospective review of PD between January 2000 a...

  19. Molecular Dimensions of Gastric Cancer: Translational and Clinical Perspectives.

    Science.gov (United States)

    Choi, Yoon Young; Noh, Sung Hoon; Cheong, Jae-Ho

    2016-01-01

    Gastric cancer is a global health burden and has the highest incidence in East Asia. This disease is complex in nature because it arises from multiple interactions of genetic, local environmental, and host factors, resulting in biological heterogeneity. This genetic intricacy converges on molecular characteristics reflecting the pathophysiology, tumor biology, and clinical outcome. Therefore, understanding the molecular characteristics at a genomic level is pivotal to improving the clinical care of patients with gastric cancer. A recent landmark study, The Cancer Genome Atlas (TCGA) project, showed the molecular landscape of gastric cancer through a comprehensive molecular evaluation of 295 primary gastric cancers. The proposed molecular classification divided gastric cancer into four subtypes: Epstein-Barr virus-positive, microsatellite unstable, genomic stable, and chromosomal instability. This information will be taken into account in future clinical trials and will be translated into clinical therapeutic decisions. To fully realize the clinical benefit, many challenges must be overcome. Rapid growth of high-throughput biology and functional validation of molecular targets will further deepen our knowledge of molecular dimensions of this cancer, allowing for personalized precision medicine. PMID:26498010

  20. Clinical, Pathological, and Molecular Features of Lung Adenocarcinomas with AXL Expression.

    Science.gov (United States)

    Sato, Katsuaki; Suda, Kenichi; Shimizu, Shigeki; Sakai, Kazuko; Mizuuchi, Hiroshi; Tomizawa, Kenji; Takemoto, Toshiki; Nishio, Kazuto; Mitsudomi, Tetsuya

    2016-01-01

    The receptor tyrosine kinase AXL is a member of the Tyro3-Axl-Mer receptor tyrosine kinase subfamily. AXL affects several cellular functions, including growth and migration. AXL aberration is reportedly a marker for poor prognosis and treatment resistance in various cancers. In this study, we analyzed clinical, pathological, and molecular features of AXL expression in lung adenocarcinomas (LADs). We examined 161 LAD specimens from patients who underwent pulmonary resections. When AXL protein expression was quantified (0, 1+, 2+, 3+) according to immunohistochemical staining intensity, results were 0: 35%; 1+: 20%; 2+: 37%; and 3+: 7% for the 161 samples. AXL expression status did not correlate with clinical features, including smoking status and pathological stage. However, patients whose specimens showed strong AXL expression (3+) had markedly poorer prognoses than other groups (P = 0.0033). Strong AXL expression was also significantly associated with downregulation of E-cadherin (P = 0.025) and CD44 (P = 0.0010). In addition, 9 of 12 specimens with strong AXL expression had driver gene mutations (6 with EGFR, 2 with KRAS, 1 with ALK). In conclusion, we found that strong AXL expression in surgically resected LADs was a predictor of poor prognosis. LADs with strong AXL expression were characterized by mesenchymal status, higher expression of stem-cell-like markers, and frequent driver gene mutations. PMID:27100677

  1. Features of ovarian cancer in Lynch syndrome (Review)

    OpenAIRE

    NAKAMURA, KANAKO; Banno, Kouji; YANOKURA, MEGUMI; Iida, Miho; ADACHI, MASATAKA; Masuda, Kenta; UEKI, ARISA; KOBAYASHI, YUSUKE; NOMURA, HIROYUKI; Hirasawa, Akira; TOMINAGA, EIICHIRO; Aoki, Daisuke

    2014-01-01

    Lynch syndrome is a hereditary ovarian cancer with a prevalence of 0.9–2.7%. Lynch syndrome accounts for 10–15% of hereditary ovarian cancers, while hereditary breast and ovarian cancer syndrome accounts for 65–75% of these cancers. The lifetime risk for ovarian cancer in families with Lynch syndrome is ~8%, which is lower than colorectal and endometrial cancers, and ovarian cancer is not listed in the Amsterdam Criteria II. More than half of sporadic ovarian cancers are diagnosed in stage II...

  2. Incorporation of quantum statistical features in molecular dynamics

    International Nuclear Information System (INIS)

    We formulate a method for incorporating quantum fluctuations into molecular-dynamics simulations of many-body systems, such as those employed for energetic nuclear collision processes. Based on Fermi's Golden Rule, we allow spontaneous transitions to occur between the wave packets which are not energy eigenstates. The ensuing diffusive evolution in the space of the wave packet parameters exhibits appealing physical properties, including relaxation towards quantum-statistical equilibrium. (author)

  3. [Molecular biological predictors for kidney cancer].

    Science.gov (United States)

    Vtorushin, S V; Tarakanova, V O; Zavyalova, M V

    2016-01-01

    The paper considers the data available in the modern literature on studies of potential molecular predictors for renal cell carcinoma (RCC). Investigations of cell death markers, namely; Bcl-2 as an inhibitor of apoptosis, are of interest. Its high expression correlates with a more favorable prognosis. Inactivation of Berclin 1 that is an authophagy indicator in intact tissues gives rise to t high risk for tumorigenesis. At the same time, high Beclin 1 expression in the tissue of the tumor itself results in the lower efficiency of performed chemotherapy. Excess annexin A2 in the tumor promotes the growth and invasion of cancer cells. Patients with tumor over-expression of SAM68 protein involved in cell proliferation have a lower overall survival rate. The lifespan of patients without distinct metastases survive significantly longer in the overexpression of epithelial cell adhesion molecule (EpCAM). High PD-L1 protein expression on the cell membrane is considered to be a potential marker of effective immunotherapy for RCC. PMID:27077146

  4. Molecular biology of breast cancer metastasis Molecular expression of vascular markers by aggressive breast cancer cells

    International Nuclear Information System (INIS)

    During embryogenesis, the formation of primary vascular networks occurs via the processes of vasculogenesis and angiogenesis. In uveal melanoma, vasculogenic mimicry describes the 'embryonic-like' ability of aggressive, but not nonaggressive, tumor cells to form networks surrounding spheroids of tumor cells in three-dimensional culture; these recapitulate the patterned networks seen in patients' aggressive tumors and correlates with poor prognosis. The molecular profile of these aggressive tumor cells suggests that they have a deregulated genotype, capable of expressing vascular phenotypes. Similarly, the embryonic-like phenotype expressed by the aggressive human breast cancer cells is associated with their ability to express a variety of vascular markers. These studies may offer new insights for consideration in breast cancer diagnosis and therapeutic intervention strategies

  5. Clinical, Epidemiologic, Histopathologic and Molecular Features of an Unexplained Dermopathy

    OpenAIRE

    Pearson, Michele L.; Selby, Joseph V.; Katz, Kenneth A; Cantrell, Virginia; Braden, Christopher R.; Parise, Monica E.; Paddock, Christopher D.; Michael R Lewin-Smith; Kalasinsky, Victor F.; Goldstein, Felicia C.; Hightower, Allen W.; Papier, Arthur; Lewis, Brian; Motipara, Sarita; Eberhard, Mark L.

    2012-01-01

    Background Morgellons is a poorly characterized constellation of symptoms, with the primary manifestations involving the skin. We conducted an investigation of this unexplained dermopathy to characterize the clinical and epidemiologic features and explore potential etiologies. Methods A descriptive study was conducted among persons at least 13 years of age and enrolled in Kaiser Permanente Northern California (KPNC) during 2006–2008. A case was defined as the self-reported emergence of fibers...

  6. Epigenetic: a molecular link between testicular cancer and environmental exposures?

    Directory of Open Access Journals (Sweden)

    DavidHVOLLE

    2012-11-01

    Here we will review chromatin modifications which can affect testicular physiology leading to the development of testicular cancer; and highlight potential molecular pathways involved in these alterations in the context of environmental exposures.

  7. Skeletal Muscle Laminopathies: A Review of Clinical and Molecular Features.

    Science.gov (United States)

    Maggi, Lorenzo; Carboni, Nicola; Bernasconi, Pia

    2016-01-01

    LMNA-related disorders are caused by mutations in the LMNA gene, which encodes for the nuclear envelope proteins, lamin A and C, via alternative splicing. Laminopathies are associated with a wide range of disease phenotypes, including neuromuscular, cardiac, metabolic disorders and premature aging syndromes. The most frequent diseases associated with mutations in the LMNA gene are characterized by skeletal and cardiac muscle involvement. This review will focus on genetics and clinical features of laminopathies affecting primarily skeletal muscle. Although only symptomatic treatment is available for these patients, many achievements have been made in clarifying the pathogenesis and improving the management of these diseases. PMID:27529282

  8. Epidermal growth factor receptor targeted molecularly therapies of cancers

    International Nuclear Information System (INIS)

    Epidermal growth factor receptor (EGFR) has been known to be a significant factor in the development and growth of many types of cancers. It is now accepted that the EGFR signal transduction net work plays an important role in multiple tumorigenic processes, contributing to cancer cell proliferation, angiogenesis, and metastasis, as well as protection from apoptosis. Recently, EGFR monoclonal antibodies (McAb) and epidermal growth factor receptor-tyrosine kinase (EGFR-TK) inhibitors have been validated as new treatment approach for those EGFR-positive cancers and have shown activity aginst advanced, chemofractory cancers in clinical trials. This article focuses on three EGFR targeted molecularly therapies of cancers. (authors)

  9. Molecular concept in human oral cancer

    OpenAIRE

    Krishna, Akhilesh; Singh, Shraddha; Kumar, Vijay; Pal, U. S.

    2015-01-01

    The incidence of oral cancer remains high in both Asian and Western countries. Several risk factors associated with development of oral cancer are now well-known, including tobacco chewing, smoking, and alcohol consumption. Cancerous risk factors may cause many genetic events through chromosomal alteration or mutations in genetic material and lead to progression and development of oral cancer through histological progress, carcinogenesis. Oral squamous carcinogenesis is a multistep process in...

  10. Applications of molecular MRI and optical imaging in cancer

    OpenAIRE

    Penet, Marie-France; Mikhaylova, Maria; Li, Cong; Krishnamachary, Balaji; Glunde, Kristine; Pathak, Arvind P.; Bhujwalla, Zaver M.

    2010-01-01

    Some of the most exciting advances in molecular-functional imaging of cancer are occurring at the interface between chemistry and imaging. Several of these advances have occurred through the development of novel imaging probes that report on molecular pathways, the tumor micro-environment and the response of tumors to treatment; as well as through novel image-guided platforms such as nanoparticles and nanovesicles that deliver therapeutic agents against specific targets and pathways. Cancer c...

  11. Molecular mechanisms of tamoxifen-associated endometrial cancer (Review)

    OpenAIRE

    Hu, Rong; Hilakivi-Clarke, Leena; Clarke, Robert

    2015-01-01

    Tamoxifen has been prescribed to millions of females for breast cancer prevention or treatment. However, tamoxifen is known to significantly enhance the risk of developing endometrial lesions, including hyperplasia, polyps, carcinomas, and sarcoma. Notably, tamoxifen-associated endometrial cancer often has a poor clinical outcome. Understanding the molecular mechanism of tamoxifen-induced endometrial cancer is essential for developing strategies that minimize tamoxifen’s effects on the endome...

  12. Targeted therapies in epithelial ovarian cancer: Molecular mechanisms of action

    Institute of Scientific and Technical Information of China (English)

    Hiroaki; Itamochi

    2010-01-01

    Ovarian cancer is the leading cause of death in women with gynecological cancer. Most patients are diagnosed at an advanced stage and have a poor prognosis.Currently, surgical tumor debulking, followed by platinum- and taxane-based chemotherapy is the standard treatment for advanced ovarian cancer. However, these patients are at great risk of recurrence and emerging drug resistance. Therefore, novel treatment strategies are required to improve outcomes for women with advanced ovarian cancer. A variety of molecular targeted agents, the majority of which are monoclonal antibodies and small-molecule protein-kinase inhibitors, have been explored in the management of ovarian cancer. The targets of these agents include angiogenesis, the human epidermal growth factor receptor family, ubiquitinproteasome pathway, epigenetic modulators, poly(ADPribose) polymerase (PARP), and mammalian target of rapamycin (mTOR) signaling pathway, which are aberrant in tumor tissue. The antiangiogenic agent, bevacizumab, has been reported as the most effective targeted agent and should be included in the standard chemotherapeutic regimen for advanced ovarian cancer. PARP inhibitors, which are mainly used in breast and ovarian cancer susceptibility gene-mutated patients, and mTOR inhibitors are also attractive treatment strategies, either alone or combination with chemotherapy, for ovarian cancer. Understanding the tumor molecular biology and identification of predictive biomarkers are essential steps for selection of the best treatment strategies. This article reviews the molecular mechanisms of the most promising targeted agents that are under early phase clinical evaluation for ovarian cancer.

  13. Molecular features and genetic markers of gastrointestinal stromal tumors

    Directory of Open Access Journals (Sweden)

    N. N. Mazurenko

    2015-06-01

    Full Text Available Gastrointestinal stromal tumors (GISTs are the most spread mesenchymal tumors located within the gastrointestinal tract that have particular clinico-morphological, immunohistochemical and molecular characteristics. The distinguishing mark of GISTs is the presence of the cell-surface antigen CD117 (KIT receptor tyrosine kinase, identified by immunohistochemistry. GISTs consist of tumors with various activating mutations in KIT (75–80 % or PDGFRA (5–15 % receptor tyrosine kinases. Numerous KIT and PDGFRA mutations are associated with specific GIST morphology, histologic phenotype, metastasizing and prognosis. 10–15 % of GISTs contain KIT and PDGFRA wild type genes, some of them have driver BRAF, IGF1R or PIK3CA mutations. The other GISTs patients have familial syndromes (neurofibromatosis type 1, Carney–Stratakis syndrome, Carney triad and contain germline mutations of NF1 or the genes coding for the succinate dehydrogenase subunits SDHA, SDHB, SDHC, and SDHD. GISTs are first and the most studied model for development of principles and methods of personalized targeted therapy of solid tumors with tyrosine kinase inhibitors.

  14. Accurate molecular classification of cancer using simple rules

    OpenAIRE

    Gotoh Osamu; Wang Xiaosheng

    2009-01-01

    Abstract Background One intractable problem with using microarray data analysis for cancer classification is how to reduce the extremely high-dimensionality gene feature data to remove the effects of noise. Feature selection is often used to address this problem by selecting informative genes from among thousands or tens of thousands of genes. However, most of the existing methods of microarray-based cancer classification utilize too many genes to achieve accurate classification, which often ...

  15. Molecular markers for detection, surveillance and prognostication of bladder cancer.

    NARCIS (Netherlands)

    Vrooman, O.P.; Witjes, J.A.

    2009-01-01

    Many markers for the detection of bladder cancers have been tested and almost all urinary markers reported are better than cytology with regard to sensitivity, but they score lower in specificity. Currently molecular and genetic changes play an important role in the discovery of new molecular marker

  16. New generation of breast cancer clinical trials implementing molecular profiling

    Institute of Scientific and Technical Information of China (English)

    Dimitrios Zardavas; Martine Piccart-Gebhart

    2016-01-01

    The implementation of molecular profiling technologies in oncology deepens our knowledge for the molecular landscapes of cancer diagnoses, identifying aberrations that could be linked with specific therapeutic vulnerabilities. In particular, there is an increasing list of molecularly targeted anticancer agents undergoing clinical development that aim to block specific molecular aberrations. This leads to a paradigm shift, with an increasing list of specific aberrations dictating the treatment of patients with cancer. This paradigm shift impacts the field of clinical trials, since the classical approach of having clinico-pathological disease characteristics dictating the patients' enrolment in oncology trials shifts towards the implementation of molecular profiling as pre-screening step. In order to facilitate the successful clinical development of these new anticancer drugs within specific molecular niches of cancer diagnoses, there have been developed new, innovative trial designs that could be classified as follows: i) longitudinal cohort studies that implement (or not) "nested" downstream trials, 2) studies that assess the clinical utility of molecular profiling, 3) "master" protocol trials, iv) "basket" trials, v) trials following an adaptive design. In the present article, we review these innovative study designs, providing representative examples from each category and we discuss the challenges that still need to be addressed in this era of new generation oncology trials implementing molecular profiling. Emphasis is put on the field of breast cancer clinical trials.

  17. Epidemiological-molecular evidence of metabolic reprogramming on proliferation, autophagy and cell signaling in pancreas cancer.

    Science.gov (United States)

    Søreide, Kjetil; Sund, Malin

    2015-01-28

    Pancreatic cancer remains one of the deadliest human cancers with little progress made in survival over the past decades, and 5-year survival usually below 5%. Despite this dismal scenario, progresses have been made in understanding of the underlying tumor biology through among other definition of precursor lesions, delineation of molecular pathways, and advances in genome-wide technology. Further, exploring the relationship between epidemiological risk factors involving metabolic features to that of an altered cancer metabolism may provide the foundation for new therapies. Here we explore how nutrients and caloric intake may influence the KRAS-driven ductal carcinogenesis through mediators of metabolic stress, including autophagy in presence of TP53, advanced glycation end products (AGE) and the receptors (RAGE) and ligands (HMGB1), as well as glutamine pathways, among others. Effective understanding the cancer metabolism mechanisms in pancreatic cancer may propose new ways of prevention and treatment. PMID:24704294

  18. Familial Renal Cancer: Molecular Genetics and Surgical Management

    OpenAIRE

    Barrisford, Glen W.; Singer, Eric A; Rosner, Inger L.; Marston Linehan, W.; Gennady Bratslavsky

    2011-01-01

    Familial renal cancer (FRC) is a heterogeneous disorder comprised of a variety of subtypes. Each subtype is known to have unique histologic features, genetic alterations, and response to therapy. Through the study of families affected by hereditary forms of kidney cancer, insights into the genetic basis of this disease have been identified. This has resulted in the elucidation of a number of kidney cancer gene pathways. Study of these pathways has led to the development of novel targeted mole...

  19. Neuroblastoma: morphological pattern, molecular genetic features, and prognostic factors

    Directory of Open Access Journals (Sweden)

    A. M. Stroganova

    2016-01-01

    Full Text Available Neuroblastoma, the most common extracranial tumor of childhood, arises from the developing neurons of the sympathetic nervous system (neural cress stem cells and has various biological and clinical characteristics. The mean age at disease onset is 18 months. Neuroblastoma has a number of unique characteristics: a capacity for spontaneous regression in babies younger than 12 months even in the presence of distant metastases, for differentiation (maturation into ganglioneuroma in infants after the first year of life, and for swift aggressive development and rapid metastasis. There are 2 clinical classifications of neuroblastoma: the International neuroblastoma staging system that is based on surgical results and the International Neuroblastoma Risk Group Staging System. One of the fundamentally important problems for the clinical picture of neuroblastoma is difficulties making its prognosis. Along with clinical parameters (a patient’s age, tumor extent and site, some histological, molecular biochemical (ploidy and genetic (chromosomal aberrations, MYCN gene status, deletion of the locus 1p36 and 11q, the longer arm of chromosome 17, etc. characteristics of tumor cells are of considerable promise. MYCN gene amplification is observed in 20–30 % of primary neuroblastomas and it is one of the major indicators of disease aggressiveness, early chemotherapy resistance, and a poor prognosis. There are 2 types of MYCN gene amplification: extrachromosomal (double acentric chromosomes and intrachromosomal (homogenically painted regions. Examination of double acentric chromosomes revealed an interesting fact that it may be eliminated (removed from the nucleus through the formation of micronuclei. MYCN oncogene amplification is accompanied frequently by 1p36 locus deletion and longer 17q arm and less frequently by 11q23 deletion; these are poor prognostic factors for the disease. The paper considers in detail the specific, unique characteristics of the

  20. Targeted Gold Nanoparticles enable Molecular CT Imaging of Cancer

    OpenAIRE

    Popovtzer, Rachela; Agrawal, Ashish; Kotov, Nicholas A.; Popovtzer, Aron; Balter, James; Carey, Thomas E.; Kopelman, Raoul

    2008-01-01

    X-ray based computed tomography (CT), is among the most convenient imaging/diagnostic tools in hospitals today in terms of availability, efficiency and cost. However, in contrast to magnetic resonance imaging (MRI) and various nuclear medicine imaging modalities, CT is not considered a molecular imaging modality since targeted and molecularly specific contrast agents have not yet been developed. Here we describe a targeted molecular imaging platform that enables, for the first time, cancer de...

  1. Molecular Concordance Between Primary Breast Cancer and Matched Metastases

    DEFF Research Database (Denmark)

    Krøigård, Anne Bruun; Larsen, Martin Jakob; Thomassen, Mads;

    2016-01-01

    receptors, transcriptomics, and genome aberrations in primary tumors and metastases. In conclusion, biopsy of metastatic lesions at recurrence of breast cancer is encouraged to provide optimal treatment of the disease. Furthermore, molecular profiling of metastatic tissue provides invaluable mechanistic......Clinical management of breast cancer is increasingly personalized and based on molecular profiling. Often, primary tumors are used as proxies for systemic disease at the time of recurrence. However, recent studies have revealed substantial discordances between primary tumors and metastases, both....... The purpose of this review is to illuminate the extent of cancer genome evolution through disease progression and the degree of molecular concordance between primary breast cancers and matched metastases. We present an overview of the most prominent studies investigating the expression of endocrine...

  2. Molecular epidemiology and the genetics of environmental cancer

    Energy Technology Data Exchange (ETDEWEB)

    Shields, P.G.; Harris, C.C. (Laboratory of Human Carcinogenesis, National Cancer Institute, National Institutes of Health, Bethesda, MD (USA))

    1991-08-07

    Environmental, occupational, and recreational exposures to carcinogens contribute to cancer risk in humans. Cancer formation is a multistage process involving tumor initiation, promotion, conversion, and progression. Carcinogens can affect any of these stages through genetic and epigenetic mechanisms. The association of a suspected carcinogenic exposure and cancer risk can be studied in populations with classic epidemiologic techniques. However, these techniques are not applicable to the assessment of risk in individuals. Molecular epidemiology, in contrast, is a field that integrates molecular biology, in vitro and in vivo laboratory models, biochemistry, and epidemiology to infer individual cancer risk. Carcinogen-macromolecular adduct levels, and somatic cell mutations can be measured to determine the biologically effective dose of a carcinogen. Molecular epidemiology also explores host cancer susceptibilities, such as carcinogen metabolic activation, DNA repair, endogenous mutation rates, and inheritance of mutated tumor suppressor genes. Substantial interindividual variation for each of these biologic end points has been shown and, therefore, highlights the need for assessing cancer risk on an individual basis. Given the pace of the last decade, it is feasible that the next 10 years will allow molecular epidemiologists to develop a cancer-risk profile for an individual that includes assessment of a number of factors. This will help focus preventive strategies and strengthen quantitative risk assessments. 96 refs.

  3. Novel approaches for the molecular classification of prostate cancer

    Institute of Scientific and Technical Information of China (English)

    Robert H. Getzenberg

    2010-01-01

    @@ Among the urologic cancers, prostate cancer is by far the most common, and it appears to have the potential to affect almost all men throughout the world as they age. A number of studies have shown that many men with prostate cancer will not die from their disease, but rather with the disease but from other causes. These men have a form of prostate cancer that is de-scribed as "very low risk" and has often been called indolent. There are however a group of men that have a form of prostate cancer that is much more aggressive and life threatening. Unlike other cancer types, we have few tools to provide for the molecular classification of prostate cancer.

  4. Molecular imaging in the framework of personalized cancer medicine.

    Science.gov (United States)

    Belkić, Dzevad; Belkić, Karen

    2013-11-01

    With our increased understanding of cancer cell biology, molecular imaging offers a strategic bridge to oncology. This complements anatomic imaging, particularly magnetic resonance (MR) imaging, which is sensitive but not specific. Among the potential harms of false positive findings is lowered adherence to recommended surveillance post-therapy and by persons at increased cancer risk. Positron emission tomography (PET) plus computerized tomography (CT) is the molecular imaging modality most widely used in oncology. In up to 40% of cases, PET-CT leads to changes in therapeutic management. Newer PET tracers can detect tumor hypoxia, bone metastases in androgen-sensitive prostate cancer, and human epidermal growth factor receptor type 2 (HER2)-expressive tumors. Magnetic resonance spectroscopy provides insight into several metabolites at the same time. Combined with MRI, this yields magnetic resonance spectroscopic imaging (MRSI), which does not entail ionizing radiation and is thus suitable for repeated monitoring. Using advanced signal processing, quantitative information can be gleaned about molecular markers of brain, breast, prostate and other cancers. Radiation oncology has benefited from molecular imaging via PET-CT and MRSI. Advanced mathematical approaches can improve dose planning in stereotactic radiosurgery, stereotactic body radiotherapy and high dose-rate brachytherapy. Molecular imaging will likely impact profoundly on clinical decision making in oncology. Molecular imaging via MR could facilitate early detection especially in persons at high risk for specific cancers. PMID:24511645

  5. Molecular mechanisms of radioresistance: applications for head and neck cancer

    International Nuclear Information System (INIS)

    A significant part of head and neck cancers is clinically radioresistant. The mechanisms of acquired or intrinsic radioresistance of head and neck tumors are still unclear. More recently molecular research focused on alterations in cell cycle control and resistance to programmed cell death in tumor cells as possible mechanisms of radioresistance. Some molecular targets of radiosensitivity or radioresistance (e.g. specific oncogenes or tumor suppressor genes) are known in specific tumor cells or tumor model systems. Such key targets for head and neck cancer cells are also emerging in in vitro studies. However, it is unclear so far if the modification of such molecular targets in vivo leads to an increased tumor selective radiosensitivity. Nevertheless, selected molecular targets could be potential novel tools for modifying radiosensitivity through gene therapy in patients with radioresistant head and neck cancers. (orig.)

  6. Clinical, epidemiologic, histopathologic and molecular features of an unexplained dermopathy.

    Directory of Open Access Journals (Sweden)

    Michele L Pearson

    Full Text Available BACKGROUND: Morgellons is a poorly characterized constellation of symptoms, with the primary manifestations involving the skin. We conducted an investigation of this unexplained dermopathy to characterize the clinical and epidemiologic features and explore potential etiologies. METHODS: A descriptive study was conducted among persons at least 13 years of age and enrolled in Kaiser Permanente Northern California (KPNC during 2006-2008. A case was defined as the self-reported emergence of fibers or materials from the skin accompanied by skin lesions and/or disturbing skin sensations. We collected detailed epidemiologic data, performed clinical evaluations and geospatial analyses and analyzed materials collected from participants' skin. RESULTS: We identified 115 case-patients. The prevalence was 3.65 (95% CI = 2.98, 4.40 cases per 100,000 enrollees. There was no clustering of cases within the 13-county KPNC catchment area (p = .113. Case-patients had a median age of 52 years (range: 17-93 and were primarily female (77% and Caucasian (77%. Multi-system complaints were common; 70% reported chronic fatigue and 54% rated their overall health as fair or poor with mean Physical Component Scores and Mental Component Scores of 36.63 (SD = 12.9 and 35.45 (SD = 12.89, respectively. Cognitive deficits were detected in 59% of case-patients and 63% had evidence of clinically significant somatic complaints; 50% had drugs detected in hair samples and 78% reported exposure to solvents. Solar elastosis was the most common histopathologic abnormality (51% of biopsies; skin lesions were most consistent with arthropod bites or chronic excoriations. No parasites or mycobacteria were detected. Most materials collected from participants' skin were composed of cellulose, likely of cotton origin. CONCLUSIONS: This unexplained dermopathy was rare among this population of Northern California residents, but associated with significantly reduced health

  7. Structural Features and Molecular Evolution of Bowman-Birk Protease Inhibitors and Their Potential Application

    Institute of Scientific and Technical Information of China (English)

    Rui-Feng QI; Zhan-Wu SONG; Cheng-Wu CHI

    2005-01-01

    The Bowman-Birk inhibitors (BBIs) are well-studied serine protease inhibitors that are abundant in dicotyledonous and monocotyledonous plants. BBIs from dicots usually have a molecular weight of 8k and are double-headed with two reactive sites, whereas those from monocots can be divided into two classes, one approximately 8 kDa in size with one reactive site (another reactive site was lost) and the other approximately 16 kDa in size with two reactive sites. The reactive site is located at unique exposed surfaces formed by a disulfide-linked β-sheet loop that is highly conserved, rigid and mostly composed of nine residues. The structural features and molecular evolution of inhibitors are described, focusing on the conserved disulfide bridges. The sunflower trypsin inhibitor-1 (SFTI-1), with 14 amino acid residues, is a recently discovered bicyclic inhibitor, and is the most small and potent naturally occurring Bowman-Birk inhibitor.Recently, BBIs have become a hot topic because of their potential applications. BBIs are now used for defense against pathogens and insects in transgenic plants, which has advantages over using toxic and polluting insecticides. BBIs could also be applied in the prevention of cancer, Dengue fever, and inflammatory and allergic disorders, because of their inhibitory activity with respect to the serine proteases that play a pivotal role in the development and pathogenesis of these diseases. The canonical nine-residue loop of BBIs/STFI-1 provides an ideal template for drug design of specific inhibitors to target their respective proteases.

  8. How do patient and hospital features influence outcomes in small-cell lung cancer in England?

    OpenAIRE

    Rich, A L; Tata, L J; Free, C M; Stanley, R. A.; Peake, M D; Baldwin, D. R.; Hubbard , R B

    2011-01-01

    Background: Our aim was to systematically determine how features of patients and hospitals influence access to chemotherapy and survival for people with small-cell lung cancer in England. Methods: We linked the National Lung Cancer Audit and Hospital Episode Statistics and used multiple logistic and Cox regression analyses to assess the influence of patient and hospital features on small-cell lung cancer outcomes. Results: There were 7845 patients with histologically proven small-cell lung ca...

  9. Distinct Clinic-Pathological Features of Early Differentiated-Type Gastric Cancers after Helicobacter pylori Eradication

    OpenAIRE

    Noriyuki Horiguchi; Tomomitsu Tahara; Tomohiko Kawamura; Masaaki Okubo; Takamitsu Ishizuka; Yoshihito Nakagawa; Mitsuo Nagasaka; Tomoyuki Shibata; Naoki Ohmiya

    2016-01-01

    Background. Gastric cancer is discovered even after successful eradication of H. pylori. We investigated clinic pathological features of early gastric cancers after H. pylori eradication. Methods. 51 early gastric cancers (EGCs) from 44 patients diagnosed after successful H. pylori eradication were included as eradication group. The clinic-pathological features were compared with that of 131 EGCs from 120 patients who did not have a history of H. pylori eradication (control group). Results. C...

  10. Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models

    International Nuclear Information System (INIS)

    Prostate cancer is the most common form of cancer and the second leading cause of cancer death in North America. Auto-detection of prostate cancer can play a major role in early detection of prostate cancer, which has a significant impact on patient survival rates. While multi-parametric magnetic resonance imaging (MP-MRI) has shown promise in diagnosis of prostate cancer, the existing auto-detection algorithms do not take advantage of abundance of data available in MP-MRI to improve detection accuracy. The goal of this research was to design a radiomics-based auto-detection method for prostate cancer via utilizing MP-MRI data. In this work, we present new MP-MRI texture feature models for radiomics-driven detection of prostate cancer. In addition to commonly used non-invasive imaging sequences in conventional MP-MRI, namely T2-weighted MRI (T2w) and diffusion-weighted imaging (DWI), our proposed MP-MRI texture feature models incorporate computed high-b DWI (CHB-DWI) and a new diffusion imaging modality called correlated diffusion imaging (CDI). Moreover, the proposed texture feature models incorporate features from individual b-value images. A comprehensive set of texture features was calculated for both the conventional MP-MRI and new MP-MRI texture feature models. We performed feature selection analysis for each individual modality and then combined best features from each modality to construct the optimized texture feature models. The performance of the proposed MP-MRI texture feature models was evaluated via leave-one-patient-out cross-validation using a support vector machine (SVM) classifier trained on 40,975 cancerous and healthy tissue samples obtained from real clinical MP-MRI datasets. The proposed MP-MRI texture feature models outperformed the conventional model (i.e., T2w+DWI) with regard to cancer detection accuracy. Comprehensive texture feature models were developed for improved radiomics-driven detection of prostate cancer using MP-MRI. Using a

  11. Molecular profiling of breast cancer: portraits but not physiognomy

    International Nuclear Information System (INIS)

    Breast cancers differ in response to treatment and may have a divergent clinical course despite having a similar histopathological appearance. New technology using DNA microarrays provides a systematic method to identify key markers for prognosis and treatment response by profiling thousands of genes expressed in a single cancer. Microarray profiling of 38 invasive breast cancers now confirms striking molecular differences between ductal carcinoma specimens and suggests a new classification for oestrogen-receptor negative breast cancer. Future approaches will need to include methods for high-throughput clinical validation and the ability to analyze microscopic samples

  12. CT features in second cancers of the maxillary sinus

    International Nuclear Information System (INIS)

    Five patients with a second maxillary cancer (squamous cell carcinoma), which developed 6 to 17 years after initial treatment for the first cancer on the opposite side, were compared with 21 control cases with a primary cancer on the basis of computed tomography (CT) findings. Generally, the second cancer was found at an earlier stage. The specific CT findings of early sinus carcinoma were uneven soft tissue distribution in the antrum and tumor permeation with bone fragments remaining at the original tumor site. These findings may be helpful for distiguishing this cancer from benign chronic sinusitis and/or other malignant sinus disease. The pterygoid process, medial bony wall, and ethmoid sinus had a tendency to be spared in most of the 5 patients with second maxillary cancer compared to the 21 control cases. (orig.)

  13. Atrophy of the Tongue as the Presenting Feature of Metastatic Prostate Cancer

    OpenAIRE

    Abdullah, Zreik; Darrad, Maitrey; Pathak, Sanjeev

    2011-01-01

    Prostate cancer is the most frequently diagnosed solid organ cancer in men and is the second leading cause of cancer-related deaths in men in the United Kingdom. Commonly, it metastasizes to bones and lymph nodes, however, in advanced hormonerefractory disease it may involve the skull base leading to associated cranial nerve palsies. Cranial nerve palsy as the presenting feature of advanced hormone-sensitive prostate cancer is extremely rare. To the best of our knowledge, we report the first ...

  14. Clinical, pathological and molecular prognostic factors in prostate cancer decision-making process.

    Science.gov (United States)

    Pugliese, Dario; Palermo, Giuseppe; Totaro, Angelo; Bassi, Pier Francesco; Pinto, Francesco

    2016-03-01

    Prostate cancer is the most common urologic neoplasm and the second leading cause of cancer-related death among men in many developed countries. Given the highly heterogeneous behaviour of the disease, there is a great need for prognostic factors, in order to stratify the clinical risk and give the best treatment options to the patient. Clinical factors, such as prostate-specific antigen value and derivatives, and pathological factors, such as stage and Gleason grading, are well kown prognostic factors. Nomograms can provide useful prediction in each clinical sceario. The field of molecular biomarkers is briskly evolving towards personalized medicine. TMPRSS2-ERG fusion, deletion of PTEN ed and gene panels are some of the more extensively explored molecular features in prostate cancer outcome prediction. In the near future, circulating tumour cells, exosomes and microRNAs could give us further, not invasive important tools. PMID:26917215

  15. Molecular sampling of prostate cancer: a dilemma for predicting disease progression

    Directory of Open Access Journals (Sweden)

    Mucci Lorelei A

    2010-03-01

    Full Text Available Abstract Background Current prostate cancer prognostic models are based on pre-treatment prostate specific antigen (PSA levels, biopsy Gleason score, and clinical staging but in practice are inadequate to accurately predict disease progression. Hence, we sought to develop a molecular panel for prostate cancer progression by reasoning that molecular profiles might further improve current clinical models. Methods We analyzed a Swedish Watchful Waiting cohort with up to 30 years of clinical follow up using a novel method for gene expression profiling. This cDNA-mediated annealing, selection, ligation, and extension (DASL method enabled the use of formalin-fixed paraffin-embedded transurethral resection of prostate (TURP samples taken at the time of the initial diagnosis. We determined the expression profiles of 6100 genes for 281 men divided in two extreme groups: men who died of prostate cancer and men who survived more than 10 years without metastases (lethals and indolents, respectively. Several statistical and machine learning models using clinical and molecular features were evaluated for their ability to distinguish lethal from indolent cases. Results Surprisingly, none of the predictive models using molecular profiles significantly improved over models using clinical variables only. Additional computational analysis confirmed that molecular heterogeneity within both the lethal and indolent classes is widespread in prostate cancer as compared to other types of tumors. Conclusions The determination of the molecularly dominant tumor nodule may be limited by sampling at time of initial diagnosis, may not be present at time of initial diagnosis, or may occur as the disease progresses making the development of molecular biomarkers for prostate cancer progression challenging.

  16. Molecular genetics of breast cancer progression

    OpenAIRE

    Sigurður Ingvarsson 1956

    1999-01-01

    Somatic changes in the genome of breast cancer cells include amplifications, deletions and gene mutations. Several chromosome regions harboring known oncogenes are found amplified in breast tumors. Despite the high number of chromosome regions deleted in breast tumors the functional relationship to known genes at these locations and cancer growth is mainly undiscovered. Mutations in two tumor suppressor genes (TSG) have been described in a subset of breast carcinomas. These TSG are the TP53, ...

  17. Automated Analysis and Classification of Histological Tissue Features by Multi-Dimensional Microscopic Molecular Profiling.

    Directory of Open Access Journals (Sweden)

    Daniel P Riordan

    Full Text Available Characterization of the molecular attributes and spatial arrangements of cells and features within complex human tissues provides a critical basis for understanding processes involved in development and disease. Moreover, the ability to automate steps in the analysis and interpretation of histological images that currently require manual inspection by pathologists could revolutionize medical diagnostics. Toward this end, we developed a new imaging approach called multidimensional microscopic molecular profiling (MMMP that can measure several independent molecular properties in situ at subcellular resolution for the same tissue specimen. MMMP involves repeated cycles of antibody or histochemical staining, imaging, and signal removal, which ultimately can generate information analogous to a multidimensional flow cytometry analysis on intact tissue sections. We performed a MMMP analysis on a tissue microarray containing a diverse set of 102 human tissues using a panel of 15 informative antibody and 5 histochemical stains plus DAPI. Large-scale unsupervised analysis of MMMP data, and visualization of the resulting classifications, identified molecular profiles that were associated with functional tissue features. We then directly annotated H&E images from this MMMP series such that canonical histological features of interest (e.g. blood vessels, epithelium, red blood cells were individually labeled. By integrating image annotation data, we identified molecular signatures that were associated with specific histological annotations and we developed statistical models for automatically classifying these features. The classification accuracy for automated histology labeling was objectively evaluated using a cross-validation strategy, and significant accuracy (with a median per-pixel rate of 77% per feature from 15 annotated samples for de novo feature prediction was obtained. These results suggest that high-dimensional profiling may advance the

  18. Pathological Bases for a Robust Application of Cancer Molecular Classification

    Directory of Open Access Journals (Sweden)

    Salvador J. Diaz-Cano

    2015-04-01

    Full Text Available Any robust classification system depends on its purpose and must refer to accepted standards, its strength relying on predictive values and a careful consideration of known factors that can affect its reliability. In this context, a molecular classification of human cancer must refer to the current gold standard (histological classification and try to improve it with key prognosticators for metastatic potential, staging and grading. Although organ-specific examples have been published based on proteomics, transcriptomics and genomics evaluations, the most popular approach uses gene expression analysis as a direct correlate of cellular differentiation, which represents the key feature of the histological classification. RNA is a labile molecule that varies significantly according with the preservation protocol, its transcription reflect the adaptation of the tumor cells to the microenvironment, it can be passed through mechanisms of intercellular transference of genetic information (exosomes, and it is exposed to epigenetic modifications. More robust classifications should be based on stable molecules, at the genetic level represented by DNA to improve reliability, and its analysis must deal with the concept of intratumoral heterogeneity, which is at the origin of tumor progression and is the byproduct of the selection process during the clonal expansion and progression of neoplasms. The simultaneous analysis of multiple DNA targets and next generation sequencing offer the best practical approach for an analytical genomic classification of tumors.

  19. Review on Feature Selection Techniques and the Impact of SVM for Cancer Classification using Gene Expression Profile

    CERN Document Server

    George, G Victo Sudha; 10.5121/ijcses.2011.2302

    2011-01-01

    The DNA microarray technology has modernized the approach of biology research in such a way that scientists can now measure the expression levels of thousands of genes simultaneously in a single experiment. Gene expression profiles, which represent the state of a cell at a molecular level, have great potential as a medical diagnosis tool. But compared to the number of genes involved, available training data sets generally have a fairly small sample size for classification. These training data limitations constitute a challenge to certain classification methodologies. Feature selection techniques can be used to extract the marker genes which influence the classification accuracy effectively by eliminating the un wanted noisy and redundant genes This paper presents a review of feature selection techniques that have been employed in micro array data based cancer classification and also the predominant role of SVM for cancer classification.

  20. REVIEW ON FEATURE SELECTION TECHNIQUES AND THE IMPACT OF SVM FOR CANCER CLASSIFICATION USING GENE EXPRESSION PROFILE

    Directory of Open Access Journals (Sweden)

    G.Victo Sudha George

    2011-09-01

    Full Text Available The DNA microarray technology has modernized the approach of biology research in such a way thatscientists can now measure the expression levels of thousands of genes simultaneously in a singleexperiment. Gene expression profiles, which represent the state of a cell at a molecular level, have greatpotential as a medical diagnosis tool. But compared to the number of genes involved, available trainingdata sets generally have a fairly small sample size for classification. These training data limitationsconstitute a challenge to certain classification methodologies. Feature selection techniques can be usedto extract the marker genes which influence the classification accuracy effectively by eliminating the unwanted noisy and redundant genes This paper presents a review of feature selection techniques that havebeen employed in micro array data based cancer classification and also the predominant role of SVMfor cancer classification.

  1. Pomegranate Extracts and Cancer Prevention: Molecular and Cellular Activities

    OpenAIRE

    Syed, Deeba N.; Chamcheu, Jean-Christopher; Adhami, Vaqar M.; Mukhtar, Hasan

    2013-01-01

    There is increased appreciation by the scientific community that dietary phytochemicals can be potential weapons in the fight against cancer. Emerging data has provided new insights into the molecular and cellular framework needed to establish novel mechanism-based strategies for cancer prevention by selective bioactive food components. The unique chemical composition of the pomegranate fruit, rich in antioxidant tannins and flavonoids has drawn the attention of many investigators. Polyphenol...

  2. Molecular epidemiology, prenatal exposure and prevention of cancer

    OpenAIRE

    2011-01-01

    Molecular Epidemiology was originally conceived as a preventive approach, providing a valuable tool for investigating risk factors for cancer in vulnerable populations. Biomarkers can be used as early indicators of risk for preventative purposes and risk assessment. The present contribution mainly refers to in utero exposures to carcinogens, since humans are especially vulnerable during fetal development. Environmental exposures in utero can increase risks for both childhood and adult cancers...

  3. Anaplastic thyroid cancer: molecular pathogenesis and emerging therapies

    OpenAIRE

    Smallridge, Robert C.; Marlow, Laura A.; Copland, John A.

    2008-01-01

    Anaplastic thyroid cancer (ATC) is a rare malignancy. While external beam radiation therapy has improved locoregional control, the median survival of ∼ 4 months has not changed in more than half a century due to uncontrolled systemic metastases. The objective of this study was to review the literature in order to identify potential new strategies for treating this highly lethal cancer. PubMed searches were the principal source of articles reviewed. The molecular pathogenesis of ATC includes m...

  4. Choline metabolism-based molecular diagnosis of cancer: an update

    OpenAIRE

    Glunde, Kristine; Penet, Marie-France; Jiang, Lu; Jacobs, Michael A.; Zaver M Bhujwalla

    2015-01-01

    Abnormal choline metabolism continues to be identified in multiple cancers. Molecular causes of abnormal choline metabolism are changes in choline kinase-α, ethanolamine kinase-α, phosphatidylcholine-specific phospholipase C and -D and glycerophosphocholine phosphodiesterases, as well as several choline transporters. The net outcome of these enzymatic changes is an increase in phosphocholine and total choline (tCho) and, in some cancers, a relative decrease of glycerophosphocholine. The incre...

  5. Molecular mechanisms of TRAIL-induced apoptosis of cancer cells

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    @@Tumor Necrosis Factor-related Apoptosis-inducing Ligand (TRAIL) is a recently identified member of the tumor necrosis factor (TNF) family[1]. Numerous studies indicate that TRAIL can induce apoptosis of cancer cells but not of normal cells, pointing to the possibility of de-veloping TRAIL into a cancer drug[2-4]. This review will summary the molecular mechanisms of TRAIL-induced apoptosis and discuss the questions to be resolved in this field.

  6. Integrated molecular portrait of non-small cell lung cancers

    OpenAIRE

    Lazar, Vladimir; Suo, Chen; Orear, Cedric; van den Oord, Joost; Balogh, Zsofia; Guegan, Justine; Job, Bastien; Meurice, Guillaume; Ripoche, Hugues; Calza, Stefano; Hasmats, Johanna; Lundeberg, Joakim; Lacroix, Ludovic; Vielh, Philippe; Dufour, Fabienne

    2013-01-01

    Background Non-small cell lung cancer (NSCLC), a leading cause of cancer deaths, represents a heterogeneous group of neoplasms, mostly comprising squamous cell carcinoma (SCC), adenocarcinoma (AC) and large-cell carcinoma (LCC). The objectives of this study were to utilize integrated genomic data including copy-number alteration, mRNA, microRNA expression and candidate-gene full sequencing data to characterize the molecular distinctions between AC and SCC. Methods Comparative genomic hybridiz...

  7. Cowden Syndrome Presenting as Breast Cancer: Imaging and Clinical Features

    Energy Technology Data Exchange (ETDEWEB)

    Seo, Mirinae [Dept. of Radiology, Graduate School of Medicine, Kyung Hee University, Seoul (Korea, Republic of); Cho, Nariya; Moon, Hyeong Gon [Seoul National University Hospital, Seoul National University College of Medicine, Seoul (Korea, Republic of); Ahn, Hye Shin [Dept. of Radiology, Chung-Ang University Hospital, Seoul (Korea, Republic of)

    2014-10-15

    Cowden syndrome is an uncommon, autosomal dominant disease which is characterized by multiple hamartomas of the skin, mucous membrane, brain, breast, thyroid, and gastrointestinal tract. The diagnosis of Cowden syndrome implicates an increased risk of developing breast cancer. We report a case of a 22-year-old woman with Cowden syndrome that presented as breast cancer with concomitant bilateral exuberant benign masses in both breasts.

  8. Senescent cells harbour features of the cancer epigenome

    OpenAIRE

    Cruickshanks, Hazel A; McBryan, Tony; Nelson, David M.; VanderKraats, Nathan D.; Shah, Parisha P.; van Tuyn, John; Rai, Taranjit Singh; Brock, Claire; Donahue, Greg; Dunican, Donncha S; Drotar, Mark E.; Meehan, Richard R.; Edwards, John R.; Berger, Shelley L.; Adams, Peter D.

    2013-01-01

    Altered DNA methylation and associated destabilization of genome integrity and function is a hallmark of cancer. Replicative senescence is a tumour suppressor process that imposes a limit on the proliferative potential of normal cells that all cancer cells must bypass. Here we show by whole-genome single-nucleotide bisulfite sequencing that replicative senescent human cells exhibit widespread DNA hypomethylation and focal hypermethylation. Hypomethylation occurs preferentially at gene-poor, l...

  9. Human prostate cancer stem cells: new features unveiled

    Institute of Scientific and Technical Information of China (English)

    Yuting Sun; Wei-Qiang Gao

    2011-01-01

    @@ Cancer stem cells (CSCs) are a rare sub-population of phenotypically distinct cancer cells exhibiting stem cell characteristics.They are tumourigenic, meanwhile capable of self-renewal and forming differentiated progenies.CSCs are believed to be resistant to the standard therapeutics, and provide the cell reservoir for tumour initiation.1 Understanding CSCs or in another word, tumour-initiating cells, is of critical therapeutic importance.

  10. Colorectal cancer complicated by perforation. Specific features of surgical tactics

    Directory of Open Access Journals (Sweden)

    S. N. Shchaeva

    2015-01-01

    Full Text Available Objective: to assess the immediate results of surgical interventions for colorectal cancer complicated by perforation.Materials and methods. The immediate results of surgical treatment were retrospectively analyzed in 56 patients with colorectal cancer complicated by perforated colon cancer, who had been treated at Smolensk surgical hospitals in 2001 to 2013. Patients with diastatic perforation of the colon in the presence of decompensated obturation intestinal obstruction of tumor genesis were not included into this investigation.Results. The immediate results of uni- and multistage surgical interventions were analyzed in relation to the extent of peritonitis and the stage of colon cancer. More satisfactory immediate results were observed after multistage surgical treatment. Following these interventions, a fatal outcome of disseminated peritonitis in the presence of performed colorectal cancer was recorded in 8 (53.3 % cases whereas after symptomatic surgery there were 11 (67.8 % deaths. A fatal outcome was noted in 1 case (7.7 % after multistage surgery.Discussion. The results of surgical treatment in the patients with perforated colorectal cancer are directly related to the degree of peritonitis and the choice of surgical tactics.

  11. Molecular Concordance Between Primary Breast Cancer and Matched Metastases.

    Science.gov (United States)

    Krøigård, Anne Bruun; Larsen, Martin Jakob; Thomassen, Mads; Kruse, Torben A

    2016-07-01

    Clinical management of breast cancer is increasingly personalized and based on molecular profiling. Often, primary tumors are used as proxies for systemic disease at the time of recurrence. However, recent studies have revealed substantial discordances between primary tumors and metastases, both with respect to traditional clinical treatment targets and on the genomic and transcriptomic level. With the increasing use of molecularly targeted therapy, discordance of actionable molecular targets between primary tumors and recurrences can result in nonoptimal treatment or unnecessary side effects. The purpose of this review is to illuminate the extent of cancer genome evolution through disease progression and the degree of molecular concordance between primary breast cancers and matched metastases. We present an overview of the most prominent studies investigating the expression of endocrine receptors, transcriptomics, and genome aberrations in primary tumors and metastases. In conclusion, biopsy of metastatic lesions at recurrence of breast cancer is encouraged to provide optimal treatment of the disease. Furthermore, molecular profiling of metastatic tissue provides invaluable mechanistic insight into the biology underlying metastatic progression and has the potential to identify novel, potentially druggable, drivers of progression. PMID:27089067

  12. A review of molecular biomarkers for bladder cancer

    Directory of Open Access Journals (Sweden)

    Miakhil I

    2013-01-01

    Full Text Available Background: Numerous molecular markers for bladder cancer have been identified and investigated with various laboratory techniques. Molecular markers are isolated from tissue, serum and urine. They fall into proteomic, genetic and epigenetic categories. Some of molecular markers show promising results in terms of facilitating early diagnosis and guiding treatment. Molecular markers or the so- called biomarkers can provide additional information alongside staging, grading and lymphovascular invasion, for better prognostication.Aim:This studyprovides an up-to-date review of the frequently studied and most important biomarkers that have shown consistent relevance in relation to bladder cancer. Methods: The key words were searched on the PubMed, Google scholar and NHS library search engines. Results: More than twenty biomarkers as per our methodology were identified but only half of them have shown consistence relevance in bladder cancer. Conclusion: It is envisaged that a combination of a few biomarkers, which are investigated frequently and have shown clinical relevance, could possibly provide useful information in predicting recurrence and provide useful prognostic information. So far none of the biomarkers for bladder cancer are adopted in the UK standard practice. Despite that the Food and Drug Administration (FDA had approved some of these biomarkers, none of the urology associations incorporated them in to their guidelines as yet. However, it won’t be long before a final consensus is reached to integrate molecular staging in to the current TNM staging system.

  13. Correlation of morphological and molecular parameters for colon cancer

    Science.gov (United States)

    Yuan, Shuai; Roney, Celeste A.; Li, Qian; Jiang, James; Cable, Alex; Summers, Ronald M.; Chen, Yu

    2010-02-01

    Colorectal cancer (CRC) is the second leading cause of cancer death in the United States. There is great interest in studying the relationship among microstructures and molecular processes of colorectal cancer during its progression at early stages. In this study, we use our multi-modality optical system that could obtain co-registered optical coherence tomography (OCT) and fluorescence molecular imaging (FMI) images simultaneously to study CRC. The overexpressed carbohydrate α-L-fucose on the surfaces of polyps facilitates the bond of adenomatous polyps with UEA-1 and is used as biomarker. Tissue scattering coefficient derived from OCT axial scan is used as quantitative value of structural information. Both structural images from OCT and molecular images show spatial heterogeneity of tumors. Correlations between those values are analyzed and demonstrate that scattering coefficients are positively correlated with FMI signals in conjugated. In UEA-1 conjugated samples (8 polyps and 8 control regions), the correlation coefficient is ranged from 0.45 to 0.99. These findings indicate that the microstructure of polyps is changed gradually during cancer progression and the change is well correlated with certain molecular process. Our study demonstrated that multi-parametric imaging is able to simultaneously detect morphology and molecular information and it can enable spatially and temporally correlated studies of structure-function relationships during tumor progression.

  14. Nasopharyngeal carcinoma: Imaging features of unusual cancer in children

    Directory of Open Access Journals (Sweden)

    Ayda A. Youssef

    2015-12-01

    Conclusion: Pediatric NPC is generally not suspected clinically until late into the disease process. Awareness that NPC can occur in children should prompt careful evaluation for distinctive radiographic features. Earlier diagnosis may then direct the patient to timely appropriate therapy when these key radiographic features are present and recognized.

  15. Endometrial cancer : from a molecular genetic perspective

    NARCIS (Netherlands)

    E. Smid-Koopman (Ellen)

    2002-01-01

    textabstractThe first observations indicative of a role of genetic factors in carcinogenesis were made as early as 1912, when Rous demonstrated that a filterable agent (i.e. virus) could induce cancer in chicken (Rous 1965). In 1914, Boveri postulated a "genetic" theory on carcinogenesis by hypothes

  16. Accurate molecular classification of cancer using simple rules

    Directory of Open Access Journals (Sweden)

    Gotoh Osamu

    2009-10-01

    Full Text Available Abstract Background One intractable problem with using microarray data analysis for cancer classification is how to reduce the extremely high-dimensionality gene feature data to remove the effects of noise. Feature selection is often used to address this problem by selecting informative genes from among thousands or tens of thousands of genes. However, most of the existing methods of microarray-based cancer classification utilize too many genes to achieve accurate classification, which often hampers the interpretability of the models. For a better understanding of the classification results, it is desirable to develop simpler rule-based models with as few marker genes as possible. Methods We screened a small number of informative single genes and gene pairs on the basis of their depended degrees proposed in rough sets. Applying the decision rules induced by the selected genes or gene pairs, we constructed cancer classifiers. We tested the efficacy of the classifiers by leave-one-out cross-validation (LOOCV of training sets and classification of independent test sets. Results We applied our methods to five cancerous gene expression datasets: leukemia (acute lymphoblastic leukemia [ALL] vs. acute myeloid leukemia [AML], lung cancer, prostate cancer, breast cancer, and leukemia (ALL vs. mixed-lineage leukemia [MLL] vs. AML. Accurate classification outcomes were obtained by utilizing just one or two genes. Some genes that correlated closely with the pathogenesis of relevant cancers were identified. In terms of both classification performance and algorithm simplicity, our approach outperformed or at least matched existing methods. Conclusion In cancerous gene expression datasets, a small number of genes, even one or two if selected correctly, is capable of achieving an ideal cancer classification effect. This finding also means that very simple rules may perform well for cancerous class prediction.

  17. Procathepsin D and cancer: From molecular biology to clinical applications

    OpenAIRE

    Vetvicka, Vaclav; Vashishta, Aruna; Saraswat-Ohri, Sujata; Vetvickova, Jana

    2010-01-01

    Procathepsin D (pCD) is overexpressed and secreted by cells of various tumor types including breast and lung carcinomas. pCD affects multiple features of tumor cells including proliferation, invasion, metastases and apoptosis. Several laboratories have previously shown that the mitogenic effect of pCD on cancer cells is mediated via its propeptide part (APpCD). However, the exact mechanism of how pCD affects cancer cells has not been identified. Recent observations have also revealed the poss...

  18. Molecular markers as therapeutic targets in lung cancer

    Institute of Scientific and Technical Information of China (English)

    Hsin-Hui Tseng; Biao He

    2013-01-01

    Lung cancer is responsible for 29% of cancer deaths in the United States and has very low 5-year survival rates of approximately 11% in men and 15% in women.Although the early diagnosis of lung cancer may increase the survival rate with adequate treatment,advanced lung cancers are often metastasized and receive limited benefit from therapeutic regimens.As conventional treatments for lung cancer reach their limitations,researchers have attempted to discover novel drug therapies aimed at specific targets contributing to the progression of tumorigenesis.Recent advances in systems biology have enabled the molecular biology of lung carcinogenesis to be elucidated.Our understanding of the physiologic processes of tumor development provide a means to design more effective and specific drugs with less toxicity,thereby accelerating the delivery of new drug therapies to the patient's bedside.

  19. The epidemiology and molecular mechanisms linking obesity, diabetes, and cancer.

    Science.gov (United States)

    Ferguson, Rosalyn D; Gallagher, Emily J; Scheinman, Eyal J; Damouni, Rawan; LeRoith, Derek

    2013-01-01

    The worldwide epidemic of obesity is associated with increasing rates of the metabolic syndrome and type 2 diabetes. Epidemiological studies have reported that these conditions are linked to increased rates of cancer incidence and mortality. Obesity, particularly abdominal obesity, is associated with insulin resistance and the development of dyslipidemia, hyperglycemia, and ultimately type 2 diabetes. Although many metabolic abnormalities occur with obesity and type 2 diabetes, insulin resistance and hyperinsulinemia appear to be central to these conditions and may contribute to dyslipidemia and altered levels of circulating estrogens and androgens. In this review, we will discuss the epidemiological and molecular links between obesity, type 2 diabetes, and cancer, and how hyperinsulinemia and dyslipidemia may contribute to cancer development. We will discuss how these metabolic abnormalities may interact with estrogen signaling in breast cancer growth. Finally, we will discuss the effects of type 2 diabetes medications on cancer risk. PMID:23810003

  20. Molecular Targets of TRAIL-Sensitizing Agents in Colorectal Cancer

    Directory of Open Access Journals (Sweden)

    Giovanni Monteleone

    2012-06-01

    Full Text Available Tumor necrosis factor (TNF-related apoptosis inducing ligand (TRAIL, a member of the TNF superfamily, interacts with its functional death receptors (DRs and induces apoptosis in a wide range of cancer cell types. Therefore, TRAIL has been considered as an attractive agent for cancer therapy. However, many cancers are resistant to TRAIL-based therapies mainly due to the reduced expression of DRs and/or up-regulation of TRAIL pathway-related anti-apoptotic proteins. Compounds that revert such defects restore the sensitivity of cancer cells to TRAIL, suggesting that combined therapies could help manage neoplastic patients. In this article, we will focus on the TRAIL-sensitizing effects of natural products and synthetic compounds in colorectal cancer (CRC cells and discuss the molecular mechanisms by which such agents enhance the response of CRC cells to TRAIL.

  1. [Particular features of lymph dissection in operations for gastric cancer].

    Science.gov (United States)

    Iaitskiĭ, A N; Danilov, I N

    2008-01-01

    In order to optimize the technique of lymph dissection, a method of intraoperative mapping of lymph outflow tracts was used with a lymphotropic dye Blue patente V. It allowed better orientation during lymphodissection in operations for gastric cancer. The detection and investigation of the "signal" lymph node as the most probable object of lymphogenic metastazing can improve the accuracy of postoperative staging of gastric cancer. Visualization of the lymph nodes in the preparation made it possible to increase the number of lymph nodes sent for histological investigation. PMID:18522180

  2. Molecular buckets: cyclodextrins for oral cancer therapy

    OpenAIRE

    Calleja, P.; Huarte, J; Agüeros, M.; Ruiz-Gaton, L. (Luisa); Espuelas, S.; J.M. Irache

    2012-01-01

    The oral route is preferred by patients for drug administration due to its convenience, resulting in improved compliance. Unfortunately, for a number of drugs (e.g., anticancer drugs), this route of administration remains a challenge. Oral chemotherapy may be an attractive option and especially appropriate for chronic treatment of cancer. However, this route of administration is particularly complicated for the administration of anticancer drugs ascribed to Class IV of the Biopharmaceutical C...

  3. Immunophenotyping invasive breast cancer: paving the road for molecular imaging.

    NARCIS (Netherlands)

    Vermeulen, J.F.; Brussel, A.S. van; Groep, P. van der; Morsink, F.H.; Bult, P.; Wall, E. van der; Diest, P.J. van

    2012-01-01

    ABSTRACT: BACKGROUND: Mammographic population screening in The Netherlands has increased the number of breast cancer patients with small and non-palpable breast tumors. Nevertheless, mammography is not ultimately sensitive and specific for distinct subtypes. Molecular imaging with targeted tracers m

  4. Molecular imaging of cancer using PET and SPECT

    DEFF Research Database (Denmark)

    Kjaer, Andreas

    2006-01-01

    molecular imaging of cancer. Especially the possibility of a quick transfer of methods developed in animals to patients (translational research) is an important strength. This article will briefly discuss the newest applications and their importance and perspective in relation to the shift in paradigm in...... medicine towards more individualized treatment....

  5. Molecular Imaging of Breast Cancer: Present and future directions

    Directory of Open Access Journals (Sweden)

    David eAlcantara

    2014-12-01

    Full Text Available Medical imaging technologies have undergone explosive growth over the past few decades and now play a central role in clinical oncology. But the truly transformative power of imaging in the clinical management of cancer patients lies ahead. Today, imaging is at a crossroads, with molecularly targeted imaging agents expected to broadly expand the capabilities of conventional anatomical imaging methods. Molecular imaging will allow clinicians to not only see where a tumour is located in the body, but also to visualize the expression and activity of specific molecules (e.g. proteases and protein kinases and biological processes (e.g. apoptosis, angiogenesis, and metastasis that influence tumour behavior and/or response to therapy. Breast cancer, the most common cancer among women and a research area where our group is actively involved, is a very heterogeneous disease with diverse patterns of development and response to treatment. Hence, molecular imaging is expected to have a major impact on this type of cancer, leading to important improvements in diagnosis, individualized treatment, and drug development, as well as our understanding of how breast cancer arises.

  6. X-ray features of pulmonary metastases of thyroid cancer

    Energy Technology Data Exchange (ETDEWEB)

    Lutsenko, I.V. (Nauchno-Issledovatel' skij Onkologicheskij Inst., Moscow (USSR))

    Metastases of thyroid cancer to the chest cavity organs were detected in 19.4%. They were found most frequently in the pulmonary tissue (75.8%), in the mediastinal lymph nodes (57.9%), less frequently in the lymph nodes of the roots of the lungs (30.4%) and very rarely in the pleura (2.6%). X-ray signs of metastases are identical for all histological structures of thyroid cancer. The most typical are multiple lesions (91.8%). The nodular form is found in 74.5%, the nodal form in 17.2.%. Solitary metastases and cancerous lymphangitis are rarely noted (7.2 and 0.9% respectively. The regression of metastases, spontaneous pneumothorax and pneumonia are rarely observed as well (1.8, 0.9 and 1.8%) respectively). The doubling time of the size of metastatic tumors of thyroid cancer ranges from 52 to 379 days. The use of radioactive iodine and hormones inhibits their growth rates.

  7. X-ray features of pulmonary metastases of thyroid cancer

    International Nuclear Information System (INIS)

    Metastases of thyroid cancer to the chest cavity organs were detected in 19.4%. They were found most frequently in the pulmonary tissue (75.8%), in the mediastinal lymph nodes (57.9%), less frequently in the lymph nodes of the roots of the lungs (30.4%) and very rarely in the pleura (2.6%). X-ray signs of metastases are identical for all histological structures of thyroid cancer. The most typical are multiple lesions (91.8%). The nodular form is found in 74.5%, the nodal form in 17.2.%. Solitary metastases and cancerous lymphangitis are rarely noted (7.2 and 0.9% respectively. The regression of metastases, spontaneous pneumothorax and pneumonia are rarely observed as well (1.8, 0.9 and 1.8%) respectively). The doubling time of the size of metastatic tumors of thyroid cancer ranges from 52 to 379 days. The use of radioactive iodine and hormones inhibits their growth rates

  8. Management and performance features of cancer centers in Europe: A fuzzy-set analysis

    NARCIS (Netherlands)

    Wind, Anke; Lobo, Mariana Fernandes; Dijk, van Joris; Lepage-Nefkens, Isabelle; Laranja-Pontes, Jose; Conceicao Goncalves, da Vitor; Harten, van Wim; Rocha-Goncalves, Francisco Nuno

    2016-01-01

    The specific aim of this study is to identify the performance features of cancer centers in the European Union by using a fuzzy-set qualitative comparative analysis (fsQCA). The fsQCA method represents cases (cancer centers) as a combination of explanatory and outcome conditions. This study uses dat

  9. Inflammation, Autophagy, and Obesity: Common Features in the Pathogenesis of Pancreatitis and Pancreatic Cancer

    OpenAIRE

    Gukovsky, Ilya; Ning LI; Todoric, Jelena; Gukovskaya, Anna; Karin, Michael

    2013-01-01

    Inflammation and autophagy are cellular defense mechanisms. When these processes are deregulated (deficient or overactivated) they produce pathologic effects, such as oxidative stress, metabolic impairments, and cell death. Unresolved inflammation and disrupted regulation of autophagy are common features of pancreatitis and pancreatic cancer. Furthermore, obesity, a risk factor for pancreatitis and pancreatic cancer, promotes inflammation and inhibits or deregulates autophagy, creating an env...

  10. TCGA divides gastric cancer into four molecular subtypes:implications for individualized therapeutics

    Institute of Scientific and Technical Information of China (English)

    Wei Zhang

    2014-01-01

    Gastric cancer is a leading cause of cancer deaths in the world. The treatment of gastric cancer is chalenging because of its highly heterogeneous etiology and clinical characteristics. Recent genomic and molecular characterization of gastric cancer, especialy the findings reported by the Cancer Genome Atlas (TCGA), have shed light on the heterogeneity and potential targeted therapeutics for four different subtypes of gastric cancer.

  11. Strategies to Optimize Molecularly Targeted Anti-Cancer Agent Combinations

    Directory of Open Access Journals (Sweden)

    Ayse Erdogan

    2015-12-01

    Full Text Available Cytotoxic agents which are used in cancer chemotherapy reduced several times the number of neoplastic cells but not fully. Therefore, usage of and ldquo;targeted therapeutics" which were developed with much more rational approach is increasing markedly in patients with solid cancer. Targeted therapeutics due to selective targets aims cancer cells with specific molecular defect thereby, kils the cancer cells, which makes it possible to continue normal cells in a healthy environment. The rapid emergence of hundreds of new agents that modulates ever-growing list of the cancer-specific molecular targets promise great hope for cancer patients. Evaluation of the target agent individually, in combination with standard therapy and other target agents bring about important development challenges. As possible combinations of drugs number is unlimited, the identification of the most promising combinations and giving priority to assessing their strategies are very important.In this article important elements of the development strategy of the target agent combinations will be considered. Difficulties in this kind of combinations of rational pre-clinical and clinical evaluation and possible approaches to overcome these challenges will be discussed. [Archives Medical Review Journal 2015; 24(4.000: 432-451

  12. Evolving molecularly targeted therapies for advanced-stage thyroid cancers.

    Science.gov (United States)

    Bible, Keith C; Ryder, Mabel

    2016-07-01

    Increased understanding of disease-specific molecular targets of therapy has led to the regulatory approval of two drugs (vandetanib and cabozantinib) for the treatment of medullary thyroid cancer (MTC), and two agents (sorafenib and lenvatinib) for the treatment of radioactive- iodine refractory differentiated thyroid cancer (DTC) in both the USA and in the EU. The effects of these and other therapies on overall survival and quality of life among patients with thyroid cancer, however, remain to be more-clearly defined. When applied early in the disease course, intensive multimodality therapy seems to improve the survival outcomes of patients with anaplastic thyroid cancer (ATC), but salvage therapies for ATC are of uncertain benefit. Additional innovative, rationally designed therapeutic strategies are under active development both for patients with DTC and for patients with ATC, with multiple phase II and phase III randomized clinical trials currently ongoing. Continued effort is being made to identify further signalling pathways with potential therapeutic relevance in thyroid cancers, as well as to elaborate on the complex interactions between signalling pathways, with the intention of translating these discoveries into effective and personalized therapies. Herein, we summarize the progress made in molecular medicine for advanced-stage thyroid cancers of different histotypes, analyse how these developments have altered - and might further refine - patient care, and identify open questions for future research. PMID:26925962

  13. Modern classification of breast cancer: should we stick with morphology or convert to molecular profile characteristics.

    Science.gov (United States)

    Rakha, Emad A; Ellis, Ian O

    2011-07-01

    Breast cancer represents a heterogeneous group of tumors with varied morphologic and biological features, behavior, and response to therapy. The present routine clinical management of breast cancer relies on the availability of robust prognostic and predictive factors to support decision making. Breast cancer patients are stratified into risk groups based on a combination of classical time-dependent prognostic variables (staging) and biological prognostic and predictive variables. Staging variables include tumor size, lymph node stage, and extent of tumor spread. Classical biological variables include morphologic variables such as tumor grade and molecular markers such as hormone receptor and human epidermal growth factor receptor 2 status. Although individual molecular markers were introduced in the field of breast cancer management many years ago, the concept of molecular classification was raised after the introduction of global gene expression profiling and the identification of multigene classifiers. Although there is no doubt that gene expression profiling technology has revolutionized the field of breast cancer research and have been widely expected to improve breast cancer prognostication, the unprecedented speed of progress and publicity associated with the introduction of these commercially-based multigene classifiers should not lead us to expect this technology to replace the classical classification systems. These multigene classifiers have the potential to complement traditional methods through provision of additional biological prognostic and predictive information in presently indeterminate risk groups. Here we present updated information on the present clinical value of classical clinicopathologic factors, molecular taxonomy, and multigene classifiers in routine patients management and provide some critical views and practical expectations. PMID:21654357

  14. Application of Proteomics to Cancer Molecular Diagnostics

    Institute of Scientific and Technical Information of China (English)

    Sam HANASH

    2009-01-01

    @@ Strategies to achieve personalized medicine and improve public health encompass assessment of an individual's risk for disease, early detection and molecular classification of disease resulting in an informed choice of the most appropriate treatment instituted at an early stage of disease develop- ment. A major contribution of proteomics in this field is the development of blood based tests to achieve the goals of personalized medicine.

  15. Immunohistochemical molecular markers as predictors of curability of endoscopically resected submucosal colorectal cancer

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    AIM: To clarify the usefulness of immunohistochemical molecular markers in predicting lymph node metastasis of submucosal colorectal cancer.METHODS: We examined microvessel density, lymphatic vessel density, the Ki-67 labeling index, expression of MUC1 and Matrix metalloproteinase-7 (MMP-7) in tumor cells, and expression of cathepsin D in stromal cells at the invasive front by immunostaining of samples resected from 214 patients with submucosal colorectal cancer.Pathologic features were assessed on hematoxylin-eosinstained samples. We evaluated the relations between clinicopathologic/immunohistochemical features and lymph node metastasis.RESULTS: Lesions of the superficial type, with an unfavorable histologic grade, budding, lymphatic involvement, high microvessel density (≥ 40), high lymphatic vessel density (≥ 9), high Ki-67 labeling index (≥ 42), and positivity of MUC1, cathepsin D, and MMP-7 showed a significantly high incidence of lymph node metastasis. Multivariate analysis revealed that high microvessel density, unfavorable histologic grade,cathepsin D positivity, high lymphatic vessel density,superficial type, budding, and MUC1 positivity were independent risk factors for lymph node metastasis.A combined examination with four independent immunohistochemical markers (microvessel density,cathepsin D, lymphatic vessel density, and MUC1)revealed that all lesions that were negative for all markers or positive for only one marker were negative for lymph node metastasis.CONCLUSION: Analysis of a combination of immunohistochemical molecular markers in endoscopically resected specimens of submucosal colorectal cancer allows prediction of curability regardless of the pathologic features visible of hematoxylin-eosin-stained sections.

  16. Dynamics of Molecular Emission Features from Nanosecond, Femtosecond Laser and Filament Ablation Plasmas

    Energy Technology Data Exchange (ETDEWEB)

    Harilal, Sivanandan S.; Yeak, J.; Brumfield, Brian E.; Suter, Jonathan D.; Phillips, Mark C.

    2016-06-15

    The evolutionary paths of molecular species and nanoparticles in laser ablation plumes are not well understood due to the complexity of numerous physical processes that occur simultaneously in a transient laser-plasma system. It is well known that the emission features of ions, atoms, molecules and nanoparticles in a laser ablation plume strongly depend on the laser irradiation conditions. In this letter we report the temporal emission features of AlO molecules in plasmas generated using a nanosecond laser, a femtosecond laser and filaments generated from a femtosecond laser. Our results show that, at a fixed laser energy, the persistence of AlO is found to be highest and lowest in ns and filament laser plasmas respectively while molecular species are formed at early times for both ultrashort pulse (fs and filament) generated plasmas. Analysis of the AlO emission band features show that the vibrational temperature of AlO decays rapidly in filament assisted laser ablation plumes.

  17. Cancer metabolic reprogramming:impor tance, main features, and potentials for precise targeted anti-cancer therapies

    Institute of Scientific and Technical Information of China (English)

    Liem Minh Phan; Sai-Ching Jim Yeung; Mong-Hong Lee

    2014-01-01

    Cancer cells are well documented to rewire their metabolism and energy production networks to support and enable rapid proliferation, continuous growth, survival in harsh conditions, invasion, metastasis, and resistance to cancer treatments. Since Dr. Otto Warburg’s discovery about altered cancer cell metabolism in 1930, thousands of studies have shed light on various aspects of cancer metabolism with a common goal to find new ways for effectively eliminating tumor cells by targeting their energy metabolism. hTis review highlights the importance of the main features of cancer metabolism, summarizes recent remarkable advances in this ifeld, and points out the potentials to translate these scientiifc ifndings into life-saving diagnosis and therapies to help cancer patients.

  18. Molecular Principles of Gene Fusion Mediated Rewiring of Protein Interaction Networks in Cancer.

    Science.gov (United States)

    Latysheva, Natasha S; Oates, Matt E; Maddox, Louis; Flock, Tilman; Gough, Julian; Buljan, Marija; Weatheritt, Robert J; Babu, M Madan

    2016-08-18

    Gene fusions are common cancer-causing mutations, but the molecular principles by which fusion protein products affect interaction networks and cause disease are not well understood. Here, we perform an integrative analysis of the structural, interactomic, and regulatory properties of thousands of putative fusion proteins. We demonstrate that genes that form fusions (i.e., parent genes) tend to be highly connected hub genes, whose protein products are enriched in structured and disordered interaction-mediating features. Fusion often results in the loss of these parental features and the depletion of regulatory sites such as post-translational modifications. Fusion products disproportionately connect proteins that did not previously interact in the protein interaction network. In this manner, fusion products can escape cellular regulation and constitutively rewire protein interaction networks. We suggest that the deregulation of central, interaction-prone proteins may represent a widespread mechanism by which fusion proteins alter the topology of cellular signaling pathways and promote cancer. PMID:27540857

  19. Distinct Clinic-Pathological Features of Early Differentiated-Type Gastric Cancers after Helicobacter pylori Eradication.

    Science.gov (United States)

    Horiguchi, Noriyuki; Tahara, Tomomitsu; Kawamura, Tomohiko; Okubo, Masaaki; Ishizuka, Takamitsu; Nakagawa, Yoshihito; Nagasaka, Mitsuo; Shibata, Tomoyuki; Ohmiya, Naoki

    2016-01-01

    Background. Gastric cancer is discovered even after successful eradication of H. pylori. We investigated clinic pathological features of early gastric cancers after H. pylori eradication. Methods. 51 early gastric cancers (EGCs) from 44 patients diagnosed after successful H. pylori eradication were included as eradication group. The clinic-pathological features were compared with that of 131 EGCs from 120 patients who did not have a history of H. pylori eradication (control group). Results. Compared with control group, clinic-pathological features of eradication group were characterized as depressed (p EGC after H. pylori eradication are depressed, reddish appearances, which should be treated as a caution because histological diagnosis of cancerous tissue is sometimes difficult by endoscopic biopsy. PMID:27212944

  20. Molecular Signaling Pathways Mediating Osteoclastogenesis Induced by Prostate Cancer Cells

    International Nuclear Information System (INIS)

    Advanced prostate cancer commonly metastasizes to bone leading to osteoblastic and osteolytic lesions. Although an osteolytic component governed by activation of bone resorbing osteoclasts is prominent in prostate cancer metastasis, the molecular mechanisms of prostate cancer-induced osteoclastogenesis are not well-understood. We studied the effect of soluble mediators released from human prostate carcinoma cells on osteoclast formation from mouse bone marrow and RAW 264.7 monocytes. Soluble factors released from human prostate carcinoma cells significantly increased viability of naïve bone marrow monocytes, as well as osteoclastogenesis from precursors primed with receptor activator of nuclear factor κ-B ligand (RANKL). The prostate cancer-induced osteoclastogenesis was not mediated by RANKL as it was not inhibited by osteoprotegerin (OPG). However inhibition of TGFβ receptor I (TβRI), or macrophage-colony stimulating factor (MCSF) resulted in attenuation of prostate cancer-induced osteoclastogenesis. We characterized the signaling pathways induced in osteoclast precursors by soluble mediators released from human prostate carcinoma cells. Prostate cancer factors increased basal calcium levels and calcium fluctuations, induced nuclear localization of nuclear factor of activated t-cells (NFAT)c1, and activated prolonged phosphorylation of ERK1/2 in RANKL-primed osteoclast precursors. Inhibition of calcium signaling, NFATc1 activation, and ERK1/2 phosphorylation significantly reduced the ability of prostate cancer mediators to stimulate osteoclastogenesis. This study reveals the molecular mechanisms underlying the direct osteoclastogenic effect of prostate cancer derived factors, which may be beneficial in developing novel osteoclast-targeting therapeutic approaches

  1. Molecular mechanisms of prostate cancer development

    Czech Academy of Sciences Publication Activity Database

    Souček, Karel; Lincová, Eva; Staršíchová, Andrea; Pernicová, Zuzana; Vondráček, Jan; Machala, M.; Kozubík, Alois

    Brno, 2008. s. 11. ISBN 978-80-7013-474-0. [Aktuální problematika genetické toxikologie, 31. pracovní dny České a slovenské společnosti pro mutagenezi zevním prostředím Československé biologické společnosti. 12.05.2008-14.05.2008, Brno] R&D Projects: GA ČR(CZ) GA310/07/0961; GA ČR(CZ) GA204/07/0834 Institutional research plan: CEZ:AV0Z50040507; CEZ:AV0Z50040702 Keywords : prostate cancer * neuroendocrine differentiation * inflammation Subject RIV: BO - Biophysics

  2. Risk of Breast Cancer in Women with False-Positive Results according to Mammographic Features.

    Science.gov (United States)

    Castells, Xavier; Torá-Rocamora, Isabel; Posso, Margarita; Román, Marta; Vernet-Tomas, Maria; Rodríguez-Arana, Ana; Domingo, Laia; Vidal, Carmen; Baré, Marisa; Ferrer, Joana; Quintana, María Jesús; Sánchez, Mar; Natal, Carmen; Espinàs, Josep A; Saladié, Francina; Sala, María

    2016-08-01

    Purpose To assess the risk of breast cancer in women with false-positive screening results according to radiologic classification of mammographic features. Materials and Methods Review board approval was obtained, with waiver of informed consent. This retrospective cohort study included 521 200 women aged 50-69 years who underwent screening as part of the Spanish Breast Cancer Screening Program between 1994 and 2010 and who were observed until December 2012. Cox proportional hazards regression analysis was used to estimate the age-adjusted hazard ratio (HR) of breast cancer and the 95% confidence interval (CI) in women with false-positive mammograms as compared with women with negative mammograms. Separate models were adjusted for screen-detected and interval cancers and for screen-film and digital mammography. Time without a breast cancer diagnosis was plotted by using Kaplan-Meier curves. Results When compared with women with negative mammograms, the age-adjusted HR of cancer in women with false-positive results was 1.84 (95% CI: 1.73, 1.95; P breast cancer, particularly women who had calcifications at mammography. Women who had more than one examination with false-positive findings and in whom the mammographic features changed over time had a highly increased risk of breast cancer. Previous mammographic features might yield useful information for further risk-prediction models and personalized follow-up screening protocols. (©) RSNA, 2016 Online supplemental material is available for this article. PMID:26878225

  3. Retinoic acid receptors: from molecular mechanisms to cancer therapy.

    Science.gov (United States)

    di Masi, Alessandra; Leboffe, Loris; De Marinis, Elisabetta; Pagano, Francesca; Cicconi, Laura; Rochette-Egly, Cécile; Lo-Coco, Francesco; Ascenzi, Paolo; Nervi, Clara

    2015-02-01

    Retinoic acid (RA), the major bioactive metabolite of retinol or vitamin A, induces a spectrum of pleiotropic effects in cell growth and differentiation that are relevant for embryonic development and adult physiology. The RA activity is mediated primarily by members of the retinoic acid receptor (RAR) subfamily, namely RARα, RARβ and RARγ, which belong to the nuclear receptor (NR) superfamily of transcription factors. RARs form heterodimers with members of the retinoid X receptor (RXR) subfamily and act as ligand-regulated transcription factors through binding specific RA response elements (RAREs) located in target genes promoters. RARs also have non-genomic effects and activate kinase signaling pathways, which fine-tune the transcription of the RA target genes. The disruption of RA signaling pathways is thought to underlie the etiology of a number of hematological and non-hematological malignancies, including leukemias, skin cancer, head/neck cancer, lung cancer, breast cancer, ovarian cancer, prostate cancer, renal cell carcinoma, pancreatic cancer, liver cancer, glioblastoma and neuroblastoma. Of note, RA and its derivatives (retinoids) are employed as potential chemotherapeutic or chemopreventive agents because of their differentiation, anti-proliferative, pro-apoptotic, and anti-oxidant effects. In humans, retinoids reverse premalignant epithelial lesions, induce the differentiation of myeloid normal and leukemic cells, and prevent lung, liver, and breast cancer. Here, we provide an overview of the biochemical and molecular mechanisms that regulate the RA and retinoid signaling pathways. Moreover, mechanisms through which deregulation of RA signaling pathways ultimately impact on cancer are examined. Finally, the therapeutic effects of retinoids are reported. PMID:25543955

  4. [Development of molecular targeted therapies in lung cancers].

    Science.gov (United States)

    Suda, Kenichi; Mitsudomi, Tetsuya

    2014-05-01

    Human cancers usually possess cumulative genetic aberrations. However, recent studies have revealed that the proliferation and survival of specific subsets of lung cancer depend on a few somatic mutation(s), so-called driver mutations. Representative driver mutations include the EGFR mutation and ALK translocation identified in about 40% and 3% of lung adenocarcinomas in Japan, respectively. These tumors are extremely sensitive to the respective tyrosine kinase inhibitors. This sensitivity has encouraged researchers and clinicians to explore novel driver mutations in lung cancers as future molecular targets. Driver mutations reported so far include the HER2 mutation, BRAF mutation, ROS1 translocation, RET translocation, and NTRK translocation in lung adenocarcinomas, and FGFR1 amplification, DDR2 mutation, and FGFR3 translocation in lung squamous cell carcinomas. However, despite initial dramatic responses, the acquisition of resistance to molecular targeted drugs is almost inevitable. Overcoming resistance to molecular targeted drugs, the key drugs at this time, is an urgent issue to improve the outcomes of lung cancer patients. PMID:24946519

  5. Detection of early primary colorectal cancer with upconversion luminescent NP-based molecular probes

    Science.gov (United States)

    Liu, Chunyan; Qi, Yifei; Qiao, Ruirui; Hou, Yi; Chan, Kaying; Li, Ziqian; Huang, Jiayi; Jing, Lihong; Du, Jun; Gao, Mingyuan

    2016-06-01

    Early detection and diagnosis of cancers is extremely beneficial for improving the survival rate of cancer patients and molecular imaging techniques are believed to be relevant for offering clinical solutions. Towards early cancer detection, we developed a primary animal colorectal cancer model and constructed a tumor-specific imaging probe by using biocompatible NaGdF4:Yb,Er@NaGdF4 upconversion luminescent NPs for establishing a sensitive early tumor imaging method. The primary animal tumor model, which can better mimic the human colorectal cancer, was built upon continual administration of 1,2-dimethylhydrazine in Kunming mice and the tumor development was carefully monitored through histopathological and immunohistochemical analyses to reveal the pathophysiological processes and molecular features of the cancer microenvironment. The upconversion imaging probe was constructed through covalent coupling of PEGylated core-shell NPs with folic acid whose receptor is highly expressed in the primary tumors. Upon 980 nm laser excitation, the primary colorectal tumors in the complex abdominal environment were sensitively imaged owing to the ultralow background of the upconversion luminescence and the high tumor-targeting specificity of the nanoprobe. We believe that the current studies provide a highly effective and potential approach for early colorectal cancer diagnosis and tumor surgical navigation.Early detection and diagnosis of cancers is extremely beneficial for improving the survival rate of cancer patients and molecular imaging techniques are believed to be relevant for offering clinical solutions. Towards early cancer detection, we developed a primary animal colorectal cancer model and constructed a tumor-specific imaging probe by using biocompatible NaGdF4:Yb,Er@NaGdF4 upconversion luminescent NPs for establishing a sensitive early tumor imaging method. The primary animal tumor model, which can better mimic the human colorectal cancer, was built upon continual

  6. The molecular mechanisms between metabolic syndrome and breast cancer.

    Science.gov (United States)

    Chen, Yi; Wen, Ya-Yuan; Li, Zhi-Rong; Luo, Dong-Lin; Zhang, Xiao-Hua

    2016-03-18

    Metabolic syndrome, which is extremely common in developed and some developing countries, is a clustering of at least three of five of the following medical conditions: abdominal obesity, elevated blood pressure, elevated fasting plasma glucose, high serum triglycerides, and low high-density lipoprotein levels. It has been proved that there is a strong association between metabolic syndrome and breast cancer. Metabolic syndrome could increase the risk of breast cancer and influence the prognosis of the breast cancer patients. Some characteristic of metabolic syndrome such as obesity and lack of physical exercise are all risk factors for developing breast cancer. The metabolic syndrome mainly include obesity, type 2 diabetes, hypercholesterolemia and nonalcoholic fatty liver disease, and each of them impacts the risk of breast cancer and the prognosis of the breast cancer patients in different ways. In this Review, we focus on recently uncovered aspects of the immunological and molecular mechanisms that are responsible for the development of this highly prevalent and serious disease. These studies bring new insight into the complex associations between metabolic syndrome and breast cancer and have led to the development of novel therapeutic strategies that might enable a personalized approach in the management of this disease. PMID:26891869

  7. Non-invasive Optical Molecular Imaging for Cancer Detection

    Science.gov (United States)

    Luo, Zhen

    Cancer is a leading cause of death worldwide. It remains the second most common cause of death in the US, accounting for nearly 1 out of every 4 deaths. Improved fundamental understanding of molecular processes and pathways resulting in cancer development has catalyzed a shift towards molecular analysis of cancer using imaging technologies. It is expected that the non-invasive or minimally invasive molecular imaging analysis of cancer can significantly aid in improving the early detection of cancer and will result in reduced mortality and morbidity associated with the disease. The central hypothesis of the proposed research is that non-invasive imaging of changes in metabolic activity of individual cells, and extracellular pH within a tissue will improve early stage detection of cancer. The specific goals of this research project were to: (a) develop novel optical imaging probes to image changes in choline metabolism and tissue pH as a function of progression of cancer using clinically isolated tissue biopsies; (b) correlate changes in tissue extracellular pH and metabolic activity of tissues as a function of disease state using clinically isolated tissue biopsies; (c) provide fundamental understanding of relationship between tumor hypoxia, acidification of the extracellular space and altered cellular metabolism with progression of cancer. Three novel molecular imaging probes were developed to detect changes in choline and glucose metabolism and extracellular pH in model systems and clinically isolated cells and biopsies. Glucose uptake and metabolism was measured using a fluorescence analog of glucose, 2-NBDG (2-[N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)amino]-2-deoxy-D-glucose), while choline metabolism was measured using a click chemistry analog of choline, propargyl choline, which can be in-situ labeled with a fluorophore Alexa-488 azide via a click chemistry reaction. Extracellular pH in tissue were measured by Alexa-647 labeled pHLIP (pH low insertion peptide

  8. The implications of breast cancer molecular phenotype for radiation oncology

    Directory of Open Access Journals (Sweden)

    ShirinSioshansi

    2011-06-01

    Full Text Available The identification of distinct molecular subtypes of breast cancer has advanced the understanding and treatment of breast cancer by providing insight into prognosis, patterns of recurrence and effectiveness of therapy. The prognostic significance of molecular phenotype with regard to distant recurrences and overall survival are well established in the literature and has been readily incorporated into systemic therapy management decisions. However, despite the accumulating data suggesting similar prognostic significance for locoregional recurrence, integration of molecular phenotype into local management decision making has lagged. Although there are some conflicting reports, collectively the literature supports a low risk of local recurrence in the hormone receptor positive luminal subtypes compared to hormone receptor negative subtypes (triple negative and HER2-enriched. The development of targeted therapies, such as trastuzumab for the treatment of HER2-enriched subtype, has been shown to mitigate the increased risk of local recurrence. Unfortunately, no such remedy exists to address the increased risk of local recurrence for patients with triple negative tumors, making it a clinical challenge for radiation oncologists. In this review we discuss the correlation between molecular subtype and local recurrence following either breast conservation therapy or mastectomy. We also explore the possible mechanisms for increased local recurrence in triple negative breast cancer and radiotherapeutic implications for this population, such as the safety of breast conservation, consideration of dose escalation and the appropriateness of accelerated partial breast irradiation.

  9. Near Infrared Imaging of Molecular Beacons in Cancers

    Science.gov (United States)

    Chance, Britton

    2001-03-01

    The recent demonstrations of the efficacy of the tumor to background contrast in breast cancer using the tricarbo-cyanine near infrared (NIR) agent with time domain 2-D imaging presages the greater efficacy of site-directed optical contrast agents for early detection of cancers which show contrast (tissue to background) of over 20 fold. Further increases of contrast are obtained with structures that quench the fluorescence until the agent is delivered, recognized, and opened by specific enzymatic activity of the tumor. These are termed ``Molecular Beacons". In order to image the localization of the Beacons, we employ light pen ( 20μ) in LN2 gives the desired 3D high resolution image of the location of the Beacon within in the cancer cell. Since cancer prevention is linked to early detection, the high signal to background obtainable with Molecular Beacons enables the detection of very early subsurface cancers, especially breast and prostate (NIH, UIP). Thus the fluorescent Beacon excites and emits in the NIR window and signals from several cm deep in breast are detected by diffusive wave optical tomography (DWOT). Detection of objects ( 800 nm) affording 0.2 mm object detection of even low Beacon concentrations. One, two, and 3-D localization is made possible by one, two, and three orthogonal phase array null planes.

  10. Molecular markers and targets for colorectal cancer prevention

    Institute of Scientific and Technical Information of China (English)

    Naveena B JANAKIRAM; Chinthalapally V RAO

    2008-01-01

    Colorectal cancer is the third most prevalent cancer in the world. If detected at an early stage, treatment often might lead to cure. As prevention is better than cure, epidemiological studies reveal that having a healthy diet often protects from pro-moting/developing cancer. An important consideration in evaluating new drugs and devices is determining whether a product can effectively treat a targeted disease. There are quite a number of biomarkers making their way into clinical trials and few are awaiting the preclinical efficacy and safety results to enter into clinical trials. Researchers are facing challenges in modifying trial design and defining the right control population, validating biomarker assays from the bio-logical and analytical perspective and using biomarker data as a guideline for decision making. In spite of following all guidelines, the results are disappointing from many of the large clinical trials. To avoid these disappointments, selection of biomarkers and its target drug needs to be evaluated in appropriate animal models for its toxicities and efficacies. The focus of this review is on the few of the potential molecular targets and their biomarkers in colorectal cancers. Strengths and limitations of biomarkers/surrogate endpoints are also discussed. Various pathways involved in tumor cells and the specific agents to target the altered molecular biomarkerin biomolecular pathwayare elucidated. Importance of emerging new platforms siRNAs and miRNAs technology for colorectal cancer therapeutics is reviewed.

  11. Breast imaging technology: Probing physiology and molecular function using optical imaging - applications to breast cancer

    International Nuclear Information System (INIS)

    The present review addresses the capacity of optical imaging to resolve functional and molecular characteristics of breast cancer. We focus on recent developments in optical imaging that allow three-dimensional reconstruction of optical signatures in the human breast using diffuse optical tomography (DOT). These technologic advances allow the noninvasive, in vivo imaging and quantification of oxygenated and deoxygenated hemoglobin and of contrast agents that target the physiologic and molecular functions of tumors. Hence, malignancy differentiation can be based on a novel set of functional features that are complementary to current radiologic imaging methods. These features could enhance diagnostic accuracy, lower the current state-of-the-art detection limits, and play a vital role in therapeutic strategy and monitoring

  12. Molecular features related to HIV integrase inhibition obtained from structure- and ligand-based approaches.

    Directory of Open Access Journals (Sweden)

    Luciana L de Carvalho

    Full Text Available Among several biological targets to treat AIDS, HIV integrase is a promising enzyme that can be employed to develop new anti-HIV agents. The aim of this work is to propose a mechanistic interpretation of HIV-1 integrase inhibition and to rationalize the molecular features related to the binding affinity of studied ligands. A set of 79 HIV-1 integrase inhibitors and its relationship with biological activity are investigated employing 2D and 3D QSAR models, docking analysis and DFT studies. Analyses of docking poses and frontier molecular orbitals revealed important features on the main ligand-receptor interactions. 2D and 3D models presenting good internal consistency, predictive power and stability were obtained in all cases. Significant correlation coefficients (r(2 = 0.908 and q(2= 0.643 for 2D model; r(2= 0.904 and q(2= 0.719 for 3D model were obtained, indicating the potential of these models for untested compounds. The generated holograms and contribution maps revealed important molecular requirements to HIV-1 IN inhibition and several evidences for molecular modifications. The final models along with information resulting from molecular orbitals, 2D contribution and 3D contour maps should be useful in the design of new inhibitors with increased potency and selectivity within the chemical diversity of the data.

  13. Enhanced cancer recognition system based on random forests feature elimination algorithm.

    Science.gov (United States)

    Ozcift, Akin

    2012-08-01

    Accurate classifiers are vital to design precise computer aided diagnosis (CADx) systems. Classification performances of machine learning algorithms are sensitive to the characteristics of data. In this aspect, determining the relevant and discriminative features is a key step to improve performance of CADx. There are various feature extraction methods in the literature. However, there is no universal variable selection algorithm that performs well in every data analysis scheme. Random Forests (RF), an ensemble of trees, is used in classification studies successfully. The success of RF algorithm makes it eligible to be used as kernel of a wrapper feature subset evaluator. We used best first search RF wrapper algorithm to select optimal features of four medical datasets: colon cancer, leukemia cancer, breast cancer and lung cancer. We compared accuracies of 15 widely used classifiers trained with all features versus to extracted features of each dataset. The experimental results demonstrated the efficiency of proposed feature extraction strategy with the increase in most of the classification accuracies of the algorithms. PMID:21567124

  14. MicroRNAs as molecular markers in lung cancer

    Directory of Open Access Journals (Sweden)

    Javier Silva

    2013-10-01

    Full Text Available Lung cancer is the most common cause of cancer death in the western world for both men and women. Lung cancer appears to be a perfect candidate for a screening program, since it is the number one cancer killer, it has a long preclinical phase, curative treatment for the minority of patients who are diagnosed early and a target population at risk (smokers and it is also a major economic burden. The earliest approaches to identifying cancer markers were based on preliminary clinical or pathological observations, although molecular biology is a strong candidate for occupying a place among the set of methods. In search of markers, several alterations, such as mutations, loss of heterozygosity, microsatellite instability, DNA methylation, mitochondrial DNA mutations, viral DNA, modified expression of mRNA, miRNA and proteins, and structurally altered proteins have all been analysed. MicroRNAs (miRNA are small RNA molecules, about 19-25 nucleotides long and encoded in genomes of plants, animals, fungi and viruses. It has been reported that miRNAs may have multiple functions in lung development and that aberrant expression of miRNAs could induce lung tumorigenesis. We review here the role of miRNAs in lung tumorigenesis and also as a novel type of biomarker.-----------------------------------Cite this article as:Silva J, Garcia V, Lopez-Gonzalez A, Provencio M. MicroRNAs as molecular markers in lung cancer. Int J Cancer Ther Oncol 2013;1(1:010111. DOI: http://dx.doi.org/10.14319/ijcto.0101.11

  15. Immunophenotyping invasive breast cancer: paving the road for molecular imaging

    International Nuclear Information System (INIS)

    Mammographic population screening in The Netherlands has increased the number of breast cancer patients with small and non-palpable breast tumors. Nevertheless, mammography is not ultimately sensitive and specific for distinct subtypes. Molecular imaging with targeted tracers might increase specificity and sensitivity of detection. Because development of new tracers is labor-intensive and costly, we searched for the smallest panel of tumor membrane markers that would allow detection of the wide spectrum of invasive breast cancers. Tissue microarrays containing 483 invasive breast cancers were stained by immunohistochemistry for a selected set of membrane proteins known to be expressed in breast cancer. The combination of highly tumor-specific markers glucose transporter 1 (GLUT1), epidermal growth factor receptor (EGFR), insulin-like growth factor-1 receptor (IGF1-R), human epidermal growth factor receptor 2 (HER2), hepatocyte growth factor receptor (MET), and carbonic anhydrase 9 (CAIX) 'detected' 45.5% of tumors, especially basal/triple negative and HER2-driven ductal cancers. Addition of markers with a 2-fold tumor-to-normal ratio increased the detection rate to 98%. Including only markers with >3 fold tumor-to-normal ratio (CD44v6) resulted in an 80% detection rate. The detection rate of the panel containing both tumor-specific and less tumor-specific markers was not dependent on age, tumor grade, tumor size, or lymph node status. In search of the minimal panel of targeted probes needed for the highest possible detection rate, we showed that 80% of all breast cancers express at least one of a panel of membrane markers (CD44v6, GLUT1, EGFR, HER2, and IGF1-R) that may therefore be suitable for molecular imaging strategies. This study thereby serves as a starting point for further development of a set of antibody-based optical tracers with a high breast cancer detection rate

  16. Immunophenotyping invasive breast cancer: paving the road for molecular imaging

    Directory of Open Access Journals (Sweden)

    Vermeulen Jeroen F

    2012-06-01

    Full Text Available Abstract Background Mammographic population screening in The Netherlands has increased the number of breast cancer patients with small and non-palpable breast tumors. Nevertheless, mammography is not ultimately sensitive and specific for distinct subtypes. Molecular imaging with targeted tracers might increase specificity and sensitivity of detection. Because development of new tracers is labor-intensive and costly, we searched for the smallest panel of tumor membrane markers that would allow detection of the wide spectrum of invasive breast cancers. Methods Tissue microarrays containing 483 invasive breast cancers were stained by immunohistochemistry for a selected set of membrane proteins known to be expressed in breast cancer. Results The combination of highly tumor-specific markers glucose transporter 1 (GLUT1, epidermal growth factor receptor (EGFR, insulin-like growth factor-1 receptor (IGF1-R, human epidermal growth factor receptor 2 (HER2, hepatocyte growth factor receptor (MET, and carbonic anhydrase 9 (CAIX 'detected' 45.5% of tumors, especially basal/triple negative and HER2-driven ductal cancers. Addition of markers with a 2-fold tumor-to-normal ratio increased the detection rate to 98%. Including only markers with >3 fold tumor-to-normal ratio (CD44v6 resulted in an 80% detection rate. The detection rate of the panel containing both tumor-specific and less tumor-specific markers was not dependent on age, tumor grade, tumor size, or lymph node status. Conclusions In search of the minimal panel of targeted probes needed for the highest possible detection rate, we showed that 80% of all breast cancers express at least one of a panel of membrane markers (CD44v6, GLUT1, EGFR, HER2, and IGF1-R that may therefore be suitable for molecular imaging strategies. This study thereby serves as a starting point for further development of a set of antibody-based optical tracers with a high breast cancer detection rate.

  17. Molecular definition of a region of chromosome 21 that causes features of the Down syndrome phenotype

    OpenAIRE

    Korenberg, Julie R; Kawashima, Hiroko; Pulst, Stefan-M.; Ikeuchi, T; Ogasawara, N; Yamamoto, K.; Schonberg, Steven A.; West, Ruth; Allen, Leland; Magenis, Ellen; Ikawa, K; Taniguchi, N; Epstein, Charles J.

    1990-01-01

    Down syndrome (DS) is a major cause of mental retardation and heart disease. Although it is usually caused by the presence of an extra chromosome 21, a subset of the diagnostic features may be caused by the presence of only band 21q22. We now present evidence that significantly narrows the chromosomal region responsible for several of the phenotypic features of DS. We report a molecular and cytogenetic analysis of a three-generation family containing four individuals with clinical DS as manif...

  18. Estrogen Receptor-Targeted Contrast Agents for Molecular Magnetic Resonance Imaging of Breast Cancer Hormonal Status.

    Science.gov (United States)

    Pais, Adi; Degani, Hadassa

    2016-01-01

    The estrogen receptor (ER) α is overexpressed in most breast cancers, and its level serves as a major prognostic factor. It is important to develop quantitative molecular imaging methods that specifically detect ER in vivo and assess its function throughout the entire primary breast cancer and in metastatic breast cancer lesions. This study presents the biochemical and molecular features, as well as the magnetic resonance imaging (MRI) effects of two novel ER-targeted contrast agents (CAs), based on pyridine-tetra-acetate-Gd(III) chelate conjugated to 17β-estradiol (EPTA-Gd) or to tamoxifen (TPTA-Gd). The experiments were conducted in solution, in human breast cancer cells, and in severe combined immunodeficient mice implanted with transfected ER-positive and ER-negative MDA-MB-231 human breast cancer xenografts. Binding studies with ER in solution and in human breast cancer cells indicated affinities in the micromolar range of both CAs. Biochemical and molecular studies in breast cancer cell cultures showed that both CAs exhibit estrogen-like agonistic activity, enhancing cell proliferation, as well as upregulating cMyc oncogene and downregulating ER expression levels. The MRI longitudinal relaxivity was significantly augmented by EPTA-Gd in ER-positive cells as compared to ER-negative cells. Dynamic contrast-enhanced studies with EPTA-Gd in vivo indicated specific augmentation of the MRI water signal in the ER-positive versus ER-negative xenografts, confirming EPTA-Gd-specific interaction with ER. In contrast, TPTA-Gd did not show increased enhancement in ER-positive tumors and did not appear to interact in vivo with the tumors' ER. However, TPTA-Gd was found to interact strongly with muscle tissue, enhancing muscle signal intensity in a mechanism independent of the presence of ER. The specificity of EPTA-Gd interaction with ER in vivo was further verified by acute and chronic competition with tamoxifen. The chronic tamoxifen treatment also revealed that this

  19. Proteogenomic-based discovery of minor histocompatibility antigens with suitable features for immunotherapy of hematologic cancers.

    Science.gov (United States)

    Granados, D P; Rodenbrock, A; Laverdure, J-P; Côté, C; Caron-Lizotte, O; Carli, C; Pearson, H; Janelle, V; Durette, C; Bonneil, E; Roy, D C; Delisle, J-S; Lemieux, S; Thibault, P; Perreault, C

    2016-06-01

    Pre-clinical studies have shown that injection of allogeneic T cells primed against a single minor histocompatibility antigen (MiHA) could cure hematologic cancers (HC) without causing any toxicity to the host. However, translation of this approach in humans has been hampered by the paucity of molecularly defined human MiHAs. Using a novel proteogenomic approach, we have analyzed cells from 13 volunteers and discovered a vast repertoire of MiHAs presented by the most common HLA haplotype in European Americans: HLA-A*02:01;B*44:03. Notably, out of >6000 MiHAs, we have identified a set of 39 MiHAs that share optimal features for immunotherapy of HCs. These 'optimal MiHAs' are coded by common alleles of genes that are preferentially expressed in hematopoietic cells. Bioinformatic modeling based on MiHA allelic frequencies showed that the 39 optimal MiHAs would enable MiHA-targeted immunotherapy of practically all HLA-A*02:01;B*44:03 patients. Further extension of this strategy to a few additional HLA haplotypes would allow treatment of almost all patients. PMID:26857467

  20. AN EPIDEMIOLOGY AND MOLECULAR GENETIC STUDY ON BREAST CANCER SUSCEPTIBILITY

    Institute of Scientific and Technical Information of China (English)

    贾卫华; 王继先; 李本孝; 李征

    2000-01-01

    Objectives. To investigate the genetic susceptibility for breast cancer of Chinese, a hospital-based case-control study, pedigree survey and molecular genetic study were conducted. Methods. Logistic regression model and stratification methods were used in the risk factors analysis. Li-Mantel art and Falconer methods were used to analyze the segregation ratio and heritability. Polymerase chain reaction (PCR) and polyacrylamide gel electrophoresis were used to detect AI, G-banding technique was used to detect the chromosome aberration of peripheral blood lymphocyte. Results. Family history of breast cancer is related to enhanced breast cancer risk significartly, OR is 3.905 ( 95 % CI = 1.079 ~ 14.13), and it widely interacts with other risk factors. Accumulative incidence of breast cancer in first degree relatives is 9.99%, which is larger than that in second, third degree and non-blood relatives. Segregation ratio is 0.021, heritability among first degree relatives is 35.6 ± 5.8%. Frequencies of LOH at BRCA1 and BRCA2 loci in sporadic breast cancer are 6.12% and 5.77% respectively. In the sibs, both of them show LOH at D13S173 locus, and high frequencies of chromosome aberrations were observed. Conclusions. Genetic susceptibility contributes to breast cancer occurrence of Chinese, and its racial variation may be one of the important reasons for the large difference of incidence between western and eastern countries.

  1. AN EPIDEMIOLOGY AND MOLECULAR GENETIC STUDY ON BREAST CANCER SUSCEPTIBILITY

    Institute of Scientific and Technical Information of China (English)

    贾卫华; 王继先; 李本孝; 李征

    2000-01-01

    Obieaites. To investigate the genetic susceptibility for breast cancer of Chinese, a hospital-besed case-control study, pedigree survey and molecular genetic study were conducted. Methods. Logistic regression model and stratification methods were used in the risk factors analysis. Li-Mantel-Gart and Falconer methods were used to analyze the segregation ratio and heritability. Polymemse chain reaction (PCR) and polyacrylamide gel electrophoresis were used to detect AI, G-banding technique was used to detect the chromosome aberration of peripheral blood lymphocyte. Results. Family history of breast cancer is related to enhanced breast cancer risk significantly, OR is 3.905(95% CI = 1.079—14.13), and it widely interacts with other risk factors. Accumulative incidence of breast cancer in first degree relatives is 9.99%, which is larger than that in second, third degree and non-blnod relatives. Segregation ratio is 0.021, heritability among first degree relatives is 35.6 ± 5.8%. Frequencies of LDH at BRCA1 and BRCA2 loci in sporadic breast cancer are 6.12% and 5.77% respectively. In the sibs, both of them show LOH at D13S173 locus, and high frequencies of chromosome abermtions were observed.Condusions. Genetic susceptibility contributes to breast cancer occurrence of Chinese, and its racial variation may be one of the important reasons for the large difference of incidence between western and eastern countries.

  2. Clinical Challenges to Current Molecularly Targeted Therapies in Lung Cancer

    Science.gov (United States)

    Chhabra, Gagan; Eggert, Ashley; Puri, Neelu

    2016-01-01

    Lung cancer is difficult to treat with a poor prognosis and a five year survival of 15%. Current molecularly targeted therapies are initially effective in non-small cell lung cancer (NSCLC) patients; however, they are plagued with difficulties including induced resistance and small therapeutically responsive populations. This mini review describes the mechanism of resistance to several molecularly targeted therapies which are currently being used to treat NSCLC. The major targets discussed are c-Met, EGFR, HER2, ALK, VEGFR, and BRAF. The first generation tyrosine kinase inhibitors (TKIs) resulted in resistance; however, second and third generation TKIs are being developed, which are generally more efficacious and have potential to treat NSCLC patients with resistance to first generation TKIs. Combination therapies could also be effective in preventing TKI resistance in NSCLC patients.

  3. Exploring molecular links between lymph node invasion and cancer prognosis in human breast cancer

    OpenAIRE

    Kim, Sangwoo; Nam, Hojung; Lee, Doheon

    2011-01-01

    Abstract Background Lymph node invasion is one of the most powerful clinical factors in cancer prognosis. However, molecular level signatures of their correlation are remaining poorly understood. Here, we propose a new approach, monotonically expressed gene analysis (MEGA), to correlate transcriptional patterns of lymph node invasion related genes with clinical outcome of breast cancer patients. Results Using MEGA, we scored all genes with their transcriptional patterns ov...

  4. Exploring molecular links between lymph node invasion and cancer prognosis in human breast cancer

    OpenAIRE

    Kim Sangwoo; Nam Hojung; Lee Doheon

    2011-01-01

    Abstract Background Lymph node invasion is one of the most powerful clinical factors in cancer prognosis. However, molecular level signatures of their correlation are remaining poorly understood. Here, we propose a new approach, monotonically expressed gene analysis (MEGA), to correlate transcriptional patterns of lymph node invasion related genes with clinical outcome of breast cancer patients. Results Using MEGA, we scored all genes with their transcriptional patterns over progression level...

  5. Universal molecular features of refractory dissolved organic matter in fresh- and seawater

    Science.gov (United States)

    Dittmar, T.; Blasius, B.; Steinbrink, C.; Feenders, C.; Stumm, M.; Christoffers, J.; Niggemann, J.; Gerdts, G.; Osterholz, H.; Seibt, M.; Seidel, M.; Vähätalo, A.

    2012-04-01

    Dissolved organic matter (DOM) is among the largest pools of reduced carbon on Earth's surface. Its molecular structure and the reasons behind its stability in the aquatic environment are unknown. We present a mathematical model that predicts essential molecular features of refractory dissolved organic matter in fresh- and seawater. The model has only eight input variables and can accurately reproduce the presence and abundance of up to 10,000 molecular formulae in aquatic systems. The model was established with ultrahigh-resolution mass spectrometry data of North Pacific deep water (obtained on a 15 Tesla Fourier-transform ion cyclotron resonance mass spectrometer, FT-ICR-MS). We determined the molecular formulae of DOM with help of FT-ICR-MS in >1,000 samples from around the globe, covering a wide variety of open ocean, freshwater and coastal systems. The molecular formulae predicted from our North Pacific deep water model were present in all sea- and fresh water samples. In terrigenous DOM, we detected a second group of compounds that could also accurately be predicted with our model, by using a different set of eight input variables. This exclusively terrigenous compound group was more photo-reactive than the universal compound group. During a two-year sampling period at a continental shelf station, the universal DOM compounds were always present at their predicted abundance. During plankton blooms, additional compounds were produced that did not match our model and that did not persist on a longer term. The universal DOM pattern was also not observed in mesocosm experiments where algae and bacteria blooms were artificially induced. Refractory DOM in any aquatic system not only shares the same molecular formulae at the same relative abundance, but compounds with the same molecular formulae most likely have the same molecular structure, independent of the origin of DOM. Fragmentation experiments in the FT-ICR-MS on a wide range of molecular formulae revealed

  6. Molecular Targeted Therapies Using Botanicals for Prostate Cancer Chemoprevention

    OpenAIRE

    Kumar, Nagi; Chornokur, Ganna

    2012-01-01

    In spite of the large number of botanicals demonstrating promise as potential cancer chemopreventive agents, most have failed to prove effectiveness in clinical trials. Critical requirements for moving botanical agents to recommendation for clinical use include adopting a systematic, molecular-target based approach and utilizing the same ethical and rigorous methods that are used to evaluate other pharmacological agents. Preliminary data on a mechanistic rationale for chemoprevention activity...

  7. Diagnostic features of lung metastases differentiated thyroid cancer

    Directory of Open Access Journals (Sweden)

    T. M. Geliashvili

    2015-01-01

    Full Text Available Background. The worldwide increasing incidence of thyroid cancer (TC is mainly due to a rise in its major form of differentiated TC (DTC: papillary. Most patients with DTC have a good prognosis; 10-year survival overall rates are as high as 85 %, but not greater than 40 % in a group of patients with distant metastases. At the same time, the lung is the most frequent target for distant metastases, accounting for 70 % of all sites.Objective: to estimate and compare the capabilities of different diagnostic techniques to detect lung metastases of DTC. Materials and methods. The results of diagnosing lung metastases were retrospectively analyzed in 36 patients (33 women and 3 men; mean age 53 years with DTC (29 patients with papillary TC and 7 with follicular TC treated at the department of radiotherapy with systemic therapy, Chelyabinsk Regional Clinical Oncology Center from 2011 to 2014.Results. Chest X-ray could reveal pulmonary metastases in 13 (36 % patients; lung pathology foci were absent in 23 (64 % patients. 131I whole-body scintigraphy (WBS proved to be of informative value in 24 (66.7 % patients, it displayed no increased accumulation of the radiopharmaceutical in the lung of 12 (33.3 % cases. Multislice spiral computed tomography (MSCT of the chest was carried out in 22 (61 % patients; out of them 21 (95.5 % were found to have 1.4-to-20-mm lung cancer foci. 18Fluorodeoxyglucose (18FDG positron emission tomography / computed tomography (PET / CT was performed in 18 (50 % patients, which showed 3–26-mm lung pathology foci in all the patents; out of them 16 (88.9 % were detected to have metastases owing to the CT component of this method. Thus, the highest sensitivity was exhibited by MSCT (95.5 %, 18FDG PET / CT (100 % due to its CT component, and 131I WBS (66.7 %.Conclusion. When lung metastases of DTC are suspected, 1 chest X-ray should be used as a screening test; 2 131I WBS should be performed in all patients; 3 MSCT of the chest is

  8. Status and Advances of RGD Molecular Imaging in Lung Cancer

    Directory of Open Access Journals (Sweden)

    Ning YUE

    2014-12-01

    Full Text Available Lung cancer has been one of the most common and the highest mortality rates malignant tumors at home and abroad. Sustained angiogenesis was not only the characteristic of malignant tumors, but also the foundation of tumor proliferation, invasion, recurrence and metastasis, it was also one of the hot spots of treatments in lung cancer biology currently. Integrins played an important part in tumor angiogenesis. Arg-Gly-Asp (RGD peptides could combine with integrins specifically, and the application of radionuclide-labeled RGD molecular probes enabled imaging of tumor blood vessels to reflect its changes. The lung cancer imaging of RGD peptides at home and abroad in recent years was reviewed in this article.

  9. Molecular Mechanism Underlying Lymphatic Metastasis in Pancreatic Cancer

    Directory of Open Access Journals (Sweden)

    Zhiwen Xiao

    2014-01-01

    Full Text Available As the most challenging human malignancies, pancreatic cancer is characterized by its insidious symptoms, low rate of surgical resection, high risk of local invasion, metastasis and recurrence, and overall dismal prognosis. Lymphatic metastasis, above all, is recognized as an early adverse event in progression of pancreatic cancer and has been described to be an independent poor prognostic factor. It should be noted that the occurrence of lymphatic metastasis is not a casual or stochastic but an ineluctable and designed event. Increasing evidences suggest that metastasis-initiating cells (MICs and the microenvironments may act as a double-reed style in this crime. However, the exact mechanisms on how they function synergistically for this dismal clinical course remain largely elusive. Therefore, a better understanding of its molecular and cellular mechanisms involved in pancreatic lymphatic metastasis is urgently required. In this review, we will summarize the latest advances on lymphatic metastasis in pancreatic cancer.

  10. Multifunctional Gold Nanostars for Molecular Imaging and Cancer Therapy

    Science.gov (United States)

    Liu, Yang; Yuan, Hsiangkuo; Fales, Andrew; Register, Janna; Vo-Dinh, Tuan

    2015-08-01

    Plasmonics-active gold nanoparticles offer excellent potential in molecular imaging and cancer therapy. Among them, gold nanostars (AuNS) exhibit cross-platform flexibility as multimodal contrast agents for macroscopic X-ray computer tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), as well as nanoprobes for photoacoustic tomography (PAT), two-photon photoluminescence (TPL) and surface-enhanced Raman spectroscopy (SERS). Their surfactant-free surface enables versatile functionalization to enhance cancer targeting, and allow triggered drug release. AuNS can also be used as an efficient platform for drug carrying, photothermal therapy, and photodynamic therapy. This review paper presents the latest progress regarding AuNS as a promising nanoplatform for cancer nanotheranostics. Future research directions with AuNS for biomedical applications will also be discussed.

  11. Vitamin D and colorectal cancer: molecular, epidemiological and clinical evidence.

    Science.gov (United States)

    Dou, Ruoxu; Ng, Kimmie; Giovannucci, Edward L; Manson, JoAnn E; Qian, Zhi Rong; Ogino, Shuji

    2016-05-01

    In many cells throughout the body, vitamin D is converted into its active form calcitriol and binds to the vitamin D receptor (VDR), which functions as a transcription factor to regulate various biological processes including cellular differentiation and immune response. Vitamin D-metabolising enzymes (including CYP24A1 and CYP27B1) and VDR play major roles in exerting and regulating the effects of vitamin D. Preclinical and epidemiological studies have provided evidence for anti-cancer effects of vitamin D (particularly against colorectal cancer), although clinical trials have yet to prove its benefit. In addition, molecular pathological epidemiology research can provide insights into the interaction of vitamin D with tumour molecular and immunity status. Other future research directions include genome-wide research on VDR transcriptional targets, gene-environment interaction analyses and clinical trials on vitamin D efficacy in colorectal cancer patients. In this study, we review the literature on vitamin D and colorectal cancer from both mechanistic and population studies and discuss the links and controversies within and between the two parts of evidence. PMID:27245104

  12. Molecular mechanisms underlying progesterone-enhanced breast cancer cell migration.

    Science.gov (United States)

    Wang, Hui-Chen; Lee, Wen-Sen

    2016-01-01

    Progesterone (P4) was demonstrated to inhibit migration in vascular smooth muscle cells (VSMCs), but to enhance migration in T47D breast cancer cells. To investigate the mechanism responsible for this switch in P4 action, we examined the signaling pathway responsible for the P4-induced migration enhancement in breast cancer cell lines, T47D and MCF-7. Here, we demonstrated that P4 activated the cSrc/AKT signaling pathway, subsequently inducing RSK1 activation, which in turn increased phosphorylation of p27 at T198 and formation of the p27pT198-RhoA complex in the cytosol, thereby preventing RhoA degradation, and eventually enhanced migration in T47D cells. These findings were confirmed in the P4-treated MCF-7. Comparing the P4-induced molecular events in between breast cancer cells and VSMCs, we found that P4 increased p27 phosphorylation at T198 in breast cancer cells through RSK1 activation, while P4 increased p27 phosphorlation at Ser10 in VSMCs through KIS activation. P27pT198 formed the complex with RhoA and prevented RhoA degradation in T47D cells, whereas p-p27Ser10 formed the complex with RhoA and caused RhoA degradation in VSMCs. The results of this study highlight the molecular mechanism underlying P4-enhanced breast cancer cell migration, and suggest that RSK1 activation is responsible for the P4-induced migration enhancement in breast cancer cells. PMID:27510838

  13. NOTE: Prostate cancer multi-feature analysis using trans-rectal ultrasound images

    Science.gov (United States)

    Mohamed, S. S.; Salama, M. M. A.; Kamel, M.; El-Saadany, E. F.; Rizkalla, K.; Chin, J.

    2005-08-01

    This note focuses on extracting and analysing prostate texture features from trans-rectal ultrasound (TRUS) images for tissue characterization. One of the principal contributions of this investigation is the use of the information of the images' frequency domain features and spatial domain features to attain a more accurate diagnosis. Each image is divided into regions of interest (ROIs) by the Gabor multi-resolution analysis, a crucial stage, in which segmentation is achieved according to the frequency response of the image pixels. The pixels with a similar response to the same filter are grouped to form one ROI. Next, from each ROI two different statistical feature sets are constructed; the first set includes four grey level dependence matrix (GLDM) features and the second set consists of five grey level difference vector (GLDV) features. These constructed feature sets are then ranked by the mutual information feature selection (MIFS) algorithm. Here, the features that provide the maximum mutual information of each feature and class (cancerous and non-cancerous) and the minimum mutual information of the selected features are chosen, yeilding a reduced feature subset. The two constructed feature sets, GLDM and GLDV, as well as the reduced feature subset, are examined in terms of three different classifiers: the condensed k-nearest neighbour (CNN), the decision tree (DT) and the support vector machine (SVM). The accuracy classification results range from 87.5% to 93.75%, where the performance of the SVM and that of the DT are significantly better than the performance of the CNN.

  14. Prostate cancer multi-feature analysis using trans-rectal ultrasound images

    International Nuclear Information System (INIS)

    This note focuses on extracting and analysing prostate texture features from trans-rectal ultrasound (TRUS) images for tissue characterization. One of the principal contributions of this investigation is the use of the information of the images' frequency domain features and spatial domain features to attain a more accurate diagnosis. Each image is divided into regions of interest (ROIs) by the Gabor multi-resolution analysis, a crucial stage, in which segmentation is achieved according to the frequency response of the image pixels. The pixels with a similar response to the same filter are grouped to form one ROI. Next, from each ROI two different statistical feature sets are constructed; the first set includes four grey level dependence matrix (GLDM) features and the second set consists of five grey level difference vector (GLDV) features. These constructed feature sets are then ranked by the mutual information feature selection (MIFS) algorithm. Here, the features that provide the maximum mutual information of each feature and class (cancerous and non-cancerous) and the minimum mutual information of the selected features are chosen, yeilding a reduced feature subset. The two constructed feature sets, GLDM and GLDV, as well as the reduced feature subset, are examined in terms of three different classifiers: the condensed k-nearest neighbour (CNN), the decision tree (DT) and the support vector machine (SVM). The accuracy classification results range from 87.5% to 93.75%, where the performance of the SVM and that of the DT are significantly better than the performance of the CNN. (note)

  15. Prediction consistency and clinical presentations of breast cancer molecular subtypes for Han Chinese population

    Directory of Open Access Journals (Sweden)

    Huang Chi-Cheng

    2012-09-01

    Full Text Available Abstract Background Breast cancer is a heterogeneous disease in terms of transcriptional aberrations; moreover, microarray gene expression profiles had defined 5 molecular subtypes based on certain intrinsic genes. This study aimed to evaluate the prediction consistency of breast cancer molecular subtypes from 3 distinct intrinsic gene sets (Sørlie 500, Hu 306 and PAM50 as well as clinical presentations of each molecualr subtype in Han Chinese population. Methods In all, 169 breast cancer samples (44 from Taiwan and 125 from China of Han Chinese population were gathered, and the gene expression features corresponding to 3 distinct intrinsic gene sets (Sørlie 500, Hu 306 and PAM50 were retrieved for molecular subtype prediction. Results For Sørlie 500 and Hu 306 intrinsic gene set, mean-centring of genes and distance-weighted discrimination (DWD remarkably reduced the number of unclassified cases. Regarding pairwise agreement, the highest predictive consistency was found between Hu 306 and PAM50. In all, 150 and 126 samples were assigned into identical subtypes by both Hu 306 and PAM50 genes, under mean-centring and DWD. Luminal B tended to show a higher nuclear grade and have more HER2 over-expression status than luminal A did. No basal-like breast tumours were ER positive, and most HER2-enriched breast tumours showed HER2 over-expression, whereas, only two-thirds of ER negativity/HER2 over-expression tumros were predicted as HER2-enriched molecular subtype. For 44 Taiwanese breast cancers with survival data, a better prognosis of luminal A than luminal B subtype in ER-postive breast cancers and a better prognosis of basal-like than HER2-enriched subtype in ER-negative breast cancers was observed. Conclusions We suggest that the intrinsic signature Hu 306 or PAM50 be used for breast cancers in the Han Chinese population during molecular subtyping. For the prognostic value and decision making based on intrinsic subtypes, further prospective

  16. Exploring new quantitative CT image features to improve assessment of lung cancer prognosis

    Science.gov (United States)

    Emaminejad, Nastaran; Qian, Wei; Kang, Yan; Guan, Yubao; Lure, Fleming; Zheng, Bin

    2015-03-01

    Due to the promotion of lung cancer screening, more Stage I non-small-cell lung cancers (NSCLC) are currently detected, which usually have favorable prognosis. However, a high percentage of the patients have cancer recurrence after surgery, which reduces overall survival rate. To achieve optimal efficacy of treating and managing Stage I NSCLC patients, it is important to develop more accurate and reliable biomarkers or tools to predict cancer prognosis. The purpose of this study is to investigate a new quantitative image analysis method to predict the risk of lung cancer recurrence of Stage I NSCLC patients after the lung cancer surgery using the conventional chest computed tomography (CT) images and compare the prediction result with a popular genetic biomarker namely, protein expression of the excision repair cross-complementing 1 (ERCC1) genes. In this study, we developed and tested a new computer-aided detection (CAD) scheme to segment lung tumors and initially compute 35 tumor-related morphologic and texture features from CT images. By applying a machine learning based feature selection method, we identified a set of 8 effective and non-redundant image features. Using these features we trained a naïve Bayesian network based classifier to predict the risk of cancer recurrence. When applying to a test dataset with 79 Stage I NSCLC cases, the computed areas under ROC curves were 0.77±0.06 and 0.63±0.07 when using the quantitative image based classifier and ERCC1, respectively. The study results demonstrated the feasibility of improving accuracy of predicting cancer prognosis or recurrence risk using a CAD-based quantitative image analysis method.

  17. Molecular imaging of prostate cancer: translating molecular biology approaches into the clinical realm

    Energy Technology Data Exchange (ETDEWEB)

    Vargas, Hebert Alberto; Sala, Evis; Hricak, Hedvig [Memorial Sloan Kettering Cancer Center, Department of Radiology, New York, NY (United States); Grimm, Jan [Memorial Sloan Kettering Cancer Center, Department of Radiology, New York, NY (United States); Program in Molecular Pharmacology and Chemistry, Memorial Sloan Kettering Cancer Center, New York (United States); Donati, Olivio F. [Memorial Sloan Kettering Cancer Center, Department of Radiology, New York, NY (United States); University Hospital Zurich, Institute of Diagnostic and Interventional Radiology, Zurich (Switzerland)

    2015-05-01

    The epidemiology of prostate cancer has dramatically changed since the introduction of prostate-specific antigen (PSA) screening in the 1980's. Most prostate cancers today are detected at early stages of the disease and are considered 'indolent'; however, some patients' prostate cancers demonstrate a more aggressive behaviour which leads to rapid progression and death. Increasing understanding of the biology underlying the heterogeneity that characterises this disease has led to a continuously evolving role of imaging in the management of prostate cancer. Functional and metabolic imaging techniques are gaining importance as the impact on the therapeutic paradigm has shifted from structural tumour detection alone to distinguishing patients with indolent tumours that can be managed conservatively (e.g., by active surveillance) from patients with more aggressive tumours that may require definitive treatment with surgery or radiation. In this review, we discuss advanced imaging techniques that allow direct visualisation of molecular interactions relevant to prostate cancer and their potential for translation to the clinical setting in the near future. The potential use of imaging to follow molecular events during drug therapy as well as the use of imaging agents for therapeutic purposes will also be discussed. (orig.)

  18. Appraisal of progenitor markers in the context of molecular classification of breast cancers

    OpenAIRE

    Haviv, Izhak

    2011-01-01

    Clinical management of breast cancer relies on case stratification, which increasingly employs molecular markers. The motivation behind delineating breast epithelial differentiation is to better target cancer cases through innate sensitivities bequeathed to the cancer from its normal progenitor state. A combination of histopathological and molecular classification of breast cancer cases suggests a role for progenitors in particular breast cancer cases. Although a remarkable fraction of the re...

  19. Distinct Clinic-Pathological Features of Early Differentiated-Type Gastric Cancers after Helicobacter pylori Eradication

    Directory of Open Access Journals (Sweden)

    Noriyuki Horiguchi

    2016-01-01

    Full Text Available Background. Gastric cancer is discovered even after successful eradication of H. pylori. We investigated clinic pathological features of early gastric cancers after H. pylori eradication. Methods. 51 early gastric cancers (EGCs from 44 patients diagnosed after successful H. pylori eradication were included as eradication group. The clinic-pathological features were compared with that of 131 EGCs from 120 patients who did not have a history of H. pylori eradication (control group. Results. Compared with control group, clinic-pathological features of eradication group were characterized as depressed (p<0.0001, reddish (p=0.0001, and smaller (p=0.0095 lesions, which was also confirmed in the comparison of six metachronous lesions diagnosed after initial ESD and subsequent successful H. pylori eradication. Prevalence of both SM2 (submucosal invasion greater than 500 μm and unexpected SM2 cases tended to be higher in eradication group (p=0.077, 0.0867, resp.. Prevalence of inconclusive diagnosis of gastric cancer during pretreatment biopsy was also higher in the same group (26.0% versus 1.6%, p<0.0001. Conclusions. Informative clinic pathological features of EGC after H. pylori eradication are depressed, reddish appearances, which should be treated as a caution because histological diagnosis of cancerous tissue is sometimes difficult by endoscopic biopsy.

  20. Distinct Clinic-Pathological Features of Early Differentiated-Type Gastric Cancers after Helicobacter pylori Eradication

    Science.gov (United States)

    Horiguchi, Noriyuki; Tahara, Tomomitsu; Kawamura, Tomohiko; Okubo, Masaaki; Ishizuka, Takamitsu; Nakagawa, Yoshihito; Nagasaka, Mitsuo; Shibata, Tomoyuki; Ohmiya, Naoki

    2016-01-01

    Background. Gastric cancer is discovered even after successful eradication of H. pylori. We investigated clinic pathological features of early gastric cancers after H. pylori eradication. Methods. 51 early gastric cancers (EGCs) from 44 patients diagnosed after successful H. pylori eradication were included as eradication group. The clinic-pathological features were compared with that of 131 EGCs from 120 patients who did not have a history of H. pylori eradication (control group). Results. Compared with control group, clinic-pathological features of eradication group were characterized as depressed (p < 0.0001), reddish (p = 0.0001), and smaller (p = 0.0095) lesions, which was also confirmed in the comparison of six metachronous lesions diagnosed after initial ESD and subsequent successful H. pylori eradication. Prevalence of both SM2 (submucosal invasion greater than 500 μm) and unexpected SM2 cases tended to be higher in eradication group (p = 0.077, 0.0867, resp.). Prevalence of inconclusive diagnosis of gastric cancer during pretreatment biopsy was also higher in the same group (26.0% versus 1.6%, p < 0.0001). Conclusions. Informative clinic pathological features of EGC after H. pylori eradication are depressed, reddish appearances, which should be treated as a caution because histological diagnosis of cancerous tissue is sometimes difficult by endoscopic biopsy. PMID:27212944

  1. Xenogeneic homologous genes, molecular evolution and cancer therapy

    Institute of Scientific and Technical Information of China (English)

    田聆; 魏于全

    2001-01-01

    Cancer is one of the main causes for death of human beings to date, and cancer biotherapy (mainlyimmunotherapy and gene therapy) has become the most promising approach after surgical therapy, radiotherapy andchemotherapy. However, there are still many limitations on cancer immunotherapy and gene therapy; therefore great ef-fort is being made to develop new strategies. It has been known that, in the process of evolution, a number of genes, theso-called xenogeneic homologous genes, are well-conserved and show the structural and/or functional similarity betweenvarious species to some degree. The nucleotide changes between various xenogeneic homologous genes are derived frommutation, and most of them are neutral mutations. Considering that the subtle differences in xenogeneic homologousgenes can break immune tolerance, enhance the immunogenicity and induce autologous immune response so as to elimi-nate tumor cells, we expect that a strategy of inducing autoimmune response using the property of xenogeneic homologousgenes will become a new therapy for cancer. Moreover, this therapy can also be used in the treatment of other diseases,such as autoimmune diseases and AIDS. This article will discuss the xenogeneic homologous genes, molecular evolutionand cancer therapy.

  2. Molecular targets of cancer chemoprevention by garlic-derived organosulfides

    Institute of Scientific and Technical Information of China (English)

    Anna HERMAN-ANTOSIEWICZ; Anna A POWOLNY; Shivendra V SINGH

    2007-01-01

    The medicinal benefits of Allium vegetables, especially garlic, have been noted throughout recorded history. The known health benefits of Allium vegetables and their constituents include cardiovascular protective effects, stimulation of immune function, reduction of blood glucose level, radioprotection, improvement of memory loss, protection against microbial, viral and fungal infections, as well as anticancer effects. Population-based case control studies have suggested an inverse correlation between dietary intake of Allium vegetables and the risk of different types of cancers. The anticarcinogenic effect of Allium vegetables in-eluding garlic is attributed to organosulfur compounds (OSC), which are highly effective in affording protection against cancer in animal models induced by a variety of chemical carcinogens. More recent studies have shown that certain naturally occurring OSC analogues can suppress proliferation of cancer cells in culture and in vivo. The OSC-induced changes in the proliferation of cancer Cellsare frequently associated with perturbations in cell cycle progression and induc-tion of G2/M phase arrest. The OSC have also been demonstrated to induce apoptosis via the intrinsic pathway by altering the ratio of the Bc1-2 family of proteins both in cell culture and in in vivo models. Anti-angiogenic activity for garlic-derived OSC has also been documented. This article summarizes current knowledge on molecular targets of cancer chemoprevention by OSC.

  3. Molecular profiling of indolent human prostate cancer:tackling technical challenges to achieve high-fidelity genome-wide data

    Institute of Scientific and Technical Information of China (English)

    Thomas A. Dunn; Helen L. Fedor; Angelo M. De Marzo; Jun Luo

    2012-01-01

    The contemporary problem of prostate cancer overtreatment can be partially attributed to the diagnosis of potentially indolent prostate cancers that pose low risk to aged men,and lack of sufficiently accurate risk stratification methods to reliably seek out men with indolent diseases.Since progressive acquisition and accumulation of genomic alterations,both genetic and epigenetic,is a defining feature of all human cancers at different stages of disease progression,it is hypothesized that RNA and DNA alterations characteristic of indolent prostate tumors may be different from those previously characterized in the setting of clinically significant prostate cancer.Approaches capable of detecting such alterations on a genome-wide level are the most promising.Such analysis may uncover molecular events defining early initiating stages along the natural history of prostate cancer progression,and ultimately lead to rational development of risk stratification methods for identification of men who can safely forego treatment.However,defining and characterizing indolent prostate cancer in a clinically relevant context remains a challenge,particularly when genome-wide approaches are employed to profile formalin-fixed paraffin-embedded (FFPE) tissue specimens.Here,we provide the conceptual basis underlying the importance of understanding indolent prostate cancer from molecular profiling studies,identify the key hurdles in sample acquisition and variables that affect molecular data derived from FFPE tissues,and highlight recent progresses in efforts to address these technical challenges.

  4. Mass spectrometry-based serum proteome pattern analysis in molecular diagnostics of early stage breast cancer

    Directory of Open Access Journals (Sweden)

    Stobiecki Maciej

    2009-07-01

    Full Text Available Abstract Background Mass spectrometric analysis of the blood proteome is an emerging method of clinical proteomics. The approach exploiting multi-protein/peptide sets (fingerprints detected by mass spectrometry that reflect overall features of a specimen's proteome, termed proteome pattern analysis, have been already shown in several studies to have applicability in cancer diagnostics. We aimed to identify serum proteome patterns specific for early stage breast cancer patients using MALDI-ToF mass spectrometry. Methods Blood samples were collected before the start of therapy in a group of 92 patients diagnosed at stages I and II of the disease, and in a group of age-matched healthy controls (104 women. Serum specimens were purified and the low-molecular-weight proteome fraction was examined using MALDI-ToF mass spectrometry after removal of albumin and other high-molecular-weight serum proteins. Protein ions registered in a mass range between 2,000 and 10,000 Da were analyzed using a new bioinformatic tool created in our group, which included modeling spectra as a sum of Gaussian bell-shaped curves. Results We have identified features of serum proteome patterns that were significantly different between blood samples of healthy individuals and early stage breast cancer patients. The classifier built of three spectral components that differentiated controls and cancer patients had 83% sensitivity and 85% specificity. Spectral components (i.e., protein ions that were the most frequent in such classifiers had approximate m/z values of 2303, 2866 and 3579 Da (a biomarker built from these three components showed 88% sensitivity and 78% specificity. Of note, we did not find a significant correlation between features of serum proteome patterns and established prognostic or predictive factors like tumor size, nodal involvement, histopathological grade, estrogen and progesterone receptor expression. In addition, we observed a significantly (p = 0

  5. Multifunctional nanomaterials for advanced molecular imaging and cancer therapy

    Science.gov (United States)

    Subramaniam, Prasad

    Nanotechnology offers tremendous potential for use in biomedical applications, including cancer and stem cell imaging, disease diagnosis and drug delivery. The development of nanosystems has aided in understanding the molecular mechanisms of many diseases and permitted the controlled nanoscale manipulation of biological phenomena. In recent years, many studies have focused on the use of several kinds of nanomaterials for cancer and stem cell imaging and also for the delivery of anticancer therapeutics to tumor cells. However, the proper diagnosis and treatment of aggressive tumors such as brain and breast cancer requires highly sensitive diagnostic agents, in addition to the ability to deliver multiple therapeutics using a single platform to the target cells. Addressing these challenges, novel multifunctional nanomaterial-based platforms that incorporate multiple therapeutic and diagnostic agents, with superior molecular imaging and targeting capabilities, has been presented in this work. The initial part of this work presents the development of novel nanomaterials with superior optical properties for efficiently delivering soluble cues such as small interfering RNA (siRNA) into brain cancer cells with minimal toxicity. Specifically, this section details the development of non-toxic quantums dots for the imaging and delivery of siRNA into brain cancer and mesenchymal stem cells, with the hope of using these quantum dots as multiplexed imaging and delivery vehicles. The use of these quantum dots could overcome the toxicity issues associated with the use of conventional quantum dots, enabled the imaging of brain cancer and stem cells with high efficiency and allowed for the delivery of siRNA to knockdown the target oncogene in brain cancer cells. The latter part of this thesis details the development of nanomaterial-based drug delivery platforms for the co-delivery of multiple anticancer drugs to brain tumor cells. In particular, this part of the thesis focuses on

  6. The pathology of familial breast cancer: Immunohistochemistry and molecular analysis

    International Nuclear Information System (INIS)

    Extensive studies of BRCA1- and BRCA2-associated breast tumours have been carried out in the few years since the identification of these familial breast cancer predisposing genes. The morphological studies suggest that BRCA1 tumours differ from BRCA2 tumours and from sporadic breast cancers. Recent progress in immunohistochemistry and molecular biology techniques has enabled in-depth investigation of molecular pathology of these tumours. Studies to date have investigated issues such as steroid hormone receptor expression, mutation status of tumour suppressor genes TP53 and c-erbB2, and expression profiles of cell cycle proteins p21, p27 and cyclin D1. Despite relative paucity of data, strong evidence of unique biological characteristics of BRCA1-associated breast cancer is accumulating. BRCA1-associated tumours appear to show an increased frequency of TP53 mutations, frequent p53 protein stabilization and absence of imunoreactivity for steroid hormone receptors. Further studies of larger number of samples of both BRCA1- and BRCA2-associated tumours are necessary to clarify and confirm these observations

  7. Imaging feature changes of rats with implanted liver cancer after electrochemotherapy

    International Nuclear Information System (INIS)

    Objective: To study the changes of imaging features of rats with implanted liver cancer before and after electrochemotherapy (EChT). Methods: Immediate cancerous ascites injection method was used to form rats liver cancer model. The imaging features of rats with implanted liver cancer, including tumor size, density, border, enhancement and signal were observed with CT and MRI respectively. Results: The characteristic imagings showed all these rats bearing single, round tumor in liver seven days later. Low density lesions were seen in pre-contrast scans and tumor border intensification were seen on contrast scans. Low signal lesions were found in MRI T1WI and high signal lesions were revealed on MRI T2WI. Seven days after EchT, low density lesions were seen in pre-contrast scan and non-enhanced appearances were seen in contrast scan by CT. High signal and mixed signal lesion were seen in MRI T1WI and relative low signal lesion were seen in MRI T2WI. Conclusions: Imaging features analysis is useful to assess the therapeutic effect on rats with implanted liver cancer before and after EChT

  8. Pharmacophore modeling and molecular dynamics simulation to identify the critical chemical features against human sirtuin 2 inhibitors

    Science.gov (United States)

    Sakkiah, Sugunadevi; Baek, Ayoung; Lee, Keun Woo

    2012-03-01

    Sirtuin 2 (SIRT2) is one of the emerging targets in chemotherapy field and mainly associated with many diseases such as cancer and Parkinson's. Hence, quantitative hypothesis was developed using Discovery Studio v2.5. Top ten resultant hypotheses were generated, among them Hypo1 was selected as a best hypothesis based on the statistical parameters like high cost difference (52), lowest RMS (0.71), and good correlation coefficient (0.96). Hypo1 has been validated by using well known methodologies such as Fischer's randomization method (95% confidence level), test set which has shown the correlation coefficient of 0.93 as well as the goodness of hit (0.65), and enrichment factor (8.80). All the above statistical validations confirm that the chemical features in Hypo1 (1 hydrogen bond acceptor, 1 hydrophobic, and 2 ring aromatic features) was able to inhibit the function of SIRT2. Hence, Hypo1 was used as a query in virtual screening to find a novel scaffolds by screening the various chemical databases. The screened molecules from the databases were checked for the ADMET as well as the drug-like properties. Due to the lack of SIRT2-ligand complex structure in PDB, molecular docking and molecular dynamics (MD) simulation was carried out to find the suitable orientation of ligand in the active site. The representative structure from MD simulations was used as a receptor to dock the molecules which passed the drug-like properties from the virtual screening. Finally, 29 compounds were selected as a potent candidate leads based on the interactions with the active site residues of SIRT2. Thus, the resultant pharmacophore can be used to discover and design the SIRT2 inhibitors with desired biological activity.

  9. Detection of EML4-ALK fusion gene and features associated with EGFR mutations in Chinese patients with non-small-cell lung cancer

    OpenAIRE

    Wen MM; Wang XJ; Sun Y; Xia JH; Fan LB; Xing H; Zhang ZP; Li XF

    2016-01-01

    Miaomiao Wen, Xuejiao Wang, Ying Sun, Jinghua Xia, Liangbo Fan, Hao Xing, Zhipei Zhang, Xiaofei Li Department of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi’an, Shaanxi, People’s Republic of China Purpose: Echinoderm microtubule-associated protein-like 4–anaplastic lymphoma kinase (EML4-ALK) and epidermal growth factor receptor (EGFR) define specific molecular subsets of lung cancer with distinct clinical features. We aimed at revealing th...

  10. Molecular biology of testicular germ cell tumors: unique features awaiting clinical application.

    Science.gov (United States)

    Boublikova, Ludmila; Buchler, Tomas; Stary, Jan; Abrahamova, Jitka; Trka, Jan

    2014-03-01

    Testicular germ cell tumors (TGCTs) are the most common solid tumors in young adult men characterized by distinct biologic features and clinical behavior. Both genetic predispositions and environmental factors probably play a substantial role in their etiology. TGTCs arise from a malignant transformation of primordial germ cells in a process that starts prenatally, is often associated with a certain degree of gonadal dysgenesis, and involves the acquirement of several specific aberrations, including activation of SCF-CKIT, amplification of 12p with up-regulation of stem cell genes, and subsequent genetic and epigenetic alterations. Their embryonic and germ origin determines the unique sensitivity of TGCTs to platinum-based chemotherapy. Contrary to the vast majority of other malignancies, no molecular prognostic/predictive factors nor targeted therapy is available for patients with these tumors. This review summarizes the principal molecular characteristics of TGCTs that could represent a potential basis for development of novel diagnostic and treatment approaches. PMID:24182421

  11. Cuckoo search optimisation for feature selection in cancer classification: a new approach.

    Science.gov (United States)

    Gunavathi, C; Premalatha, K

    2015-01-01

    Cuckoo Search (CS) optimisation algorithm is used for feature selection in cancer classification using microarray gene expression data. Since the gene expression data has thousands of genes and a small number of samples, feature selection methods can be used for the selection of informative genes to improve the classification accuracy. Initially, the genes are ranked based on T-statistics, Signal-to-Noise Ratio (SNR) and F-statistics values. The CS is used to find the informative genes from the top-m ranked genes. The classification accuracy of k-Nearest Neighbour (kNN) technique is used as the fitness function for CS. The proposed method is experimented and analysed with ten different cancer gene expression datasets. The results show that the CS gives 100% average accuracy for DLBCL Harvard, Lung Michigan, Ovarian Cancer, AML-ALL and Lung Harvard2 datasets and it outperforms the existing techniques in DLBCL outcome and prostate datasets. PMID:26547979

  12. Combining targeted drugs to overcome and prevent resistance of solid cancers with some stem-like cell features

    OpenAIRE

    Jokinen, Elina; Laurila, Niina; Koivunen, Peppi; Koivunen, Jussi P

    2014-01-01

    Treatment resistance significantly inhibits the efficiency of targeted cancer therapies in drug-sensitive genotypes. In the current work, we studied mechanisms for rapidly occurring, adaptive resistance in targeted therapy-sensitive lung, breast, and melanoma cancer cell lines. The results show that in ALK translocated lung cancer lines H3122 and H2228, cells with cancer stem-like cell features characterized by high expression of cancer stem cell markers and/or in vivo tumorigenesis can media...

  13. Curcumin effectively inhibits oncogenic NF-kB signaling and restrains stemness features in liver cancer

    DEFF Research Database (Denmark)

    Marquardt, Jens U; Gomez-Quiroz, Luis; Arreguin Camacho, Lucrecia O;

    2015-01-01

    BACKGROUND & AIMS: The cancer stem cells (CSCs) have important therapeutic implications for multi-resistant cancers including hepatocellular carcinoma (HCC). Among the key pathways frequently activated in liver CSCs is NF-kB signaling. METHODS: We evaluated the CSCs-depleting potential of NF......-kB inhibition in liver cancer achieved by the IKK inhibitor curcumin, RNAi and specific peptide SN50. The effects on CSCs were assessed by analysis of Side Population (SP), sphere formation and tumorigenicity. Molecular changes were determined by RT-qPCR, global gene expression microarray, EMSA, and Western...... inhibition of NF-kB and HDAC signaling for treatment of liver cancer patients with poor prognosis....

  14. Observations of the interstellar ice grain feature in the Taurus molecular clouds

    Energy Technology Data Exchange (ETDEWEB)

    Whittet, D.C.B.; Bode, H.F.; Longmore, A.J.; Baines, D.W.T.; Evans, A.

    1983-01-01

    Although water ice was originally proposed as a major constituent of the interstellar grain population (e.g. Oort and van de Hulst, 1946), the advent of infrared astronomy has shown that the expected absorption due to O-H stretching vibrations at 3 ..mu..m is illusive. Observations have in fact revealed that the carrier of this feature is apparently restricted to regions deep within dense molecular clouds (Merrill et al., 1976; Willner et al., 1982). However, the exact carrier of this feature is still controversial, and many questions remain as to the conditions required for its appearance. It is also uncertain whether it is restricted to circumstellar shells, rather than the general cloud medium. Detailed discussion of the 3 ..mu..m band properties is given elsewhere in this volume. 15 references, 4 figures.

  15. Molecular Link between Vitamin D and Cancer Prevention

    Directory of Open Access Journals (Sweden)

    William B. Grant

    2013-09-01

    Full Text Available The metabolite of vitamin D, 1α,25-dihydroxyvitamin D3 (also known as calcitriol, is a biologically active molecule required to maintain the physiological functions of several target tissues in the human body from conception to adulthood. Its molecular mode of action ranges from immediate nongenomic responses to longer term mechanisms that exert persistent genomic effects. The genomic mechanisms of vitamin D action rely on cross talk between 1α,25-dihydroxyvitamin D3 signaling pathways and that of other growth factors or hormones that collectively regulate cell proliferation, differentiation and cell survival. In vitro and in vivo studies demonstrate a role for vitamin D (calcitriol in modulating cellular growth and development. Vitamin D (calcitriol acts as an antiproliferative agent in many tissues and significantly slows malignant cellular growth. Moreover, epidemiological studies have suggested that ultraviolet-B exposure can help reduce cancer risk and prevalence, indicating a potential role for vitamin D as a feasible agent to prevent cancer incidence and recurrence. With the preventive potential of this biologically active agent, we suggest that countries where cancer is on the rise—yet where sunlight and, hence, vitamin D may be easily acquired—adopt awareness, education and implementation strategies to increase supplementation with vitamin D in all age groups as a preventive measure to reduce cancer risk and prevalence.

  16. Molecular Endoscopic Ultrasound for Diagnosis of Pancreatic Cancer

    International Nuclear Information System (INIS)

    Endoscopic ultrasound-guided fine needle aspiration-biopsy is a safe and effective technique in diagnosing and staging of pancreatic ductal adenocarcinoma. However its predictive negative value does not exceed 50% to 60%. Unfortunately, the majority of pancreatic cancer patients have a metastatic and/or a locally advanced disease (i.e., not eligible for curative resection) which explains the limited access to pancreatic tissue specimens. Endoscopic ultrasound-guided fine needle aspiration-biopsy is the most widely used approach for cytological and histological material sampling in these situations used in up to two thirds of patients with pancreatic cancer. Based on this unique material, we and others developed strategies to improve the differential diagnosis between carcinoma and inflammatory pancreatic lesions by analysis of KRAS oncogene mutation, microRNA expression and methylation, as well as mRNA expression using both qRT-PCR and Low Density Array Taqman analysis. Indeed, differentiating pancreatic cancer from pseudotumoral chronic pancreatitis remains very difficult in current clinical practice, and endoscopic ultrasound-guided fine needle aspiration-biopsy analysis proved to be very helpful. In this review, we will compile the clinical and molecular advantages of using endoscopic ultrasound-guided fine needle aspiration-biopsy in managing pancreatic cancer

  17. Molecular Endoscopic Ultrasound for Diagnosis of Pancreatic Cancer

    Directory of Open Access Journals (Sweden)

    Pierre Cordelier

    2011-02-01

    Full Text Available Endoscopic ultrasound-guided fine needle aspiration-biopsy is a safe and effective technique in diagnosing and staging of pancreatic ductal adenocarcinoma. However its predictive negative value does not exceed 50% to 60%. Unfortunately, the majority of pancreatic cancer patients have a metastatic and/or a locally advanced disease (i.e., not eligible for curative resection which explains the limited access to pancreatic tissue specimens. Endoscopic ultrasound-guided fine needle aspiration-biopsy is the most widely used approach for cytological and histological material sampling in these situations used in up to two thirds of patients with pancreatic cancer. Based on this unique material, we and others developed strategies to improve the differential diagnosis between carcinoma and inflammatory pancreatic lesions by analysis of KRAS oncogene mutation, microRNA expression and methylation, as well as mRNA expression using both qRT-PCR and Low Density Array Taqman analysis. Indeed, differentiating pancreatic cancer from pseudotumoral chronic pancreatitis remains very difficult in current clinical practice, and endoscopic ultrasound-guided fine needle aspiration-biopsy analysis proved to be very helpful. In this review, we will compile the clinical and molecular advantages of using endoscopic ultrasound-guided fine needle aspiration-biopsy in managing pancreatic cancer.

  18. Molecular Endoscopic Ultrasound for Diagnosis of Pancreatic Cancer

    Energy Technology Data Exchange (ETDEWEB)

    Bournet, Barbara [Department of Gastroenterology, University Hospital Center Rangueil, 1 avenue Jean Poulhès, TSA 50032, 31059 Toulouse Cedex 9 (France); INSERM U1037, University Hospital Center Rangueil, Toulouse (France); Pointreau, Adeline; Delpu, Yannick; Selves, Janick; Torrisani, Jerome [INSERM U1037, University Hospital Center Rangueil, Toulouse (France); Buscail, Louis, E-mail: buscail.l@chu-toulouse.fr [Department of Gastroenterology, University Hospital Center Rangueil, 1 avenue Jean Poulhès, TSA 50032, 31059 Toulouse Cedex 9 (France); INSERM U1037, University Hospital Center Rangueil, Toulouse (France); Cordelier, Pierre [INSERM U1037, University Hospital Center Rangueil, Toulouse (France)

    2011-02-24

    Endoscopic ultrasound-guided fine needle aspiration-biopsy is a safe and effective technique in diagnosing and staging of pancreatic ductal adenocarcinoma. However its predictive negative value does not exceed 50% to 60%. Unfortunately, the majority of pancreatic cancer patients have a metastatic and/or a locally advanced disease (i.e., not eligible for curative resection) which explains the limited access to pancreatic tissue specimens. Endoscopic ultrasound-guided fine needle aspiration-biopsy is the most widely used approach for cytological and histological material sampling in these situations used in up to two thirds of patients with pancreatic cancer. Based on this unique material, we and others developed strategies to improve the differential diagnosis between carcinoma and inflammatory pancreatic lesions by analysis of KRAS oncogene mutation, microRNA expression and methylation, as well as mRNA expression using both qRT-PCR and Low Density Array Taqman analysis. Indeed, differentiating pancreatic cancer from pseudotumoral chronic pancreatitis remains very difficult in current clinical practice, and endoscopic ultrasound-guided fine needle aspiration-biopsy analysis proved to be very helpful. In this review, we will compile the clinical and molecular advantages of using endoscopic ultrasound-guided fine needle aspiration-biopsy in managing pancreatic cancer.

  19. Molecular mechanisms of pharmacological doses of ascorbate on cancer cells.

    Science.gov (United States)

    Venturelli, Sascha; Sinnberg, Tobias W; Niessner, Heike; Busch, Christian

    2015-06-01

    Intravenous application of high-dose ascorbate (vitamin C) has been used in complementary medicine since the 1970s to treat cancer patients. In recent years it became evident that high-dose ascorbate in the millimolar range bears selective cytotoxic effects on cancer cells in vitro and in vivo. This anticancer effect is dose dependent, catalyzed by serum components and mediated by reactive oxygen species and ascorbyl radicals, making ascorbate a pro-oxidative pro-drug that catalyzes hydrogen peroxide production in tissues instead of acting as a radical scavenger. It further depends on HIF-1 signaling and oxygen pressure, and shows a strong epigenetic signature (alteration of DNA-methylation and induction of tumor-suppressing microRNAs in cancer cells). The detailed understanding of ascorbate-induced antiproliferative molecular mechanisms warrants in-depth preclinical evaluation in cancer-bearing animal models for the optimization of an efficacious therapy regimen (e.g., combination with hyperbaric oxygen or O2-sensitizers) that subsequently need to be evaluated in clinical trials. PMID:26065536

  20. Pancreatic Cancer Gene Therapy: From Molecular Targets to Delivery Systems

    Energy Technology Data Exchange (ETDEWEB)

    Fillat, Cristina, E-mail: cristina.fillat@crg.es; Jose, Anabel; Ros, Xavier Bofill-De; Mato-Berciano, Ana; Maliandi, Maria Victoria; Sobrevals, Luciano [Programa Gens i Malaltia, Centre de Regulació Genòmica-CRG, UPF, Parc de Recerca Biomedica de Barcelona-PRBB and Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona (Spain)

    2011-01-18

    The continuous identification of molecular changes deregulating critical pathways in pancreatic tumor cells provides us with a large number of novel candidates to engineer gene-targeted approaches for pancreatic cancer treatment. Targets—both protein coding and non-coding—are being exploited in gene therapy to influence the deregulated pathways to facilitate cytotoxicity, enhance the immune response or sensitize to current treatments. Delivery vehicles based on viral or non-viral systems as well as cellular vectors with tumor homing characteristics are a critical part of the design of gene therapy strategies. The different behavior of tumoral versus non-tumoral cells inspires vector engineering with the generation of tumor selective products that can prevent potential toxic-associated effects. In the current review, a detailed analysis of the different targets, the delivery vectors, the preclinical approaches and a descriptive update on the conducted clinical trials are presented. Moreover, future possibilities in pancreatic cancer treatment by gene therapy strategies are discussed.

  1. Pancreatic Cancer Gene Therapy: From Molecular Targets to Delivery Systems

    International Nuclear Information System (INIS)

    The continuous identification of molecular changes deregulating critical pathways in pancreatic tumor cells provides us with a large number of novel candidates to engineer gene-targeted approaches for pancreatic cancer treatment. Targets—both protein coding and non-coding—are being exploited in gene therapy to influence the deregulated pathways to facilitate cytotoxicity, enhance the immune response or sensitize to current treatments. Delivery vehicles based on viral or non-viral systems as well as cellular vectors with tumor homing characteristics are a critical part of the design of gene therapy strategies. The different behavior of tumoral versus non-tumoral cells inspires vector engineering with the generation of tumor selective products that can prevent potential toxic-associated effects. In the current review, a detailed analysis of the different targets, the delivery vectors, the preclinical approaches and a descriptive update on the conducted clinical trials are presented. Moreover, future possibilities in pancreatic cancer treatment by gene therapy strategies are discussed

  2. Molecular Markers of Lung Cancer in MAYAK Workers

    Energy Technology Data Exchange (ETDEWEB)

    Steven A. Belinsky, PhD

    2007-02-15

    The molecular mechanisms that result in the elevated risk for lung cancer associated with exposure to radiation have not been well characterized. Workers from the MAYAK nuclear enterprise are an ideal cohort in which to study the molecular epidemiology of cancer associated with radiation exposure and to identify the genes targeted for inactivation that in turn affect individual risk for radiation-induced lung cancer. Epidemiology studies of the MAYAK cohort indicate a significantly higher frequency for adenocarcinoma and squamous cell carcinoma (SCC) in workers than in a control population and a strong correlation between these tumor types and plutonium exposure. Two hypotheses will be evaluated through the proposed studies. First, radiation exposure targets specific genes for inactivation by promoter methylation. This hypothesis is supported by our recent studies with the MAYAK population that demonstrated the targeting of the p16 gene for inactivation by promoter methylation in adenocarcinomas from workers (1). Second, genes inactivated in tumors can serve as biomarkers for lung cancer risk in a cancer-free population of workers exposed to plutonium. Support for this hypothesis is based on exciting preliminary results of our nested, case-control study of persons from the Colorado cohort. In that study, a panel of methylation markers for predicting lung cancer risk is being evaluated in sputum samples from incident lung cancer cases and controls. The first hypothesis will be tested by determining the prevalence for promoter hypermethylation of a panel of genes shown to play a critical role in the development of either adenocarcinoma and/or SCC associated with tobacco. Our initial studies on adenocarcinoma in MAYAK workers will be extended to evaluate methylation of the PAX5 {alpha}, PAX5 {beta}, H-cadherin, GATA5, and bone morphogenesis 3B (BMP3B) genes in the original sample set described under Preliminary studies. In addition, studies will be initiated in SCC

  3. Analysis of the Clinicopathologic Features and Prognosis in Triple-Negative Breast Cancer

    Institute of Scientific and Technical Information of China (English)

    Dehong Yang; Hong Liu; Jing Zhao

    2008-01-01

    OBJECTIVE To investigate the clinical and pathological features,as well as prognosis in triple-negative breast cancer patients.METHODS A total of 509 cases of operable breast cancer from January,2002 to June,2002 treated in the Cancer Hospital of Tianjin Medical University were analyzed.The Her-2,ER and PR status was determined using immunohistochemistry.Of the total cases,one group was identified as triple negative breast cancer,ie defined as ER,PR and Her-2 negative.The other group was nontriple-negative breast cancer.Clinicopathologic features of the groups were compared and 5-year disease-free survival (DFS)analyzed by the Kaplan-Meier method.RESULTS Of the total cases,21.4% (109/509) of cases were found to be triple- negative while 78.6% (400/509) were non-triplenegative.The triple negative group had higher incidence rates than the non-triple-negative group of the medullary type and Grade Ⅲ tumors (P < 0.05).There was no other difference in the clinicopathologic features between the 2 groups.From follow-up to June,2007,21.1% (23/109) of the triple-negative group and 12.7%(51/400) of the non-triple negative group had a local recurrence or distant metastasis,resulting in a significant difference (P < 0.05).In the triple-negative group and non-triple-negative group,5-year DFS were 78.9% and 87.3% respectively.There was a statistically significant difference between the 2 groups (P = 0.031).CONCLUSION Compared with non-triple-negative breast cancer,triple-negative breast cancer patients have an increased likehood of a local recurrence or distant metastasis and a poorer prognosis.

  4. Ensemble based system for whole-slide prostate cancer probability mapping using color texture features.

    LENUS (Irish Health Repository)

    DiFranco, Matthew D

    2011-01-01

    We present a tile-based approach for producing clinically relevant probability maps of prostatic carcinoma in histological sections from radical prostatectomy. Our methodology incorporates ensemble learning for feature selection and classification on expert-annotated images. Random forest feature selection performed over varying training sets provides a subset of generalized CIEL*a*b* co-occurrence texture features, while sample selection strategies with minimal constraints reduce training data requirements to achieve reliable results. Ensembles of classifiers are built using expert-annotated tiles from training images, and scores for the probability of cancer presence are calculated from the responses of each classifier in the ensemble. Spatial filtering of tile-based texture features prior to classification results in increased heat-map coherence as well as AUC values of 95% using ensembles of either random forests or support vector machines. Our approach is designed for adaptation to different imaging modalities, image features, and histological decision domains.

  5. Comparative Analysis of Feature Extraction Methods for the Classification of Prostate Cancer from TRUS Medical Images

    Directory of Open Access Journals (Sweden)

    Manavalan Radhakrishnan

    2012-01-01

    Full Text Available Diagnosing Prostate cancer is a challenging task for Urologists, Radiologists, and Oncologists. Ultrasound imaging is one of the hopeful techniques used for early detection of prostate cancer. The Region of interest (ROI is identified by different methods after preprocessing. In this paper, DBSCAN clustering with morphological operators is used to extort the prostate region. The evaluation of texture features is important for several image processing applications. The performance of the features extracted from the various texture methods such as histogram, Gray Level Cooccurrence Matrix (GLCM, Gray-Level Run-Length Matrix (GRLM, are analyzed separately. In this paper, it is proposed to combine histogram, GLRLM and GLCM in order to study the performance. The Support Vector Machine (SVM is adopted to classify the extracted features into benign or malignant. The performance of texture methods are evaluated using various statistical parameters such as sensitivity, specificity and accuracy. The comparative analysis has been performed over 5500 digitized TRUS images of prostate.

  6. Efficient molecular subtype classification of high-grade serous ovarian cancer.

    Science.gov (United States)

    Leong, Huei San; Galletta, Laura; Etemadmoghadam, Dariush; George, Joshy; Köbel, Martin; Ramus, Susan J; Bowtell, David

    2015-07-01

    High-grade serous carcinomas (HGSCs) account for approximately 70% of all epithelial ovarian cancers diagnosed. Using microarray gene expression profiling, we previously identified four molecular subtypes of HGSC: C1 (mesenchymal), C2 (immunoreactive), C4 (differentiated), and C5 (proliferative), which correlate with patient survival and have distinct biological features. Here, we describe molecular classification of HGSC based on a limited number of genes to allow cost-effective and high-throughput subtype analysis. We determined a minimal signature for accurate classification, including 39 differentially expressed and nine control genes from microarray experiments. Taqman-based (low-density arrays and Fluidigm), fluorescent oligonucleotides (Nanostring), and targeted RNA sequencing (Illumina) assays were then compared for their ability to correctly classify fresh and formalin-fixed, paraffin-embedded samples. All platforms achieved > 90% classification accuracy with RNA from fresh frozen samples. The Illumina and Nanostring assays were superior with fixed material. We found that the C1, C2, and C4 molecular subtypes were largely consistent across multiple surgical deposits from individual chemo-naive patients. In contrast, we observed substantial subtype heterogeneity in patients whose primary ovarian sample was classified as C5. The development of an efficient molecular classifier of HGSC should enable further biological characterization of molecular subtypes and the development of targeted clinical trials. PMID:25810134

  7. Molecular markers in breast cancer: new tools in imaging and prognosis

    OpenAIRE

    Vermeulen, J.F.

    2012-01-01

    Breast cancer is the most frequently diagnosed cancer in women. Although breast cancer is mainly diagnosed by mammography, other imaging modalities (e.g. MRI, PET) are increasingly used. The most recent developments in the field of molecular imaging comprise the application of near-infrared fluorescent labeled (NIRF) tracers for detection of breast cancer. Thus far, only a few molecular imaging tracers have been taken to the clinic of which most are suitable for PET. My thesis describes the e...

  8. Molecular profiles of screen detected vs. symptomatic breast cancer and their impact on survival: results from a clinical series

    International Nuclear Information System (INIS)

    Stage shift is widely considered a major determinant of the survival benefit conferred by breast cancer screening. However, factors and mechanisms underlying such a prognostic advantage need further clarification. We sought to compare the molecular characteristics of screen detected vs. symptomatic breast cancers and assess whether differences in tumour biology might translate into survival benefit. In a clinical series of 448 women with operable breast cancer, the Kaplan-Meier method and the log-rank test were used to estimate the likelihood of cancer recurrence and death. The Cox proportional hazard model was used for the multivariate analyses including mode of detection, age at diagnosis, tumour size, and lymph node status. These same models were applied to subgroups defined by molecular subtypes. Screen detected breast cancers tended to show more favourable clinicopathological features and survival outcomes compared to symptomatic cancers. The luminal A subtype was more common in women with mammography detected tumours than in symptomatic patients (68.5 vs. 59.0%, p=0.04). Data analysis across categories of molecular subtypes revealed significantly longer disease free and overall survival for screen detected cancers with a luminal A subtype only (p=0.01 and 0.02, respectively). For women with a luminal A subtype, the independent prognostic role of mode of detection on recurrence was confirmed in Cox proportional hazard models (p=0.03). An independent role of modality of detection on survival was also suggested (p=0.05). Molecular subtypes did not substantially explain the differences in survival outcomes between screened and symptomatic patients. However, our results suggest that molecular profiles might play a role in interpreting such differences at least partially. Further studies are warranted to reinterpret the efficacy of screening programmes in the light of tumour biology

  9. Cancer Basics

    Science.gov (United States)

    ... Cancer? Breast Cancer Colon/Rectum Cancer Lung Cancer Prostate Cancer Skin Cancer Show All Cancer Types News and Features Cancer Glossary ACS Bookstore Cancer Information Cancer Basics Cancer Prevention & Detection Signs & Symptoms of Cancer Treatments & Side Effects ...

  10. Gene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer.

    Science.gov (United States)

    Budinska, Eva; Popovici, Vlad; Tejpar, Sabine; D'Ario, Giovanni; Lapique, Nicolas; Sikora, Katarzyna Otylia; Di Narzo, Antonio Fabio; Yan, Pu; Hodgson, John Graeme; Weinrich, Scott; Bosman, Fred; Roth, Arnaud; Delorenzi, Mauro

    2013-09-01

    The recognition that colorectal cancer (CRC) is a heterogeneous disease in terms of clinical behaviour and response to therapy translates into an urgent need for robust molecular disease subclassifiers that can explain this heterogeneity beyond current parameters (MSI, KRAS, BRAF). Attempts to fill this gap are emerging. The Cancer Genome Atlas (TGCA) reported two main CRC groups, based on the incidence and spectrum of mutated genes, and another paper reported an EMT expression signature defined subgroup. We performed a prior free analysis of CRC heterogeneity on 1113 CRC gene expression profiles and confronted our findings to established molecular determinants and clinical, histopathological and survival data. Unsupervised clustering based on gene modules allowed us to distinguish at least five different gene expression CRC subtypes, which we call surface crypt-like, lower crypt-like, CIMP-H-like, mesenchymal and mixed. A gene set enrichment analysis combined with literature search of gene module members identified distinct biological motifs in different subtypes. The subtypes, which were not derived based on outcome, nonetheless showed differences in prognosis. Known gene copy number variations and mutations in key cancer-associated genes differed between subtypes, but the subtypes provided molecular information beyond that contained in these variables. Morphological features significantly differed between subtypes. The objective existence of the subtypes and their clinical and molecular characteristics were validated in an independent set of 720 CRC expression profiles. Our subtypes provide a novel perspective on the heterogeneity of CRC. The proposed subtypes should be further explored retrospectively on existing clinical trial datasets and, when sufficiently robust, be prospectively assessed for clinical relevance in terms of prognosis and treatment response predictive capacity. Original microarray data were uploaded to the ArrayExpress database (http

  11. SPARCoC: a new framework for molecular pattern discovery and cancer gene identification.

    Directory of Open Access Journals (Sweden)

    Shiqian Ma

    Full Text Available It is challenging to cluster cancer patients of a certain histopathological type into molecular subtypes of clinical importance and identify gene signatures directly relevant to the subtypes. Current clustering approaches have inherent limitations, which prevent them from gauging the subtle heterogeneity of the molecular subtypes. In this paper we present a new framework: SPARCoC (Sparse-CoClust, which is based on a novel Common-background and Sparse-foreground Decomposition (CSD model and the Maximum Block Improvement (MBI co-clustering technique. SPARCoC has clear advantages compared with widely-used alternative approaches: hierarchical clustering (Hclust and nonnegative matrix factorization (NMF. We apply SPARCoC to the study of lung adenocarcinoma (ADCA, an extremely heterogeneous histological type, and a significant challenge for molecular subtyping. For testing and verification, we use high quality gene expression profiling data of lung ADCA patients, and identify prognostic gene signatures which could cluster patients into subgroups that are significantly different in their overall survival (with p-values < 0.05. Our results are only based on gene expression profiling data analysis, without incorporating any other feature selection or clinical information; we are able to replicate our findings with completely independent datasets. SPARCoC is broadly applicable to large-scale genomic data to empower pattern discovery and cancer gene identification.

  12. Molecular Imaging of Biological Gene Delivery Vehicles for Targeted Cancer Therapy: Beyond Viral Vectors

    Energy Technology Data Exchange (ETDEWEB)

    Min, Jung Joon; Nguyen, Vu H. [Chonnam National University Medical School, Gwangju (Korea, Republic of); Gambhir, Sanjiv S. [Stanford University, California(United States)

    2010-04-15

    Cancer persists as one of the most devastating diseases in the world. Problems including metastasis and tumor resistance to chemotherapy and radiotherapy have seriously limited the therapeutic effects of present clinical treatments. To overcome these limitations, cancer gene therapy has been developed over the last two decades for a broad spectrum of applications, from gene replacement and knockdown to vaccination, each with different requirements for gene delivery. So far, a number of genes and delivery vectors have been investigated, and significant progress has been made with several gene therapy modalities in clinical trials. Viral vectors and synthetic liposomes have emerged as the vehicles of choice for many applications. However, both have limitations and risks that restrict gene therapy applications, including the complexity of production, limited packaging capacity, and unfavorable immunological features. While continuing to improve these vectors, it is important to investigate other options, particularly nonarrival biological agents such as bacteria, bacteriophages, and bacteria-like particles. Recently, many molecular imaging techniques for safe, repeated, and high-resolution in vivo imaging of gene expression have been employed to assess vector-mediated gene expression in living subjects. In this review, molecular imaging techniques for monitoring biological gene delivery vehicles are described, and the specific use of these methods at different steps is illustrated. Linking molecular imaging to gene therapy will eventually help to develop novel gene delivery vehicles for preclinical study and support the development of future human applications.

  13. Molecular Imaging of Biological Gene Delivery Vehicles for Targeted Cancer Therapy: Beyond Viral Vectors

    International Nuclear Information System (INIS)

    Cancer persists as one of the most devastating diseases in the world. Problems including metastasis and tumor resistance to chemotherapy and radiotherapy have seriously limited the therapeutic effects of present clinical treatments. To overcome these limitations, cancer gene therapy has been developed over the last two decades for a broad spectrum of applications, from gene replacement and knockdown to vaccination, each with different requirements for gene delivery. So far, a number of genes and delivery vectors have been investigated, and significant progress has been made with several gene therapy modalities in clinical trials. Viral vectors and synthetic liposomes have emerged as the vehicles of choice for many applications. However, both have limitations and risks that restrict gene therapy applications, including the complexity of production, limited packaging capacity, and unfavorable immunological features. While continuing to improve these vectors, it is important to investigate other options, particularly nonarrival biological agents such as bacteria, bacteriophages, and bacteria-like particles. Recently, many molecular imaging techniques for safe, repeated, and high-resolution in vivo imaging of gene expression have been employed to assess vector-mediated gene expression in living subjects. In this review, molecular imaging techniques for monitoring biological gene delivery vehicles are described, and the specific use of these methods at different steps is illustrated. Linking molecular imaging to gene therapy will eventually help to develop novel gene delivery vehicles for preclinical study and support the development of future human applications.

  14. Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

    Science.gov (United States)

    Yu, Kun-Hsing; Zhang, Ce; Berry, Gerald J.; Altman, Russ B.; Ré, Christopher; Rubin, Daniel L.; Snyder, Michael

    2016-01-01

    Lung cancer is the most prevalent cancer worldwide, and histopathological assessment is indispensable for its diagnosis. However, human evaluation of pathology slides cannot accurately predict patients' prognoses. In this study, we obtain 2,186 haematoxylin and eosin stained histopathology whole-slide images of lung adenocarcinoma and squamous cell carcinoma patients from The Cancer Genome Atlas (TCGA), and 294 additional images from Stanford Tissue Microarray (TMA) Database. We extract 9,879 quantitative image features and use regularized machine-learning methods to select the top features and to distinguish shorter-term survivors from longer-term survivors with stage I adenocarcinoma (P<0.003) or squamous cell carcinoma (P=0.023) in the TCGA data set. We validate the survival prediction framework with the TMA cohort (P<0.036 for both tumour types). Our results suggest that automatically derived image features can predict the prognosis of lung cancer patients and thereby contribute to precision oncology. Our methods are extensible to histopathology images of other organs. PMID:27527408

  15. Infrared images of reflection nebulae and Orion's bar: Fluorescent molecular hydrogen and the 3.3 micron feature

    Science.gov (United States)

    Burton, Michael G.; Moorhouse, Alan; Brand, P. W. J. L.; Roche, Patrick F.; Geballe, T. R.

    1989-01-01

    Images were obtained of the (fluorescent) molecular hydrogen 1-0 S(1) line, and of the 3.3 micron emission feature, in Orion's Bar and three reflection nebulae. The emission from these species appears to come from the same spatial locations in all sources observed. This suggests that the 3.3 micron feature is excited by the same energetic UV-photons which cause the molecular hydrogen to fluoresce.

  16. Early detection of breast cancer mass lesions by mammogram segmentation images based on texture features

    International Nuclear Information System (INIS)

    Mammography is at present one of the available method for early detection of masses or abnormalities which is related to breast cancer.The calcifications. The challenge lies in early and accurate detection to overcome the development of breast cancer that affects more and more women throughout the world. Breast cancer is diagnosed at advanced stages with the help of the digital mammogram images. Masses appear in a mammogram as fine, granular clusters, which are often difficult to identify in a raw mammogram. The incidence of breast cancer in women has increased significantly in recent years. This paper proposes a computer aided diagnostic system for the extraction of features like mass lesions in mammograms for early detection of breast cancer. The proposed technique is based on a four-step procedure: (a) the preprocessing of the image is done, (b) regions of interest (ROI) specification, (c) supervised segmentation method includes two to stages performed using the minimum distance (M D) criterion, and (d) feature extraction based on Gray level Co-occurrence matrices GLC M for the identification of mass lesions. The method suggested for the detection of mass lesions from mammogram image segmentation and analysis was tested over several images taken from A L-llwiya Hospital in Baghdad, Iraq.The proposed technique shows better results.

  17. Immature truncated O-glycophenotype of cancer directly induces oncogenic features

    DEFF Research Database (Denmark)

    Radhakrishnan, Prakash; Dabelsteen, Sally; Madsen, Frey Brus;

    2014-01-01

    Aberrant expression of immature truncated O-glycans is a characteristic feature observed on virtually all epithelial cancer cells, and a very high frequency is observed in early epithelial premalignant lesions that precede the development of adenocarcinomas. Expression of the truncated O-glycan s......Aberrant expression of immature truncated O-glycans is a characteristic feature observed on virtually all epithelial cancer cells, and a very high frequency is observed in early epithelial premalignant lesions that precede the development of adenocarcinomas. Expression of the truncated O......-glycans, as well as relocation of glycosyltransferases controlling initiation of O-glycosylation from Golgi to endoplasmic reticulum. Truncated O-glycans have been proposed to play functional roles for cancer-cell invasiveness, but our understanding of the biological functions of aberrant glycosylation in...... cancer is still highly limited. Here, we used exome sequencing of most glycosyltransferases in a large series of primary and metastatic pancreatic cancers to rule out somatic mutations as a cause of expression of truncated O-glycans. Instead, we found hypermethylation of core 1 β3-Gal...

  18. Analysis on Clinical Features of 2168 Patients with Lung Cancer Diagnosed by Bronchoscope

    Directory of Open Access Journals (Sweden)

    Yu Zhang

    2013-06-01

    Full Text Available Objective: To analyze the clinical features of lung cancer diagnosed by bronchoscopy. Methods: The clinical features of 2168 patients with lung cancer diagnosed by bronchoscopy were retrospectively analyzed, including gender, age, pathological type, diseased region, manifestations under bronchoscopy and methods of drawing materials. Results: The ratio of male/female was 4.8:1 and the peak onset age was 60 - 69 years old. The major pathological type was squamous cell carcinoma (44.5%, then adenocarcinoma (25.9% and small cell lung cancer (18.3%. The incidence of squamous cell carcinoma was the highest in males (50.6%, while that of adenocarcinoma in females (56.2%. The positive diagnostic rates of forceps biopsy, brush biopsy, bronchial alveolar lavage and transbronchial needle aspiration were 81.6%, 49.4%, 18.2% and 62.6%, respectively, whereas that of biopsy combined with brush biopsy came up to 89.0%. Conclusion: Bronchoscopy is an important method in diagnosis of lung cancer. Different ages and genders of patients with lung cancer have different onset, and the distribution of pathological types is diverse. Attaching more importance to bronchoscopy and improving biopsy technique can significantly improve the diagnostic rate and provide reliable evidences for clinical treatment.

  19. Analysis on Clinical Features of 2168 Patients with Lung Cancer Diagnosed by Bronchoscope

    Institute of Scientific and Technical Information of China (English)

    Zhang Yu; Yu Like; Xie Haiyan; Hu Weihua; Hao Keke; Xia Ning

    2013-01-01

    Objective: To analyze the clinical features of lung cancer diagnosed by bronchoscopy. Methods:The clinical features of2168 patients with lung cancer diagnosed by bronchoscopy were retrospectively analyzed, including gender, age, pathological type, diseased region, manifestations under bronchoscopy and methods of drawing materials. Results:The ratio of male/female was 4.8:1 and the peak onset age was 60~69 years old. The major pathological type was squamous cell carcinoma (44.5%), then adenocarcinoma (25.9%) and small cell lung cancer (18.3%). The incidence of squamous cell carcinoma was the highest in males (50.6%), while that of adenocarcinoma in females (56.2%). The positive diagnostic rates of forceps biopsy, brush biopsy, bronchial alveolar lavage and transbronchial needle aspiration were 81.6%, 49.4%, 18.2% and 62.6%, respectively, whereas that of biopsy combined with brush biopsy came up to 89.0%. Conclusion: Bronchoscopy is an important method in diagnosis of lung cancer. Different ages and genders of patients with lung cancer have different onset, and the distribution of pathological types is diverse. Attaching more importance to bronchoscopy and improving biopsy technique can signiifcantly improve the diagnostic rate and provide reliable evidences for clinical treatment.

  20. MERRF: Clinical features, muscle biopsy and molecular genetics in Brazilian patients.

    Science.gov (United States)

    Lorenzoni, Paulo José; Scola, Rosana H; Kay, Cláudia S Kamoi; Arndt, Raquel C; Silvado, Carlos E; Werneck, Lineu C

    2011-05-01

    Myoclonic epilepsy with ragged red fibers (MERRF) is a mitochondrial disease that is characterized by myoclonic epilepsy with ragged red fibers (RRF) in muscle biopsies. The aim of this study was to analyze Brazilian patients with MERRF. Six patients with MERRF were studied and correlations between clinical findings, laboratory data, electrophysiology, histology and molecular features were examined. We found that blood lactate was increased in four patients. Electroencephalogram studies revealed generalized epileptiform discharges in five patients and generalized photoparoxysmal responses during intermittent photic stimulation in two patients. Muscle biopsies showed RRF in all patients using modified Gomori-trichrome and succinate dehydrogenase stains. Cytochrome c oxidase (COX) stain analysis indicated deficient activity in five patients and subsarcolemmal accumulation in one patient. Molecular analysis of the tRNA(Lys) gene with PCR/RFLP and direct sequencing showed the A8344G mutation of mtDNA in five patients. The presence of RRFs and COX deficiencies in muscle biopsies often confirmed the MERRF diagnosis. We conclude that molecular analysis of the tRNA(Lys) gene is an important criterion to help confirm the MERRF diagnosis. Furthermore, based on the findings of this study, we suggest a revision of the main characteristics of this disease. PMID:21303704

  1. An Approach with Support Vector Machine using Variable Features Selection on Breast Cancer Prognosis

    Directory of Open Access Journals (Sweden)

    Sandeep Chaurasia

    2013-09-01

    Full Text Available Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of machine learning. In this paper we have used an approach by using support vector machine classifier to construct a model that is useful for the breast cancer survivability prediction. We have used both 5 cross and 10 cross validation of variable selection on input feature vectors and the performance measurement through bio-learning class performance while measuring AUC, specificity and sensitivity. The performance of the SVM is much better than the other machine learning classifier.

  2. Extending pathways and processes using molecular interaction networks to analyse cancer genome data

    Directory of Open Access Journals (Sweden)

    Krasnogor Natalio

    2010-12-01

    Full Text Available Abstract Background Cellular processes and pathways, whose deregulation may contribute to the development of cancers, are often represented as cascades of proteins transmitting a signal from the cell surface to the nucleus. However, recent functional genomic experiments have identified thousands of interactions for the signalling canonical proteins, challenging the traditional view of pathways as independent functional entities. Combining information from pathway databases and interaction networks obtained from functional genomic experiments is therefore a promising strategy to obtain more robust pathway and process representations, facilitating the study of cancer-related pathways. Results We present a methodology for extending pre-defined protein sets representing cellular pathways and processes by mapping them onto a protein-protein interaction network, and extending them to include densely interconnected interaction partners. The added proteins display distinctive network topological features and molecular function annotations, and can be proposed as putative new components, and/or as regulators of the communication between the different cellular processes. Finally, these extended pathways and processes are used to analyse their enrichment in pancreatic mutated genes. Significant associations between mutated genes and certain processes are identified, enabling an analysis of the influence of previously non-annotated cancer mutated genes. Conclusions The proposed method for extending cellular pathways helps to explain the functions of cancer mutated genes by exploiting the synergies of canonical knowledge and large-scale interaction data.

  3. Molecular genetics analysis of hereditary breast and ovarian cancer patients in India

    Directory of Open Access Journals (Sweden)

    Soumittra Nagasamy

    2009-08-01

    Full Text Available Abstract Background Hereditary cancers account for 5–10% of cancers. In this study BRCA1, BRCA2 and CHEK2*(1100delC were analyzed for mutations in 91 HBOC/HBC/HOC families and early onset breast and early onset ovarian cancer cases. Methods PCR-DHPLC was used for mutation screening followed by DNA sequencing for identification and confirmation of mutations. Kaplan-Meier survival probabilities were computed for five-year survival data on Breast and Ovarian cancer cases separately, and differences were tested using the Log-rank test. Results Fifteen (16% pathogenic mutations (12 in BRCA1 and 3 in BRCA2, of which six were novel BRCA1 mutations were identified. None of the cases showed CHEK2*1100delC mutation. Many reported polymorphisms in the exonic and intronic regions of BRCA1 and BRCA2 were also seen. The mutation status and the polymorphisms were analyzed for association with the clinico-pathological features like age, stage, grade, histology, disease status, survival (overall and disease free and with prognostic molecular markers (ER, PR, c-erbB2 and p53. Conclusion The stage of the disease at diagnosis was the only statistically significant (p

  4. Molecular profiling of multiple human cancers defines an inflammatory cancer-associated molecular pattern and uncovers KPNA2 as a uniform poor prognostic cancer marker.

    Directory of Open Access Journals (Sweden)

    Saleh M Rachidi

    Full Text Available BACKGROUND: Immune evasion is one of the recognized hallmarks of cancer. Inflammatory responses to cancer can also contribute directly to oncogenesis. Since the immune system is hardwired to protect the host, there is a possibility that cancers, regardless of their histological origins, endow themselves with a common and shared inflammatory cancer-associated molecular pattern (iCAMP to promote oncoinflammation. However, the definition of iCAMP has not been conceptually and experimentally investigated. METHODS AND FINDINGS: Genome-wide cDNA expression data was analyzed for 221 normal and 324 cancer specimens from 7 cancer types: breast, prostate, lung, colon, gastric, oral and pancreatic. A total of 96 inflammatory genes with consistent dysregulation were identified, including 44 up-regulated and 52 down-regulated genes. Protein expression was confirmed by immunohistochemistry for some of these genes. The iCAMP contains proteins whose roles in cancer have been implicated and others which are yet to be appreciated. The clinical significance of many iCAMP genes was confirmed in multiple independent cohorts of colon and ovarian cancer patients. In both cases, better prognosis correlated strongly with high CXCL13 and low level of GREM1, LOX, TNFAIP6, CD36, and EDNRA. An "Inflammatory Gene Integrated Score" was further developed from the combination of 18 iCAMP genes in ovarian cancer, which predicted overall survival. Noticeably, as a selective nuclear import protein whose immuno-regulatory function just begins to emerge, karyopherin alpha 2 (KPNA2 is uniformly up-regulated across cancer types. For the first time, the cancer-specific up-regulation of KPNA2 and its clinical significance were verified by tissue microarray analysis in colon and head-neck cancers. CONCLUSION: This work defines an inflammatory signature shared by seven epithelial cancer types and KPNA2 as a consistently up-regulated protein in cancer. Identification of iCAMP may not only

  5. Molecular targeted treatment and radiation therapy for rectal cancer

    International Nuclear Information System (INIS)

    Background: EGFR (epidermal growth factor receptor) and VEGF (vascular endothelial growth factor) inhibitors confer clinical benefit in metastatic colorectal cancer when combined with chemotherapy. An emerging strategy to improve outcomes in rectal cancer is to integrate biologically active, targeted agents as triple therapy into chemoradiation protocols. Material and methods: cetuximab and bevacizumab have now been incorporated into phase I-II studies of preoperative chemoradiation therapy (CRT) for rectal cancer. The rationale of these combinations, early efficacy and toxicity data, and possible molecular predictors for tumor response are reviewed. Computerized bibliographic searches of Pubmed were supplemented with hand searches of reference lists and abstracts of ASCO and ASTRO meetings. Results: the combination of cetuximab and CRT can be safely applied without dose compromises of the respective treatment components. Disappointingly low rates of pathologic complete remission have been noted in several phase II studies. The K-ras mutation status and the gene copy number of EGFR may predict tumor response. The toxicity pattern (radiation-induced enteritis, perforations) and surgical complications (wound healing, fistula, bleeding) observed in at least some of the clinical studies with bevacizumab and CRT warrant further investigations. Conclusion: longer follow-up (and, finally, randomized trials) is needed to draw any firm conclusions with respect to local and distant failure rates, and toxicity associated with these novel treatment approaches. (orig.)

  6. Molecular targeted treatment and radiation therapy for rectal cancer

    Energy Technology Data Exchange (ETDEWEB)

    Marquardt, Friederike; Roedel, Franz; Capalbo, Gianni; Weiss, Christian; Roedel, Claus [Dept. of Radiation Therapy, Univ. of Frankfurt/Main (Germany)

    2009-06-15

    Background: EGFR (epidermal growth factor receptor) and VEGF (vascular endothelial growth factor) inhibitors confer clinical benefit in metastatic colorectal cancer when combined with chemotherapy. An emerging strategy to improve outcomes in rectal cancer is to integrate biologically active, targeted agents as triple therapy into chemoradiation protocols. Material and methods: cetuximab and bevacizumab have now been incorporated into phase I-II studies of preoperative chemoradiation therapy (CRT) for rectal cancer. The rationale of these combinations, early efficacy and toxicity data, and possible molecular predictors for tumor response are reviewed. Computerized bibliographic searches of Pubmed were supplemented with hand searches of reference lists and abstracts of ASCO and ASTRO meetings. Results: the combination of cetuximab and CRT can be safely applied without dose compromises of the respective treatment components. Disappointingly low rates of pathologic complete remission have been noted in several phase II studies. The K-ras mutation status and the gene copy number of EGFR may predict tumor response. The toxicity pattern (radiation-induced enteritis, perforations) and surgical complications (wound healing, fistula, bleeding) observed in at least some of the clinical studies with bevacizumab and CRT warrant further investigations. Conclusion: longer follow-up (and, finally, randomized trials) is needed to draw any firm conclusions with respect to local and distant failure rates, and toxicity associated with these novel treatment approaches. (orig.)

  7. A targeted molecular probe for colorectal cancer imaging

    Science.gov (United States)

    Attramadal, T.; Bjerke, R.; Indrevoll, B.; Moestue, S.; Rogstad, A.; Bendiksen, R.; Healey, A.; Johannesen, E.

    2008-02-01

    Colorectal cancer is a major cause of cancer death. Morbidity, mortality and healthcare costs can be reduced if the disease can be detected at an early stage. Screening is a viable approach as there is a clear link to risk factors such as age. We have developed a fluorescent contrast agent for use during colonoscopy. The agent is administered intravenously and is targeted to an early stage molecular marker for colorectal cancer. The agent consists of a targeting section comprising a peptide, and a fluorescent reporter molecule. Clinical imaging of the agent is to be performed with a far red fluorescence imaging channel (635 nm excitation/660-700 nm emission) as an adjunct to white light colonoscopy. Preclinical proof of mechanism results are presented. The compound has a K d of ~3nM. Two human xenograft tumour models were used. Tumour cells were implanted and grown subcutaneously in nude mice. Imaging using a fluorescence reflectance imaging system and quantitative biodistribution studies were performed. Substances tested include the targeted agent, and a scrambled sequence of the peptide (no binding) used as a negative control. Competition studies were also performed by co-administration of 180 times excess unlabelled peptide. Positive imaging contrast was shown in the tumours, with a clear relationship to expression levels (confirmed with quantitative biodistribution data). There was a significant difference between the positive and negative control substances, and a significant reduction in contrast in the competition experiment.

  8. Influence of low molecular weight heparin on cancer patients’ survival

    Directory of Open Access Journals (Sweden)

    V. V. Ptushkin

    2014-07-01

    Full Text Available There is an evidence of interaction between the hemostasis system and tumor progression factors. It is known that in addition to the fibrin formation and platelets activation, thrombin can influence many cells function interacting with protease-activating receptors including tumor cells. These receptors are involved in the malignant cell phenotype formation (adhesion, proliferation, proteolysis. Thrombin can also affect angiogenesis by stimulating endothelial cells penetration through basal membrane and its migration with new vessels formation. Furthermore, it can cause the release of main neoangiogenesis promoter – vascular endothelial growth factor. All of the above and many other linkages of coagulation and tumor create a theoretical background of possible affecting tumor by regulation of the coagulation activity. Thepromise of this approach is controversial, but there is some clinical and experimental evidence of their effectiveness. The most used group ofdrugs for this purpose was heparins. Several retrospective studies have shown a benefit of low molecular weight heparins (LMWH over unfractionated heparin in cancer patient survival. The appearance of a new heparins group – ultra LMWH are of interest from this point ofview and their possible use in cancer patients. To date bemiparin and semuloparin are used in clinic. Both (bemiparin about 3600 kDa,semuloparin 3000 kDa have substancially reduced molecular weight as compared with the smallest of LMWH – enoxaparin (4600 kDa.Use of bemiparin in patients with small cell lung cancer receiving chemotherapy resulted in increased of 2-year survival rate compared to the control group (68.6 % vs. 29.4 %, p = 0.0042.

  9. Clinical features and prognosis of obese breast cancer patients:a retrospective study*

    Institute of Scientific and Technical Information of China (English)

    Zhendong Zheng; Heng Cao; Shuxian Qu; Yongye Liu; Ying Piao; Xiaodong Xie

    2013-01-01

    Objective:The aim of our study was to investigate the prognosis of obese breast cancer patients. Methods:This study was conducted on a total of 317 breast cancer patients who were histopathological y and clinical y diagnosed at the General Hospital of Shenyang Military Region (China) from 2004 to 2006. Clinical data including height, weight, age at diagnosis, tumor size, lymph node status, menopausal status, family history of cancer and hormone receptor status were col-lected. Log-rank test was performed to compare the disease free survival (DFS) and overal survival (OS). Cox proportional hazards regression analysis was conducted to make multivariate analysis. The Chi square test was used to compare the clinical features among normal weight group, overweight group, and obese group. Results:Obesity was an independent prognostic factor for DFS (P=0.022) and OS (P=0.032) in breast cancer patients. In the stratified analysis based on the hormone receptor status, obesity was independently associated with OS in patients with negative ER/PR (P=0.002), but such association was not observed in patients with positive hormone receptors. Obesity was also associated with lymph node status (P=0.001) and smoking (P=0.009). Conclusion:Obesity is associated with poor DFS and OS in patients with breast cancer. Therefore, maintaining normal weight may benefit breast cancer patients.

  10. 月经初潮年龄对中国女性乳腺癌临床病理特征及分子表型的影响%Influence of age at menarche on clinical pathological features and molecular phenotype in Chinese female breast cancer

    Institute of Scientific and Technical Information of China (English)

    孙刚; 王珂

    2015-01-01

    目的:探索中国女性月经初潮年龄对乳腺癌临床病理特征及分子表型的影响。方法:收集本院收治的女性乳腺癌临床资料共210例,按月经初潮年龄分为≤13岁组和>13岁组,采用卡方检验分别比较各组间临床病理特征及分子表型的差异。结果:月经初潮年龄越早(≤13岁),腋窝淋巴结转移几率越高,同时肿瘤分期越晚(P <0.05);初潮年龄越早,非 Luminal 型出现的比例越高(P <0.05)。结论:月经初潮越早,乳腺癌的恶性程度越高并且多呈现出非 Luminal 型的分子表型。%Objective:To investigate the influence of age at menarche on tumor clinical characteristics and molec-ular subtypes in Chinese females with breast cancer.Methods:The clinical findings of 2 1 0 Chinese females with breast cancer were divided into 2 groups:≤13 years old and >13 years old,then analyzed as age at menarche retro-spectively.Results:The age of menarche ≤13 years old was a higher risk factor of axillary lymph nodes metastasis, later TNMstaging and non -Luminal subtype than that of >13 years old(P <0.05).Conclusion:Earlier age at menarche might be related to higher grade malignancy,TNMstaging and appearance of non -Luminal subtype in Chi-nese females with breast cancer.

  11. Genomic Characterization of High-Grade Serous Ovarian Cancer: Dissecting Its Molecular Heterogeneity as a Road Towards Effective Therapeutic Strategies.

    Science.gov (United States)

    Mittempergher, Lorenza

    2016-07-01

    High-grade serous ovarian carcinoma (HGSOC) accounts for the majority of the ovarian cancer deaths, but over the last years little improvement in overall survival has been achieved. HGSOC is a molecularly and clinically heterogeneous disease. At genomic level, it represents a C-class malignancy having frequent gene losses (NF1, RB1, PTEN) and gains (CCNE1, MYC). HGSOC shows a simple mutational profile with TP53 nearly always mutated and with other genes mutated at low frequency. Importantly, 50 % of all HGSOCs have genetic features indicating a homologous recombination (HR) deficiency. HR deficient tumors are highly sensitive to PARP inhibitor anticancer agents, which exhibit synthetic lethality with a defective HR pathway. Transcriptionally, HGSOCs can be grouped into different molecular subtypes with distinct biology and prognosis. Molecular stratification of HGSOC based on these genomic features may result in improved therapeutic strategies. PMID:27241520

  12. Unveiling atomic-scale features of inherent heterogeneity in metallic glass by molecular dynamics simulations

    Science.gov (United States)

    Hu, Y. C.; Guan, P. F.; Li, M. Z.; Liu, C. T.; Yang, Y.; Bai, H. Y.; Wang, W. H.

    2016-06-01

    Heterogeneity is commonly believed to be intrinsic to metallic glasses (MGs). Nevertheless, how to distinguish and characterize the heterogeneity at the atomic level is still debated. Based on the extensive molecular dynamics simulations that combine isoconfigurational ensemble and atomic pinning methods, we directly reveal that MG contains flow units and the elastic matrix which can be well distinguished by their distinctive atomic-level responsiveness and mechanical performance. The microscopic features of the flow units, such as the shape, spatial distribution dimensionality, and correlation length, are characterized from atomic position analyses. Furthermore, the correlation between the flow units and the landscape of energy state, free volume, atomic-level stress, and especially the local bond orientational order parameter is discussed.

  13. Mesenchymal traits are selected along with stem features in breast cancer cells grown as mammospheres

    Science.gov (United States)

    Borgna, Silvia; Armellin, Michela; di Gennaro, Alessandra; Maestro, Roberta; Santarosa, Manuela

    2012-01-01

    Increasing evidence indicates that invasive properties of breast cancers rely on gain of mesenchymal and stem features, which has suggested that the dual targeting of these phenotypes may represent an appealing therapeutic strategy. It is known that the fraction of stem cells can be enriched by culturing breast cancer cells as mammospheres (MS), but whether these pro-stem conditions favor also the expansion of cells provided of mesenchymal features is still undefined. In the attempt to shed light on this issue, we compared the phenotypes of a panel of 10 breast cancer cell lines representative of distinct subtypes (luminal, HER2-positive, basal-like and claudin-low), grown in adherent conditions and as mammospheres. Under MS-proficient conditions, the increment in the fraction of stem-like cells was associated to upregulation of the mesenchymal marker Vimentin and downregulation of the epithelial markers expressed by luminal cells (E-cadherin, KRT18, KRT19, ESR1). Luminal cells tended also to upregulate the myoepithelial marker CD10. Taken together, our data indicate that MS-proficient conditions do favor mesenchymal/myoepithelial features, and indicate that the use of mammospheres as an in vitro tumor model may efficiently allow the exploitation of therapeutic approaches aimed at targeting aggressive tumors that have undergone epithelial-to-mesenchymal transition. PMID:23095640

  14. 3D-QSAR, molecular dynamics simulations and molecular docking studies of benzoxazepine moiety as mTOR inhibitor for the treatment of lung cancer.

    Science.gov (United States)

    Chaube, Udit; Chhatbar, Dhara; Bhatt, Hardik

    2016-02-01

    According to WHO statistics, lung cancer is one of the leading causes of death among all other types of cancer. Many genes get mutated in lung cancer but involvement of EGFR and KRAS are more common. Unavailability of drugs or resistance to the available drugs is the major problem in the treatment of lung cancer. In the present research, mTOR was selected as an alternative target for the treatment of lung cancer which involves PI3K/AKT/mTOR pathway. 28 synthetic mTOR inhibitors were selected from the literature. Ligand based approach (CoMFA and CoMSIA) and structure based approach (molecular dynamics simulations assisted molecular docking study) were applied for the identification of important features of benzoxazepine moiety, responsible for mTOR inhibition. Three different alignments were tried to obtain best QSAR model, of which, distil was found to be the best method, as it gave good statistical results. In CoMFA, Leave One Out (LOO) cross validated coefficients (q(2)), conventional coefficient (r(2)) and predicted correlation coefficient (r(2)pred) values were found to be 0.615, 0.990 and 0.930, respectively. Similarly in CoMSIA, q(2), r(2)ncv and r(2)pred values were found to be 0.748, 0.986 and 0.933, respectively. Molecular dynamics and simulations study revealed that B-chain of mTOR protein was stable at and above 500 FS with respect to temperature (at and above 298 K), Potential energy (at and above 7669.72 kJ/mol) and kinetic energy (at and above 4009.77 kJ/mol). Molecular docking study was performed on simulated protein of mTOR which helped to correlate interactions of amino acids surrounded to the ligand with contour maps generated by QSAR method. Important features of benzoxazepine were identified by contour maps and molecular docking study which would be useful to design novel molecules as mTOR inhibitors for the treatment of lung cancer. PMID:26764189

  15. Molecular application of spectral photoacoustic imaging in pancreatic cancer pathology

    Science.gov (United States)

    Lakshman, Minalini; Hupple, Clinton; Lohse, Ines; Hedley, David; Needles, Andrew; Theodoropoulos, Catherine

    2012-12-01

    Spectral imaging is an advanced photo-acoustic (PA) mode that can discern optical absorption of contrast agent(s) in the tissue micro-environment. This advancement is made possible by precise control of optical wavelength using a tunable pulsed laser, ranging from 680-970 nm. Differential optical absorption of blood oxygenation states makes spectral imaging of hemoglobin ideal to investigate remodeling of the tumor microenvironment- a molecular change that renders resistance to standard cancer treatment. Approach: Photo-acoustic imaging was performed on the Vevo® LAZR system (VisualSonics) at 5-20 Hz. Deep abdominal imaging was accomplished with a LZ250D probe at a center frequency of 21MHz and an axial resolution of 75 μm. The tumor model was generated in an immune compromised mouse by surgical implantation of primary patient derived tumors, in the pancreas. Results: Spectral imaging for oxygen saturation at 750 nm and 850 nm characterized this tumor with a poorly oxygenated core surrounded by a well oxygenated periphery. Multispectral imaging identified a sub region in the core with a four-fold signal exclusively at 750 and 800 nm. A co-registered 2D image of this region was shown to be echogenic and calcification was suspected. Perfusion imaging with contrast enhanced ultrasound using microbubbles (Vevo MicroMarker® contrast agents, VisualSonics) identified functional vessels towards this sub region. Histology confirmed calcification and vascularization in the tumor core. Taken together, non-invasive characterization of the tumor microenvironment using photo-acoustics rendered spectral imaging a sensitive tool to monitor molecular changes representative of progression of pancreatic cancer that kills within 6 months of diagnosis.

  16. Staging of Prostate Cancer Using Automatic Feature Selection, Sampling and Dempster-Shafer Fusion

    Directory of Open Access Journals (Sweden)

    Sandeep Chandana

    2009-01-01

    Full Text Available A novel technique of automatically selecting the best pairs of features and sampling techniques to predict the stage of prostate cancer is proposed in this study. The problem of class imbalance, which is prominent in most medical data sets is also addressed here. Three feature subsets obtained by the use of principal components analysis (PCA, genetic algorithm (GA and rough sets (RS based approaches were also used in the study. The performance of under-sampling, synthetic minority over-sampling technique (SMOTE and a combination of the two were also investigated and the performance of the obtained models was compared. To combine the classifier outputs, we used the Dempster-Shafer (DS theory, whereas the actual choice of combined models was made using a GA. We found that the best performance for the overall system resulted from the use of under sampled data combined with rough sets based features modeled as a support vector machine (SVM.

  17. Synthesis and evaluation of a peptide targeted small molecular Gd-DOTA monoamide conjugate for MR molecular imaging of prostate cancer

    OpenAIRE

    Wu, Xueming; Burden-Gulley, Susan M.; Yu, Guan-Ping; Tan, Mingqian; Lindner, Daniel; Brady-Kalnay, Susann M.; Lu, Zheng-Rong

    2012-01-01

    Tumor extracellular matrix has an abundance of cancer related proteins that can be used as biomarkers for cancer molecular imaging. Innovative design and development of safe and effective targeted contrast agents to these biomarkers would allow effective MR cancer molecular imaging with high spatial resolution. In this study, we synthesized a low molecular weight CLT1 peptide targeted Gd(III) chelate CLT1-dL-(Gd-DOTA)4 specific to clotted plasma proteins in tumor stroma for cancer MR molecula...

  18. Molecular markers in breast cancer: new tools in imaging and prognosis

    NARCIS (Netherlands)

    Vermeulen, J.F.

    2012-01-01

    Breast cancer is the most frequently diagnosed cancer in women. Although breast cancer is mainly diagnosed by mammography, other imaging modalities (e.g. MRI, PET) are increasingly used. The most recent developments in the field of molecular imaging comprise the application of near-infrared fluoresc

  19. Pancreatic Cancer Gene Therapy: From Molecular Targets to Delivery Systems

    Directory of Open Access Journals (Sweden)

    Maria Victoria Maliandi

    2011-01-01

    Full Text Available The continuous identification of molecular changes deregulating critical pathways in pancreatic tumor cells provides us with a large number of novel candidates to engineer gene-targeted approaches for pancreatic cancer treatment. Targets—both protein coding and non-coding—are being exploited in gene therapy to influence the deregulated pathways to facilitate cytotoxicity, enhance the immune response or sensitize to current treatments. Delivery vehicles based on viral or non-viral systems as well as cellular vectors with tumor homing characteristics are a critical part of the design of gene therapy strategies. The different behavior of tumoral versus non-tumoral cells inspires vector engineering with the generation of tumor selective products that can prevent potential toxic-associated effects. In the current review, a detailed analysis of the different targets, the delivery vectors, the preclinical approaches and a descriptive update on the conducted clinical trials are presented. Moreover, future possibilities in pancreatic cancer treatment by gene therapy strategies are discussed.

  20. Molecular targeting of intracellular compartments specifically in cancer cells.

    Science.gov (United States)

    Pandya, Hetal; Gibo, Denise M; Debinski, Waldemar

    2010-05-01

    We have implemented a strategy in which a genetically engineered, single-chain protein specifically recognizes cancer cells and is trafficked to a targeted subcellular compartment, such as the nucleus. The recombinant protein termed IL-13.E13K-D2-NLS has a triple functional property: (1) it binds a cancer-associated receptor, interleukin 13 receptor alpha 2 (IL-13Rα2), using modified IL-13 ligand, IL-13.E13K; (2) it exports its C-terminal portion out of the endosomal compartment using Pseudomonas aeruginosa exotoxin A (PE) translocation domain (D2); and (3) it travels to and accumulates in the nucleus guided by the nuclear localization signal (NLS). Here, we have demonstrated that this protein is transported into the brain tumor cells' nucleus, using 3 different methods of protein conjugation to dyes for the purpose of direct visualization of the protein's intracellular trafficking. IL-13.E13K-D2-NLS, and not the controls such as IL-13.E13K-D2, IL-13.E13K-NLS, or IL-13.E13K, accumulated in nuclei very efficiently, which increased with the time the cells were exposed to the protein. Also, IL-13.E13K-D2-NLS did not exhibit nuclear transport in cells with low expression levels of IL-13Rα2. Thus, it is possible to recognize cancer cells through their specific receptors and deliver a conjugated protein that travels specifically to the nucleus. Hence, our molecular targeting strategy succeeded in generating a single-chain proteinaceous agent capable of delivering drugs/labels needed to be localized to the cells' nuclei or potentially any other subcellular compartment, for their optimal efficacy or ability to exert their specific action. PMID:20740056

  1. The development of molecular epidemiology to elucidate cancer risk and prognosis: a historical perspective

    OpenAIRE

    Ambrosone, Christine B.; Curtis C Harris

    2010-01-01

    Molecular epidemiology in cancer research grew from the field of chemical carcinogenesis and the use biomarkers for environmental exposures, with incorporation of principles from early pharmacogenetics. Over the years, molecular epidemiology has become extremely complex, with studies evaluating associations between cancer risk and prognosis and numerous markers of susceptibility, exposure and early effects, as well as epidemiologic factors. In this article, we review the field of molecular ep...

  2. A Novel Gene Signature for Molecular Diagnosis of Human Prostate Cancer by RT-qPCR

    OpenAIRE

    Rizzi, Federica; Belloni, Lucia; Crafa, Pellegrino; Lazzaretti, Mirca; Remondini, Daniel; Ferretti, Stefania; Cortellini, Piero; Corti, Arnaldo; Bettuzzi, Saverio

    2008-01-01

    Background Prostate cancer (CaP) is one of the most relevant causes of cancer death in Western Countries. Although detection of CaP at early curable stage is highly desirable, actual screening methods present limitations and new molecular approaches are needed. Gene expression analysis increases our knowledge about the biology of CaP and may render novel molecular tools, but the identification of accurate biomarkers for reliable molecular diagnosis is a real challenge. We describe here the di...

  3. Molecular Biology of Pancreatic Cancer: How Useful Is It in Clinical Practice?

    OpenAIRE

    Sakorafas, George H; Vasileios Smyrniotis

    2012-01-01

    Context During the recent two decades dramatic advances of molecular biology allowed an in-depth understanding of pancreatic carcinogenesis. It is currently accepted that pancreatic cancer has a genetic component. The real challenge is now how these impressive advances could be used in clinical practice. Objective To critically present currently available data regarding clinical application of molecular biology in pancreatic cancer. Methods Reports about clinical implications of molecular bio...

  4. Molecular subtyping of DCIS: heterogeneity of breast cancer reflected in pre-invasive disease

    OpenAIRE

    Clark, S. E.; Warwick, J.; Carpenter, R.; Bowen, R L; Duffy, S W; Jones, J L

    2010-01-01

    Background: Molecular profiling has identified at least four subtypes of invasive breast carcinoma, which exhibit distinct clinical behaviour. There is good evidence now that DCIS represents the non-obligate precursor to invasive breast cancer and therefore it should be possible to identify similar molecular subtypes at this stage. In addition to a limited five-marker system to identify molecular subtypes in invasive breast cancer, it is evident that other biological molecules may identify di...

  5. Exploring the role of molecular biomarkers as a potential weapon against gastric cancer: A review of the literature

    Science.gov (United States)

    Matboli, Marwa; El-Nakeep, Sarah; Hossam, Nourhan; Habieb, Alaa; Azazy, Ahmed E M; Ebrahim, Ali E; Nagy, Ziad; Abdel-Rahman, Omar

    2016-01-01

    Gastric cancer (GC) is a global health problem and a major cause of cancer-related death with high recurrence rates ranging from 25% to 40% for GC patients staging II-IV. Unfortunately, while the majority of GC patients usually present with advanced tumor stage; there is still limited evidence-based therapeutic options. Current approach to GC management consists mainly of; endoscopy followed by, gastrectomy and chemotherapy or chemo-radiotherapy. Recent studies in GC have confirmed that it is a heterogeneous disease. Many molecular characterization studies have been performed in GC. Recent discoveries of the molecular pathways underlying the disease have opened the door to more personalized treatment and better predictable outcome. The identification of molecular markers is a useful tool for clinical managementin GC patients, assisting in diagnosis, evaluation of response to treatment and development of novel therapeutic modalities. While chemotherapeutic agents have certain physiological effects on the tumor cells, the prediction of the response is different from one type of tumor to the other. The specificity of molecular biomarkers is a principal feature driving their application in anticancer therapies. Here we are trying to focus on the role of molecular pathways of GC and well-established molecular markers that can guide the therapeutic management.

  6. The Morphologic Features and Accuracy of Preoperative T-Staging in Resected Gallbladder Cancers

    Energy Technology Data Exchange (ETDEWEB)

    Jo, Sung Ehn; Kim, Mi Young; Kim, Jong Bum; Kim, Youn Jeong; Kang, Young Hye; Suh, Chang Hae [Dept. of Radiology, Inha University Hospital, Inha University School of Medicine, Incheon (Korea, Republic of); Lee, Kun Yong [Dept. of General Surgery, Inha University Hospital, Inha University School of Medicine, Incheon (Korea, Republic of); Cho, Suk Jin [Dept. of Pathology, Inha University Hospital, Inha University School of Medicine, Incheon (Korea, Republic of)

    2012-04-15

    To assess the morphological features and the accuracy of T staging images in surgically- proven gallbladder cancers, retrospectively. Images of 59 surgically-proven gallbladder cancers were reviewed. Morphologic features, shape, size of tumors and the presence of stones or sludge within the images were evaluated and correlated with surgicopathologic findings. Polypoid masses were shown in 49 cases (83%). The sizes of tumors were well correlated with surgicopathologic T-stage. With ROC evaluation, the size cutoff point to differentiate the {<=} T1 versus {>=} T2 lesions was 2.4 cm. Stones or sludge were found in 25 cases (42%). The positive predictive value, negative predictive value, sensitivities, specificities, and accuracy of the ability to differentiate the {<=} T1 versus {>=} T2 lesions were 75%, 86%, 46%, 96%, 85% and those of the ability to differentiate {<=} T2 versus {>=} T3 lesions were 89%, 49%, 45%, 90%, and 61%, respectively. Image analysis showed that polypoid mass and wall thickening were major findings. With this in mind, polypoid mass shows the possibility of gallbladder cancer originating from adenoma, even if the size is larger than 2 or 2.4 cm, the surgicopathologic stage could be low. Moreover, the accuracy of image based T stage on pericholecystic infiltration and wall thickening was low.

  7. Time-Trend in Epidemiological and Pathological Features of Schistosoma-Associated Bladder Cancer

    International Nuclear Information System (INIS)

    To investigate the different emerging trends in the features of bladder cancer along 17 years. Patients and Methods: During a 17-year period (1988- 2004), 5071 epithelial bladder cancer patients underwent radical cystectomy at the National Cancer Institute (NCI), Cairo University, Egypt. The time was divided into 3 time periods to detect changes of the clinico pathologic features of patients in these periods. Results: There was a significant progressive increase in the patients' age with time and decrease in squamous/ transitional ratio, with transient increase in male predominance during the 2nd time period. Moreover, there was a decrease in the well differentiated (grade 1) tumor (p<0.001) and an increase in the frequency of pelvic nodal involvement (p<0.001). Transitional cell carcinoma (TCC) patients were significantly older than those with squamous cell carcinoma (SCC) (p<0.001). Progressive increase of age with time was evident in TCC, SCC and adenocarcinoma patients. Male to female ratio changed significantly in TCC and SCC. Conclusion: Time trend was confirmed with relative decrease in frequency of SCC and increase of TCC with changes in their pathological details. The differences between their characteristics and that of the Western countries are decreasing.

  8. SU-E-I-39: Molecular Image Guided Cancer Stem Cells Therapy

    Energy Technology Data Exchange (ETDEWEB)

    Abdollahi, H

    2014-06-01

    Purpose: Cancer stem cells resistance to radiation is a problematic issue that has caused a big fail in cancer treatment. Methods: As a primary work, molecular imaging can indicate the main mechanisms of radiation resistance of cancer stem cells. By developing and commissioning new probes and nanomolecules and biomarkers, radiation scientist will able to identify the essential pathways of radiation resistance of cancer stem cells. As the second solution, molecular imaging is a best way to find biological target volume and delineate cancer stem cell tissues. In the other hand, by molecular imaging techniques one can image the treatment response in tumor and also in normal tissue. In this issue, the response of cancer stem cells to radiation during therapy course can be imaged, also the main mechanisms of radiation resistance and finding the best radiation modifiers (sensitizers) can be achieved by molecular imaging modalities. In adaptive radiotherapy the molecular imaging plays a vital role to have higher tumor control probability by delivering high radiation doses to cancer stem cells in any time of treatment. The outcome of a feasible treatment is dependent to high cancer stem cells response to radiation and removing all of which, so a good imaging modality can show this issue and preventing of tumor recurrence and metastasis. Results: Our results are dependent to use of molecular imaging as a new modality in the clinic. We propose molecular imaging as a new radiobiological technique to solve radiation therapy problems due to cancer stem cells. Conclusion: Molecular imaging guided cancer stem cell diagnosis and therapy is a new approach in the field of cancer treatment. This new radiobiological imaging technique should be developed in all clinics as a feasible tool that is more biological than physical imaging.

  9. SU-E-I-39: Molecular Image Guided Cancer Stem Cells Therapy

    International Nuclear Information System (INIS)

    Purpose: Cancer stem cells resistance to radiation is a problematic issue that has caused a big fail in cancer treatment. Methods: As a primary work, molecular imaging can indicate the main mechanisms of radiation resistance of cancer stem cells. By developing and commissioning new probes and nanomolecules and biomarkers, radiation scientist will able to identify the essential pathways of radiation resistance of cancer stem cells. As the second solution, molecular imaging is a best way to find biological target volume and delineate cancer stem cell tissues. In the other hand, by molecular imaging techniques one can image the treatment response in tumor and also in normal tissue. In this issue, the response of cancer stem cells to radiation during therapy course can be imaged, also the main mechanisms of radiation resistance and finding the best radiation modifiers (sensitizers) can be achieved by molecular imaging modalities. In adaptive radiotherapy the molecular imaging plays a vital role to have higher tumor control probability by delivering high radiation doses to cancer stem cells in any time of treatment. The outcome of a feasible treatment is dependent to high cancer stem cells response to radiation and removing all of which, so a good imaging modality can show this issue and preventing of tumor recurrence and metastasis. Results: Our results are dependent to use of molecular imaging as a new modality in the clinic. We propose molecular imaging as a new radiobiological technique to solve radiation therapy problems due to cancer stem cells. Conclusion: Molecular imaging guided cancer stem cell diagnosis and therapy is a new approach in the field of cancer treatment. This new radiobiological imaging technique should be developed in all clinics as a feasible tool that is more biological than physical imaging

  10. Molecular Biology of Pancreatic Cancer: How Useful Is It in Clinical Practice?

    Directory of Open Access Journals (Sweden)

    George H Sakorafas

    2012-07-01

    Full Text Available Context During the recent two decades dramatic advances of molecular biology allowed an in-depth understanding of pancreatic carcinogenesis. It is currently accepted that pancreatic cancer has a genetic component. The real challenge is now how these impressive advances could be used in clinical practice. Objective To critically present currently available data regarding clinical application of molecular biology in pancreatic cancer. Methods Reports about clinical implications of molecular biology in patients with pancreatic cancer were retrieved from PubMed. These reports were selected on the basis of their clinical relevance, and the data of their publication (preferentially within the last 5 years. Emphasis was placed on reports investigating diagnostic, prognostic, and therapeutic implications. Results Molecular biology can be used to identify individuals at high-risk for pancreatic cancer development. Intensive surveillance is indicated in these patients to detect pancreatic neoplasia ideally at a preinvasive stage, when curative resection is still possible. Molecular biology can also be used in the diagnosis of pancreatic cancer, with molecular analysis on samples of biologic material, such as serum or plasma, duodenal fluid or preferentially pure pancreatic juice, pancreatic cells or tissue, and stools. Molecular indices have also prognostic significance. Finally, molecular biology may have therapeutic implications by using various therapeutic approaches, such as antiangiogenic factors, purine synthesis inhibitors, matrix metalloproteinase inhibitors, factors modulating tumor-stroma interaction, inactivation of the hedgehog pathway, gene therapy, oncolytic viral therapy, immunotherapy (both passive as well as active etc. Conclusion Molecular biology may have important clinical implications in patients with pancreatic cancer and represents one of the most active areas on cancer research. Hopefully clinical applications of molecular biology

  11. CXCR7 mediates TGFβ1-promoted EMT and tumor-initiating features in lung cancer.

    Science.gov (United States)

    Wu, Y-C; Tang, S-J; Sun, G-H; Sun, K-H

    2016-04-21

    In the tumor microenvironment, chemokine system has a critical role in tumorigenesis and metastasis. The acquisition of stem-like properties by cancer cells is involved in metastasis and drug resistance, which are pivotal problems that result in poor outcomes in patients with lung cancer. Patients with advanced lung cancer present high plasma levels of transforming growth factor-β1 (TGFβ1), which correlate with poor prognostic features. Therefore, TGFβ1 may be important in the tumor microenvironment, where chemokines are widely expressed. However, the role of chemokines in TGFβ1-induced tumor progression still remains unclear. In our study, TGFβ1 upregulated CXC chemokine receptor expression, migration, invasion, epithelial-mesenchymal transition (EMT) and cancer stem cell (CSC) formation in lung adenocarcinoma. We found that CXCR7 was the most upregulated chemokine receptor induced by TGFβ1. CXCR7 knockdown resulted in reduction of migration, invasion and EMT induced by TGFβ1, whereas CXCR4 knockdown did not reverse TGFβ1-promoted EMT. CXCR7 silencing significantly decreased cancer sphere-forming capacity, stem-like properties, chemoresistance and TGFβ1-induced CSC tumor initiation in vivo. In clinical samples, high TGFβ1 and CXCR7 expression was significantly associated with the late stages of lung adenocarcinoma. Moreover, TGFβ1 and CXCR7 coexpression was positively correlated with the CSC marker, CD44, which is associated with lymph node metastasis. Besides, patients with high expression of both CXCR7 and TGFβ1 presented a significantly worse survival rate. These results suggest that the TGFβ1-CXCR7 axis may be a prognostic marker and may provide novel targets for combinational therapies to be used in the treatment of advanced lung cancer in the future. PMID:26212008

  12. Features of exciton dynamics in molecular nanoclusters (J-aggregates): Exciton self-trapping (Review Article)

    Science.gov (United States)

    Malyukin, Yu. V.; Sorokin, A. V.; Semynozhenko, V. P.

    2016-06-01

    We present thoroughly analyzed experimental results that demonstrate the anomalous manifestation of the exciton self-trapping effect, which is already well-known in bulk crystals, in ordered molecular nanoclusters called J-aggregates. Weakly-coupled one-dimensional (1D) molecular chains are the main structural feature of J-aggregates, wherein the electron excitations are manifested as 1D Frenkel excitons. According to the continuum theory of Rashba-Toyozawa, J-aggregates can have only self-trapped excitons, because 1D excitons must adhere to barrier-free self-trapping at any exciton-phonon coupling constant g = ɛLR/2β, wherein ɛLR is the lattice relaxation energy, and 2β is the half-width of the exciton band. In contrast, very often only the luminescence of free, mobile excitons would manifest in experiments involving J-aggregates. Using the Urbach rule in order to analyze the low-frequency region of the low-temperature exciton absorption spectra has shown that J-aggregates can have both a weak (g 1) exciton-phonon coupling. Moreover, it is experimentally demonstrated that under certain conditions, the J-aggregate excited state can have both free and self-trapped excitons, i.e., we establish the existence of a self-trapping barrier for 1D Frenkel excitons. We demonstrate and analyze the reasons behind the anomalous existence of both free and self-trapped excitons in J-aggregates, and demonstrate how exciton-self trapping efficiency can be managed in J-aggregates by varying the values of g, which is fundamentally impossible in bulk crystals. We discuss how the exciton-self trapping phenomenon can be used as an alternate interpretation of the wide band emission of some J-aggregates, which has thus far been explained by the strongly localized exciton model.

  13. Cancer of the Pancreas: Molecular Pathways and Current Advancement in Treatment

    Science.gov (United States)

    Polireddy, Kishore; Chen, Qi

    2016-01-01

    Pancreatic cancer is one of the most lethal cancers among all malignances, with a median overall survival of cancers harbor a variety of genetic alternations that render it difficult to treat even with targeted therapy. Recent studies revealed that pancreatic cancers are highly enriched with a cancer stem cell (CSC) population, which is resistant to chemotherapeutic drugs, and therefore escapes chemotherapy and promotes tumor recurrence. Cancer cell epithelial to mesenchymal transition (EMT) is highly associated with metastasis, generation of CSCs, and treatment resistance in pancreatic cancer. Reviewed here are the molecular biology of pancreatic cancer, the major signaling pathways regulating pancreatic cancer EMT and CSCs, and the advancement in current clinical and experimental treatments for pancreatic cancer.

  14. Conserved features of cancer cells define their sensitivity of HAMLET-induced death; c-Myc and glycolysis

    OpenAIRE

    Storm, Petter; Puthia, Manoj Kumar; Aits, Sonja; Urbano, Alexander; Northen, Trent; Powers, Scott; Bowen, Ben; Chao, Yinxia; Reindl, Wolfgang; Lee, Do Yup; Sullivan, Nancy Liu; Zhang, Jianping; Trulsson, Maria; Yang, Henry; Watson, James

    2011-01-01

    HAMLET is the first member of a new family of tumoricidal protein-lipid complexes that kill cancer cells broadly, while sparing healthy, differentiated cells. Many and diverse tumor cell types are sensitive to the lethal effect, suggesting that HAMLET identifies and activates conserved death pathways in cancer cells. Here we investigated the molecular basis for the difference in sensitivity between cancer cells and healthy cells. Using a combination of small hairpin RNA inhibition, proteomic ...

  15. Altered features and increased chemosensitivity of human breast cancer cells mediated by adipose tissue-derived mesenchymal stromal cells

    International Nuclear Information System (INIS)

    Mesenchymal stromal cells (MSCs) represent heterogeneous cell population suitable for cell therapies in regenerative medicine. MSCs can also substantially affect tumor biology due to their ability to be recruited to the tumor stroma and interact with malignant cells via direct contacts and paracrine signaling. The aim of our study was to characterize molecular changes dictated by adipose tissue-derived mesenchymal stromal cells (AT-MSCs) and the effects on drug responses in human breast cancer cells SKBR3. The tumor cells were either directly cocultured with AT-MSCs or exposed to MSCs-conditioned medium (MSC-CM). Changes in cell biology were evaluated by kinetic live cell imaging, fluorescent microscopy, scratch wound assay, expression analysis, cytokine secretion profiling, ATP-based viability and apoptosis assays. The efficiency of cytotoxic treatment in the presence of AT-MSCs or MSCs-CM was analyzed. The AT-MSCs altered tumor cell morphology, induced epithelial-to-mesenchymal transition, increased mammosphere formation, cell confluence and migration of SKBR3. These features were attributed to molecular changes induced by MSCs-secreted cytokines and chemokines in breast cancer cells. AT-MSCs significantly inhibited the proliferation of SKBR3 cells in direct cocultures which was shown to be dependent on the SDF-1α/CXCR4 signaling axis. MSC-CM-exposed SKBR3 or SKBR3 in direct coculture with AT-MSCs exhibited increased chemosensitivity and induction of apoptosis in response to doxorubicin and 5-fluorouracil. Our work further highlights the multi-level nature of tumor-stromal cell interplay and demonstrates the capability of AT-MSCs and MSC-secreted factors to alter the anti-tumor drug responses

  16. Dynamic features of carboxy cytoglobin distal mutants investigated by molecular dynamics simulations.

    Science.gov (United States)

    Zhao, Cong; Du, Weihong

    2016-04-01

    Cytoglobin (Cgb) is a member of hemoprotein family with roles in NO metabolism, fibrosis, and tumourigenesis. Similar to other hemoproteins, Cgb structure and functions are markedly influenced by distal key residues. The sixth ligand His(81) (E7) is crucial to exogenous ligand binding, heme pocket conformation, and physiological roles of this protein. However, the effects of other key residues on heme pocket and protein biological functions are not well known. In this work, a molecular dynamics (MD) simulation study of two single mutants in CO-ligated Cgb (L46FCgbCO and L46VCgbCO) and two double mutants (L46FH81QCgbCO and L46VH81QCgbCO) was conducted to explore the effects of the key distal residues Leu(46)(B10) and His(81)(E7) on Cgb structure and functions. Results indicated that the distal mutation of B10 and E7 affected CgbCO dynamic properties on loop region fluctuation, internal cavity rearrangement, and heme motion. The distal conformation change was reflected by the distal key residues Gln(62) (CD3) and Arg(84)(E10). The hydrogen bond between heme propionates with CD3 or E10 residues were evidently influenced by B10/E7 mutation. Furthermore, heme pocket rearrangement was also observed based on the distal pocket volume and occurrence rate of inner cavities. The mutual effects of B10 and E7 residues on protein conformational rearrangement and other dynamic features were expressed in current MD studies of CgbCO and its distal mutants, suggesting their crucial role in heme pocket stabilization, ligand binding, and Cgb biological functions. The mutation of distal B10 and E7 residues affects the dynamic features of carboxy cytoglobin. PMID:26841790

  17. Molecular markers in prostate cancer.Part I:predicting lethality

    Institute of Scientific and Technical Information of China (English)

    Sachin Agrawal; William D.Dunsmuir

    2009-01-01

    Assessing the lethality of 'early,' potentially organ-confined prostate cancer (PCa) is one of the central controversies in moderu-day urological clinical practice.Such cases are often considered for radical 'curative' treatment,although active surveillance may be equally appropriate for many men.Moreover,the balance between judicious intervention and overtreatment can be difficult to judge.The patient's age,comorbidities,family history and philosophy of self-health care can be weighed against clinical features such as the palpability of disease,the number and percentage of biopsy cores involved with the disease,histological grade,presenting prostate-specific antigen (PSA) and possible previous PSA kinetics.For many years,scientists and physicians have sought additional molecular factors that may be predictive for disease stage,progression and lethality.Usually,claims for a 'new' unique marker fall short of true clinical value.More often than not,such molecular markers are useful only in multivariate models.This review summarizes relevant molecular markers and models reported up to and including 2008.

  18. From Molecular Biology to Clinical Trials: Toward Personalized Colorectal Cancer Therapy.

    Science.gov (United States)

    Palma, Sabina; Zwenger, Ariel O; Croce, María V; Abba, Martín C; Lacunza, Ezequiel

    2016-06-01

    During the past years, molecular studies through high-throughput technologies have led to the confirmation of critical alterations in colorectal cancer (CRC) and the discovery of some new ones, including mutations, DNA methylations, and structural chromosomal changes. These genomic alterations might act in concert to dysregulate specific signaling pathways that normally exert their functions on critical cell phenotypes, including the regulation of cellular metabolism, proliferation, differentiation, and survival. Targeted therapy against key components of altered signaling pathways has allowed an improvement in CRC treatment. However, a significant percentage of patients with CRC and metastatic CRC will not benefit from these targeted therapies and will be restricted to systemic chemotherapy. Mechanisms of resistance have been associated with specific gene alterations. To fully understand the nature and significance of the genetic and epigenetic defects in CRC that might favor a tumor evading a given therapy, much work remains. Therefore, a dynamic link between basic molecular research and preclinical studies, which ultimately constitute the prelude to standardized therapies, is very important to provide better and more effective treatments against CRC. We present an updated revision of the main molecular features of CRC and their associated therapies currently under study in clinical trials. Moreover, we performed an unsupervised classification of CRC clinical trials with the aim of obtaining an overview of the future perspectives of preclinical studies. PMID:26777471

  19. Breast Cancer with Neoductgenesis: Histopathological Criteria and Its Correlation with Mammographic and Tumour Features

    Directory of Open Access Journals (Sweden)

    Wenjing Zhou

    2014-01-01

    Full Text Available Introduction. Breast cancer with mammographic casting type calcifications, high grade DCIS with an abnormal number of ducts, periductal desmoplastic reaction, lymphocyte infiltration, and tenascin-C (TN-C overexpression has been proposed to represent a more aggressive form of breast cancer and has been denominated as breast cancer with neoductgenesis. We developed histopathological criteria for neoductgenesis in order to study reproducibility and correlation with other tumour markers. Methods. 74 cases of grades 2 and 3 DCIS, with or without an invasive component, were selected. A combined score of the degree(s of concentration of ducts, lymphocyte infiltration, and periductal fibrosis was used to classify cases as showing neoductgenesis, or not. Diagnostic reproducibility, correlation with tumour markers, and mammographic features were studied. Results. Twenty-three of 74 cases were diagnosed with neoductgenesis. The kappa value between pathologists showed moderate reproducibility (0.50 (95% CI; 0.41–0.60. Neoductgenesis correlated significantly with malignant type microcalcifications and TN-C expression (P=0.008 and 0.04 and with ER, PR, and HER2 status (P<0.00001 for all three markers. Conclusions. We developed histological criteria for breast cancer with neoductgenesis. Neoductgenesis, by our applied histopathological definition was related to more aggressive tumour biology and malignant mammographic calcifications.

  20. Comparison of MRI of liver cancer (preoperative and resected liver specimen) and pathological feature

    International Nuclear Information System (INIS)

    Twenty-one nodules of hepatocellular carcinoma (HCC) and eighteen nodules of liver metastasis, which were confirmed pathologically, were investigated by MRI before operation and MRI of resected liver specimen. Pre-operative MRI pointed out all HCCs and seventeen metastases. STIR method was most useful for detection of HCCs. T2WI and STIR method were most useful for detection of liver metastases. Pre-operative MRI also revealed 93% of capsule formation, 29% of septal formation, 75% of fatty metamorphosis of HCC and 75% of necrosis of liver metastasis, and post-operative MRI of resected specimens revealed 100% of capsule formation, 71% of septal formation, 75% of fatty metamorphosis of HCC and 88% of necrosis of liver metastasis. T1WI showed a high intensity halo surrounding metastasis. This characteristic peripheral halo was seen in 22% of metastases. These findings corresponded to pathological feature of liver cancer. MRI was thought to be useful diagnostic modality of liver cancer. (author)

  1. Beyond breast cancer: mammographic features and mortality risk in a population of healthy women.

    Directory of Open Access Journals (Sweden)

    Rachel A Murphy

    Full Text Available BACKGROUND: Breast fibroglandular (dense tissue is a risk factor for breast cancer. Beyond breast cancer, little is known regarding the prognostic significance of mammographic features. METHODS: We evaluated relationships between nondense (fatty breast area and dense area with all-cause mortality in 4,245 initially healthy women from the Breast Cancer Detection Demonstration Project; 1,361 died during a mean follow-up of 28.2 years. Dense area and total breast area were assessed using planimeter measurements from screening mammograms. Percent density reflects dense area relative to breast area and nondense area was calculated as the difference between total breast area and dense area. Hazard ratios (HRs and 95% confidence intervals (CIs were estimated by Cox proportional hazards regression. RESULTS: In age-adjusted models, greater nondense and total breast area were associated with increased risk of death (HR 1.17, 95% CI 1.10-1.24 and HR 1.13, 95% CI 1.06-1.19, per SD difference while greater dense area and percent density were associated with lower risk of death (HR 0.91, 95% CI 0.86-0.95 and HR 0.87, 95% CI 0.83-0.92, per SD difference. Associations were not attenuated with adjustment for race, education, mammogram type (x-ray or xerogram, smoking status, diabetes and heart disease. With additional adjustment for body mass index, associations were diminished for all features but remained statistically significant for dense area (HR 0.94, 95% CI 0.89-0.99, per SD difference and percent density (HR 0.93, 95% CI 0.87-0.98, per SD difference. CONCLUSIONS: These data indicate that dense area and percent density may relate to survival in healthy women and suggest the potential utility of mammograms beyond prediction of breast cancer risk.

  2. Expression of BNIP3 in invasive breast cancer: correlations with the hypoxic response and clinicopathological features

    International Nuclear Information System (INIS)

    Bcl-2/adenovirus E1B 19 kDa-interacting protein 3 (BNIP3) is a pro-apoptotic member of the Bcl-2 family induced under hypoxia. Low or absent expression has recently been described in human tumors, including gastrointestinal tumors, resulting in poor prognosis. Little is known about BNIP3 expression in invasive breast cancer. The aim of the present study was to investigate the expression of BNIP3 in invasive breast cancer at the mRNA and protein level in correlation with the hypoxic response and clinicopathological features. In 40 cases of invasive breast cancer, BNIP3 mRNA in situ hybridization was performed on frozen sections with a digoxigenin labeled anti-BNIP3 probe. Paraffin embedded sections of the same specimens were used to determine protein expression of BNIP3, Hypoxia Inducible Factor 1 alpha (HIF-1α) and its downstream targets Glucose Transporter 1 (Glut-1) and Carbonic Anhydrase (CAIX) by immunohistochemistry. BNIP3 mRNA was expressed in 16/40 (40%) of the cases and correlated with BNIP3 protein expression (p = 0.0218). Neither BNIP3 protein nor mRNA expression correlated with expression of HIF-1α expression or its downstream targets. Tumors which showed loss of expression of BNIP3 had significantly more often lymph node metastases (82% vs 39%, p = 0.010) and showed a higher mitotic activity index (p = 0.027). BNIP3 protein expression was often nuclear in normal breast, but cytoplasmic in tumor cells. BNIP3 expression is lost in a significant portion of invasive breast cancers, which is correlated with poor prognostic features such as positive lymph node status and high proliferation, but not with the hypoxic response

  3. Expression of BNIP3 in invasive breast cancer: correlations with the hypoxic response and clinicopathological features

    Directory of Open Access Journals (Sweden)

    de Weger Roel A

    2009-06-01

    Full Text Available Abstract Background Bcl-2/adenovirus E1B 19 kDa-interacting protein 3 (BNIP3 is a pro-apoptotic member of the Bcl-2 family induced under hypoxia. Low or absent expression has recently been described in human tumors, including gastrointestinal tumors, resulting in poor prognosis. Little is known about BNIP3 expression in invasive breast cancer. The aim of the present study was to investigate the expression of BNIP3 in invasive breast cancer at the mRNA and protein level in correlation with the hypoxic response and clinicopathological features. Methods In 40 cases of invasive breast cancer, BNIP3 mRNA in situ hybridization was performed on frozen sections with a digoxigenin labeled anti-BNIP3 probe. Paraffin embedded sections of the same specimens were used to determine protein expression of BNIP3, Hypoxia Inducible Factor 1 alpha (HIF-1α and its downstream targets Glucose Transporter 1 (Glut-1 and Carbonic Anhydrase (CAIX by immunohistochemistry. Results BNIP3 mRNA was expressed in 16/40 (40% of the cases and correlated with BNIP3 protein expression (p = 0.0218. Neither BNIP3 protein nor mRNA expression correlated with expression of HIF-1α expression or its downstream targets. Tumors which showed loss of expression of BNIP3 had significantly more often lymph node metastases (82% vs 39%, p = 0.010 and showed a higher mitotic activity index (p = 0.027. BNIP3 protein expression was often nuclear in normal breast, but cytoplasmic in tumor cells. Conclusion BNIP3 expression is lost in a significant portion of invasive breast cancers, which is correlated with poor prognostic features such as positive lymph node status and high proliferation, but not with the hypoxic response.

  4. Correlation of primary tumor FDG uptake with histopathologic features of advanced gastric cancer

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Hae Won; Won, Kyoung Sook; Song, Bong Il; Kang, Yu Na [Keimyung University Dongsan Medical Center, Daegu (Korea, Republic of)

    2015-06-15

    Histopathologic features could affect the FDG uptake of primary gastric cancer and detection rate on FDG PET/CT. The aim of this study was to evaluate the FDG uptake of primary gastric cancer by correlating it with the histopathologic features of the tumors. Fifty patients with locally advanced gastric adenocarcinoma who were referred for preoperative FDG-PET/CT scans were enrolled in this study. The detection rate of PET/CT and maximum standardized uptake values (SUV{sub max}) of the primary tumor were compared using the WHO, Lauren, Ming and Borrmann classifications and tumor size and location. In 45 of the 50 patients (90 %), the primary gastric tumors were detected by FDG PET/CT. On comparison using the WHO classification, the detection rate and SUV{sub max} of the tubular type were significantly higher than those of the poorly cohesive type. On comparison using the Lauren and Ming classifications, the SUV{sub maxs} of the intestinal type and expanding type were significantly higher than those of the diffuse and infiltrative type, respectively. On comparison using the Borrmann classification and tumor size and location, there was no significant difference in the detection rate and SUV{sub max} of primary gastric tumors. This study demonstrates that the poorly cohesive type according to the WHO classification, diffuse type according to the Lauren classification and infiltrative type according to the Ming classification have low FDG uptake in patients with locally advanced gastric carcinoma. Understanding the relationship between primary tumor FDG uptake and histopathologic features would be helpful in detecting the primary tumor by FDG PET/CT in patients with gastric cancer.

  5. Complete mitochondrial DNA sequences of six snakes: phylogenetic relationships and molecular evolution of genomic features.

    Science.gov (United States)

    Dong, Songyu; Kumazawa, Yoshinori

    2005-07-01

    Complete mitochondrial DNA (mtDNA) sequences were determined for representative species from six snake families: the acrochordid little file snake, the bold boa constrictor, the cylindrophiid red pipe snake, the viperid himehabu, the pythonid ball python, and the xenopeltid sunbeam snake. Thirteen protein-coding genes, 22 tRNA genes, 2 rRNA genes, and 2 control regions were identified in these mtDNAs. Duplication of the control region and translocation of the tRNALeu gene were two notable features of the snake mtDNAs. The duplicate control regions had nearly identical nucleotide sequences within species but they were divergent among species, suggesting concerted sequence evolution of the two control regions. In addition, the duplicate control regions appear to have facilitated an interchange of some flanking tRNA genes in the viperid lineage. Phylogenetic analyses were conducted using a large number of sites (9570 sites in total) derived from the complete mtDNA sequences. Our data strongly suggested a new phylogenetic relationship among the major families of snakes: ((((Viperidae, Colubridae), Acrochordidae), (((Pythonidae, Xenopeltidae), Cylindrophiidae), Boidae)), Leptotyphlopidae). This conclusion was distinct from a widely accepted view based on morphological characters in denying the sister-group relationship of boids and pythonids, as well as the basal divergence of nonmacrostomatan cylindrophiids. These results imply the significance to reconstruct the snake phylogeny with ample molecular data, such as those from complete mtDNA sequences. PMID:16007493

  6. Molecular features in complex environment: Cooperative team players during excited state bond cleavage.

    Science.gov (United States)

    Thallmair, Sebastian; Roos, Matthias K; de Vivie-Riedle, Regina

    2016-07-01

    Photoinduced bond cleavage is often employed for the generation of highly reactive carbocations in solution and to study their reactivity. Diphenylmethyl derivatives are prominent precursors in polar and moderately polar solvents like acetonitrile or dichloromethane. Depending on the leaving group, the photoinduced bond cleavage occurs on a femtosecond to picosecond time scale and typically leads to two distinguishable products, the desired diphenylmethyl cations (Ph2CH(+)) and as competing by-product the diphenylmethyl radicals ([Formula: see text]). Conical intersections are the chief suspects for such ultrafast branching processes. We show for two typical examples, the neutral diphenylmethylchloride (Ph2CH-Cl) and the charged diphenylmethyltriphenylphosphonium ions ([Formula: see text]) that the role of the conical intersections depends not only on the molecular features but also on the interplay with the environment. It turns out to differ significantly for both precursors. Our analysis is based on quantum chemical and quantum dynamical calculations. For comparison, we use ultrafast transient absorption measurements. In case of Ph2CH-Cl, we can directly connect the observed signals to two early three-state and two-state conical intersections, both close to the Franck-Condon region. In case of the [Formula: see text], dynamic solvent effects are needed to activate a two-state conical intersection at larger distances along the reaction coordinate. PMID:26958588

  7. Physiological and Molecular Features of Puccinellia tenuiflora Tolerating Salt and Alkaline-Salt Stress

    Institute of Scientific and Technical Information of China (English)

    Xia Zhang; Liqin Wei; Zizhang Wang; Tai Wang

    2013-01-01

    Saline-alkali soil seriously threatens agriculture productivity; therefore,understanding the mechanism of plant tolerance to alkaline-salt stress has become a major challenge.Halophytic Puccinellia tenuiflora can tolerate salt and alkaline-salt stress,and is thus an ideal plant for studying this tolerance mechanism.In this study,we examined the salt and alkaline-salt stress tolerance of P.tenuiflora,and analyzed gene expression profiles under these stresses.Physiological experiments revealed that P.tenuiflora can grow normally with maximum stress under 600 mmol/L NaCl and 150 mmol/L Na2CO3 (pH 11.0)for 6 d.We identified 4,982 unigenes closely homologous to rice and barley.Furthermore,1,105 genes showed differentially expressed profiles under salt and alkaline-salt treatments.Differentially expressed genes were overrepresented in functions of photosynthesis,oxidation reduction,signal transduction,and transcription regulation.Almost all genes downregulated under salt and alkaline-salt stress were related to cell structure,photosynthesis,and protein synthesis.Comparing with salt stress,alkaline-salt stress triggered more differentially expressed genes and significantly upregulated genes related to H+ transport and citric acid synthesis.These data indicate common and diverse features of salt and alkalinesalt stress tolerance,and give novel insights into the molecular and physiological mechanisms of plant salt and alkaline-salt tolerance.

  8. Lung cancer molecular epidemiology in China: recent trends

    OpenAIRE

    Zhou, Caicun

    2014-01-01

    Lung cancer is both the most common diagnosed cancer and the leading cause of cancer related deaths in China. During the past three decades, the incidence and mortality of lung cancer in China are increasing rapidly. According to data from National Central Cancer Registry (NCCR) in 2010, the crude incidence of lung cancer in China was 46.08 per 100,000 population (61.86 per 100,000 men and 29.54 per 100,000 women), with an estimated over 600,000 new diagnosed lung cancer patients (416,333 mal...

  9. Correlation between High Resolution Dynamic MR Features and Prognostic Factors in Breast Cancer

    International Nuclear Information System (INIS)

    To correlate high resolution dynamic MR features with prognostic factors in breast cancer. One hundred and ninety-four women with invasive ductal carcinomas underwent dynamic MR imaging using T1-weighted three dimensional fast low-angle shot (3D-FLASH) sequence within two weeks prior to surgery. Morphological and kinetic MR features were determined based on the breast imaging and reporting data system (BI-RADS) MR imaging lexicon. Histological specimens were analyzed for tumor size, axillary lymph node status, histological grade, expression of estrogen receptor (ER), expression of progesterone receptor (PR), and expression of p53, c-erbB-2, and Ki-67. Correlations between the MR features and prognostic factors were determined using the Pearson x2 test, linear-by-linear association, and logistic regression analysis. By multivariate analysis, a spiculated margin was a significant, independent predictor of a lower histological grade (p < 0.001), and lower expression of Ki-67 (p = 0.007). Rim enhancement was significant, independent predictor of a higher histological grade (p < 0.001), negative expression of ER (p 0.001), negative expression of PR (p < 0.001) and a larger tumor size (p = 0.006). A washout curve may predict a higher level of Ki-67 (p = 0.05). Most of the parameters of the initial enhancement phase cannot predict the status of the prognostic factors. Only the enhancement ratio may predict a larger tumor size (p 0.05). Of the BI-RADS-MR features, a spiculated margin may predict favorable prognosis, whereas rim enhancement or washout may predict unfavorable prognosis of breast cancer

  10. Molecular markers as therapeutic targets in lung cancer

    OpenAIRE

    Hsin-Hui Tseng; Biao He

    2013-01-01

    Lung cancer is responsible for 29% of cancer deaths in the United States and has very low 5-year survival rates of approximately 11% in men and 15% in women. Although the early diagnosis of lung cancer may increase the survival rate with adequate treatment, advanced lung cancers are often metastasized and receive limited benefit from therapeutic regimens. As conventional treatments for lung cancer reach their limitations, researchers have attempted to discover novel drug therapies aimed at sp...

  11. Using molecular docking to investigate the anti-breast cancer activity of low molecular weight compounds present on wild mushrooms.

    OpenAIRE

    Froufe, Hugo J. C.; Abreu, Rui M. V.; Ferreira, Isabel C. F. R.

    2011-01-01

    Mushrooms represent an unlimited source of compounds with antitumor and immunostimulating properties and mushroom intake as been shown to reduce the risk of breast cancer. A large number of LMW (low molecular weight) compounds present in mushrooms have been identified including: phenolic acids, flavonoids, tocopherols, carotenoids, sugars and fatty acids. In order to evaluate which wild mushroom LMW compounds may be involved in anti-breast cancer activity we selected a representative dataset ...

  12. A Comparative Analysis of Swarm Intelligence Techniques for Feature Selection in Cancer Classification

    Directory of Open Access Journals (Sweden)

    Chellamuthu Gunavathi

    2014-01-01

    Full Text Available Feature selection in cancer classification is a central area of research in the field of bioinformatics and used to select the informative genes from thousands of genes of the microarray. The genes are ranked based on T-statistics, signal-to-noise ratio (SNR, and F-test values. The swarm intelligence (SI technique finds the informative genes from the top-m ranked genes. These selected genes are used for classification. In this paper the shuffled frog leaping with Lévy flight (SFLLF is proposed for feature selection. In SFLLF, the Lévy flight is included to avoid premature convergence of shuffled frog leaping (SFL algorithm. The SI techniques such as particle swarm optimization (PSO, cuckoo search (CS, SFL, and SFLLF are used for feature selection which identifies informative genes for classification. The k-nearest neighbour (k-NN technique is used to classify the samples. The proposed work is applied on 10 different benchmark datasets and examined with SI techniques. The experimental results show that the results obtained from k-NN classifier through SFLLF feature selection method outperform PSO, CS, and SFL.

  13. A comparative analysis of swarm intelligence techniques for feature selection in cancer classification.

    Science.gov (United States)

    Gunavathi, Chellamuthu; Premalatha, Kandasamy

    2014-01-01

    Feature selection in cancer classification is a central area of research in the field of bioinformatics and used to select the informative genes from thousands of genes of the microarray. The genes are ranked based on T-statistics, signal-to-noise ratio (SNR), and F-test values. The swarm intelligence (SI) technique finds the informative genes from the top-m ranked genes. These selected genes are used for classification. In this paper the shuffled frog leaping with Lévy flight (SFLLF) is proposed for feature selection. In SFLLF, the Lévy flight is included to avoid premature convergence of shuffled frog leaping (SFL) algorithm. The SI techniques such as particle swarm optimization (PSO), cuckoo search (CS), SFL, and SFLLF are used for feature selection which identifies informative genes for classification. The k-nearest neighbour (k-NN) technique is used to classify the samples. The proposed work is applied on 10 different benchmark datasets and examined with SI techniques. The experimental results show that the results obtained from k-NN classifier through SFLLF feature selection method outperform PSO, CS, and SFL. PMID:25157377

  14. Animal models and therapeutic molecular targets of cancer: utility and limitations

    Directory of Open Access Journals (Sweden)

    Cekanova M

    2014-10-01

    Full Text Available Maria Cekanova, Kusum Rathore Department of Small Animal Clinical Sciences, College of Veterinary Medicine, The University of Tennessee, Knoxville, TN, USA Abstract: Cancer is the term used to describe over 100 diseases that share several common hallmarks. Despite prevention, early detection, and novel therapies, cancer is still the second leading cause of death in the USA. Successful bench-to-bedside translation of basic scientific findings about cancer into therapeutic interventions for patients depends on the selection of appropriate animal experimental models. Cancer research uses animal and human cancer cell lines in vitro to study biochemical pathways in these cancer cells. In this review, we summarize the important animal models of cancer with focus on their advantages and limitations. Mouse cancer models are well known, and are frequently used for cancer research. Rodent models have revolutionized our ability to study gene and protein functions in vivo and to better understand their molecular pathways and mechanisms. Xenograft and chemically or genetically induced mouse cancers are the most commonly used rodent cancer models. Companion animals with spontaneous neoplasms are still an underexploited tool for making rapid advances in human and veterinary cancer therapies by testing new drugs and delivery systems that have shown promise in vitro and in vivo in mouse models. Companion animals have a relatively high incidence of cancers, with biological behavior, response to therapy, and response to cytotoxic agents similar to those in humans. Shorter overall lifespan and more rapid disease progression are factors contributing to the advantages of a companion animal model. In addition, the current focus is on discovering molecular targets for new therapeutic drugs to improve survival and quality of life in cancer patients. Keywords: mouse cancer model, companion animal cancer model, dogs, cats, molecular targets

  15. Genomic analyses identify molecular subtypes of pancreatic cancer.

    Science.gov (United States)

    Bailey, Peter; Chang, David K; Nones, Katia; Johns, Amber L; Patch, Ann-Marie; Gingras, Marie-Claude; Miller, David K; Christ, Angelika N; Bruxner, Tim J C; Quinn, Michael C; Nourse, Craig; Murtaugh, L Charles; Harliwong, Ivon; Idrisoglu, Senel; Manning, Suzanne; Nourbakhsh, Ehsan; Wani, Shivangi; Fink, Lynn; Holmes, Oliver; Chin, Venessa; Anderson, Matthew J; Kazakoff, Stephen; Leonard, Conrad; Newell, Felicity; Waddell, Nick; Wood, Scott; Xu, Qinying; Wilson, Peter J; Cloonan, Nicole; Kassahn, Karin S; Taylor, Darrin; Quek, Kelly; Robertson, Alan; Pantano, Lorena; Mincarelli, Laura; Sanchez, Luis N; Evers, Lisa; Wu, Jianmin; Pinese, Mark; Cowley, Mark J; Jones, Marc D; Colvin, Emily K; Nagrial, Adnan M; Humphrey, Emily S; Chantrill, Lorraine A; Mawson, Amanda; Humphris, Jeremy; Chou, Angela; Pajic, Marina; Scarlett, Christopher J; Pinho, Andreia V; Giry-Laterriere, Marc; Rooman, Ilse; Samra, Jaswinder S; Kench, James G; Lovell, Jessica A; Merrett, Neil D; Toon, Christopher W; Epari, Krishna; Nguyen, Nam Q; Barbour, Andrew; Zeps, Nikolajs; Moran-Jones, Kim; Jamieson, Nigel B; Graham, Janet S; Duthie, Fraser; Oien, Karin; Hair, Jane; Grützmann, Robert; Maitra, Anirban; Iacobuzio-Donahue, Christine A; Wolfgang, Christopher L; Morgan, Richard A; Lawlor, Rita T; Corbo, Vincenzo; Bassi, Claudio; Rusev, Borislav; Capelli, Paola; Salvia, Roberto; Tortora, Giampaolo; Mukhopadhyay, Debabrata; Petersen, Gloria M; Munzy, Donna M; Fisher, William E; Karim, Saadia A; Eshleman, James R; Hruban, Ralph H; Pilarsky, Christian; Morton, Jennifer P; Sansom, Owen J; Scarpa, Aldo; Musgrove, Elizabeth A; Bailey, Ulla-Maja Hagbo; Hofmann, Oliver; Sutherland, Robert L; Wheeler, David A; Gill, Anthony J; Gibbs, Richard A; Pearson, John V; Waddell, Nicola; Biankin, Andrew V; Grimmond, Sean M

    2016-03-01

    Integrated genomic analysis of 456 pancreatic ductal adenocarcinomas identified 32 recurrently mutated genes that aggregate into 10 pathways: KRAS, TGF-β, WNT, NOTCH, ROBO/SLIT signalling, G1/S transition, SWI-SNF, chromatin modification, DNA repair and RNA processing. Expression analysis defined 4 subtypes: (1) squamous; (2) pancreatic progenitor; (3) immunogenic; and (4) aberrantly differentiated endocrine exocrine (ADEX) that correlate with histopathological characteristics. Squamous tumours are enriched for TP53 and KDM6A mutations, upregulation of the TP63∆N transcriptional network, hypermethylation of pancreatic endodermal cell-fate determining genes and have a poor prognosis. Pancreatic progenitor tumours preferentially express genes involved in early pancreatic development (FOXA2/3, PDX1 and MNX1). ADEX tumours displayed upregulation of genes that regulate networks involved in KRAS activation, exocrine (NR5A2 and RBPJL), and endocrine differentiation (NEUROD1 and NKX2-2). Immunogenic tumours contained upregulated immune networks including pathways involved in acquired immune suppression. These data infer differences in the molecular evolution of pancreatic cancer subtypes and identify opportunities for therapeutic development. PMID:26909576

  16. Clinical features and molecular genetic analysis of a boy with Prader-Willi syndrome caused by an imprinting defect

    DEFF Research Database (Denmark)

    Schulze, A; Hansen, Claus; Baekgaard, P; Blichfeldt, S; Petersen, M B; Tommerup, Niels; Brøndum-Nielsen, K

    1997-01-01

    recurrence has been reported. In rare cases, PWS is associated with lack of gene expression from the paternal allele due to an imprinting defect. We report the clinical features and the molecular genetic analysis of the first Danish child with PWS due to a defect of the putative imprinting centre (IC). When...

  17. Multiple Adaptive Neuro-Fuzzy Inference System with Automatic Features Extraction Algorithm for Cervical Cancer Recognition

    Directory of Open Access Journals (Sweden)

    Mohammad Subhi Al-batah

    2014-01-01

    Full Text Available To date, cancer of uterine cervix is still a leading cause of cancer-related deaths in women worldwide. The current methods (i.e., Pap smear and liquid-based cytology (LBC to screen for cervical cancer are time-consuming and dependent on the skill of the cytopathologist and thus are rather subjective. Therefore, this paper presents an intelligent computer vision system to assist pathologists in overcoming these problems and, consequently, produce more accurate results. The developed system consists of two stages. In the first stage, the automatic features extraction (AFE algorithm is performed. In the second stage, a neuro-fuzzy model called multiple adaptive neuro-fuzzy inference system (MANFIS is proposed for recognition process. The MANFIS contains a set of ANFIS models which are arranged in parallel combination to produce a model with multi-input-multioutput structure. The system is capable of classifying cervical cell image into three groups, namely, normal, low-grade squamous intraepithelial lesion (LSIL and high-grade squamous intraepithelial lesion (HSIL. The experimental results prove the capability of the AFE algorithm to be as effective as the manual extraction by human experts, while the proposed MANFIS produces a good classification performance with 94.2% accuracy.

  18. Multiple adaptive neuro-fuzzy inference system with automatic features extraction algorithm for cervical cancer recognition.

    Science.gov (United States)

    Al-batah, Mohammad Subhi; Isa, Nor Ashidi Mat; Klaib, Mohammad Fadel; Al-Betar, Mohammed Azmi

    2014-01-01

    To date, cancer of uterine cervix is still a leading cause of cancer-related deaths in women worldwide. The current methods (i.e., Pap smear and liquid-based cytology (LBC)) to screen for cervical cancer are time-consuming and dependent on the skill of the cytopathologist and thus are rather subjective. Therefore, this paper presents an intelligent computer vision system to assist pathologists in overcoming these problems and, consequently, produce more accurate results. The developed system consists of two stages. In the first stage, the automatic features extraction (AFE) algorithm is performed. In the second stage, a neuro-fuzzy model called multiple adaptive neuro-fuzzy inference system (MANFIS) is proposed for recognition process. The MANFIS contains a set of ANFIS models which are arranged in parallel combination to produce a model with multi-input-multioutput structure. The system is capable of classifying cervical cell image into three groups, namely, normal, low-grade squamous intraepithelial lesion (LSIL) and high-grade squamous intraepithelial lesion (HSIL). The experimental results prove the capability of the AFE algorithm to be as effective as the manual extraction by human experts, while the proposed MANFIS produces a good classification performance with 94.2% accuracy. PMID:24707316

  19. Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine

    Directory of Open Access Journals (Sweden)

    Maolong Xi

    2016-01-01

    Full Text Available This paper focuses on the feature gene selection for cancer classification, which employs an optimization algorithm to select a subset of the genes. We propose a binary quantum-behaved particle swarm optimization (BQPSO for cancer feature gene selection, coupling support vector machine (SVM for cancer classification. First, the proposed BQPSO algorithm is described, which is a discretized version of original QPSO for binary 0-1 optimization problems. Then, we present the principle and procedure for cancer feature gene selection and cancer classification based on BQPSO and SVM with leave-one-out cross validation (LOOCV. Finally, the BQPSO coupling SVM (BQPSO/SVM, binary PSO coupling SVM (BPSO/SVM, and genetic algorithm coupling SVM (GA/SVM are tested for feature gene selection and cancer classification on five microarray data sets, namely, Leukemia, Prostate, Colon, Lung, and Lymphoma. The experimental results show that BQPSO/SVM has significant advantages in accuracy, robustness, and the number of feature genes selected compared with the other two algorithms.

  20. Molecular features of renal cell carcinoma: early diagnostics and perspectives for therapy

    OpenAIRE

    O. V. Kovaleva; O. R. Nazarova; V. B. Matveev; A. N. Gratchev

    2015-01-01

    Kidney cancer (renal cell carcinoma) is one of the major problems of modern urological oncology. In Russia renal cell carcinoma accountsfor 4.3 % of all cancers. The global incidence of renal cell carcinoma has increased over the past two decades. Worldwide renal cell carcinoma accounts for 3.6 % of all cancers and is 10th frequent malignancy. For some malignancies, for instance tumours of prostate, there are markers known that allowed improved early diagnostics. Kidney cancer, however, remai...

  1. Molecular genetic, diagnosis, prevention and gene therapy in prostatic cancer: review article

    Directory of Open Access Journals (Sweden)

    Noori Daloii MR

    2009-04-01

    Full Text Available "nThe prostate is a small gland located below the bladder and upper part of the urethra. In developed countries prostate cancer is the second common cancer (after skin cancer, and also the second leading cause of cancer death (after lung cancer among men. The several studies have been shown prostate cancer familial aggregation. The main reason for this aggregation is inheritance included genes. The family history is an important risk factor for developing the disease. The genes AR, CYP17, SRD5A2, HSD3B1 and HSD3B2 are all intimately involved in androgen metabolism and cell proliferation in the prostate. Each shows intraspecific polymorphism and variation among racial-ethnic groups that is associated with the risk of prostate cancer. Some of genes expressed in the prostate are in association with the production of seminal fluid and also with prostate cancer. Epigenetic modifications, specifically DNA hypermethylation, are believed to play an important role in the down-regulation of genes important for protection against prostate cancer. In prostate cancer numerous molecular and genetic aberrations have been described. It is now well established that cancer cells exhibit a number of genetic defects in apoptotic pathways. In this review article, the most recent data in molecular genetic, prevention and especially gene therapy in prostate cancer are introduced.

  2. Investigation on the isoform selectivity of novel kinesin-like protein 1 (KIF11) inhibitor using chemical feature based pharmacophore, molecular docking, and quantum mechanical studies.

    Science.gov (United States)

    Karunagaran, Subramanian; Subhashchandrabose, Subramaniyan; Lee, Keun Woo; Meganathan, Chandrasekaran

    2016-04-01

    Kinesin-like protein (KIF11) is a molecular motor protein that is essential in mitosis. Removal of KIF11 prevents centrosome migration and causes cell arrest in mitosis. KIF11 defects are linked to the disease of microcephaly, lymph edema or mental retardation. The human KIF11 protein has been actively studied for its role in mitosis and its potential as a therapeutic target for cancer treatment. Pharmacophore modeling, molecular docking and density functional theory approaches was employed to reveal the structural, chemical and electronic features essential for the development of small molecule inhibitor for KIF11. Hence we have developed chemical feature based pharmacophore models using Discovery Studio v 2.5 (DS). The best hypothesis (Hypo1) consisting of four chemical features (two hydrogen bond acceptor, one hydrophobic and one ring aromatic) has exhibited high correlation co-efficient of 0.9521, cost difference of 70.63 and low RMS value of 0.9475. This Hypo1 is cross validated by Cat Scramble method; test set and decoy set to prove its robustness, statistical significance and predictability respectively. The well validated Hypo1 was used as 3Dquery to perform virtual screening. The hits obtained from the virtual screening were subjected to various scrupulous drug-like filters such as Lipinski's rule of five and ADMET properties. Finally, six hit compounds were identified based on the molecular interaction and its electronic properties. Our final lead compound could serve as a powerful tool for the discovery of potent inhibitor as KIF11 agonists. PMID:26815769

  3. Finding Combination of Features from Promoter Regions for Ovarian Cancer-related Gene Group Classification

    KAUST Repository

    Olayan, Rawan S.

    2012-12-01

    In classification problems, it is always important to use the suitable combination of features that will be employed by classifiers. Generating the right combination of features usually results in good classifiers. In the situation when the problem is not well understood, data items are usually described by many features in the hope that some of these may be the relevant or most relevant ones. In this study, we focus on one such problem related to genes implicated in ovarian cancer (OC). We try to recognize two important OC-related gene groups: oncogenes, which support the development and progression of OC, and oncosuppressors, which oppose such tendencies. For this, we use the properties of promoters of these genes. We identified potential “regulatory features” that characterize OC-related oncogenes and oncosuppressors promoters. In our study, we used 211 oncogenes and 39 oncosuppressors. For these, we identified 538 characteristic sequence motifs from their promoters. Promoters are annotated by these motifs and derived feature vectors used to develop classification models. We made a comparison of a number of classification models in their ability to distinguish oncogenes from oncosuppressors. Based on 10-fold cross-validation, the resultant model was able to separate the two classes with sensitivity of 96% and specificity of 100% with the complete set of features. Moreover, we developed another recognition model where we attempted to distinguish oncogenes and oncosuppressors as one group from other OC-related genes. That model achieved accuracy of 82%. We believe that the results of this study will help in discovering other OC-related oncogenes and oncosuppressors not identified as yet.

  4. Cancer Research from Molecular Discovery to Global Health

    Science.gov (United States)

    A science writers' seminar to discuss the latest research in cancer genetics and global health efforts, including talks from leaders of NCI’s new centers of cancer genomics and global health will be held Dec. 13, 2011, at NCI.

  5. NGX6 gene mediated by promoter methylation as a potential molecular marker in colorectal cancer

    International Nuclear Information System (INIS)

    Nasopharyngeal carcinoma associated gene 6 (NGX6) is down-regulated in most colon cancer cell lines and tumor tissues when compared with their normal tissue samples. As a novel suppress tumor gene, it could inhibit colon cancer cell growth and cell cycle progression. However, little is known about the transcriptional mechanisms controlling NGX6 gene expression. Recent findings suggest that epigenetic inactivation of multiple tumor suppressor genes plays an important role in the tumorigenesis of colorectal carcinoma (CRC). In this study, we explored the role of DNA methylation in regulation of NGX6 transcription. In the present study, we cloned the NGX6 promoter with characteristics of a CpG island by luciferase reporter assay. Then, the CpG methylation status around the NGX6 promoter region in colon cancer cell lines and colorectal tumor tissues was examined by methylation-specific PCR and bisulfite DNA sequencing. Finally, 5-Aza-2'-deoxycytidine (5-Aza-dC) treatment was used to confirm the correlation between NGX6 promoter methylation and its gene inactivation. The sequence spanning positions -157 to +276 was identified as the NGX6 promoter, in which no canonical TATA boxes were found, while two CAAT boxes and GC boxes were discovered. Methylation status was observed more frequently in 40 colorectal cancer samples than in 40 adjacent normal mucosa samples (18/40 versus 7/40; P < 0.05). An analysis correlating gene methylation status with clinicopathological cancer features revealed that dense methylation of the NGX6 promoter was associated with colorectal cancer patients age (P < 0.05). Moreover, a trend was shown toward metastasis status and primary site in colorectal carcinomas with NGX6 promoter methylation (p = 0.056 and P = 0.067, respectively). In addition, 5-Aza-dC could induce NGX6 mRNA expression and NGX6 promoter demethylation in HT-29 cells. Down-regulation of NGX6 gene is related to the promoter methylation. DNA methylation of NGX6 promoter might

  6. Molecular Diagnosis for Personalized Target Therapy in Gastric Cancer

    OpenAIRE

    Cho, Jae Yong

    2013-01-01

    Gastric cancer is the second leading cause of cancer-related deaths worldwide. In advanced and metastatic gastric cancer, the conventional chemotherapy with limited efficacy shows an overall survival period of about 10 months. Patient specific and effective treatments known as personalized cancer therapy is of significant importance. Advances in high-throughput technologies such as microarray and next generation sequencing for genes, protein expression profiles and oncogenic signaling pathway...

  7. A good molecular target for prostate cancer chemotherapy

    Institute of Scientific and Technical Information of China (English)

    Sidney R Grimes

    2011-01-01

    @@ An exciting new basic medical research study shows that inhibition of the activity of the kinesin spindle protein Eg5 effectively blocks cell division and induces cell death in prostate cancer cells.1 The potent anticancer drug S-(methoxytrityl)-L-cysteine(S(MeO)TLC)spe-cifically blocks activity of Eg5 in prostate cancer cells, arrests cell division, induces cell death during mitosis and inhibits prostate cancer cells in a mouse model of prostate cancer.

  8. Molecular Markers for Breast Cancer: Prediction on Tumor Behavior

    OpenAIRE

    Bruna Karina Banin Hirata; Julie Massayo Maeda Oda; Roberta Losi Guembarovski; Carolina Batista Ariza; Carlos Eduardo Coral de Oliveira; Maria Angelica Ehara Watanabe

    2014-01-01

    Breast cancer is one of the most common cancers with greater than 1,300,000 cases and 450,000 deaths each year worldwide. The development of breast cancer involves a progression through intermediate stages until the invasive carcinoma and finally into metastatic disease. Given the variability in clinical progression, the identification of markers that could predict the tumor behavior is particularly important in breast cancer. The determination of tumor markers is a useful tool for clinical m...

  9. Brain Metastases from Colorectal Cancer: Microenvironment and Molecular Mechanisms

    OpenAIRE

    Yi-Wen Zang; Xiao-Dong Gu; Jian-Bin Xiang; Zong-You Chen

    2012-01-01

    Colorectal cancer is one of the most common digestive tract malignancies in the world. Owing to the newer and more effective systemic therapies, the life of colorectal cancer patients can be remarkably prolonged, and the incidence of brain metastases is increasing. However, little is known about the underlying mechanisms of brain metastasis from colorectal cancer. Here we review the tumor microenvironment and metastasis associated molecules in brain metastases from colorectal cancer. A furthe...

  10. Molecular biomarker set for early detection of ovarian cancer

    KAUST Repository

    Bajic, Vladimir B.

    2015-06-16

    Embodiments of the present invention concern methods and compositions related to detection of ovarian cancer, including detection of the stage of ovarian cancer, in some cases. In particular, the invention encompasses use of expression of TFAP2A and in some embodiments CA125 and/or E2F5 to identify ovarian cancer, including detecting mRNA and/or protein levels of the respective gene products. Kits for detection of ovarian cancer are also described.

  11. Study of the Molecular Recognition of Aptamers Selected through Ovarian Cancer Cell-SELEX

    OpenAIRE

    Dimitri Van Simaeys; Dalia López-Colón; Kwame Sefah; Rebecca Sutphen; Elizabeth Jimenez; Weihong Tan

    2010-01-01

    BACKGROUND: Ovarian cancer is the most lethal gynecological malignancy, and the ovarian clear cell carcinoma subtype (OCCA) demonstrates a particularly poor response to standard treatment. Improvements in ovarian cancer outcomes, especially for OCCA, could be expected from a clearer understanding of the molecular pathology that might guide strategies for earlier diagnosis and more effective treatment. METHODOLOGY/PRINCIPAL FINDINGS: Cell-SELEX technology was employed to develop new molecular ...

  12. Characterization of molecular subtypes of Korean breast cancer: An ethnically and clinically distinct population

    OpenAIRE

    Han, Wonshik; Nicolau, Monica; Noh, Dong-Young; Jeffrey, Stefanie S.

    2010-01-01

    We aimed to investigate the molecular characteristics of Korean breast cancer. A cDNA microarray study (>42k clones) was performed on 69 breast cancers and three normal breast tissues. The subjects had a high percentage of HER-2 expression, hormone receptor negativity, and young onset. Molecular subtypes according to gene expression profiles were determined and their correlations to the clinicopathologic characteristics and patients outcome were analyzed. The tumors were subdivided into lumin...

  13. Lipocalin 2 expression is associated with aggressive features of endometrial cancer

    International Nuclear Information System (INIS)

    . Increased LCN2 expression is associated with aggressive features and poor prognosis in endometrial cancer

  14. Relationship between COX-2 expression and clinicopathological features of colorectal cancers

    Institute of Scientific and Technical Information of China (English)

    詹俊; 刘建平; 朱兆华; 姚和瑞; 陈春燕

    2004-01-01

    Background Cyclo-oxgenase 2 (COX-2) is involved in prostaglandin synthesis in central nervous system, and it also plays a role in human carcinogenesis. Our purpose of this study is to investigate the COX-2 expression in different development stages of colorectal cancer, and to discuss the relationship between the gene expression and clinicopathological features of the cancer.Methods COX-2 expression was examined by immunohistochemical staining in 76 surgical specimens of colorectal cancer (44 of advanced stage and 32 of early stage), thirty-three adenomas and 18 normal colonic mucosal tissues taken by endoscopic biopsy. Kaplan-Meier survival curves and Cox proportional hazards regression were used to evaluate the relation of COX-2 to prognosis.Results COX-2 expression, divided into 4 grades from "-" to"+++", is respectively 83.3%, 16.7%, 0% and 0% in normal colonic mucosal tissues; 12.1%, 42.4%, 36.4% and 9.1% in adenomas; 6.3%, 28.1%, 46.9% and 18.7% in early colorectal cancers (ECCs), and 6.8%, 20.5%, 18.2% and 54.5% in advanced colorectal cancers (CRCs). The differences in COX-2 expression between advanced CRCs and early colorectal cancers (ECCs) as well as between the advanced CRCs and adenomas were statistically significant (P<0.01); but there was no significant difference between ECCs and adenomas. Kaplan-Meier survival analysis showed a significant difference in the survival curves between low high COX-2 groups (P<0.05). Cox proportional hazards regression showed that COX-2 expression was related to poorer long-term outcome with a hazard ratio of 2.665 unadjusted for other variables (P<0.05), and COX-2 expression was an independent risk factor of poor prognosis.Conclusions COX-2 expression is gradually up-regulated in the development from normal epithelium to adenomas and from ECCs to advanced CRCs. Alhough the COX-2 protein can not be regarded as a tumor marker to diagnose CRCs early, COX-2 expression can be regarded as an independent risk factor of poor

  15. Frequency of her-2/neu receptor positivity and its association with other features of breast cancer

    International Nuclear Information System (INIS)

    Carcinoma breast is the commonest malignancy of females all over the world and second leading cause of death due to cancer among females. In Pakistan it is more common at a young age contrary to the West where it is more common in old age (after 60 years). The objectives of this cross sectional study were to determine the frequency of HER-2/neu receptor over-expression and its association with some of the features of breast cancer like patient age, ER/PR status, tumour size, histological grade and axillary lymph node involvement. This study was conducted at Surgical C Unit, Postgraduate Medical Institute of Lady Reading Hospital, Peshawar, from January 2007 to December 2007. Study included all patients with breast cancer admitted in Surgical 'C' unit LRH, Peshawar for Modified Radical Mastectomy (MRM). The resected specimens were sent to histopathologist for immunohistochemical (IHC) studies (HER-2/neu receptor and ER/PR) and detailed histopathological analysis including tumour subtype, size, histological grade and involvement of axillary lymph nodes. Patients refusing HER-2/neu receptor immunohistochemistry were excluded from the study. Name, age, sex, other relevant data, detailed history and clinical examination findings and results of investigation were recorded. Data was analyzed with SPSS version 10. This study included 24 female patients of breast cancer having modified radical mastectomy (MRM). Age distribution ranged from 32-75 years with a Mean+-SD of age 48.3+-18.2 years. Fifteen out of 24 patients (62.5%) were >40 years, while nine patients out of 24 (37.5%) were =40 years of age. The HER-2/neu receptor status was found positive in 11 patients (45.9%) and negative in 13 patients (54%) of the total cases. HER-2/neu receptor positivity was not significantly associated with histopathological sub-type (p>0.05), number of axillary lymph nodes involved (p>0.05) and histological grade (p>0.05). While, it was significantly associated with tumour size (p<0

  16. Lobular breast cancer : molecular basis, mouse and cellular models

    NARCIS (Netherlands)

    Christgen, Matthias; Derksen, Patrick W B

    2015-01-01

    Infiltrating lobular breast cancer (ILC) is the most common special breast cancer subtype. With mutational or epigenetic inactivation of the cell adhesion molecule E-cadherin (CDH1) being confined almost exclusively to ILC, this tumor entity stands out from all other types of breast cancers. The mol

  17. Genomic, Epigenomic, and Transcriptomic Profiling towards Identifying Omics Features and Specific Biomarkers That Distinguish Uterine Leiomyosarcoma and Leiomyoma at Molecular Levels

    Science.gov (United States)

    Miyata, Tomoko; Sonoda, Kenzo; Tomikawa, Junko; Tayama, Chiharu; Okamura, Kohji; Maehara, Kayoko; Kobayashi, Hiroaki; Wake, Norio; Kato, Kiyoko; Hata, Kenichiro; Nakabayashi, Kazuhiko

    2015-01-01

    Uterine leiomyosarcoma (LMS) is the worst malignancy among the gynecologic cancers. Uterine leiomyoma (LM), a benign tumor of myometrial origin, is the most common among women of childbearing age. Because of their similar symptoms, it is difficult to preoperatively distinguish the two conditions only by ultrasound and pelvic MRI. While histopathological diagnosis is currently the main approach used to distinguish them postoperatively, unusual histologic variants of LM tend to be misdiagnosed as LMS. Therefore, development of molecular diagnosis as an alternative or confirmatory means will help to diagnose LMS more accurately. We adopted omics-based technologies to identify genome-wide features to distinguish LMS from LM and revealed that copy number, gene expression, and DNA methylation profiles successfully distinguished these tumors. LMS was found to possess features typically observed in malignant solid tumors, such as extensive chromosomal abnormalities, overexpression of cell cycle-related genes, hypomethylation spreading through large genomic regions, and frequent hypermethylation at the polycomb group target genes and protocadherin genes. We also identified candidate expression and DNA methylation markers, which will facilitate establishing postoperative molecular diagnostic tests based on conventional quantitative assays. Our results demonstrate the feasibility of establishing such tests and the possibility of developing preoperative and noninvasive methods. PMID:27057136

  18. Sputum-Based Molecular Biomarkers for the Early Detection of Lung Cancer: Limitations and Promise

    International Nuclear Information System (INIS)

    Lung cancer is the leading cause of cancer deaths, with an overall survival of 15% at five years. Biomarkers that can sensitively and specifically detect lung cancer at early stage are crucial for improving this poor survival rate. Sputum has been the target for the discovery of non-invasive biomarkers for lung cancer because it contains airway epithelial cells, and molecular alterations identified in sputum are most likely to reflect tumor-associated changes or field cancerization caused by smoking in the lung. Sputum-based molecular biomarkers include morphology, allelic imbalance, promoter hypermethylation, gene mutations and, recently, differential miRNA expression. To improve the sensitivity and reproducibility of sputum-based biomarkers, we recommend standardization of processing protocols, bronchial epithelial cell enrichment, and identification of field cancerization biomarkers

  19. [Usefulness of the oncogenetic molecular counselling in adults whith familial cancer].

    Science.gov (United States)

    Valdespino-Gómez, Víctor M; Valdespino-Castillo, Víctor E

    2016-01-01

    More than 200 cancer susceptibility syndromes (CSS) have been recognized through performing classic epidemiologic studies and genetic linkage analysis. In most CSSs clinical conditions of the patients have been identified as well as their hereditary patterns and the predisponent genes to cancer development. Cancer hereditary identification is a useful condition, since cancer family integrants may benefit of efficient strategies in early screening and in tumor prevention strategies; this consultation is performed by oncogenetic molecular medical consultants who must be scientifically competent for Human Genetics and Cancer molecular biology domains. The oncogenetic molecular consult of patients and family relatives of cancer predisposition families is a medical service in health programs of developed and developing countries; in our country this type of medical service needs to be organized and settled to be part of the integral oncology medical service. The oncogenetic molecular consultation is a structural process of assessment and communication of the associated integral problems of the cancer inherited susceptibility in familial cancer. PMID:27100983

  20. Molecular targeted therapy in gastrointestinal cancer%胃肠癌分子靶向治疗

    Institute of Scientific and Technical Information of China (English)

    Miao Xiang; Ximing Xu

    2011-01-01

    Gastrointestinal cancer is one of the highly prevalent malignant diseases worldwide which is a major cause of morbidity and mortality. Gastric cancer is the second leading cause of cancer mortality in the world and its management,especially in advanced stages, has evolved relatively little [1]. Colorectal cancer (CRC) remains the third most common malignancy and the third leading cause of cancer death worldwide [2]. The surgical treatment is still the most effective therapy for the gastrointestinal cancer. However, the majority of the patients had lost the opporunity of surgical therapy when it was detected at advanced stage, so to seek means other than surgical treatment of gastrointestinal cancer metastasis and recurrence also has an important significance. With the deeping research of the molecular biology, molecular targeted therapy has become the hotspot and focus of comprehensive treatment of gastrointestinal cancer which is proposed against the molecular biological targets such as tumor cell growth, apoptosis, cell cycle, invasion and angiogenesis. Molecular targeted therapy can be grouped into six main areas: the epidermal growth factor receptor (EGFR) inhibitors, anti-angiogenic factors, cell cycle inhibitors, apoptosis promoters and matrix metalloproteinase innhibitors, cyclooxygenase inhibitors. The review of the progress are as follows.

  1. Clinical features, outcome and risk factors in cervical cancer patients after surgery for chronic radiation enteropathy

    International Nuclear Information System (INIS)

    Radical hysterectomy and radiotherapy have long been mainstays of cervical cancer treatment. Early stage cervical cancer (FIGO stage IB1–IIA) is traditionally treated using radical surgery combined with radiotherapy, while locally advanced cervical cancer is treated using radiotherapy alone or chemoradiotherapy. In this retrospective study, we describe and analyse the presenting clinical features and outcomes in our cohort and evaluate possible risk factors for postoperative morbidity in women who underwent surgery for chronic radiation enteropathy (CRE). One hundred sixty-six eligible cervical cancer patients who underwent surgery for CRE were retrospectively identified between September 2003 and July 2014 in a prospectively maintained database. Among them, 46 patients received radical radiotherapy (RRT) and 120 received radical surgery plus radiotherapy (RS + RT). Clinical features, postoperative morbidity and mortality, and risk factors for postoperative morbidity were analysed. RS + RT group patients were more likely to present with RTOG/EORTC grade III late morbidity (76.1 % vs 92.5 %; p = 0.004), while RRT group patients tended to show RTOG/EORTC grade IV late morbidity (23.9 % vs 7.5 %; p = 0.004). One hundred forty patients (84.3 %) were treated with aggressive resection (anastomosis 57.8 % and stoma 26.5 %). Overall and major morbidity, mortality and incidence of reoperation in the RRT and RS + RT groups did not differ significantly (63 % vs 64.2 % [p = 1.000], 21.7 % vs 11.7 % [p = 0.137], 6.5 % vs 0.8 % [p = 0.065] and 6.5 % vs 3.3 % [p = 0.360], respectively). However, incidence of permanent stoma and mortality during follow-up was higher in the RRT group than in the RS + RT group (44.2 % vs 12.6 % [p = 0.000] and 16.3 % vs 3.4 % [p = 0.004], respectively). In multivariate analysis, preoperative anaemia was significantly associated with overall morbidity (p = 0.015), while severe intra-abdominal adhesion (p = 0.017), ASA grades III–V (P = 0

  2. Molecular biology and riddle of cancer: the ‘Tom & Jerry’ show

    Directory of Open Access Journals (Sweden)

    Md. Al Mamun

    2011-11-01

    Full Text Available From the conventional Bird’s eye, cancer initiation and metastasis are generally intended to be understood beneath the light of classical clonal genetic, epigenetic and cancer stem cell model. But inspite decades of investigation, molecular biology has shown hard success to give Eagle’s eye in unraveling the riddle of cancer. And it seems, tiring Tom runs in vague behind naughty Jerry.

  3. Intracellular Trafficking Considerations in the Development of Natural Ligand-Drug Molecular Conjugates for Cancer

    OpenAIRE

    Yoon, Dennis J.; Liu, Christina T.; Quinlan, Devin S.; Nafisi, Parsa M.; Kamei, Daniel T.

    2011-01-01

    Overexpressed receptors, characteristic of many cancers, have been targeted by various researchers to achieve a more specific treatment for cancer. A common approach is to use the natural ligand for the overexpressed receptor as a cancer-targeting agent which can deliver a chemically or genetically conjugated toxic molecule. However, it has been found that the therapeutic efficacy of such ligand-drug molecular conjugates can be limited, since they naturally follow the intracellular traffickin...

  4. Clinical experiences with molecular targeted therapy in lung cancer in China

    OpenAIRE

    Wang, Yan; Yan SUN

    2015-01-01

    In the past decade, a dramatic shift has been witnessed in cancer therapy in China. Although traditional cytotoxic chemotherapy still remains the treatment of choice for many malignancies, targeted therapies are now a component of treatment for many types of cancer, including lung cancer. As molecular target agents are widely used in clinical practice and relevant studies have been conducted, we have accumulated valuable experience in the treatment strategy for advanced non-small cell lung ca...

  5. Molecular Markers for Prostate Cancer in Formalin-Fixed Paraffin-Embedded Tissues

    OpenAIRE

    Tamara Sequeiros; Marta García; Melania Montes; Mireia Oliván; Marina Rigau; Eva Colás; Inés de Torres; Juan Morote; Jaume Reventós; Andreas Doll

    2013-01-01

    Prostate cancer (PCa) is the most frequently diagnosed type of cancer in developed countries. The decisive method of diagnosis is based on the results of biopsies, morphologically evaluated to determine the presence or absence of cancer. Although this approach leads to a confident diagnosis in most cases, it can be improved by using the molecular markers present in the tissue. Both miRNAs and proteins are considered excellent candidates for biomarkers in formalin-fixed paraffin-embedded (FFPE...

  6. Peptide targeted high-resolution molecular imaging of prostate cancer with MRI

    OpenAIRE

    Wu, Xueming; Yu, Guanping; Lindner, Daniel; Brady-Kalnay, Susann M.; Zhang, Qi; Lu, Zheng-Rong

    2014-01-01

    Non-invasive accurate detection of prostate cancer is critical for clinical management of the disease. Molecular MRI has a potential for accurate detection of prostate cancer with high spatial resolution. Fibronectin is a hallmark of epithelial-mesenchymal transition occurred in aggressive prostate cancer and highly expressed in malignant tumors. A pentapeptide CREKA targeted contrast agent CREKA-dL-(DOTA-Gd)4 was synthesized and evaluated to target fibrin-fibronectin complexes in tumor extra...

  7. Molecular profiling of ADAM12 in human bladder cancer

    DEFF Research Database (Denmark)

    Frolich, Camilla; Albrechtsen, Reidar; Andersen, Lars Dyrskjøt; Rudkjær, Lise; Ørntoft, Torben Falck; Wewer, Ulla M.

    2006-01-01

    PURPOSE: We have previously found ADAM12, a disintegrin and metalloprotease, to be an interesting biomarker for breast cancer. The purpose of this study was to determine the gene and protein expression profiles of ADAM12 in different grades and stages of bladder cancer. EXPERIMENTAL DESIGN: ADAM12...... staining on tissue arrays of bladder cancers. The presence and relative amount of ADAM12 in the urine of cancer patients were determined by Western blotting and densitometric measurements, respectively. RESULTS: ADAM12 mRNA expression was significantly up-regulated in bladder cancer, as determined by...... could be detected in the urine by Western blotting; ADAM12 was present in higher levels in the urine from patients with bladder cancer compared with urine from healthy individuals. Significantly, following removal of tumor by surgery, in most bladder cancer cases examined, the level of ADAM12 in the...

  8. Interaction of pathology and molecular characterization of thyroid cancers

    International Nuclear Information System (INIS)

    This paper presents the results of joint studies of thyroid cancer in children under 15 years of age between departments in Cambridge, Brussels, Naples and Munich in the European Union, and departments in Minsk, Kiev and Obninsk in the newly independent states of Eastern Europe. The pathology of 264 cases of childhood thyroid cancer out of 430 that have occurred since 1990 in the 3 countries in which high levels of fallout from the Chernobyl accident occurred has been restudied by NIS and EU pathologists. The overall level of agreement reached was about 97%. The diagnosis was supported by immunocytochemistry and ISH for the differentiation markers, thyroglobulin and calcitonin, and the tumors were classified according to the WHO, with papillary carcinomas being further subclassified. 99% of the 134 Belarussian cases were papillary carcinomas, as were 94% of the 114 Ukrainian tumors. All 9 of the Russian cases available for study were papillary in type. 76 of 154 cases of childhood thyroid cancer reviewed over a 30 year period in England and Wales and were also studied, 68% of these were papillary carcinoma. Histological study showed that a subtype of papillary carcinoma, rarely found in adults, with a solid/follicular architecture occurred in children. It was found in 72% of the Belarussian papillary carcinomas, 76% of the Ukrainian cases, but only 40% of the England and Wales cases. Molecular biological studies showed that the proportion of cases of papillary carcinoma expressing the ret gene was not significantly different in the exposed and the unexposed tumors, studies of the type of translocation leading to ret gene expression are not yet conclusive. Ras gene mutations were found as expected in follicular carcinoma, but were absent from any papillary carcinoma, whether from exposed or unexposed cases. TSH receptor mutations, normally found in follicular tumors were not found in any papillary carcinomas, nor were any p53 mutations identified. All these results

  9. Molecular mapping of 21 features associated with partial monosomy 21: Involvement of the APP-SODI region

    Energy Technology Data Exchange (ETDEWEB)

    Chettouh, Z.; Maunoury, C.; Sinet, P.M. [Hopital Necker-Enfants Malades, Parish (France)] [and others

    1995-07-01

    We compared the phenotypes, karyotypes, and molecular data for six cases of partial monosomy 21. Regions of chromosome 21, the deletion of which corresponds to particular features of monosomy 21, were thereby defined. Five such regions were identified for 21 features. Ten of the features could be assigned to the region flanked by genes APP and SOD1: six facial features, transverse palmar crease, arthrogryposis-like symptoms, hypertonia, and contribution to mental retardation. This region, covering the interface of bands 21q21-21q22.1, is 4.7-6.4 Mb long and contains the gene encoding the glutamate receptor subunit GluR5 (GRIK1). 82 refs., 5 figs., 1 tab.

  10. CLINICAL FEATURES AND CLINICAL OUTCOME OF ACUTE PROMYELOCYTIC LEUKEMIA PATIENTS TREATED AT CAIRO NATIONAL CANCER INSTITUTE IN EGYPT

    Directory of Open Access Journals (Sweden)

    Tamer M Fouad

    2011-01-01

    Full Text Available

    The current study reports the clinical features and treatment outcome of 67 patients with acute promyelocytic leukemia (APL presented to National Cancer Institute (NCI-Cairo, in Egypt from January 2007 to January 2011. The median follow-up time was 36 months. All patients were treated with the simultaneous administration of all-trans retinoic acid (ATRA and anthracyclin. The treatment protocol was modified due to resource limitations at the NCI-Cairo by replacing of idarubicin with doxorubicin in most of the cases and the inclusion of cytarbine during the consolidation phase only in pediatric patients. All patients who achieved molecular complete remission (CRm after consolidation received two-year maintenance treatment with low dose chemotherapy composed of 6 mercaptopurine, methotrexate and intermittent ATRA courses. The median age at presentation was 29 years. There was a slight male predominance (53%.  Bleeding was the most common presenting symptom (79%. Most patients had an intermediate risk Sanz score (49% and 34% had a high risk score.  All patients achieved molecular CR at end of consolidation therapy with a median duration of 100 days. The main therapeutic complications during the induction phase were febrile neutropenia (42%, bleeding (18% and differentiation syndrome (11%. Five patients died at diagnosis due to bleeding, three died during induction chemotherapy due to febrile neutropenia (n=2 and bleeding (n=1 and one patient died during consolidation therapy due to febrile neutropenia.  The 3-year OS was 89% and relapse rate was 3%. Adapting standard AIDA treatment protocols to limited resources by reducing dose-intensity during treatment consolidation, using ATRA in the consolidation phase and alternative anthracyclin (doxorubicin may be a valid treatment option in developing countries. In spite of the increased incidence of high and intermediate risk score APL in our sample, we reported an acceptable CR rate

  11. CLINICAL FEATURES AND CLINICAL OUTCOME OF ACUTE PROMYELOCYTIC LEUKEMIA PATIENTS TREATED AT CAIRO NATIONAL CANCER INSTITUTE IN EGYPT

    Directory of Open Access Journals (Sweden)

    Ola Khorshid

    2011-12-01

    Full Text Available The current study reports the clinical features and treatment outcome of 67 patients with acute promyelocytic leukemia (APL presented to National Cancer Institute (NCI-Cairo, in Egypt from January 2007 to January 2011. The median follow-up time was 36 months. All patients were treated with the simultaneous administration of all-trans retinoic acid (ATRA and anthracyclin. The treatment protocol was modified due to resource limitations at the NCI-Cairo by replacing of idarubicin with doxorubicin in most of the cases and the inclusion of cytarbine during the consolidation phase only in pediatric patients. All patients who achieved molecular complete remission (CRm after consolidation received two-year maintenance treatment with low dose chemotherapy composed of 6 mercaptopurine, methotrexate and intermittent ATRA courses. The median age at presentation was 29 years. There was a slight male predominance (53%.  Bleeding was the most common presenting symptom (79%. Most patients had an intermediate risk Sanz score (49% and 34% had a high risk score.  All patients achieved molecular CR at end of consolidation therapy with a median duration of 100 days. The main therapeutic complications during the induction phase were febrile neutropenia (42%, bleeding (18% and differentiation syndrome (11%. Five patients died at diagnosis due to bleeding, three died during induction chemotherapy due to febrile neutropenia (n=2 and bleeding (n=1 and one patient died during consolidation therapy due to febrile neutropenia.  The 3-year OS was 89% and relapse rate was 3%. Adapting standard AIDA treatment protocols to limited resources by reducing dose-intensity during treatment consolidation, using ATRA in the consolidation phase and alternative anthracyclin (doxorubicin may be a valid treatment option in developing countries. In spite of the increased incidence of high and intermediate risk score APL in our sample, we reported an acceptable CR rate, toxicity and OS.

  12. Recent advances in high-throughput molecular marker identification for superficial and invasive bladder cancers

    DEFF Research Database (Denmark)

    Andersen, Lars Dyrskjøt; Zieger, Karsten; Ørntoft, Torben Falck

    2007-01-01

    individually contributed to the management of the disease. However, the development of high-throughput techniques for simultaneous assessment of a large number of markers has allowed classification of tumors into clinically relevant molecular subgroups beyond those possible by pathological classification. Here......, we review the recent advances in high-throughput molecular marker identification for superficial and invasive bladder cancers....

  13. Molecular markers for urothelial bladder cancer prognosis: Toward implementation in clinical practice

    NARCIS (Netherlands)

    Rhijn, B.W. van; Catto, J.W.; Goebell, P.J.; Knuchel, R.; Shariat, S.F.; Poel, H.G. van der; Sanchez-Carbayo, M.; Thalmann, G.N.; Schmitz-Drager, B.J.; Kiemeney, L.A.L.M.

    2014-01-01

    OBJECTIVES: To summarize the current status of clinicopathological and molecular markers for the prediction of recurrence or progression or both in non-muscle-invasive and survival in muscle-invasive urothelial bladder cancer, to address the reproducibility of pathology and molecular markers, and to

  14. FBXW7 mutations in patients with advanced cancers: clinical and molecular characteristics and outcomes with mTOR inhibitors.

    Directory of Open Access Journals (Sweden)

    Denis L Jardim

    Full Text Available PURPOSE: FBXW7 is a tumor suppressor gene responsible for the degradation of several proto-oncogenes. Preclinical data suggest that FBXW7 mutations sensitize cells to mTOR inhibitors. Clinicopathologic characteristics of cancer patients with FBXW7 mutations and their responses to mTOR inhibitors remain unknown. METHODS: Using multiplex gene panels we evaluated how the FBXW7 mutation affected the cancer phenotype of patients referred to a phase I clinic starting January 2012. Whenever possible patients positive for FBXW7 mutation were treated with regimens containing an mTOR inhibitors and their outcomes were reviewed. RESULTS: FBXW7 mutations were detected in 17 of 418 patients (4.0%. Among tumor types with more than 10 patients tested, FBXW7 mutations occurred in colorectal cancer (7/49; 14.3%, squamous cell cancer of head and neck (2/18; 11.1%, liver (1/13; 7.7%, and ovarian cancers (1/40; 2.5%. No one clinical, pathological or demographic feature was characteristic of the FBXW7-mutated patient population. The mutation occurred in isolation in only 2/17 (12% patients, and KRAS was frequently found as a concomitant mutation, especially in patients with colorectal cancer (6/7; 86%. Ten patients were treated on a protocol containing an mTOR inhibitor, with a median time to treatment failure of 2.8 months (range, 1.3-6.8. One patient with liver cancer (fibrolamellar subtype continues to have a prolonged stable disease for 6.8+ months. CONCLUSION: In patients with advanced cancers, somatic mutations in FBXW7 usually occur with other simultaneous molecular aberrations, which can contribute to limited therapeutic efficacy of mTOR inhibitors.

  15. Biologia molecular do câncer cervical Molecular biology of cervical cancer

    Directory of Open Access Journals (Sweden)

    Waldemar Augusto Rivoire

    2006-01-01

    Full Text Available A carcinogênese é um processo de múltiplas etapas. Alterações no equilíbrio citogenético ocorrem na transformação do epitélio normal a câncer cervical. Numerosos estudos apoiam a hipótese de que a infecção por HPV está associada com o desenvolvimento de alterações malignas e pré-malignas do trato genital inferior. Neste trabalho são apresentadas as bases para a compreensão da oncogênese cervical. O ciclo celular é controlado por proto-oncogenes e genes supressores. Quando ocorrem mutações, proto-oncogenes tornam-se oncogenes, que são carcinogênicos e causam multiplicação celular excessiva. A perda da ação de genes supressores funcionais pode levar a célula ao crescimento inadequado. O ciclo celular também pode ser alterado pela ação de vírus, entre eles o HPV (Human Papiloma Virus, de especial interesse na oncogênese cervical. Os tipos de HPV 16 e 18 são os de maior interesse, freqüentemente associados a câncer cervical e anal. O conhecimento das bases moleculares que estão envolvidas na oncogênese cervical tem sido possível devido a utilização de técnicas avançadas de biologia molecular. A associação destas técnicas aos métodos diagnósticos clássicos, poderão levar a uma melhor avaliação das neoplasias cervicais e auxiliar no desenvolvimento de novas terapias, talvez menos invasivas e mais efetivas.Carcinogenesis involves several steps. Disorders of the cytogenetic balance occur during the evolution from normal epithelium to cervical cancer. Several studies support the hypothesis that the Human Papiloma Virus (HPV infection is associated to development of premalignant and malignant lesions of cervical cancer. In this review we show the basis to understand cervical oncogenesis. The cell cycle is controlled by protooncogenes and supressive genes. This orchestrated cell cycle can be affected by virus such as HPV. Of special interest in the cervical carcinogenesis are the HPV subtypes 16 and 18

  16. Predicting the pathological features of the mesorectum before the laparoscopic approach to rectal cancer.

    Science.gov (United States)

    Fernández Ananín, Sonia; Targarona, Eduardo M; Martinez, Carmen; Pernas, Juan Carlos; Hernández, Diana; Gich, Ignasi; Sancho, Francesc J; Trias, Manuel

    2014-12-01

    Pelvic anatomy and tumour features play a role in the difficulty of the laparoscopic approach to total mesorectal excision in rectal cancer. The aim of the study was to analyse whether these characteristics also influence the quality of the surgical specimen. We performed a prospective study in consecutive patients with rectal cancer located less than 12 cm from the anal verge who underwent laparoscopic surgery between January 2010 and July 2013. Exclusion criteria were T1 and T4 tumours, abdominoperineal resections, obstructive and perforated tumours, or any major contraindication for laparoscopic surgery. Dependent variables were the circumferential resection margin (CMR) and the quality of the mesorectum. Sixty-four patients underwent laparoscopic sphincter-preserving total mesorectal excision. Resection was complete in 79.1% of specimens and CMR was positive in 9.7%. Univariate analysis showed tumour depth (T status) (P = 0.04) and promontorium-subsacrum angle (P = 0.02) independently predicted CRM (circumferential resection margin) positivity. Tumour depth (P CRM. Bony pelvis dimensions influenced the quality of the specimen obtained by laparoscopy. These measurements may be useful to predict which patients will benefit most from laparoscopic surgery and also to select patients in accordance with the learning curve of trainee surgeons. PMID:24950725

  17. High-throughput genomic technology in research and clinical management of breast cancer. Molecular signatures of progression from benign epithelium to metastatic breast cancer

    OpenAIRE

    Rennstam, Karin; Hedenfalk, Ingrid

    2006-01-01

    It is generally accepted that early detection of breast cancer has great impact on patient survival, emphasizing the importance of early diagnosis. In a widely recognized model of breast cancer development, tumor cells progress through chronological and well defined stages. However, the molecular basis of disease progression in breast cancer remains poorly understood. High-throughput molecular profiling techniques are excellent tools for the study of complex molecular alterations. By accurate...

  18. Correlation between smoking history and molecular pathways in sporadic colorectal cancer: a meta-analysis

    OpenAIRE

    Chen, Ke; Xia, Guanggai; Zhang, Changhua; Sun, Yunwei

    2015-01-01

    Background: Epidemiological studies have shown that smoking increases the risk for colorectal cancer (CRC). Evidence of the guiding significance of smoking history for molecular classification and molecular targeted anti-tumor therapy is not well established. Aims: To provide indirectly evidence, we conducted a systematic meta-analysis of association between smoking history and different molecular classification. Methods: We searched in multiple databases up to January 2014, and identified 27...

  19. The origin, dynamics, and molecular evolution of transmissible cancers

    OpenAIRE

    Jones EA; Cheng Y; Belov K.

    2015-01-01

    Elizabeth A Jones, Yuanyuan Cheng, Katherine BelovFaculty of Veterinary Science, University of Sydney, NSW, AustraliaAbstract: Three transmissible cancers are known to have emerged naturally in the wild: canine transmissible venereal tumor (CTVT); Tasmanian devil facial tumor disease (DFTD); and a recently discovered leukemia-like cancer in soft-shell clams (Mya arenaria). These cancers have all acquired the ability to pass between individuals. DFTD emerged approximately 20 years ago and has ...

  20. Associations between body mass index and molecular subtypes as well as other clinical characteristics of breast cancer in Chinese women

    Directory of Open Access Journals (Sweden)

    Chen FY

    2013-03-01

    Full Text Available Fei-Yu Chen, Hui-Ying Ou, Shou-Man Wang, Yu-Hui Wu, Guo-Jiao Yan, Li-Li Tang Department of Breast Surgery, Xiangya Hospital, Central South University, Changsha City, Hunan Province, People's Republic of China Background: Several studies have shown a positive association between body mass index (BMI and the development of hormone receptor-positive breast cancer in postmenopausal women; however, the associations between BMI groups and molecular subtypes have yet to be well defined in premenopausal breast cancer patients. Methods: A total of 2465 female breast cancer patients diagnosed at our institution were recruited for this study. Clinicopathologic information (including age, body height and weight, as well as tumor subtypes and stages was collected; analyses of these characteristics and the associations between them were performed. Results: A total of 1951 cases were included in the study. The mean age was 47.3 years, the majority of patients were of normal weight, premenopausal, had stage 2 cancer, and did not present with positive nodes. The prevalence of the luminal A, luminal B, human epidermal growth factor receptor 2+, and triple-negative subtypes were 57.8%, 11.6%, 6.1%, and 24.5%, respectively. There were significant differences in the clinicopathologic features among BMI groups in premenopausal patients. The case-only odds ratio (OR analysis revealed that normal weight patients tended to have luminal B cancer (OR = 1.4, P = 0.206, and overweight and obese patients tended to have triple-negative cancer in premenopausal patients (OR = 2.8, OR = 3.7, respectively; P < 0.001. Conclusion: In Chinese women, breast cancer came with these characteristics: young mean age (premenopause, luminal A subtype, and the majority of them were within a normal weight range. In premenopausal patients, underweight patients tended to have luminal A, lower human epidermal growth factor receptor 2+ expression, stage 1 and no positive node cancer. However

  1. Basic research and clinical application of optical molecular imaging in breast cancer

    International Nuclear Information System (INIS)

    As a rapidly developing biomedical imaging technology,in vivo optical molecular imaging has been widely applied in various research fields owing to its unique real-time, quantitative and noninvasive characteristics. The applications of in vivo optical imaging technology in the basic and clinical research of breast cancer were reviewed, including detection of distant metastasis,tumor apoptosis, cell cycle, hypoxia and angiogenesis, ER-mediated molecular pathway, breast cancer stem cells, early diagnosis, sentinel node biopsy, evaluation of drug efficacy and detection of human epidermal growth factor receptor-2 (HER-2) expression. They all seem to have a promising potential in in vivo optical molecular imaging. (authors)

  2. Molecular MR imaging of cancer gene therapy. Ferritin transgene reporter takes the stage

    International Nuclear Information System (INIS)

    Molecular imaging using magnetic resonance (MR) imaging has been actively investigated and made rapid progress in the past decade. Applied to cancer gene therapy, the technique's high spatial resolution allows evaluation of gene delivery into target tissues. Because noninvasive monitoring of the duration, location, and magnitude of transgene expression in tumor tissues or cells provides useful information for assessing therapeutic efficacy and optimizing protocols, molecular imaging is expected to become a critical step in the success of cancer gene therapy in the near future. We present a brief overview of the current status of molecular MR imaging, especially in vivo reporter gene imaging using ferritin and other reporters, discuss its application to cancer gene therapy, and present our research of MR imaging detection of electroporation-mediated cancer gene therapy using the ferritin reporter gene. (author)

  3. Endoscopic molecular imaging of human bladder cancer using a CD47 antibody.

    Science.gov (United States)

    Pan, Ying; Volkmer, Jens-Peter; Mach, Kathleen E; Rouse, Robert V; Liu, Jen-Jane; Sahoo, Debashis; Chang, Timothy C; Metzner, Thomas J; Kang, Lei; van de Rijn, Matt; Skinner, Eila C; Gambhir, Sanjiv S; Weissman, Irving L; Liao, Joseph C

    2014-10-29

    A combination of optical imaging technologies with cancer-specific molecular imaging agents is a potentially powerful strategy to improve cancer detection and enable image-guided surgery. Bladder cancer is primarily managed endoscopically by white light cystoscopy with suboptimal diagnostic accuracy. Emerging optical imaging technologies hold great potential for improved diagnostic accuracy but lack imaging agents for molecular specificity. Using fluorescently labeled CD47 antibody (anti-CD47) as molecular imaging agent, we demonstrated consistent identification of bladder cancer with clinical grade fluorescence imaging systems, confocal endomicroscopy, and blue light cystoscopy in fresh surgically removed human bladders. With blue light cystoscopy, the sensitivity and specificity for CD47-targeted imaging were 82.9 and 90.5%, respectively. We detected variants of bladder cancers, which are diagnostic challenges, including carcinoma in situ, residual carcinoma in tumor resection bed, recurrent carcinoma following prior intravesical immunotherapy with Bacillus Calmette-Guérin (BCG), and excluded cancer from benign but suspicious-appearing mucosa. CD47-targeted molecular imaging could improve diagnosis and resection thoroughness for bladder cancer. PMID:25355698

  4. Meta-analysis of cancer transcriptomes: A new approach to uncover molecular pathological events in different cancer tissues

    Directory of Open Access Journals (Sweden)

    Sundus Iqbal

    2014-03-01

    Full Text Available To explore secrets of metastatic cancers, individual expression of true sets of respective genes must spread across the tissue. In this study, meta-analysis for transcriptional profiles of oncogenes was carried out to hunt critical genes or networks helping in metastasizing cancers. For this, transcriptomic analysis of different cancerous tissues causing leukemia, lung, liver, spleen, colorectal, colon, breast, bladder, and kidney cancers was performed by extracting microarray expression data from online resource; Gene Expression Omnibus. A newly developed bioinformatics technique; Dynamic Impact Approach (DIA was applied for enrichment analysis of transcriptional profiles using Database for Annotation Visualization and Integrated Discovery (DAVID. Furthermore, oPOSSUM (v. 2.0 and Cytoscape (v. 2.8.2 were used for in-depth analysis of transcription factors and regulatory gene networks respectively. DAVID analysis uncovered the most significantly enriched pathways in molecular functions that were 'Ubiquitin thiolesterase activity' up regulated in blood, breast, bladder, colorectal, lung, spleen, prostrate cancer. 'Transforming growth factor beta receptor activity' was inhibited in all cancers except leukemia, colon and liver cancer. oPOSSUM further revealed highly over-represented Transcription Factors (TFs; Broad-complex_3, Broad-complex_4, and Foxd3 except for leukemia and bladder cancer. From these findings, it is possible to target genes and networks, play a crucial role in the development of cancer. In the future, these transcription factors can serve as potential candidates for the therapeutic drug targets which can impede the deadly spread.

  5. Tobacco and Cancer

    Science.gov (United States)

    ... Cancer? Breast Cancer Colon/Rectum Cancer Lung Cancer Prostate Cancer Skin Cancer Show All Cancer Types News and Features Cancer Glossary ACS Bookstore Cancer Information Cancer Basics Cancer Prevention & Detection Signs & Symptoms of Cancer Treatments & Side Effects ...

  6. Pathological Features of Gastric Cancer in Zhuanghe High-risk Area in China during 1992-2005

    Institute of Scientific and Technical Information of China (English)

    GONG Yue-hua; SUN Li-ping; LIU Yan-hou; HUANG he; SUN Guo-peng; WANG Quan-gang; YIN Yuan-jun; YUAN Yuan

    2008-01-01

    Objective:To investigate the pathological features and chronological changes of 1003 cases with gastric cancer in Zhuanghe high-risk area during 1992-2005 and the relationship between the changes and etiology factors in order tO make a clue for gastric cancer prevention. Methods:A total of 1003 gastric cancer specimens resected surgically between 1992-2005 in Zhuanghe Center Hospital were studied.The specimens were fixed in formalin and diagnosed by routine pathology. Results:The incidence of patients with gastric cancer was highest at age of 60-69,the next high was at age of 50-59 and it was significantly higher in male than in female(P<0.001),the ratio was 3.0∶1.During the past 14 years,there were 159(15.9%)EGC,195(19.4%)moderate and 649(64.7%)advanced gastric cancer detected.In macroscopical features,type Ⅲ remained dominant in EGC,the next was mixed type in EGC.In advanced gastric cancer the Borrmann's type Ⅲ remained the dominant,the next was type Ⅱ.For nodal metastasis,positive cases were decreasing and negative were increasing in EGC,moreover negative cases were higher than positive ones each year.There was no obvious trend in advanced cancer but positive cases were higher than negative ones each year.In histological features,papillary,moderately and poorly differentiated tubular adenocarcinoma remained downtrend,mucus adenocarcinoma and undifferentiation cancer remained uptrend year after year.The radio of intestinal to diffuse type decreased from 0.78 to 0.62 during the past 14 years. Conclusion:There were significant chorological trends of pathological characteristic of gastric cancer in Zhuanghe high-risk area during the past 14 years.

  7. From molecular imaging to personalized radionuclide therapy of cancer

    International Nuclear Information System (INIS)

    Full text of publication follows. 68Gallium is a positron emitter (t1/2 68 min) which can be produced from a generator in a convenient, 'in-house' preparation and used for labeling of peptides, e.g. somatostatin analogues (SA) like DOTATOC or DOTATATE for molecular imaging of SSTR expressing tumors. Since 2004, we have performed over 7700 68Ga PET/CT studies in patients with neuroendocrine tumors (NET) and have established SSTR PET/CT as the new gold standard for imaging G1 and G2 NET (staging, re-staging, therapy response evaluation and detection of unknown primary NET). The same peptides can be labeled with 177Lutetium or 90Yttrium for radionuclide therapy, a form of personalized treatment (THERANOSTICS approach). PRRNT is based on the receptor-mediated internalization of SA. Several clinical trials indicate that PRRNT can deliver effective radiation doses to tumors. A German multi-institutional registry study with prospective follow up in 450 patients indicates that PRRT is an effective therapy for patients with G1-2 neuroendocrine tumors, irrespective of previous therapies, with a survival advantage of several years compared to other therapies and only minor side effects. Median overall survival (OS) of all patients from the start of treatment was 59 months. Median progression-free survival (PFS) measured from last cycle of therapy accounted to 41 mo. Median PFS of pancreatic NET was 39 mo. Similar results were obtained for NET of unknown primary (median PFS: 38 mo) whereas NET of small bowel had a median PFS of 51 months. Side effects like 3-4 NEThro- or hemato-toxicity were observed in only 0.2% and 2% of patients respectively. PRRNT is highly effective in the management of NET, even in advanced cases. In patients with progressive neuroendocrine tumors, fractionated, personalized PRRNT with lower doses of radioactivity given over a longer period of time (Bad Berka Concept using sequential (DUO) PRRNT) results in excellent therapeutic responses. By

  8. The origin, dynamics, and molecular evolution of transmissible cancers

    Directory of Open Access Journals (Sweden)

    Jones EA

    2015-09-01

    Full Text Available Elizabeth A Jones, Yuanyuan Cheng, Katherine BelovFaculty of Veterinary Science, University of Sydney, NSW, AustraliaAbstract: Three transmissible cancers are known to have emerged naturally in the wild: canine transmissible venereal tumor (CTVT; Tasmanian devil facial tumor disease (DFTD; and a recently discovered leukemia-like cancer in soft-shell clams (Mya arenaria. These cancers have all acquired the ability to pass between individuals. DFTD emerged approximately 20 years ago and has decimated the Tasmanian devil population. CTVT arose over 10,000 years ago in an ancient breed of dog. The clam cancer is believed to have evolved at least 40 years ago. In this manuscript, we review CTVT and DFTD, the two transmissible mammalian cancers, and provide an overview of the leukemia-like cancer of clams. We showcase how genetics and genomics have enhanced our understanding of the unique biology, origins, and evolutionary histories of these rare cancers.Keywords: transmissible cancer, devil facial tumor disease, DFTD, canine transmissible venereal tumor, origin, evolution

  9. The Genetics and Molecular Alterations of Pancreatic Cancer

    NARCIS (Netherlands)

    Wilde, R.F. de

    2015-01-01

    The prospect that pancreatic cancer will be the second most common cause of cancer death by 2030 is worrisome. Considering that the approximate 6% overall 5-year survival has not merely changed in the past decades illustrates the need to revert the bleak prognosis. Centralization of surgery (pancr

  10. Molecular genetics of cancer and tumorigenesis: Drosophila models

    Institute of Scientific and Technical Information of China (English)

    Wu-Min Deng

    2011-01-01

    Why do some cells not respond to normal control of cell division and become tumorous? Which signals trigger some tumor cells to migrate and colonize other tissues? What genetic factors are responsible for tumorigenesis and cancer development? What environmental factors play a role in cancer formation and progression? In how many ways can our bodies prevent and restrict the growth of cancerous cells?How can we identify and deliver effective drugs to fight cancer? In the fight against cancer,which kills more people than any other disease,these and other questions have long interested researchers from a diverse range of fields.To answer these questions and to fight cancer more effectively,we must increase our understanding of basic cancer biology.Model organisms,including the fruit fly Drosophila melanogaster,have played instrumental roles in our understanding of this devastating disease and the search for effective cures.Drosophila and its highly effective,easy-touse,and ever-expanding genetic tools have contributed toand enriched our knowledge of cancer and tumor formation tremendously.

  11. The effect of fasting on the important molecular mechanisms related to cancer treatment

    Directory of Open Access Journals (Sweden)

    Vahideh Keyvani

    2014-11-01

    Full Text Available Fasting does have remarkable benefits in the treatment of cancer and another diseases such as metabolic syndrome, diabetes, and a multitude of other chronic diseases. It has been determined that fasting could play an important role during cancer treatment and progression via the regulation of insulin-like growth factor-1 (IGF-1 as well as other growth factors. Also, it has been shown that fasting would enhance the chemotherapy effect in cancer patients, selectively protects normal cells and organisms from chemotherapy toxicity, while simultaneously sensitizing tumors. In this article, we discuss the benefits of fasting in the treatment of cancer through several different molecular pathways.

  12. A new molecular breast cancer subclass defined from a large scale real-time quantitative RT-PCR study

    International Nuclear Information System (INIS)

    Current histo-pathological prognostic factors are not very helpful in predicting the clinical outcome of breast cancer due to the disease's heterogeneity. Molecular profiling using a large panel of genes could help to classify breast tumours and to define signatures which are predictive of their clinical behaviour. To this aim, quantitative RT-PCR amplification was used to study the RNA expression levels of 47 genes in 199 primary breast tumours and 6 normal breast tissues. Genes were selected on the basis of their potential implication in hormonal sensitivity of breast tumours. Normalized RT-PCR data were analysed in an unsupervised manner by pairwise hierarchical clustering, and the statistical relevance of the defined subclasses was assessed by Chi2 analysis. The robustness of the selected subgroups was evaluated by classifying an external and independent set of tumours using these Chi2-defined molecular signatures. Hierarchical clustering of gene expression data allowed us to define a series of tumour subgroups that were either reminiscent of previously reported classifications, or represented putative new subtypes. The Chi2 analysis of these subgroups allowed us to define specific molecular signatures for some of them whose reliability was further demonstrated by using the validation data set. A new breast cancer subclass, called subgroup 7, that we defined in that way, was particularly interesting as it gathered tumours with specific bioclinical features including a low rate of recurrence during a 5 year follow-up. The analysis of the expression of 47 genes in 199 primary breast tumours allowed classifying them into a series of molecular subgroups. The subgroup 7, which has been highlighted by our study, was remarkable as it gathered tumours with specific bioclinical features including a low rate of recurrence. Although this finding should be confirmed by using a larger tumour cohort, it suggests that gene expression profiling using a minimal set of

  13. Molecular imaging of cancer: MR spectroscopy and beyond

    International Nuclear Information System (INIS)

    Proton magnetic resonance spectroscopic imaging is a non-invasive diagnostic tool for the investigation of cancer metabolism. As an adjunct to morphologic and dynamic magnetic resonance imaging, it is routinely used for the staging, assessment of treatment response, and therapy monitoring in brain, breast, and prostate cancer. Recently, its application was extended to other cancerous diseases, such as malignant soft-tissue tumours, gastrointestinal and gynecological cancers, as well as nodal metastasis. In this review, we discuss the current and evolving clinical applications of proton magnetic resonance spectroscopic imaging. In addition, we will briefly discuss other evolving techniques, such as phosphorus magnetic resonance spectroscopic imaging, sodium imaging and diffusion-weighted imaging in cancer assessment.

  14. mtDNA germ line variation mediated ROS generates retrograde signaling and induces pro-cancerous metabolic features

    Science.gov (United States)

    Singh, Rajnish Kumar; Srivastava, Archita; Kalaiarasan, Ponnusamy; Manvati, Siddharth; Chopra, Rupali; Bamezai, Rameshwar N. K.

    2014-01-01

    mtDNA non-synonymous germ line variation (G10398A; p.A114T) has remained equivocal with least mechanistic understanding in showing an association with cancer. This has necessitated showing in-vitro how an over-expression within mitochondria of either of the variants produces higher intracellular ROS, resulting in differential anchorage dependent and independent growth. Both these features were observed to be relatively higher in ND3:114T variant. An elevated amount of intracellular carbonylated proteins and a reduced activity of a key glycolytic enzyme, Pyruvate kinase M2, along with high glucose uptake and lactate production were other pro-cancerous features observed. The retrograde signaling through surplus ROS was generated by post-ND3 over-expression regulated nuclear gene expression epigenetically, involving selectively the apoptotic-DDR-pathways. The feature of ND3 over-expression, inducing ROS mediated pro-cancerous features in the cells in in vitro, was replicated in a pilot study in a limited number of sporadic breast tumors, suggesting the importance of mitochondrial germ-line variant(s) in enabling the cells to acquire pro-cancerous features. PMID:25300428

  15. Lung Cancer Research Is Taking On New Challenges: Knowledge of Tumors’ Molecular Diversity Is Opening New Pathways to Treatment

    OpenAIRE

    WORLEY, SUSAN

    2014-01-01

    Lung cancer treatment has undergone significant change in the past decade, leading to remarkable growth in the number and variety of therapeutic options. This shift reflects, in part, a significant refinement in the molecular categorization of lung cancer.

  16. Lung cancer in never smokers: change of a mindset in the molecular era.

    Science.gov (United States)

    Lee, Young Joo; Kim, Joo-Hang; Kim, Se Kyu; Ha, Sang-Jun; Mok, Tony S; Mitsudomi, Tetsuya; Cho, Byoung Chul

    2011-04-01

    Lung cancer is a leading cause of cancer-related mortality across the world. Although the majority of lung cancer is attributed to tobacco smoke, approximately 25% of lung cancers worldwide occur in lifelong never smokers. Over the past decades, the bulk of research on this disease suggested that several genetic, environmental, hormonal, and viral factors might increase the risk of lung cancer among never smokers. However, there has been no dominant risk factor whose significance has been validated across racial and ethnic groups. However, this subset of lung cancers has received renewed attention due to the introduction of the epidermal growth factor receptor-tyrosine kinase (EGFR-TK) inhibitors showing the dramatic therapeutic response on selected patients with activating EGFR mutations which occur more commonly in never smokers. The treatment strategy blocking EGFR pathway in EGFR-mutant lung cancer represents a remarkable example of molecular targeted therapies which completely repress tumor by inhibition of driving oncogenes. More recently, a surprising positive effect of an ALK inhibitor on EML4-ALK-positive lung cancer has been suggested that lung cancer in never smokers is likely to be an assemblage of molecularly defined subsets which would be a good candidate for personalized diagnostic and therapeutic approaches. PMID:21272954

  17. Molecular features of renal cell carcinoma: early diagnostics and perspectives for therapy

    Directory of Open Access Journals (Sweden)

    O. V. Kovaleva

    2015-06-01

    Full Text Available Kidney cancer (renal cell carcinoma is one of the major problems of modern urological oncology. In Russia renal cell carcinoma accountsfor 4.3 % of all cancers. The global incidence of renal cell carcinoma has increased over the past two decades. Worldwide renal cell carcinoma accounts for 3.6 % of all cancers and is 10th frequent malignancy. For some malignancies, for instance tumours of prostate, there are markers known that allowed improved early diagnostics. Kidney cancer, however, remains to be hard to diagnose and to treat, since the symptoms can be detected on advanced stages of the disease. In Russia 75.4 % of renal cell carcinoma cases detected at the stage of local and locally advanced disease. Though there are various target drugs on the market aimed to treat this disease, the results of renal cell carcinoma treatment did not reach any substantial success. Most of existing target drugs for kidney cancer treatment include inhibitors of a single signalingpathway regulated by VHL1, which expression is lost in the vast majority of renal-cell carcinomas. Till now existing drugs did not reach sufficient efficacy. Therefore, it is highly important to search for new signaling pathways, regulating such cellular processes as proliferation, migration and apoptosis. Further, prognostic markers and therapy targets identified so far are not sufficient and poorly specific. Therefore identification and validation of new markers, and especially new specific targets for the treatment of kindey oncopathologies is highly important and timely task.

  18. Small interfering RNA-based molecular therapy of cancers

    Institute of Scientific and Technical Information of China (English)

    Wei Guo; Wangbing Chen; Wendan Yu; Wenlin Huang; Wuguo Deng

    2013-01-01

    RNA interference (RNAi) has become a gold standard for validating gene function in basic life science research and provides a promising therapeutic modality for cancer and other diseases. This mini-review focuses on the potential of smal interfering RNAs (siRNAs) in anticancer treatment, including the establishment and screening of cancer-associated siRNA libraries and their applications in anticancer drug target discovery and cancer therapy. This article also describes the current delivery approaches of siRNAs using lipids, polymers, and, in particular, gold nanoparticles to induce significant gene silencing and tumor growth regression.

  19. Molecular target based combinational therapeutic approaches in thyroid cancer

    Directory of Open Access Journals (Sweden)

    Rajoria Shilpi

    2012-05-01

    Full Text Available Abstract Background Thyroid cancer, as with other types of cancer, is dependent on angiogenesis for its continued growth and development. Interestingly, estrogen has been shown to contribute to thyroid cancer aggressiveness in vitro, which is in full support of the observed increased incidence of thyroid cancer in women over men. Provided that estrogen has been observed to contribute to increased angiogenesis of estrogen responsive breast cancer, it is conceivable to speculate that estrogen also contributes to angiogenesis of estrogen responsive thyroid cancer. Methods In this study, three human thyroid cancer cells (B-CPAP, CGTH-W-1, ML-1 were treated with estrogen alone or estrogen and anti-estrogens (fulvestrant and 3,3′-diindolylmethane, a natural dietary compound for 24 hours. The cell culture media was then added to human umbilical vein endothelial cell (HUVECs and assayed for angiogenesis associated events. Vascular endothelial growth factor (VEGF levels were also quantified in the conditioned media so as to evaluate if it is a key player involved in these observations. Results Conditioned medium from estrogen treated thyroid cancer cells enhanced phenotypical changes (proliferation, migration and tubulogenesis of endothelial cells typically observed during angiogenesis. These phenotypic changes observed in HUVECs were determined to be modulated by estrogen induced secretion of VEGF by the cancer cells. Lastly, we show that VEGF secretion was inhibited by the anti-estrogens, fulvestrant and 3,3′-diindolylmethane, which resulted in diminished angiogenesis associated events in HUVECs. Conclusion Our data establishes estrogen as being a key regulator of VEGF secretion/expression in thyroid cells which enhances the process of angiogenesis in thyroid cancer. These findings also suggest the clinical utility of anti-estrogens as anti-angiogenic compounds to be used as a therapeutic means to treat thyroid cancer. We also observed that 3,3

  20. A Molecular Rheostat at the Interface of Cancer and Diabetes

    OpenAIRE

    Osman, Mahasin A.; Sarkar, Fazlul H.; Rodriguez-Boulan, Enrique

    2013-01-01

    Epidemiology studies revealed the connection between several types of cancer and type 2 diabetes (T2D) and suggested that T2D is both a symptom and a risk factor of pancreatic cancer. High level of circulating insulin (hyperinsulinemia) in obesity has been implicated in promoting aggressive types of cancers. Insulin resistance, a symptom of T2D, pressures pancreatic β-cells to increase insulin secretion, leading to hyperinsulinemia, which in turn leads to a gradual loss of functional β-cell m...

  1. Cancer resistance, high molecular weight hyaluronic acid, and longevity

    OpenAIRE

    Fisher, Gary J.

    2015-01-01

    Longevity varies greatly among mammals. The naked mole rat is among the longest-lived rodents, having an average lifespan of 32 years, compared to the similarly-sized house mouse with lifespan of 4 years. The rate of cancer also varies widely among mammals and interestingly, the naked mole rat is essentially cancer-free (Gorbunova et al., Nat Rev Genet 15(531):540, 2014). A series of elegant studies (Tian et al. Nature 499:346–349, 2013) has revealed that this cancer resistance derives from t...

  2. Multiple Features Based Approach to Extract Bio-molecular Event Triggers Using Conditional Random Field

    Directory of Open Access Journals (Sweden)

    Amit Majumder

    2012-11-01

    Full Text Available The purpose of Biomedical Natural Language Processing (BioNLP is to capture biomedical phenomena from textual data by extracting relevant entities, information and relations between biomedical entities (i.e. proteins and genes. In general, in most of the published papers, only binary relations were extracted. In a recent past, the focus is shifted towards extracting more complex relations in the form of bio-molecular events that may include several entities or other relations. In this paper we propose an approach that enables event trigger extraction of relatively complex bio-molecular events. We approach this problem as a detection of bio-molecular event trigger using the well-known algorithm, namely Conditional Random Field (CRF. We apply our experiments on development set. It shows the overall average recall, precision and F-measure values of 64.27504%, 69.97559% and 67.00429%, respectively for the event detection.

  3. Investigation of the molecular relationship between breast cancer and obesity by candidate gene prioritization methods

    Directory of Open Access Journals (Sweden)

    Saba Garshasbi

    2015-10-01

    Full Text Available Background: Cancer and obesity are two major public health concerns. More than 12 million cases of cancer are reported annually. Many reports confirmed obesity as a risk factor for cancer. The molecular relationship between obesity and breast cancer has not been clear yet. The purpose of this study was to investigate priorities of effective genes in the molecular relationship between obesity and breast cancer. Methods: In this study, computer simulation method was used for prioritizing the genes that involved in the molecular links between obesity and breast cancer in laboratory of systems biology and bioinformatics (LBB, Tehran University, Tehran, Iran, from March to July 2014. In this study, ENDEAVOUR software was used for prioritizing the genes and integrating multiple data sources was used for data analysis. Training genes were selected from effective genes in obesity and/or breast cancer. Two groups of candidate genes were selected. The first group was included the existential genes in 5 common region chromosomes (between obesity and breast cancer and the second group was included the results of genes microarray data analysis of research Creighton, et al (In 2012 on patients with breast cancer. The microarray data were analyzed with GER2 software (R online software on GEO website. Finally, both training and candidate genes were entered in ENDEAVOUR software package. Results: The candidate genes were prioritized to four style and five genes in ten of the first priorities were repeated twice. In other word, the outcome of prioritizing of 72 genes (Product of microarray data analysis and genes of 5 common chromosome regions (Between obesity and breast cancer showed, 5 genes (TNFRSF10B, F2, IGFALS, NTRK3 and HSP90B1 were the priorities in the molecular connection between obesity and breast cancer. Conclusion: There are some common genes between breast cancer and obesity. So, molecular relationship is confirmed. In this study the possible effect

  4. Molecular Genetics Techniques to Develop New Treatments for Brain Cancers

    Energy Technology Data Exchange (ETDEWEB)

    Fox, Jacob; Fathallan-Shaykh, Hassan

    2006-09-22

    The objectives of this report are: (1) to devise novel molecular gene therapies for malignant brain tumors, (2) advance our understanding of the immune system in the central nervous system; and (3) apply genomics to find molecular probes to diagnose brain tumors, predict prognosis, biological behavior and their response to treatment.

  5. Molecular epidemiology as a tool for understanding sporadic colorectal cancer

    Czech Academy of Sciences Publication Activity Database

    Vodička, Pavel

    Prague : EEMS, 2006. s. 131-131. [Annual Meeting of the European Environmental Mutagen Society /36./. 02.07.2006-06.07.2006, Prague] R&D Projects: GA ČR GA310/05/2626; GA MZd NR8563 Institutional research plan: CEZ:AV0Z50390512 Keywords : Molecular Epidemiology Subject RIV: EB - Genetics ; Molecular Biology

  6. Cellular and Molecular Mechanisms of 3,3′-Diindolylmethane in Gastrointestinal Cancer

    Directory of Open Access Journals (Sweden)

    Soo Mi Kim

    2016-07-01

    Full Text Available Studies in humans have shown that 3,3′-diindolylmethane (DIM, which is found in cruciferous vegetables, such as cabbage and broccoli, is effective in the attenuation of gastrointestinal cancers. This review presents the latest findings on the use, targets, and modes of action of DIM for the treatment of human gastrointestinal cancers. DIM acts upon several cellular and molecular processes in gastrointestinal cancer cells, including apoptosis, autophagy, invasion, cell cycle regulation, metastasis, angiogenesis, and endoplasmic reticulum (ER stress. In addition, DIM increases the efficacy of other drugs or therapeutic chemicals when used in combinatorial treatment for gastrointestinal cancer. The studies to date offer strong evidence to support the use of DIM as an anticancer and therapeutic agent for gastrointestinal cancer. Therefore, this review provides a comprehensive understanding of the preventive and therapeutic properties of DIM in addition to its different perspective on the safety of DIM in clinical applications for the treatment of gastrointestinal cancers.

  7. Antioxidants Meet Molecular Targets for Cancer Prevention and Therapeutics

    OpenAIRE

    Ahmad, Nihal; Mukhtar, Hasan

    2013-01-01

    A fine balance between oxidants and antioxidants is required for the normal functioning of living systems. A deregulation of this balance has been implicated in many adverse effects and diseases, including cancer. Extensive research has been done in the area of cancer prevention and therapeutics by a wide range of antioxidants, especially naturally occurring and diet-based agents. However, additional efforts are still needed toward clinical development of the most promising antioxidant agents...

  8. Molecular mechanisms of cisplatin resistance in cervical cancer

    OpenAIRE

    Zhu, Xueqiong

    2016-01-01

    Haiyan Zhu, Hui Luo, Wenwen Zhang, Zhaojun Shen, Xiaoli Hu, Xueqiong Zhu Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China Abstract: Patients with advanced or recurrent cervical cancer have poor prognosis, and their 1-year survival is only 10%–20%. Chemotherapy is considered as the standard treatment for patients with advanced or recurrent cervical cancer, and cisplatin appears to tr...

  9. Molecular mechanisms of cisplatin resistance in cervical cancer

    OpenAIRE

    Zhu H; Luo H; Zhang W; Shen Z; Hu X; Zhu X

    2016-01-01

    Haiyan Zhu, Hui Luo, Wenwen Zhang, Zhaojun Shen, Xiaoli Hu, Xueqiong Zhu Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China Abstract: Patients with advanced or recurrent cervical cancer have poor prognosis, and their 1-year survival is only 10%–20%. Chemotherapy is considered as the standard treatment for patients with advanced or recurrent cervical cancer, and cisplatin appears to treat the ...

  10. New Molecular Tools for Efficient Screening of Cervical Cancer

    OpenAIRE

    Magnus von Knebel Doeberitz

    2001-01-01

    Cytological screening using the Pap-smear led to a remarkable reduction of the mortality of cervical cancer. However, due to subjective test criteria it is hampered by poor inter- and intra-observer agreement. More reproducible assays are expected to improve the current screening and avoid unnecessary medical intervention and psychological distress for the affected women. Cervical cancer arises as consequence of persistent high risk papillomavirus (HR-HPV) infections. Expression of two viral ...

  11. Molecular Aspects of Breast Cancer Metastasis to the Brain

    OpenAIRE

    Leonard Da Silva; Simpson, Peter T.; Sunil R. Lakhani; Saunus, Jodi M; Majid Momeny

    2011-01-01

    Our knowledge of the biology underlying the development of brain metastases (BM) from breast cancer has improved over the last decade due to large clinical epidemiological studies, animal models of metastasis, and the use of high-resolution gene expression profiling technologies. However, there are still major gaps in our understanding of the mechanisms utilized by breast cancer cells to colonize the brain microenvironment, thus our arsenal of therapies remains relatively nonspecific, and the...

  12. Characterizing cancer cells with cancer stem cell-like features in 293T human embryonic kidney cells

    OpenAIRE

    Buchholz Thomas A; Lacerda Lara; Xu Wei; Robertson Fredika; Ueno Naoto T; Lucci Anthony; Landis Melissa D; Rodriguez Angel A; Li Li; Cohen Evan; Gao Hui; Krishnamurthy Savitri; Zhang Xiaomei; Debeb Bisrat G; Cristofanilli Massimo

    2010-01-01

    Abstract Background Since the first suggestion of prospectively identifiable cancer stem cells in solid tumors, efforts have been made to characterize reported cancer stem cell surrogates in existing cancer cell lines, and cell lines rich with these surrogates have been used to screen for cancer stem cell targeted agents. Although 293T cells were derived from human embryonic kidney, transplantation of these cells into the mammary fat pad yields aggressive tumors that self-renew as evidenced b...

  13. Bench to bedside molecular functional imaging in translational cancer medicine: to image or to imagine?

    International Nuclear Information System (INIS)

    Ongoing research on malignant and normal cell biology has substantially enhanced the understanding of the biology of cancer and carcinogenesis. This has led to the development of methods to image the evolution of cancer, target specific biological molecules, and study the anti-tumour effects of novel therapeutic agents. At the same time, there has been a paradigm shift in the field of oncological imaging from purely structural or functional imaging to combined multimodal structure–function approaches that enable the assessment of malignancy from all aspects (including molecular and functional level) in a single examination. The evolving molecular functional imaging using specific molecular targets (especially with combined positron-emission tomography [PET] computed tomography [CT] using 2- [18F]-fluoro-2-deoxy-D-glucose [FDG] and other novel PET tracers) has great potential in translational research, giving specific quantitative information with regard to tumour activity, and has been of pivotal importance in diagnoses and therapy tailoring. Furthermore, molecular functional imaging has taken a key place in the present era of translational cancer research, producing an important tool to study and evolve newer receptor-targeted therapies, gene therapies, and in cancer stem cell research, which could form the basis to translate these agents into clinical practice, popularly termed “theranostics”. Targeted molecular imaging needs to be developed in close association with biotechnology, information technology, and basic translational scientists for its best utility. This article reviews the current role of molecular functional imaging as one of the main pillars of translational research. -- Highlights: •Molecular functional imaging (MFI) gives insight into the tumor biology and intratumoral heterogeneity. •It has potential role in identifying radiomic signatures associated with underlying gene-expression. •Radiomics can be used to create a road map

  14. Correlation of pretreatment hemoglobin and platelet counts with clinicopathological features in colorectal cancer in Saudi population

    Directory of Open Access Journals (Sweden)

    Eyad F Al-Saeed

    2014-01-01

    Full Text Available Background/Aims: In Saudi Arabia, colorectal cancers (CRCs are registered as the second most common cancers. However, no data has been reported about correlation of the severity of the anemia and pretreatment platelets level with clinicopathological features of CRCs. We aimed to evaluate the association between pretreatment hemoglobin and platelets level and the clinicopathological features of CRC patients in Saudi Arabia. Materials and Methods: Between September 2005 and November 2011, One hundred and fifty-four confirmed CRC patients underwent thorough physical examination, blood investigations, endoscopic ultrasonography (EUS, and computed tomography (CT for staging before surgery. Findings of physical assessment, EUS, CT, and pathological specimens were correlated with pretreatment hemoglobin and platelets levels the Pearson-Kendall tau correlative coefficients. Results: The mean age of cohort was 56.6 years (range: 26-89. Left-sided CRC were predominant (97 patients; 63%. Mean size of primary tumor was 6 cms (1-18 SD ± 3.55. Mean values of hemoglobin, red blood cells, hematocrit, white blood cells, and platelets were 11.9 SD ± 2.3, 35.5 SD ± 5.7, 4.43 × 10 6 /mL SD ± 0.6, 7.67 10 6 /mL SD ± 2.44, and 343 × 10 3 /mL SD ± 164.4, respectively. Pretreatment hemoglobin was inversely correlated with primary tumor size (R: 0.71, R2: 1.55, P = 0.0001 and nodal status (R: 0.02, R2: 0.05, P = 0.01. Right-sided CRC had significantly low pretreatment hemoglobin levels ( P = 0.001. Interestingly, pretreatment thrombocytosis was seen only in right-sided CRC (P = 0.0001. Conclusion: Pretreatment anemia and thrombocytosis were found mainly in right-sided CRCs and advanced primary and nodal stages. Pretreatment hemoglobin and thrombocytosis can be considered as useful prognostic markers in CRC patients.

  15. Cancer of Unknown Primary in Adolescents and Young Adults: Clinicopathological Features, Prognostic Factors and Survival Outcomes.

    Directory of Open Access Journals (Sweden)

    Kanwal Raghav

    Full Text Available Cancer in adolescents and young adults (AYAs (15-39 years is increasingly recognized as a distinct clinical and biological entity. Cancer of unknown primary (CUP, a disease traditionally presenting in older adults with a median age of 65 years, poses several challenges when diagnosed in AYA patients. This study describes clinicopathological features, outcomes and challenges in caring for AYA-CUP patients.A retrospective review of 47 AYAs diagnosed with CUP at MD Anderson Cancer Center (6/2006-6/2013 was performed. Patients with favorable CUP subsets treated as per site-specific recommendations were excluded. Demographics, imaging, pathology and treatment data was collected using a prospectively maintained CUP database. Kaplan-Meier product limit method and log-rank test were used to estimate and compare overall survival. The cox-proportional model was used for multivariate analyses.Median age was 35 years (range 19-39. All patients underwent comprehensive workup. Adenocarcinoma was the predominant histology (70%. A median of 9 immunostains (range 2-29 were performed. The most common putative primary was biliary tract based on clinicopathological parameters as well as gene profiling. Patients presented with a median of 2 metastatic sites [lymph node (60%, lung (47%, liver (38% and bone (34%]. Most commonly used systemic chemotherapies included gemcitabine, fluorouracil, taxanes and platinum agents. Median overall survival for the entire cohort was 10.0 (95% confidence interval (CI: 6.7-15.4 months. On multivariate analyses, elevated lactate dehydrogenase (Hazard ratio (HR 3.66; 95%CI 1.52-8.82; P = 0.004, ≥3 metastatic sites (HR 5.34; 95%CI 1.19-23.9; P = 0.029, and tissue of origin not tested (HR 3.4; 95%CI 1.44-8.06; P = 0.005 were associated with poor overall survival. Culine's CUP prognostic model (lactate dehydrogenase, performance status, liver metastases was validated in this cohort (median overall survival: good-risk 25.2 months vs

  16. Correlation of microarray-based breast cancer molecular subtypes and clinical outcomes: implications for treatment optimization

    International Nuclear Information System (INIS)

    Optimizing treatment through microarray-based molecular subtyping is a promising method to address the problem of heterogeneity in breast cancer; however, current application is restricted to prediction of distant recurrence risk. This study investigated whether breast cancer molecular subtyping according to its global intrinsic biology could be used for treatment customization. Gene expression profiling was conducted on fresh frozen breast cancer tissue collected from 327 patients in conjunction with thoroughly documented clinical data. A method of molecular subtyping based on 783 probe-sets was established and validated. Statistical analysis was performed to correlate molecular subtypes with survival outcome and adjuvant chemotherapy regimens. Heterogeneity of molecular subtypes within groups sharing the same distant recurrence risk predicted by genes of the Oncotype and MammaPrint predictors was studied. We identified six molecular subtypes of breast cancer demonstrating distinctive molecular and clinical characteristics. These six subtypes showed similarities and significant differences from the Perou-Sørlie intrinsic types. Subtype I breast cancer was in concordance with chemosensitive basal-like intrinsic type. Adjuvant chemotherapy of lower intensity with CMF yielded survival outcome similar to those of CAF in this subtype. Subtype IV breast cancer was positive for ER with a full-range expression of HER2, responding poorly to CMF; however, this subtype showed excellent survival when treated with CAF. Reduced expression of a gene associated with methotrexate sensitivity in subtype IV was the likely reason for poor response to methotrexate. All subtype V breast cancer was positive for ER and had excellent long-term survival with hormonal therapy alone following surgery and/or radiation therapy. Adjuvant chemotherapy did not provide any survival benefit in early stages of subtype V patients. Subtype V was consistent with a unique subset of luminal A intrinsic

  17. Variability of Image Features Computed from Conventional and Respiratory-Gated PET/CT Images of Lung Cancer

    Directory of Open Access Journals (Sweden)

    Jasmine A. Oliver

    2015-12-01

    Full Text Available Radiomics is being explored for potential applications in radiation therapy. How various imaging protocols affect quantitative image features is currently a highly active area of research. To assess the variability of image features derived from conventional [three-dimensional (3D] and respiratory-gated (RG positron emission tomography (PET/computed tomography (CT images of lung cancer patients, image features were computed from 23 lung cancer patients. Both protocols for each patient were acquired during the same imaging session. PET tumor volumes were segmented using an adaptive technique which accounted for background. CT tumor volumes were delineated with a commercial segmentation tool. Using RG PET images, the tumor center of mass motion, length, and rotation were calculated. Fifty-six image features were extracted from all images consisting of shape descriptors, first-order features, and second-order texture features. Overall, 26.6% and 26.2% of total features demonstrated less than 5% difference between 3D and RG protocols for CT and PET, respectively. Between 10 RG phases in PET, 53.4% of features demonstrated percent differences less than 5%. The features with least variability for PET were sphericity, spherical disproportion, entropy (first and second order, sum entropy, information measure of correlation 2, Short Run Emphasis (SRE, Long Run Emphasis (LRE, and Run Percentage (RPC; and those for CT were minimum intensity, mean intensity, Root Mean Square (RMS, Short Run Emphasis (SRE, and RPC. Quantitative analysis using a 3D acquisition versus RG acquisition (to reduce the effects of motion provided notably different image feature values. This study suggests that the variability between 3D and RG features is mainly due to the impact of respiratory motion.

  18. Biological Features of Human Papillomavirus-related Head and Neck Cancers Contributing to Improved Response.

    Science.gov (United States)

    Cleary, C; Leeman, J E; Higginson, D S; Katabi, N; Sherman, E; Morris, L; McBride, S; Lee, N; Riaz, N

    2016-07-01

    Head and neck squamous cell carcinomas (HNSCC) are the sixth most common malignancy globally, and an increasing proportion of oropharyngeal HNSCCs are associated with the human papillomavirus (HPV). Patients with HPV-associated tumours have markedly improved overall and disease-specific survival compared with their HPV-negative counterparts when treated with chemoradiation. Although the difference in outcomes between these two groups is clearly established, the mechanism underlying these differences remains an area of investigation. Data from preclinical, clinical and genomics studies have started to suggest that an increase in radio-sensitivity of HPV-positive HNSCC may be responsible for improved outcomes, the putative mechanisms of which we will review here. The Cancer Genome Atlas and others have recently documented a multitude of molecular differences between HPV-positive and HPV-negative tumours. Preclinical investigations by multiple groups have explored possible mechanisms of increased sensitivity to therapy, including examining differences in DNA repair, hypoxia and the immune response. In addition to differences in the response to therapy, some groups have started to investigate phenotypic differences between the two diseases, such as tumour invasiveness. Finally, we will conclude with a brief review of ongoing clinical trials that are attempting to de-escalate treatment to minimise long-term toxicity while maintaining cure rates. New insights from preclinical and genomic studies may eventually lead to personalised treatment paradigms for HPV-positive patients. PMID:27052795

  19. A Health Services Research Agenda for Cellular, Molecular and Genomic Technologies in Cancer Care

    Science.gov (United States)

    Wideroff, Louise; Phillips, Kathryn A.; Randhawa, Gurvaneet; Ambs, Anita; Armstrong, Katrina; Bennett, Charles L.; Brown, Martin L.; Donaldson, Molla S.; Follen, Michele; Goldie, Sue J.; Hiatt, Robert A.; Khoury, Muin J.; Lewis, Graham; McLeod, Howard L.; Piper, Margaret; Powell, Isaac; Schrag, Deborah; Schulman, Kevin A.; Scott, Joan

    2009-01-01

    Background In recent decades, extensive resources have been invested to develop cellular, molecular and genomic technologies with clinical applications that span the continuum of cancer care. Methods In December 2006, the National Cancer Institute sponsored the first workshop to uniquely examine the state of health services research on cancer-related cellular, molecular and genomic technologies and identify challenges and priorities for expanding the evidence base on their effectiveness in routine care. Results This article summarizes the workshop outcomes, which included development of a comprehensive research agenda that incorporates health and safety endpoints, utilization patterns, patient and provider preferences, quality of care and access, disparities, economics and decision modeling, trends in cancer outcomes, and health-related quality of life among target populations. Conclusions Ultimately, the successful adoption of useful technologies will depend on understanding and influencing the patient, provider, health care system and societal factors that contribute to their uptake and effectiveness in ‘real-world’ settings. PMID:19367091

  20. Molecular crosstalk between cancer cells and tumor microenvironment components suggests potential targets for new therapeutic approaches in mobile tongue cancer

    International Nuclear Information System (INIS)

    We characterized tumor microenvironment (TME) components of mobile tongue (MT) cancer patients in terms of overall inflammatory infiltrate, focusing on the protumorigenic/anti-inflammatory phenotypes and on cancer-associated fibroblasts (CAFs) in order to determine their interrelations and associations with clinical outcomes. In addition, by culturing tongue carcinoma cells (HSC-3) on a three-dimensional myoma organotypic model that mimics TME, we attempted to investigate the possible existence of a molecular crosstalk between cancer cells and TME components. Analysis of 64 cases of MT cancer patients revealed that the overall density of the inflammatory infiltrate was inversely correlated to the density of CAFs (P = 0.01), but that the cumulative density of the protumorigenic/anti-inflammatory phenotypes, including regulatory T cells (Tregs, Foxp3+), tumor-associated macrophages (TAM2, CD163+), and potentially Tregs-inducing immune cells (CD80+), was directly correlated with the density of CAFs (P = 0.01). The hazard ratio (HR) for recurrence in a TME rich in CD163+ Foxp3+ CD80+ was 2.9 (95% CI 1.03–8.6, P = 0.043 compared with low in CD163+ Foxp3+ CD80+). The HR for recurrence in a TME rich in CAFs was 4.1 (95% confidence interval [CI] 1.3–12.8, P = 0.012 compared with low in CAFs). In vitro studies showed cancer-derived exosomes, epithelial–mesenchymal transition process, fibroblast-to-CAF-like cell transdifferentiation, and reciprocal interrelations between different cytokines suggesting the presence of molecular crosstalk between cancer cells and TME components. Collectively, these results highlighted the emerging need of new therapies targeting this crosstalk between the cancer cells and TME components in MT cancer

  1. Genomic analysis and selected molecular pathways in rare cancers

    International Nuclear Information System (INIS)

    It is widely accepted that many cancers arise as a result of an acquired genomic instability and the subsequent evolution of tumor cells with variable patterns of selected and background aberrations. The presence and behaviors of distinct neoplastic cell populations within a patient's tumor may underlie multiple clinical phenotypes in cancers. A goal of many current cancer genome studies is the identification of recurring selected driver events that can be advanced for the development of personalized therapies. Unfortunately, in the majority of rare tumors, this type of analysis can be particularly challenging. Large series of specimens for analysis are simply not available, allowing recurring patterns to remain hidden. In this paper, we highlight the use of DNA content-based flow sorting to identify and isolate DNA-diploid and DNA-aneuploid populations from tumor biopsies as a strategy to comprehensively study the genomic composition and behaviors of individual cancers in a series of rare solid tumors: intrahepatic cholangiocarcinoma, anal carcinoma, adrenal leiomyosarcoma, and pancreatic neuroendocrine tumors. We propose that the identification of highly selected genomic events in distinct tumor populations within each tumor can identify candidate driver events that can facilitate the development of novel, personalized treatment strategies for patients with cancer. (paper)

  2. New Molecular Tools for Efficient Screening of Cervical Cancer

    Directory of Open Access Journals (Sweden)

    Magnus von Knebel Doeberitz

    2001-01-01

    Full Text Available Cytological screening using the Pap-smear led to a remarkable reduction of the mortality of cervical cancer. However, due to subjective test criteria it is hampered by poor inter- and intra-observer agreement. More reproducible assays are expected to improve the current screening and avoid unnecessary medical intervention and psychological distress for the affected women. Cervical cancer arises as consequence of persistent high risk papillomavirus (HR-HPV infections. Expression of two viral oncogenes, E6 and E7, in epithelial stem cells is required to initiate and maintain cervical carcinogenesis and results in significant overexpression of the cellular p16INK4a protein. Since this protein is not expressed in normal cervical squamous epithelia, screening for p16INK4a over-expressing cells allows to specifically identify dysplastic lesions, and significantly reduces the inter-observer disagreement of the conventional cytological or histological tests. Progression of preneoplastic lesions to invasive cancers is associated with extensive recombination of viral and cellular genomes which can be monitored by detection of papillomavirus oncogene transcripts (APOT assay derived from integrated viral genome copies. Detection of integrated type oncogene transcripts points to far advanced dysplasia or invasive cancers and thus represents a progression marker for cervical lesions. These new assays discussed here will help to improve current limitations in cervical cancer screening, diagnosis, and therapy control.

  3. Transcription factors: molecular targets for prostate cancer intervention by phytochemicals.

    Science.gov (United States)

    Kaur, Manjinder; Agarwal, Rajesh

    2007-06-01

    With increasing incidence of cancer at most of the sites, and growing economic burden and associated psychological and emotional trauma, it is becoming clearer that more efforts are needed for cancer cure. Since most of the chemotherapeutic drugs are non-selective because they are also toxic to the normal cells, new and improved strategies are needed that selectively target the killing of cancer cells. Since aberrant activation of numerous signaling pathways is a key element of cancer cell survival and growth, blocking all of them is not that practical, which leads to the step where most of them commonly converge; the transcription factors. Recent research efforts, therefore, are also directed on targeting the activity and activation of transcription factors, which ultimately control the expression of genes that are involved in almost all aspects of cell biology. One class of agents that is becoming increasingly successful, not only in targeting signaling cascades, but also transcription factors is phytochemicals present in diet and those consumed as supplement. The added advantage with these agents is that they are mostly non-toxic when compared to chemotherapeutic agents. This review focuses on the efficacy of various phytochemicals in targeting transcription factors such as AR, Sp1, STATs, E2F, Egr1, c-Myc, HIF-1 alpha, NF-kappaB, AP-1, ETS2, GLI and p53 in the context of prostate cancer intervention. PMID:17979630

  4. Molecular markers for tumor cell dissemination in female cancers

    International Nuclear Information System (INIS)

    In the fight against cancer many advances have been made in early detection and treatment of the disease during the last few decades. Nevertheless, many patients still die of cancer due to metastatic spreading of the disease. Tumor cell dissemination may occur very early and usually is not discovered at the time of initial diagnosis. In these cases, the mere excision of the primary tumor is an insufficient treatment. Microscopic tumor residues will remain in the blood, lymph nodes, or the bone marrow and will cause disease recurrence. To improve the patient's prognosis, a sensitive tool for the detection of single tumor cells supplementing conventional diagnostic procedures is required. As the blood is more easily accessible than the bone marrow or tissue biopsies, we intended to identify gene markers for the detection of circulating tumor cells in the blood of cancer patients. We focused on patients with breast, ovarian, endometrial or cervical cancer. Starting from a genome-wide gene expression analysis of tumor cells and blood cells, we found six genes higher expression levels in cancer patients compared to healthy women. These findings suggest that an increased expression of these genes in the blood indicates the presence of circulating tumor cells inducing future metastases and thus the need for adjuvant therapy assisting the primary treatment. Measuring the expression levels of these six genes in the blood may supplement conventional diagnostic tests and improve the patient's prognosis. (author)

  5. THE SIGNIFICANCE OF FORM FACTOR IN THE QUANTITATIVE ANALYSIS OF THE MORPHOLOGICAL FEATURES OF BREAST CANCER NUCLEI

    Institute of Scientific and Technical Information of China (English)

    杨建茹; 管增伟; 刘长安

    2001-01-01

    Objective In the present study, an important aspect in medical image analysis, quantification of form factor was investigated. It is suggested that nuclear form of both normal and cancer cells of the same tissue should be taken into account when FF( form factor) is analyzed.The value of FF can’t be independently used to serve as evidence. Because breast tissue is complex, breast cancer cells take on diverse and complicated morphological features.Methods Slides of the tissue sections of breast cancer were pathologically confirmed and analyzed in terms of the morphological parameters using DMRXA full-automatic bio-fluorescent microscope and Q550IW computer(Leica, Germany). Of the samples examined, there were 9 cases of adenocarcinoma and 6 normal controls.Results Statistical analysis was performed using SAS software. The results are listed in Table Ⅰ. We found that the nuclear area, perimeter, length and breadth of breast cancer cells were significantly higher than those of normal breast cells(P<0.01). From the data given in the paper it can be seen that FF in the control is significantly higher than that in breast cancer.Conclusion Breast tissue is complicated, consisting of simple cubiodal epithelium, simple columnar epithelium and multiple columnar epithelium, etc. These different cells may have round or ovoid nuclei. Breast cancer cells take on diverse and complicated morphological features. They are classified as duct, lobular and special carcinoma according to their histogenesis and morphological structures. Their nuclear morphological features are diverse as well. Therefore, nuclear form of both normal and cancer cells of the same tissue should be taken into account when form factor is analyzed, nuclear FF alone is not reliable enough to distinguish normal from malignant breast cells.

  6. Clinical features and prognostic factors for patients with bone metastases from prostate cancer

    Institute of Scientific and Technical Information of China (English)

    Jian He; Zhao-Chong Zeng; Ping Yang; Bing Chen; We Jiang; Shi-Suo Du

    2012-01-01

    To identify the clinical features and independent predictors of survival in patients with bone metastases from prostate cancer (PCa).We retrospectively analysed 115 PCa patients with bone metastases between 1997 and 2009.The overall survival rate after bone metastases was calculated using the Kaplan-Meier method.The prognostic factors were identified by univariate analysis using a log-rank test and by multivariate analysis using Cox proportional hazards regression models.The follow-up rate was 100%,the follow-up cases during 1,3 and 5 years were 103,79 and 55,respectively.The 1-,3- and 5-year survival rates were 89.1%,60.9% and 49.8%,respectively,with a median survival time of 48.5 months for patients with bone metastases from PCa.In univariate analysis,age,Gleason score,clinical stage,the number of bone lesions,alkaline phosphatase (ALP) level,invasion of neighbouring organs and non-regional lymph node metastases were correlated with prognosis.By multivariate analysis using Cox regression,ALP level,Gleason score and non-regional lymph node metastases were independent prognostic factors.These prognostic factors will help us to determine the appropriate dose and fraction of radiotherapy for these patients.

  7. Relationship between H.Pylori infection and clinicopathological features and prognosis of gastric cancer

    International Nuclear Information System (INIS)

    Aimed to assess the relationship between H.Pylori and the clinicopathological features and prognosis of gastric cancer by quantitative detection of H.Pylori. 157 patients were enrolled, all patients had a record of clinicopathological parameters. Specimens including the tumor and non-neoplastic were detected for H.Pylori by Real-Time PCR and analyzed clinical data retrospectively. Variables independently affecting prognosis were investigated by means of multivariate analysis using the Cox proportional hazards model. H.Pylori infection was greater in non-neoplastic tissue than the tumor tissue (p < 0.05), H.Pylori infection and its copies were related to the tumor site and N staging (p < 0.05). Overall survival (OS) in all 157 patients has no correlation with the H.Pylori infection status (p = 0.715). As to the patients who underwent a curative surgery, relapse-free survival (RFS) has no correlation with the H.Pylori infection status (p = 0.639). Among the H.Pylori positive patients, OS and RFS of those with higher copies were longer than in patients with low copies, but there was no significant statistical difference. H.Pylori infection status and its copies were related to N staging. The OS and RFS in patients with positive H.Pylori status has no significant difference from the patients with negative H.Pylori status

  8. Analysis on the childhood and adolescent differentiated thyroid cancer: clinical features and radioiodine treatment

    International Nuclear Information System (INIS)

    Objective: Children with differentiated thyroid cancer (DTC) frequently present with more extensive disease than adults. The aim of this study was to characterize the clinical features of child-hood and adolescent DTC and evaluate the outcome and safety of radioiodine treatment. Methods: The records of 38 childhood and adolescent DTC cases, with 28 females and 10 males (mean age: 16.4 years) were reviewed. At diagnosis, all had metastatic lesions with 38 at regional lymph nodes, 15 at lung, 2 at brain and bone. Twenty-three had a total thyroidectomy, 7 had subtotal thyroidectomy, 5 had lobectomy, and 3 had other treatment. All received post-operative radioiodine therapy. All had follow-up for at least one year. Results: At the time of follow-up, all were survive (with a median follow-up of 5.13 years). Four-teen patients had no evidence of disease, 16 had partial remission, and 8 were stable disease. Conclusions: DTC of the thyroid in childhood and adolescent has high risks of residual/recurrence and metastasis. Post-thyroidectomy oral administration of radioiodine was an effective and safety adjuvant therapy for outcomes. (authors)

  9. Covalent features in the hydrogen bond of a water dimer: molecular orbital analysis

    OpenAIRE

    Wang, Bo; Jiang, Wanrun; Dai, Xing; Gao, Yang; Wang, Zhigang; Zhang, Rui-Qin

    2015-01-01

    The covalent-like characteristics of hydrogen bonds offer a new perspective on intermolecular interactions. Here, using density functional theory and post-Hartree-Fock methods, we reveal that there are two bonding molecular orbitals (MOs) crossing the O and H atoms of the hydrogen-bond in water dimer. Energy decomposition analysis also shows a non-negligible contribution of the induction term. These results illustrate the covalent-like character of the hydrogen bond between water molecules, w...

  10. Molecular features distinguish ten neuronal types in the mouse superficial superior colliculus.

    Science.gov (United States)

    Byun, Haewon; Kwon, Soohyun; Ahn, Hee-Jeong; Liu, Hong; Forrest, Douglas; Demb, Jonathan B; Kim, In-Jung

    2016-08-01

    The superior colliculus (SC) is a midbrain center involved in controlling head and eye movements in response to inputs from multiple sensory modalities. Visual inputs arise from both the retina and visual cortex and converge onto the superficial layer of the SC (sSC). Neurons in the sSC send information to deeper layers of the SC and to thalamic nuclei that modulate visually guided behaviors. Presently, our understanding of sSC neurons is impeded by a lack of molecular markers that define specific cell types. To better understand the identity and organization of sSC neurons, we took a systematic approach to investigate gene expression within four molecular families: transcription factors, cell adhesion molecules, neuropeptides, and calcium binding proteins. Our analysis revealed 12 molecules with distinct expression patterns in mouse sSC: cadherin 7, contactin 3, netrin G2, cadherin 6, protocadherin 20, retinoid-related orphan receptor β, brain-specific homeobox/POU domain protein 3b, Ets variant gene 1, substance P, somatostatin, vasoactive intestinal polypeptide, and parvalbumin. Double labeling experiments, by either in situ hybridization or immunostaining, demonstrated that the 12 molecular markers collectively define 10 different sSC neuronal types. The characteristic positions of these cell types divide the sSC into four distinct layers. The 12 markers identified here will serve as valuable tools to examine molecular mechanisms that regulate development of sSC neuronal types. These markers could also be used to examine the connections between specific cell types that form retinocollicular, corticocollicular, or colliculothalamic pathways. J. Comp. Neurol. 524:2300-2321, 2016. © 2016 Wiley Periodicals, Inc. PMID:26713509

  11. 2007 EORTC-NCI-ASCO Annual Meeting: Molecular Markers in Cancer

    OpenAIRE

    Lukan, C

    2008-01-01

    The recent EORTC-NCI-ASCO Annual Meeting on ‘Molecular Markers in Cancer’ was held on 15–17 November 2007 in Brussels, Belgium. It was the largest meeting to date and marked the first year in which the American Association of Clinical Oncology (ASCO) joined in the efforts of the European Organisation for Research and Treatment of Cancer (EORTC) and the National Cancer Institute (NCI) in organizing this annual event. More than 300 clinicians, pathologists, laboratory scientists and representat...

  12. Peptide-Targeted Nanoglobular Gd-DOTA Monoamide Conjugates for Magnetic Resonance Cancer Molecular Imaging

    OpenAIRE

    Tan, Mingqian; Wu, Xueming; Jeong, Eun-Kee; Chen, Qianjin; Lu, Zheng-Rong

    2010-01-01

    Effective imaging of cancer molecular biomarker is critical for accurate cancer diagnosis and prognosis. CLT1 peptide was observed to specifically bind to the fibrin-fibronectin complexes presented in tumor extracellular matrix. In this study, we synthesized and evaluated CLT1 peptide-targeted nanoglobular Gd-DOTA monoamide conjugates for magnetic resonance (MR) imaging of the fibrin-fibronectin complexes in tumor. The targeted nanoglobular contrast agents were prepared by conjugating peptide...

  13. DNA Repair Gene Patterns as Prognostic and Predictive Factors in Molecular Breast Cancer Subtypes

    OpenAIRE

    Santarpia, Libero; Iwamoto, Takayuki; Di Leo, Angelo; Hayashi, Naoki; Bottai, Giulia; Stampfer, Martha; André, Fabrice; Turner, Nicholas C.; Symmans, W Fraser; Hortobágyi, Gabriel N.; Pusztai, Lajos; Bianchini, Giampaolo

    2013-01-01

    DNA repair pathways can enable tumor cells to survive DNA damage induced by chemotherapy and thus provide prognostic and/or predictive value. In this study, the authors sought to assess the differential expression, bimodal distribution, and prognostic and predictive role of DNA repair genes in individual breast cancer molecular subtypes including estrogen receptor-positive/ HER2-negative, estrogen receptor-negative/HER2-negative, and HER2-positive cancers. The predictive value of DNA repair g...

  14. Cancer-associated thrombosis, low-molecular- weight heparin, and the patient experience: a qualitative study

    OpenAIRE

    Seaman S; Nelson A; Noble S

    2014-01-01

    Siwan Seaman,1 Annmarie Nelson,2 Simon Noble2 1Department of Palliative Medicine, Royal Gwent Hospital, Newport, Wales, UK; 2Marie Curie Palliative Care Research Unit, Cardiff University, Cardiff, Wales, UK Background: Venous thromboembolism is a common complication of cancer and its treatments. Treatment of cancer-associated thrombosis (CAT) differs from treatment of thrombosis in noncancer patients, requiring a daily injection of low-molecular-weight heparin (LMWH) for 6 months instead of ...

  15. Early Cancer Detection and Targeted Therapy by Magnetic Resonance Molecular Imaging and Nano Medicine

    OpenAIRE

    Li, Zhao

    2015-01-01

    The common theme of my 5-year PhD research is to channel progress in spin physics and nano-bio-materials into meaningful improvements in the theoretical studies, methodological developments, and advanced applications of magnetic resonance (MR) to: 1) MR Molecular Imaging: to detect lesions (especially cancers) at early stages through imaging the existence and locations of physiologically important biomarkers; and2) MR Nano Medicine: to cure diseases (especially cancers) by targeted therapy th...

  16. Urinary high molecular weight matrix metalloproteinases as non-invasive biomarker for detection of bladder cancer

    OpenAIRE

    Mohammed, Mohammed A; Seleim, Manar F; Abdalla, Mohga S.; Sharada, Hayat M; Abdel Wahab, Abdel Hady A.

    2013-01-01

    Background Matrix Metalloproteinases (MMPs) are key molecules for tumor growth, invasion and metastasis. Over-expression of different MMPs in tumor tissues can disturb the homeostasis and increase the level of various body fluids. Many MMPs including high molecular weights (HMWs) were detected in the urine of prostate and bladder cancer patients. Our aim here is to assess the usefulness of HMW MMPs as non invasive biomarkers in bilharzial bladder cancer in Egyptian patients. Methods The activ...

  17. Gene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer

    OpenAIRE

    Budinska, Eva; Popovici, Vlad; Tejpar, Sabine; d'Ario, Giovanni; Lapique, Nicolas; Sikora, Katarzyna Otylia; Di Narzo, Antonio Fabio; Yan, Pu; Hodgson, John Graeme; Weinrich, Scott; Bosman, Fred; Roth, Arnaud; Delorenzi, Mauro

    2013-01-01

    The recognition that colorectal cancer (CRC) is a heterogeneous disease in terms of clinical behaviour and response to therapy translates into an urgent need for robust molecular disease subclassifiers that can explain this heterogeneity beyond current parameters (MSI, KRAS, BRAF). Attempts to fill this gap are emerging. The Cancer Genome Atlas (TGCA) reported two main CRC groups, based on the incidence and spectrum of mutated genes, and another paper reported an EMT expression signature defi...

  18. Gene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer.

    OpenAIRE

    Budinska E.; Popovici V.; Tejpar S; D' Ario G.; Lapique N.; Sikora K.O.; Di Narzo A.F.; Yan P.; Hodgson J.G.; Weinrich S.; Bosman F.; Roth A.; Delorenzi M.

    2013-01-01

    The recognition that colorectal cancer (CRC) is a heterogeneous disease in terms of clinical behaviour and response to therapy translates into an urgent need for robust molecular disease subclassifiers that can explain this heterogeneity beyond current parameters (MSI, KRAS, BRAF). Attempts to fill this gap are emerging. The Cancer Genome Atlas (TGCA) reported two main CRC groups, based on the incidence and spectrum of mutated genes, and another paper reported an EMT expression signature defi...

  19. Molecular Subtypes of Breast Cancer Are Not Associated with the Clinical Under- or Overstaging of Breast Cancer.

    Science.gov (United States)

    Espinola, Juliana Pinho; Peres, Raquel Mary Rodrigues; Serra, Kátia Piton; Derchain, Sophie Françoise Mauricette; Sarian, Luis Otávio

    2016-05-01

    Purpose to evaluate the agreement between the clinical and pathological stagings of breast cancer based on clinical and molecular features. Methods this was a cross-sectional study, in which clinical, epidemiological and pathological data were collected from 226 patients who underwent surgery at the Prof. Dr. José Aristodemo Pinotti Women's Hospital (CAISM/Unicamp) from January 2008 to September 2010. Patients were staged clinically and pathologically, and were classified as: understaged, when the clinical staging was lower than the pathological staging; correctly staged, when the clinical staging was the same as the pathological one; and overstaged, when the clinical staging was greater than the pathological staging. Results understaged patients were younger (52.2 years; p < 0.01) and more symptomatic at diagnosis (p = 0.04) when compared with correctly or overstaged patients. Clinicopathological surrogate subtype, menopausal status, parity, hormone replace therapy and histology were not associated with differences in staging. Women under 57 years of age were clinically understaged mainly due to underestimation of T (tumor staging) (p < 0.001), as were the premenopausal women (p < 0.01). Patients whose diagnosis was made due to clinical complaints, and not by screening, were clinically understaged due to underestimation of N (lymph nodes staging) (p < 0.001). Conclusion the study shows that the clinicopathological surrogate subtype is not associated with differences in staging, while younger women diagnosed because of clinical complaints tend to have their breast tumors understaged during clinical evaluation. PMID:27187929

  20. Molecular Genetics of Cancer. Second joint conference of the American Association for Cancer Reserach and the European Association for Cancer Research. 9-13 Sept. 1997, Oxford University, UK.

    OpenAIRE

    Sigurður Ingvarsson 1956

    1997-01-01

    In this intense meeting, many exciting new molecular genetic approaches and findings in the cancer field were presented. It was obvious that much has been accomplished and the field of cancer molecular genetics will continue to provide new information and understanding regarding the complex nature of neoplastic disease. Some of these findings may lead to better diagnosis and treatment of cancer.

  1. Molecular genetics of human cancer and its etiologic implications

    International Nuclear Information System (INIS)

    The following topics are discussed: animal viral oncology; use of myeloblastosis and Rous sarcoma viruses of chickens and leukemia and sarcoma viruses of mice as models; molecular hybridization with radioactive DNA probes; simultaneous detection test for reverse transcriptase and high molecular weight RNA; application of the simultaneous detection test to the leukemias; germ-line transmission of viral information; and studies of identical twins. (U.S.)

  2. Molecular alterations in childhood thyroid cancer after Chernobyl accident and low-dose radiation risk

    International Nuclear Information System (INIS)

    The linear no-threshold (LNT) model of radiation carcinogenesis has been used for evaluating the risk from radiation exposure. While the epidemiological studies have supported the LNT model at doses above 100 mGy, more uncertainties are still existed in the LNT model at low doses below 100 mGy. Thus, it is urged to clarify the molecular mechanisms underlying radiation carcinogenesis. After the Chernobyl accident in 1986, significant amount of childhood thyroid cancer has emerged in the children living in the contaminated area. As the incidence of sporadic childhood thyroid cancer is very low, it is quite evident that those cancer cases have been induced by radiation exposure caused mainly by the intake of contaminated foods, such as milk. Because genetic alterations in childhood thyroid cancers have extensively been studied, it should provide a unique chance to understand the molecular mechanisms of radiation carcinogenesis. In a current review, molecular signatures obtained from the molecular studies of childhood thyroid cancer after Chernobyl accident have been overviewed, and new roles of radiation exposure in thyroid carcinogenesis will be discussed. (author)

  3. MicroRNAs and cancer resistance: A new molecular plot.

    Science.gov (United States)

    Fanini, F; Fabbri, M

    2016-05-01

    The most common cause of cancer relapse is drug resistance, acquired or intrinsic, which strongly limits the efficacy of both conventional and new targeted chemotherapy. MicroRNAs (miRNAs) are a growing, large family of short noncoding RNAs frequently dysregulated in malignancies. Although the mechanism of miRNA-mediated drug resistance is not fully understood, an increasing amount of evidence suggests their involvement in the acquisition of tumor cell drug resistance, pointing towards the need for novel and more innovative therapeutic approaches. Use of antagomiRs or mimics can modulate specific miRNAs in order to restore gene networks and signaling pathways, perhaps optimizing chemotherapies by increasing cancer cell sensitivity to drugs. The aim of this review is to provide a state-of-the-art scenario with regard to the most recent discoveries in the field of miRNAs involved in the process of resistance to cancer therapy. PMID:26875151

  4. The molecular and cellular origin of human prostate cancer.

    Science.gov (United States)

    Packer, John R; Maitland, Norman J

    2016-06-01

    Prostate cancer is the most commonly diagnosed male malignancy. Despite compelling epidemiology, there are no definitive aetiological clues linking development to frequency. Pre-malignancies such as proliferative inflammatory atrophy (PIA) and prostatic intraepithelial neoplasia (PIN) yield insights into the initiating events of prostate cancer, as they supply a background "field" for further transformation. An inflammatory aetiology, linked to recurrent prostatitis, and heterologous signalling from reactive stroma and infiltrating immune cells may result in cytokine addiction of cancer cells, including a tumour-initiating population also known as cancer stem cells (CSCs). In prostate tumours, the background mutational rate is rarely exceeded, but genetic change via profound sporadic chromosomal rearrangements results in copy number variations and aberrant gene expression. In cancer, dysfunctional differentiation is imposed upon the normal epithelial lineage, with disruption/disappearance of the basement membrane, loss of the contiguous basal cell layer and expansion of the luminal population. An initiating role for androgen receptor (AR) is attractive, due to the luminal phenotype of the tumours, but alternatively a pool of CSCs, which express little or no AR, has also been demonstrated. Indolent and aggressive tumours may also arise from different stem or progenitor cells. Castrate resistant prostate cancer (CRPC) remains the inevitable final stage of disease following treatment. Time-limited effectiveness of second-generation anti-androgens, and the appearance of an AR-neuroendocrine phenotype imply that metastatic disease is reliant upon the plasticity of the CSC population, and indeed CSC gene expression profiles are most closely related to those identified in CRPCs. PMID:26921821

  5. Introduction to the cellular and molecular biology of cancer

    International Nuclear Information System (INIS)

    This collection of papers arose out of the needs of graduate students and research workers in highly specialised fields who had relatively little general knowledge of cancer. The introduction describes the pathology and natural history of the disease, with special reference to leukemia. Further chapters discuss susceptibility to the disease, cell behaviour (radiosensitivity, cell cycling, development of drug resistance etc), chemical and radiation carcinogenesis, the role of growth factors and hormones in cancer, diagnosis and local treatment, the role of monoclonal antibodies, and general epidemiology and risk factors. General glossary and further reading lists. (U.K.)

  6. Molecular profiling of ADAM12 in human bladder cancer

    DEFF Research Database (Denmark)

    Albrechtsen, Reidar; Dyrskjøt, Lars; Rudkjaer, Lise;

    2006-01-01

    gene expression was evaluated in tumors from 96 patients with bladder cancer using a customized Affymetrix GeneChip. Gene expression in bladder cancer was validated using reverse transcription-PCR, quantitative PCR, and in situ hybridization. Protein expression was evaluated by immunohistochemical...... microarray analysis, and the level of ADAM12 mRNA correlated with disease stage. Reverse transcription-PCR, quantitative PCR, and in situ hybridization validated the gene expression results. Using immunohistochemistry, we found ADAM12 protein expression correlated with tumor stage and grade. Finally, ADAM12...

  7. Exogenous Molecular Probes for Targeted Imaging in Cancer: Focus on Multi-modal Imaging

    Energy Technology Data Exchange (ETDEWEB)

    Joshi, Bishnu P. [Division of Gastroenterology, Department of Medicine, University of Michigan, School of Medicine, 109 Zina Pitcher Place, BSRB 1722, Ann Arbor, MI 48109 (United States); Wang, Thomas D., E-mail: thomaswa@umich.edu [Division of Gastroenterology, Department of Medicine, University of Michigan, School of Medicine, 109 Zina Pitcher Place, BSRB 1722, Ann Arbor, MI 48109 (United States); Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109 (United States)

    2010-06-11

    Cancer is one of the major causes of mortality and morbidity in our healthcare system. Molecular imaging is an emerging methodology for the early detection of cancer, guidance of therapy, and monitoring of response. The development of new instruments and exogenous molecular probes that can be labeled for multi-modality imaging is critical to this process. Today, molecular imaging is at a crossroad, and new targeted imaging agents are expected to broadly expand our ability to detect and manage cancer. This integrated imaging strategy will permit clinicians to not only localize lesions within the body but also to manage their therapy by visualizing the expression and activity of specific molecules. This information is expected to have a major impact on drug development and understanding of basic cancer biology. At this time, a number of molecular probes have been developed by conjugating various labels to affinity ligands for targeting in different imaging modalities. This review will describe the current status of exogenous molecular probes for optical, scintigraphic, MRI and ultrasound imaging platforms. Furthermore, we will also shed light on how these techniques can be used synergistically in multi-modal platforms and how these techniques are being employed in current research.

  8. Clinical outcome, role of BRAFV600E, and molecular pathways in papillary thyroid microcarcinoma: is it an indolent cancer or an early stage of papillary thyroid cancer?

    Directory of Open Access Journals (Sweden)

    CarmeloNucera

    2012-02-01

    Full Text Available Most human thyroid cancers are differentiated papillary carcinomas (PTC. Papillary thyroid microcarcinomas (PTMC are tumors that measure 1 cm or less. This class of small tumors, recognized fairly recently, has proven to be a very common clinical entity in endocrine diseases. PTMC may be present in 30-40% of human autopsies and is often identified incidentally in a thyroid removed for benign clinical nodules. Although PTMC usually has an excellent long-term prognosis, it can metastasize to neck lymph nodes; however deaths related to this type of thyroid tumor are very rare. Few data exist on molecular pathways that play a role in PTMC development; however, two molecules have been shown to be associated with aggressive PTMC. S100A4 (calcium-binding protein, which plays a role in angiogenesis, extracellular matrix remodeling, and tumor microenvironment, is over-expressed in metastatic PTMC. In addition, the BRAFV600E mutation, the most common genetic alteration in PTC, is present in many PTMC with extra thyroidal extension and lymph node metastasis. Importantly, recently developed selective (e.g. PLX4720, PLX4032 (Vemurafenib, also called RG7204 or non-selective (e.g. Sorafenib inhibitors of BRAFV600E may be an effective treatment for patients with BRAFV600E-expressing PTMCs with aggressive clinical-pathologic features. Here, we summarize the clinical outcome, cancer genetics, and molecular mechanisms of PTMC.

  9. Molecular Pathways: Reactive Oxygen Species Homeostasis in Cancer Cells and Implications for Cancer Therapy

    OpenAIRE

    Nogueira, Veronique; Hay, Nissim

    2013-01-01

    Reactive oxygen species (ROS) are important in regulating normal cellular processes, but deregulated ROS contribute to the development of various human diseases including cancers. Cancer cells have increased ROS levels compared to normal cells, because of their accelerated metabolism. The high ROS levels in cancer cells, which distinguish them from normal cells, could be pro-tumorigenic, but are also their Achilles’ heel. The high ROS content in cancer cells renders them more susceptible to o...

  10. Molecular Mechanisms of Silibinin-Mediated Cancer Chemoprevention with Major Emphasis on Prostate Cancer

    OpenAIRE

    Ting, Harold; Deep, Gagan; Agarwal, Rajesh

    2013-01-01

    Despite advances in early detection, prostate cancer remains the second highest cancer mortality in American men, and even successful interventions are associated with enormous health care costs as well as prolonged deleterious effects on quality of patient life. Prostate cancer chemoprevention is one potential avenue to alleviate these burdens. It is a regime whereby long-term treatments are intended to prevent or arrest cancer development, in contrast to more direct intervention upon diseas...

  11. DEMOGRAPHIC AND CLINICOPATHOLOGIC FEATURES OF PATIENTS WITH PRIMARY BREAST CANCER TREATED BETWEEN 1997 AND 2010: A SINGLE INSTITUTION EXPERIENCE.

    Science.gov (United States)

    Žitnjak, Daniela; Soldić, Željko; Kust, Davor; Bolanća, Ante; Kusić, Zvonko

    2015-09-01

    Breast cancer accounted for 28% of all new cancers and 18% of female cancer deaths in Europe in 2010. It is the most common type of cancer in women in Croatia, with an incidence rate of 56.9/100 000 in the year 2010, and the highest number of newly diagnosed women aged between 60 and 64. Multiple factors are associated with an increased risk of breast cancer: advancing age, family history, exposure to endogenous and exogenous reproductive hormones, dietary factors, benign breast disease, and environmental factors. To assess demographic and clinicopathologic features of primary breast cancer, we retrospectively analyzed 870 patients treated in our institution between 1997 and 2010. Data were obtained from medical documentation and a printed questionnaire regarding life habits. Most of our patients presented with a breast lump and were self-diagnosed by breast examination. This fact highlights the need of regular breast self-examination, although it should also be taken into account that most of our patients did not attend regular mammography screening (only 31%). One of the most concerning facts is that the mean time from observing the first symptom to visiting a physician was 4 months. Previous studies have identified ignorance, fear and fatalistic attitudes, poor socioeconomic conditions, and illiteracy as important factors resulting in delay. Considering these facts, education and raising awareness about the disease in the general population is one of the key weapons for lowering breast cancer mortality. PMID:26666098

  12. Nuclear EGFR as a molecular target in cancer

    International Nuclear Information System (INIS)

    The epidermal growth factor receptor (EGFR) has been one of the most targeted receptors in the field of oncology. While anti-EGFR inhibitors have demonstrated clinical success in specific cancers, most patients demonstrate either intrinsic or acquired resistance within one year of treatment. Many mechanisms of resistance to EGFR inhibitors have been identified, one of these being attributed to alternatively localized EGFR from the cell membrane into the cell’s nucleus. Inside the nucleus, EGFR functions as a co-transcription factor for several genes involved in cell proliferation and angiogenesis, and as a tyrosine kinase to activate and stabilize proliferating cell nuclear antigen and DNA dependent protein kinase. Nuclear localized EGFR is highly associated with disease progression, worse overall survival in numerous cancers, and enhanced resistance to radiation, chemotherapy, and the anti-EGFR therapies gefitinib and cetuximab. In this review the current knowledge of how nuclear EGFR enhances resistance to cancer therapeutics is discussed, in addition to highlighting ways to target nuclear EGFR as an anti-cancer strategy in the future

  13. Interplay between Cellular and Molecular Inflammatory Mediators in Lung Cancer

    OpenAIRE

    Mario Orozco-Morales; Giovanny Soca-Chafre; Pedro Barrios-Bernal; Norma Hernández-Pedro; Oscar Arrieta

    2016-01-01

    Inflammation is a component of the tumor microenvironment and represents the 7th hallmark of cancer. Chronic inflammation plays a critical role in tumorigenesis. Tumor infiltrating inflammatory cells mediate processes associated with progression, immune suppression, promotion of neoangiogenesis and lymphangiogenesis, remodeling of extracellular matrix, invasion and metastasis, and, lastly, the inhibition of vaccine-induced antitumor T cell response. Accumulating evidence indicates a critical ...

  14. Interplay between Cellular and Molecular Inflammatory Mediators in Lung Cancer.

    Science.gov (United States)

    Orozco-Morales, Mario; Soca-Chafre, Giovanny; Barrios-Bernal, Pedro; Hernández-Pedro, Norma; Arrieta, Oscar

    2016-01-01

    Inflammation is a component of the tumor microenvironment and represents the 7th hallmark of cancer. Chronic inflammation plays a critical role in tumorigenesis. Tumor infiltrating inflammatory cells mediate processes associated with progression, immune suppression, promotion of neoangiogenesis and lymphangiogenesis, remodeling of extracellular matrix, invasion and metastasis, and, lastly, the inhibition of vaccine-induced antitumor T cell response. Accumulating evidence indicates a critical role of myeloid cells in the pathophysiology of human cancers. In contrast to the well-characterized tumor-associated macrophages (TAMs), the significance of granulocytes in cancer has only recently begun to emerge with the characterization of tumor-associated neutrophils (TANs). Recent studies show the importance of CD47 in the interaction with macrophages inhibiting phagocytosis and promoting the migration of neutrophils, increasing inflammation which can lead to recurrence and progression in lung cancer. Currently, therapies are targeted towards blocking CD47 and enhancing macrophage-mediated phagocytosis. However, antibody-based therapies may have adverse effects that limit its use. PMID:26941482

  15. Interplay between Cellular and Molecular Inflammatory Mediators in Lung Cancer

    Directory of Open Access Journals (Sweden)

    Mario Orozco-Morales

    2016-01-01

    Full Text Available Inflammation is a component of the tumor microenvironment and represents the 7th hallmark of cancer. Chronic inflammation plays a critical role in tumorigenesis. Tumor infiltrating inflammatory cells mediate processes associated with progression, immune suppression, promotion of neoangiogenesis and lymphangiogenesis, remodeling of extracellular matrix, invasion and metastasis, and, lastly, the inhibition of vaccine-induced antitumor T cell response. Accumulating evidence indicates a critical role of myeloid cells in the pathophysiology of human cancers. In contrast to the well-characterized tumor-associated macrophages (TAMs, the significance of granulocytes in cancer has only recently begun to emerge with the characterization of tumor-associated neutrophils (TANs. Recent studies show the importance of CD47 in the interaction with macrophages inhibiting phagocytosis and promoting the migration of neutrophils, increasing inflammation which can lead to recurrence and progression in lung cancer. Currently, therapies are targeted towards blocking CD47 and enhancing macrophage-mediated phagocytosis. However, antibody-based therapies may have adverse effects that limit its use.

  16. Covalent features in the hydrogen bond of a water dimer: molecular orbital analysis

    CERN Document Server

    Wang, Bo; Dai, Xing; Gao, Yang; Wang, Zhigang; Zhang, Rui-Qin

    2015-01-01

    The covalent-like characteristics of hydrogen bonds offer a new perspective on intermolecular interactions. Here, using density functional theory and post-Hartree-Fock methods, we reveal that there are two bonding molecular orbitals (MOs) crossing the O and H atoms of the hydrogen-bond in water dimer. Energy decomposition analysis also shows a non-negligible contribution of the induction term. These results illustrate the covalent-like character of the hydrogen bond between water molecules, which contributes to the essential understanding of ice, liquid water, related materials, and life sciences.

  17. Male breast cancer: An update in diagnosis, treatment and molecular profiling

    OpenAIRE

    Onami, Susan; Ozaki, Melanie; Mortimer, Joanne E; Pal, Sumanta Kumar

    2010-01-01

    Significant advances have been made in the diagnosis and treatment of female breast cancer, resulting in a decline in incidence and a global improvement in clinical outcome. The statistics for male breast cancer (MBC) stand in sharp contrast – over the past several decades, there has been a steady rise in the incidence of this disease, and clinical outcome has improved at a much slower pace. In the current review, the clinicopathologic features of MBC are described in detail. An emphasis is p...

  18. Exploring mechanisms of diet-colon cancer associations through candidate molecular interaction networks

    DEFF Research Database (Denmark)

    Westergaard, David; Li, Jun; Jensen, Kasper;

    2014-01-01

    -nutrient interactions. Here, we used colon cancer as a proof-of-concept for understanding key regulatory sites of diet on the disease pathway. Results: We started from a unique vantage point by having a database of 158 plants positively associated to colon cancer reduction and their molecular composition (similar to 3......,500 unique compounds). We generated a comprehensive picture of the interaction profile of these edible and non-edible plants with a predefined candidate colon cancer target space consisting of similar to 1,900 proteins. This knowledge allowed us to study systematically the key components in colon cancer that...... are targeted synergistically by phytochemicals and identify statistically significant and highly correlated protein networks that could be perturbed by dietary habits. Conclusion: We propose here a framework for interrogating the critical targets in colon cancer processes and identifying plant...

  19. CD24 as a Molecular Marker in Ovarian Cancer: A Literature Review

    Directory of Open Access Journals (Sweden)

    Lu Huang

    2016-01-01

    Full Text Available Ovarian cancer is the most lethal gynecologic cancer, with a mortality rate of > 60%. Cancer stem cell (CSC hypothesis offers an attractive explanation of chemoresistance, metastasis, etc., associated with the disease. However, there are still controversy and limitation in defining the CSC markers. CD24 is a mucin-type glycosyl-phosphatidylinositol-linked glycoprotein, expressed on the surface of cells, which serves as a normal receptor for P-selectin and is found involved in molecular adhesion and metastatic tumor spread. Expression rate of CD24 has been associated with progression of various cancers and poor survival rates. In this review, the function of CD24 in ovarian cancer, especially in ovarian CSC system, was discussed in an effort to broaden the interpretation of potential mechanism.

  20. Molecular mechanisms of heptaplatin effective against cisplatin-resistant cancer cell lines: less involvement of metallothionein

    Directory of Open Access Journals (Sweden)

    Moon Sung-Pyo

    2004-10-01

    Full Text Available Abstract Background Heptaplatin is a new platinum derivative with anticancer activity against various cancer cell lines, including cisplatin-resistant cancer cell lines (Cancer Chemother Pharmacol 1995; 35: 441. Methods Molecular mechanisms of heptaplatin effective against cisplatin-resistant cancer cell lines has been investigated in connection with metallothionein (MT. Cytotoxicity was determined by an MTT assay. MT mRNA, was determined by RT-PCR assay. Transfection study was carried out to examine the function of MT. Results Of various gastric cancer cell lines, SNU-638 and SNU-601 showed the highest and lowest levels of MT mRNA, respectively, showing 80-fold difference. The IC50 values of SNU-638 to cisplatin, carboplatin and heptaplatin were 11.2-fold, 5.1-fold and 2.0-fold greater than those of SNU-601, respectively. Heptaplatin was more effective against cisplatin-resistant and MT-transfected gastric cancer sublines than cisplatin or carboplatin was. In addition, heptaplatin attenuated cadmium, but not zinc, induction of MT. Conclusion These results indicate that molecular mechanisms of heptaplatin effective against cisplatin-resistant gastric cancer sublines is at least in part due to the less involvement of MT in heptaplatin resistance as well as its attenuation of MT induction.

  1. Sentinel lymph node detection in breast cancer patients using surgical navigation system based on fluorescence molecular imaging technology

    Science.gov (United States)

    Chi, Chongwei; Kou, Deqiang; Ye, Jinzuo; Mao, Yamin; Qiu, Jingdan; Wang, Jiandong; Yang, Xin; Tian, Jie

    2015-03-01

    Introduction: Precision and personalization treatments are expected to be effective methods for early stage cancer studies. Breast cancer is a major threat to women's health and sentinel lymph node biopsy (SLNB) is an effective method to realize precision and personalized treatment for axillary lymph node (ALN) negative patients. In this study, we developed a surgical navigation system (SNS) based on optical molecular imaging technology for the precise detection of the sentinel lymph node (SLN) in breast cancer patients. This approach helps surgeons in precise positioning during surgery. Methods: The SNS was mainly based on the technology of optical molecular imaging. A novel optical path has been designed in our hardware system and a feature-matching algorithm has been devised to achieve rapid fluorescence and color image registration fusion. Ten in vivo studies of SLN detection in rabbits using indocyanine green (ICG) and blue dye were executed for system evaluation and 8 breast cancer patients accepted the combination method for therapy. Results: The detection rate of the combination method was 100% and an average of 2.6 SLNs was found in all patients. Our results showed that the method of using SNS to detect SLN has the potential to promote its application. Conclusion: The advantage of this system is the real-time tracing of lymph flow in a one-step procedure. The results demonstrated the feasibility of the system for providing accurate location and reliable treatment for surgeons. Our approach delivers valuable information and facilitates more detailed exploration for image-guided surgery research.

  2. Crypto-rhombomeres of the mouse medulla oblongata, defined by molecular and morphological features.

    Science.gov (United States)

    Tomás-Roca, Laura; Corral-San-Miguel, Rubén; Aroca, Pilar; Puelles, Luis; Marín, Faustino

    2016-03-01

    The medulla oblongata is the caudal portion of the vertebrate hindbrain. It contains major ascending and descending fiber tracts as well as several motor and interneuron populations, including neural centers that regulate the visceral functions and the maintenance of bodily homeostasis. In the avian embryo, it has been proposed that the primordium of this region is subdivided into five segments or crypto-rhombomeres (r7-r11), which were defined according to either their parameric position relative to intersomitic boundaries (Cambronero and Puelles, in J Comp Neurol 427:522-545, 2000) or a stepped expression of Hox genes (Marín et al., in Dev Biol 323:230-247, 2008). In the present work, we examine the implied similar segmental organization of the mouse medulla oblongata. To this end, we analyze the expression pattern of Hox genes from groups 3 to 8, comparing them to the expression of given cytoarchitectonic and molecular markers, from mid-gestational to perinatal stages. As a result of this approach, we conclude that the mouse medulla oblongata is segmentally organized, similarly as in avian embryos. Longitudinal structures such as the nucleus of the solitary tract, the dorsal vagal motor nucleus, the hypoglossal motor nucleus, the descending trigeminal and vestibular columns, or the reticular formation appear subdivided into discrete segmental units. Additionally, our analysis identified an internal molecular organization of the migrated pontine nuclei that reflects a differential segmental origin of their neurons as assessed by Hox gene expression. PMID:25381007

  3. Molecular biology from bench-to-bedside - which colorectal cancer patients should be referred for genetic counselling and risk assessment

    DEFF Research Database (Denmark)

    Jensen, Lars Henrik; Dysager, Lars; Lindebjerg, Jan;

    2010-01-01

    validate our previously suggested clinically applicable strategy based on molecular characteristics for identifying which patients to refer for genetic counselling. The strategy was validated in an unselected cohort of 287 colorectal cancer patients. All tumours were tested for MLH1, PMS2, MSH2 and MSH6...... with hereditary cancer. It is feasible to perform a molecular screening to select patients for genetic counselling....

  4. Healthy dietary patterns and risk of breast cancer by molecular subtype.

    Science.gov (United States)

    Hirko, Kelly A; Willett, Walter C; Hankinson, Susan E; Rosner, Bernard A; Beck, Andrew H; Tamimi, Rulla M; Eliassen, A Heather

    2016-02-01

    We examined associations between dietary quality indices and breast cancer risk by molecular subtype among 100,643 women in the prospective Nurses' Health Study (NHS) cohort, followed from 1984 to 2006. Dietary quality scores for the Alternative Healthy Eating Index (AHEI), alternate Mediterranean diet (aMED), and Dietary Approaches to Stop Hypertension (DASH) dietary patterns were calculated from semi-quantitative food frequency questionnaires collected every 2-4 years. Breast cancer molecular subtypes were defined according to estrogen receptor (ER), progesterone receptor, human epidermal growth factor 2 (HER2), cytokeratin 5/6 (CK5/6), and epidermal growth factor receptor status from immunostained tumor microarrays in combination with histologic grade. Cox proportional hazards models, adjusted for age and breast cancer risk factors, were used to estimate hazard ratios (HRs) and 95 % confidence intervals (CIs). Competing risk analyses were used to assess heterogeneity by subtype. We did not observe any significant associations between the AHEI or aMED dietary patterns and risk of breast cancer by molecular subtype. However, a significantly reduced risk of HER2-type breast cancer was observed among women in 5th versus 1st quintile of the DASH dietary pattern [n = 134 cases, Q5 vs. Q1 HR (95 % CI) = 0.44 (0.25-0.77)], and the inverse trend across quintiles was significant (p trend = 0.02). We did not observe any heterogeneity in associations between AHEI (p het = 0.25), aMED (p het = 0.71), and DASH (p het = 0.12) dietary patterns and breast cancer by subtype. Adherence to the AHEI, aMED, and DASH dietary patterns was not strongly associated with breast cancer molecular subtypes. PMID:26872903

  5. Theragnosis-based combined cancer therapy using doxorubicin-conjugated microRNA-221 molecular beacon.

    Science.gov (United States)

    Lee, Jonghwan; Choi, Kyung-Ju; Moon, Sung Ung; Kim, Soonhag

    2016-01-01

    Recently, microRNA (miRNA or miR) has emerged as a new cancer biomarker because of its high expression level in various cancer types and its role in the control of tumor suppressor genes. In cancer studies, molecular imaging and treatment based on target cancer markers have been combined to facilitate simultaneous cancer diagnosis and therapy. In this study, for combined therapy with diagnosis of cancer, we developed a doxorubicin-conjugated miR-221 molecular beacon (miR-221 DOXO MB) in a single platform composed of three different nucleotides: miR-221 binding sequence, black hole quencher 1 (BHQ1), and doxorubicin binding site. Imaging of endogenous miR-221 was achieved by specific hybridization between miR-221 and the miR-221 binding site in miR-221 DOXO MB. The presence of miR-221 triggered detachment of the quencher oligo and subsequent activation of a fluorescent signal of miR-221 DOXO MB. Simultaneous cancer therapy in C6 astrocytoma cells and nude mice was achieved by inhibition of miRNA-221 function that downregulates tumor suppressor genes. The detection of miR-221 expression and inhibition of miR-221 function by miR-221 DOXO MB provide the feasibility as a cancer theragnostic probe. Furthermore, a cytotoxic effect was induced by unloading of doxorubicin intercalated into miR-221 DOXO MB inside cells. Loss of miR-221 function and cytotoxicity induced by the miR-221 DOXO MB provides combined therapeutic efficacy against cancers. This method could be used as a new theragnostic probe with enhanced therapy to detect and inhibit many cancer-related miRNAs. PMID:26454049

  6. Iodine atoms: a new molecular feature for the design of potent transthyretin fibrillogenesis inhibitors.

    Directory of Open Access Journals (Sweden)

    Teresa Mairal

    Full Text Available The thyroid hormone and retinol transporter protein known as transthyretin (TTR is in the origin of one of the 20 or so known amyloid diseases. TTR self assembles as a homotetramer leaving a central hydrophobic channel with two symmetrical binding sites. The aggregation pathway of TTR into amiloid fibrils is not yet well characterized but in vitro binding of thyroid hormones and other small organic molecules to TTR binding channel results in tetramer stabilization which prevents amyloid formation in an extent which is proportional to the binding constant. Up to now, TTR aggregation inhibitors have been designed looking at various structural features of this binding channel others than its ability to host iodine atoms. In the present work, greatly improved inhibitors have been designed and tested by taking into account that thyroid hormones are unique in human biochemistry owing to the presence of multiple iodine atoms in their molecules which are probed to interact with specific halogen binding domains sitting at the TTR binding channel. The new TTR fibrillogenesis inhibitors are based on the diflunisal core structure because diflunisal is a registered salicylate drug with NSAID activity now undergoing clinical trials for TTR amyloid diseases. Biochemical and biophysical evidence confirms that iodine atoms can be an important design feature in the search for candidate drugs for TTR related amyloidosis.

  7. Iodine atoms: a new molecular feature for the design of potent transthyretin fibrillogenesis inhibitors.

    Science.gov (United States)

    Mairal, Teresa; Nieto, Joan; Pinto, Marta; Almeida, Maria Rosário; Gales, Luis; Ballesteros, Alfredo; Barluenga, José; Pérez, Juan J; Vázquez, Jesús T; Centeno, Nuria B; Saraiva, Maria Joao; Damas, Ana M; Planas, Antoni; Arsequell, Gemma; Valencia, Gregorio

    2009-01-01

    The thyroid hormone and retinol transporter protein known as transthyretin (TTR) is in the origin of one of the 20 or so known amyloid diseases. TTR self assembles as a homotetramer leaving a central hydrophobic channel with two symmetrical binding sites. The aggregation pathway of TTR into amiloid fibrils is not yet well characterized but in vitro binding of thyroid hormones and other small organic molecules to TTR binding channel results in tetramer stabilization which prevents amyloid formation in an extent which is proportional to the binding constant. Up to now, TTR aggregation inhibitors have been designed looking at various structural features of this binding channel others than its ability to host iodine atoms. In the present work, greatly improved inhibitors have been designed and tested by taking into account that thyroid hormones are unique in human biochemistry owing to the presence of multiple iodine atoms in their molecules which are probed to interact with specific halogen binding domains sitting at the TTR binding channel. The new TTR fibrillogenesis inhibitors are based on the diflunisal core structure because diflunisal is a registered salicylate drug with NSAID activity now undergoing clinical trials for TTR amyloid diseases. Biochemical and biophysical evidence confirms that iodine atoms can be an important design feature in the search for candidate drugs for TTR related amyloidosis. PMID:19125186

  8. Clinical Features and Molecular Analysis of Hb H Disease in Taiwan

    Directory of Open Access Journals (Sweden)

    Yu-Hua Chao

    2014-01-01

    Full Text Available Thalassemia is highly prevalent in Taiwan, but limited data are available about the association between genotypes and clinical manifestations in Taiwanese patients with Hb H disease. Here, we studied α-globin gene abnormalities and clinical features in Taiwanese patients with Hb H disease. Of the 90 patients, sixty-four (71.1% were deletional and twenty-six (28.9% were nondeletional Hb H disease. The (- -SEA type of α0-thalassemia mutation was detected in the majority of patients (>95%. The most common genotype was (- -SEA/-α3.7, followed by (- -SEA/αcsα. After further investigation of the genotype-phenotype correlation in 68 patients, we found that patients with nondeletional Hb H disease had more severe clinical features than those with deletional Hb H disease, including younger age at diagnosis, more requirement of blood transfusions, and larger proportion of patients with splenomegaly, hepatomegaly or jaundice. This is probably a consequence of the lower hemoglobin levels and the higher Hb H levels. The clinical severity was highly variable even among patients with an identical genotype, and the diversity was much more profound among patients with (- -/αcsα genotype. Therefore, predicting the phenotype directly from the genotype in Hb H disease remains relatively difficult in Taiwan.

  9. Using molecular docking to investigate the anti-breast cancer activity of low molecular weight compounds present on wild mushrooms.

    Science.gov (United States)

    Froufe, H J C; Abreu, R M V; Ferreira, I C F R

    2011-06-01

    Mushrooms represent an unlimited source of compounds with anti-tumour and immunostimulating properties, and their intake has been shown to reduce the risk of breast cancer. A large number of low molecular weight (LMW) compounds present in mushrooms have been identified, including phenolic acids, flavonoids, tocopherols, carotenoids, sugars and fatty acids. In order to evaluate which wild mushroom LMW compounds may be involved in anti-breast cancer activity we selected a representative dataset of 43 LMW compounds and performed molecular docking against three known protein targets involved in breast cancer (aromatase, estrone sulfatase and 17β-HSD-1) using AutoDock4 as docking software. The estimated inhibition constants for all LMW compounds were determined, and the potential structure-activity relationships for the compounds with the best estimated inhibition constants are discussed for each compound family. 4-O-caffeoylquinic, naringin and lycopene stand out as the top-ranked potential inhibitors for aromatase, estrone sulfatase and 17β-HSD1, respectively, and the 3-D docked conformations for these compounds are discussed in detail. This information provides several interesting starting points for further development of aromatase, estrone sulfatase and 17β-HSD1 inhibitors. PMID:21598196

  10. Differential CT features between malignant mesothelioma and pleural metastasis from lung cancer or extra thoracic primary tumor mimicking malignant mesothelioma

    International Nuclear Information System (INIS)

    To evaluate the differential CT features found among malignant mesothelioma and pleural metastasis from lung cancer and from extra-thoracic primary tumor which on CT mimic malignant mesothelioma. Forty-four patients who on chest CT scans showed pleural thickening suggesting malignant pleural disease and in whom this condition was pathologically confirmed were included in this study. On the basis of their pathologically proven primary disease (malignant mesothelioma (n=3D14), pleural metastasis of lung cancer (n=3D18), extra thoracic primary tumor (n=3D12). They were divided into three groups. Cases of lung which on CT showed a primary lung nodule or endobronchial mass with pleural lesion, or manifested only pleural effusion, were excluded. The following eight CT features were retrospectively analyzed: 1) configuration of pleural lesion (type I, single or multiple separate nodules, type II, localized flat pleural thickening, type III, diffuse flat pleural thickening; type IV, type III with pleural nodules superimposed; type V, mass filling the hemithorax), 2) the presence of pleural effusion, 3) chest wall or rib invasion, 4) the involvement of a major fissure, 5) extra-pleural fat proliferation, 6) calcified plaque, 7) metastatic lymph nodes, 8) metastatic lung modules. In malignant mesothelioma, type IV (8/14) or II (4/14) pleural thickening was relatively frequent. Pleural metastasis of lung cancer favored type IV (8/18) or I (6/18) pleural thickening, while pleural metastasis from extrathoracic primary tumor showed a variable thickening configuration, except type V. Pleural metastasis from lung cancer and extrapleural primary tumor more frequently showed type I configuration than did malignant mesothelioma, and there were significant differences among the three groups. Fissural involvement, on the other hand, was significantly more frequent in malignant mesothelioma than in pleural metastasis from lung cancer or extrapleural primary tumor. Metastatic lymph nodes

  11. Automated tumor analysis for molecular profiling in lung cancer.

    Science.gov (United States)

    Hamilton, Peter W; Wang, Yinhai; Boyd, Clinton; James, Jacqueline A; Loughrey, Maurice B; Hougton, Joseph P; Boyle, David P; Kelly, Paul; Maxwell, Perry; McCleary, David; Diamond, James; McArt, Darragh G; Tunstall, Jonathon; Bankhead, Peter; Salto-Tellez, Manuel

    2015-09-29

    The discovery and clinical application of molecular biomarkers in solid tumors, increasingly relies on nucleic acid extraction from FFPE tissue sections and subsequent molecular profiling. This in turn requires the pathological review of haematoxylin & eosin (H&E) stained slides, to ensure sample quality, tumor DNA sufficiency by visually estimating the percentage tumor nuclei and tumor annotation for manual macrodissection. In this study on NSCLC, we demonstrate considerable variation in tumor nuclei percentage between pathologists, potentially undermining the precision of NSCLC molecular evaluation and emphasising the need for quantitative tumor evaluation. We subsequently describe the development and validation of a system called TissueMark for automated tumor annotation and percentage tumor nuclei measurement in NSCLC using computerized image analysis. Evaluation of 245 NSCLC slides showed precise automated tumor annotation of cases using Tissuemark, strong concordance with manually drawn boundaries and identical EGFR mutational status, following manual macrodissection from the image analysis generated tumor boundaries. Automated analysis of cell counts for % tumor measurements by Tissuemark showed reduced variability and significant correlation (p tissue samples for molecular profiling in discovery and diagnostics. PMID:26317646

  12. Tumor-Derived Cell Lines as Molecular Models of Cancer Pharmacogenomics.

    Science.gov (United States)

    Goodspeed, Andrew; Heiser, Laura M; Gray, Joe W; Costello, James C

    2016-01-01

    Compared with normal cells, tumor cells have undergone an array of genetic and epigenetic alterations. Often, these changes underlie cancer development, progression, and drug resistance, so the utility of model systems rests on their ability to recapitulate the genomic aberrations observed in primary tumors. Tumor-derived cell lines have long been used to study the underlying biologic processes in cancer, as well as screening platforms for discovering and evaluating the efficacy of anticancer therapeutics. Multiple -omic measurements across more than a thousand cancer cell lines have been produced following advances in high-throughput technologies and multigroup collaborative projects. These data complement the large, international cancer genomic sequencing efforts to characterize patient tumors, such as The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC). Given the scope and scale of data that have been generated, researchers are now in a position to evaluate the similarities and differences that exist in genomic features between cell lines and patient samples. As pharmacogenomics models, cell lines offer the advantages of being easily grown, relatively inexpensive, and amenable to high-throughput testing of therapeutic agents. Data generated from cell lines can then be used to link cellular drug response to genomic features, where the ultimate goal is to build predictive signatures of patient outcome. This review highlights the recent work that has compared -omic profiles of cell lines with primary tumors, and discusses the advantages and disadvantages of cancer cell lines as pharmacogenomic models of anticancer therapies. PMID:26248648

  13. Curcumin: a Polyphenol with Molecular Targets for Cancer Control.

    Science.gov (United States)

    Qadir, Muhammad Imran; Naqvi, Syeda Tahira Qousain; Muhammad, Syed Aun

    2016-01-01

    Curcumin, is a polyphenol from Curcuma longa (turmeric plant), is a polyphenol that belongs to the ginger family which has long been used in Ayurveda medicines to treat various diseases such as asthma, anorexia, coughing, hepatic diseases, diabetes, heart diseases, wound healing and Alzheimer's. Various studies have shown that curcumin has anti-infectious, anti-inflammatory, anti-oxidant, hepatoprotective, thrombosuppressive, cardio protective, anti-arthritic, chemo preventive and anti-carcinogenic activities. It may suppress both initiation and progression stages of cancer. Anticancer activity of curcumin is due to negative regulation of inflammatory cytokines, transcription factors, protein kinases, reactive oxygen species (ROS) and oncogenes. This review focuses on the different targets of curcumin to treat cancer. PMID:27356682

  14. The promise of molecular epidemiology in defining the association between radiation and cancer

    International Nuclear Information System (INIS)

    Molecular epidemiology involves the inclusion in epidemiologic studies of biologic measurements made at a genetic and molecular level and aims to improve the current knowledge of disease etiology and risk. One of the goals of molecular epidemiology studies of cancer is to determine the role of environmental and genetic factors in initiation and progression of malignancies and to use this knowledge to develop preventive strategies. This approach promises extraordinary opportunities for revolutionizing the practice of medicine and reducing risk. However, this will be accompanied by the need to address and resolve many challenges, such as ensuring the appropriate interpretation of molecular testing and resolving associated ethical, legal, and social issues. Traditional epidemiologic approaches determined that exposure to ionizing radiation poses significantly increased risk of leukemia and several other types of cancer. Such studies provided the basis for setting exposure standards to protect the public and the workforce from potentially adverse effects of ionizing radiation. These standards were set by using modeling approaches to extrapolate from the biological effects observed in high-dose radiation studies to predicted, but mostly immeasurable, effects at low radiation doses. It is anticipated that the addition of the molecular parameters to the population-based studies will help identify the genes and pathways characteristic of cancers due to radiation exposure of individuals, as well as identify susceptible or resistant subpopulations. In turn, the information about the molecular mechanisms should aid to improve risk assessment. While studies on radiogenic concerns are currently limited to only a few candidate genes, the exponential growth of scientific knowledge and technology promises expansion of knowledge about identity of participating genes and pathways in the future. This article is meant to provide an introductory overview of recent advances in

  15. Tryptophan metabolism in breast cancers: molecular imaging and immunohistochemistry studies

    International Nuclear Information System (INIS)

    Introduction: Tryptophan oxidation via the kynurenine pathway is an important mechanism of tumoral immunoresistance. Increased tryptophan metabolism via the serotonin pathway has been linked to malignant progression in breast cancer. In this study, we combined quantitative positron emission tomography (PET) with tumor immunohistochemistry to analyze tryptophan transport and metabolism in breast cancer. Methods: Dynamic α-[11C]methyl-L-tryptophan (AMT) PET was performed in nine women with stage II–IV breast cancer. PET tracer kinetic modeling was performed in all tumors. Expression of L-type amino acid transporter 1 (LAT1), indoleamine 2,3-dioxygenase (IDO; the initial and rate-limiting enzyme of the kynurenine pathway) and tryptophan hydroxylase 1 (TPH1; the initial enzyme of the serotonin pathway) was assessed by immunostaining of resected tumor specimens. Results: Tumor AMT uptake peaked at 5–20 min postinjection in seven tumors; the other two cases showed protracted tracer accumulation. Tumor standardized uptake values (SUVs) varied widely (2.6–9.8) and showed a strong positive correlation with volume of distribution values derived from kinetic analysis (P < .01). Invasive ductal carcinomas (n = 6) showed particularly high AMT SUVs (range, 4.7–9.8). Moderate to strong immunostaining for LAT1, IDO and TPH1 was detected in most tumor cells. Conclusions: Breast cancers show differential tryptophan kinetics on dynamic PET. SUVs measured 5–20 min postinjection reflect reasonably the tracer's volume of distribution. Further studies are warranted to determine if in vivo AMT accumulation in these tumors is related to tryptophan metabolism via the kynurenine and serotonin pathways.

  16. Hyperpolarized 13C MR for Molecular Imaging of Prostate Cancer

    OpenAIRE

    Wilson, David M.; Kurhanewicz, John

    2014-01-01

    Hyperpolarization using dissolution dynamic nuclear polarization has emerged as a versatile method to dramatically improve the MR signal of low-sensitivity nuclei. This technique facilitates the study of real-time metabolism in vitro and in vivo using 13C-enriched substrates and has been applied to numerous models of human disease. In particular, several mechanisms underlying prostate cancer have been interrogated using hyperpolarized 13C MR spectroscopy. This review highlights key metabolic ...

  17. Molecular conservation of estrogen-response associated with cell cycle regulation, hormonal carcinogenesis and cancer in zebrafish and human cancer cell lines

    OpenAIRE

    Govindarajan Kunde R; Li Haixia; Murthy Karuturi RK; Fu Pan Y; Thomsen Jane S; Lin Chin Y; Lee Serene GP; Lam Siew; Nick Lin CH; Bourque Guillaume; Gong Zhiyuan; Lufkin Thomas; Liu Edison T; Mathavan Sinnakaruppan

    2011-01-01

    Abstract Background The zebrafish is recognized as a versatile cancer and drug screening model. However, it is not known whether the estrogen-responsive genes and signaling pathways that are involved in estrogen-dependent carcinogenesis and human cancer are operating in zebrafish. In order to determine the potential of zebrafish model for estrogen-related cancer research, we investigated the molecular conservation of estrogen responses operating in both zebrafish and human cancer cell lines. ...

  18. MOLECULAR MARKERS OF BLADDER CANCER: FROM THE PARTICULAR TO THE GENERAL

    Directory of Open Access Journals (Sweden)

    A. A. Zabolotneva

    2014-08-01

    Full Text Available Bladder cancer (BC is the second most common urinary tract malignancy. Early diagnosis of BC generally increases the probability of successful treatment in a patient. The paper considers noninvasive diagnosis methods for BC and gives a database of the known molecular markers of this disease.

  19. MOLECULAR MARKERS OF BLADDER CANCER: FROM THE PARTICULAR TO THE GENERAL

    OpenAIRE

    A. A. Zabolotneva; N. M. Gaifullin; A. A. Buzdin; B. Ya. Alekseyev; Yu. Yu. Andreyeva; P. V. Shegai; D. G. Sokov; I. G. Rusakov

    2011-01-01

    Bladder cancer (BC) is the second most common urinary tract malignancy. Early diagnosis of BC generally increases the probability of successful treatment in a patient. The paper considers noninvasive diagnosis methods for BC and gives a database of the known molecular markers of this disease.

  20. Which, when and why? Rational use of tissue-based molecular testing in localized prostate cancer.

    Science.gov (United States)

    Ross, A E; D'Amico, A V; Freedland, S J

    2016-03-01

    An increased molecular understanding of localized prostate cancer and the improved ability for molecular testing of pathologic tissue has led to the development of multiple clinical assays. Here we review the relevant molecular biology of localized prostate cancer, currently available tissue-based tests and describe which is best supported for use in various clinical scenarios. Literature regarding testing of human prostate cancer tissue with Ki-67, PTEN (by immunohistochemistry (IHC) or fluroescence in situ hybridization (FISH)), ProMark, Prolaris, OncotypeDX Prostate and Decipher was reviewed to allow for generation of expert opinions. At diagnosis, evaluation of PTEN status, use of ProMark or OncotypeDX Prostate in men with Gleason 6 or 3+4=7 disease may help guide the use of active surveillance. For men with Gleason 7 or above disease considering watchful waiting, Ki-67 and Prolaris add independent prognostic information. For those men who have undergone prostatectomy and have adverse pathology, Decipher testing may aid in the decision to undergo adjuvant radiation. Newly available molecular tests bring opportunities to improve decision making for men with localized prostate cancer. A review of the currently available data suggests clinical scenarios for which each of these tests may have the greatest utility. PMID:26123120

  1. Current dichotomy between traditional molecular biological and omic research in cancer biology and pharmacology.

    Science.gov (United States)

    Reinhold, William C

    2015-12-10

    There is currently a split within the cancer research community between traditional molecular biological hypothesis-driven and the more recent "omic" forms or research. While the molecular biological approach employs the tried and true single alteration-single response formulations of experimentation, the omic employs broad-based assay or sample collection approaches that generate large volumes of data. How to integrate the benefits of these two approaches in an efficient and productive fashion remains an outstanding issue. Ideally, one would merge the understandability, exactness, simplicity, and testability of the molecular biological approach, with the larger amounts of data, simultaneous consideration of multiple alterations, consideration of genes both of known interest along with the novel, cross-sample comparisons among cell lines and patient samples, and consideration of directed questions while simultaneously gaining exposure to the novel provided by the omic approach. While at the current time integration of the two disciplines remains problematic, attempts to do so are ongoing, and will be necessary for the understanding of the large cell line screens including the Developmental Therapeutics Program's NCI-60, the Broad Institute's Cancer Cell Line Encyclopedia, and the Wellcome Trust Sanger Institute's Cancer Genome Project, as well as the the Cancer Genome Atlas clinical samples project. Going forward there is significant benefit to be had from the integration of the molecular biological and the omic forms or research, with the desired goal being improved translational understanding and application. PMID:26677427

  2. Study of molecular mechanism of cancer cell apoptosis induced by proton beam

    International Nuclear Information System (INIS)

    A gal of this study is (i) to confirm JNK-mediated histone H2AX phosphorylation in apoptotic cancer cell in response to proton irradiation and (ii) to identify novel H2AX interacting proteins. (iii) Furthermore, we will provide the molecular information about improvement of proton beam-mediated radiotherapy

  3. Prevailing features of X-ray induced molecular electron spectra revealed with fullerenes

    CERN Document Server

    Garibay, Abraham Camacho; Rost, Jan M

    2014-01-01

    Intense X-ray photo-absorption from short and intense pulses by a molecule triggers complicated electron and subsequently ion dynamics leading to photo-electron spectra which are difficult to interpret. Illuminating fullerenes offers a way to separate out the electron dynamics. Moreover, the fullerene cage confines spatially the origin of photo and Auger electrons. Together with the sequential nature of the photo processes at intensities available at X-ray free electron lasers, this allows for a remarkably detailed interpretation of the photo-electron spectra as we will demonstrate. The general features derived can serve as a paradigm for less well-defined situations in other large molecules or clusters.

  4. Detection of EML4-ALK fusion gene and features associated with EGFR mutations in Chinese patients with non-small-cell lung cancer

    Directory of Open Access Journals (Sweden)

    Wen MM

    2016-04-01

    Full Text Available Miaomiao Wen, Xuejiao Wang, Ying Sun, Jinghua Xia, Liangbo Fan, Hao Xing, Zhipei Zhang, Xiaofei Li Department of Thoracic Surgery, Tangdu Hospital, The Fourth Military Medical University, Xi’an, Shaanxi, People’s Republic of China Purpose: Echinoderm microtubule-associated protein-like 4–anaplastic lymphoma kinase (EML4-ALK and epidermal growth factor receptor (EGFR define specific molecular subsets of lung cancer with distinct clinical features. We aimed at revealing the clinical features of EML4-ALK fusion gene and EGFR mutation in non-small-cell lung cancer (NSCLC.Methods: We enrolled 694 Chinese patients with NSCLC for analysis. EML4-ALK fusion gene was analyzed by real-time polymerase chain reaction, and EGFR mutations were analyzed by amplified refractory mutation system.Results: Among the 694 patients, 60 (8.65% patients had EML4-ALK fusions. In continuity correction χ2 test analysis, EML4-ALK fusion gene was correlated with sex, age, smoking status, and histology, but no significant association was observed between EML4-ALK fusion gene and clinical stage. A total of 147 (21.18% patients had EGFR mutations. In concordance with previous reports, EGFR mutation was correlated with age, smoking status, histology, and clinical stage, whereas patient age was not significantly associated with EGFR mutation. Meanwhile, to our surprise, six (0.86% patients had coexisting EML4-ALK fusions and EGFR mutations.Conclusion: EML4-ALK fusion gene defines a new molecular subset in patients with NSCLC. Six patients who harbored both EML4-ALK fusion genes and EGFR mutations were identified in our study. The EGFR mutations and the EML4-ALK fusion genes are coexistent. Keywords: NSCLC, EML4-ALK fusion gene, EGFR mutation, RT-PCR

  5. Facial Nerve Palsy: An Unusual Presenting Feature of Small Cell Lung Cancer

    Directory of Open Access Journals (Sweden)

    Ozcan Yildiz

    2011-01-01

    Full Text Available Lung cancer is the second most common type of cancer in the world and is the most common cause of cancer-related death in men and women; it is responsible for 1.3 million deaths annually worldwide. It can metastasize to any organ. The most common site of metastasis in the head and neck region is the brain; however, it can also metastasize to the oral cavity, gingiva, tongue, parotid gland and lymph nodes. This article reports a case of small cell lung cancer presenting with metastasis to the facial nerve.

  6. Quantum Interactomics and Cancer Molecular Mechanisms: I. Report Outline

    CERN Document Server

    Baianu, I C

    2004-01-01

    Single cell interactomics in simpler organisms, as well as somatic cell interactomics in multicellular organisms, involve biomolecular interactions in complex signalling pathways that were recently represented in modular terms by quantum automata with ‘reversible behavior’ representing normal cell cycling and division. Other implications of such quantum automata, modular modeling of signaling pathways and cell differentiation during development are in the fields of neural plasticity and brain development leading to quantum-weave dynamic patterns and specific molecular processes underlying extensive memory, learning, anticipation mechanisms and the emergence of human consciousness during the early brain development in children. Cell interactomics is here represented for the first time as a mixture of ‘classical’ states that determine molecular dynamics subject to Boltzmann statistics and ‘steady-state’, metabolic (multi-stable) manifolds, together with ‘configuration’ spaces of metastable quant...

  7. Multiple Molecular and Cellular Mechanisms of Action of Lycopene in Cancer Inhibition

    Directory of Open Access Journals (Sweden)

    Cristina Trejo-Solís

    2013-01-01

    Full Text Available Epidemiological studies suggest that including fruits, vegetables, and whole grains in regular dietary intake might prevent and reverse cellular carcinogenesis, reducing the incidence of primary tumours. Bioactive components present in food can simultaneously modulate more than one carcinogenic process, including cancer metabolism, hormonal balance, transcriptional activity, cell-cycle control, apoptosis, inflammation, angiogenesis and metastasis. Some studies have shown an inverse correlation between a diet rich in fruits, vegetables, and carotenoids and a low incidence of different types of cancer. Lycopene, the predominant carotenoid found in tomatoes, exhibits a high antioxidant capacity and has been shown to prevent cancer, as evidenced by clinical trials and studies in cell culture and animal models. In vitro studies have shown that lycopene treatment can selectively arrest cell growth and induce apoptosis in cancer cells without affecting normal cells. In vivo studies have revealed that lycopene treatment inhibits tumour growth in the liver, lung, prostate, breast, and colon. Clinical studies have shown that lycopene protects against prostate cancer. One of the main challenges in cancer prevention is the integration of new molecular findings into clinical practice. Thus, the identification of molecular biomarkers associated with lycopene levels is essential for improving our understanding of the mechanisms underlying its antineoplastic activity.

  8. Predicting cancer drug mechanisms of action using molecular network signatures

    OpenAIRE

    Pritchard, Justin R.; Bruno, Peter M.; Hemann, Michael T.; Lauffenburger, Douglas A.

    2012-01-01

    Molecular signatures are a powerful approach to characterize novel small molecules and derivatized small molecule libraries. While new experimental techniques are being developed in diverse model systems, informatics approaches lag behind these exciting advances. We propose an analysis pipeline for signature based drug annotation. We develop an integrated strategy, utilizing supervised and unsupervised learning methodologies that are bridged by network based statistics. Using this approach we...

  9. A new set of wavelet- and fractals-based features for Gleason grading of prostate cancer histopathology images

    Science.gov (United States)

    Mosquera Lopez, Clara; Agaian, Sos

    2013-02-01

    Prostate cancer detection and staging is an important step towards patient treatment selection. Advancements in digital pathology allow the application of new quantitative image analysis algorithms for computer-assisted diagnosis (CAD) on digitized histopathology images. In this paper, we introduce a new set of features to automatically grade pathological images using the well-known Gleason grading system. The goal of this study is to classify biopsy images belonging to Gleason patterns 3, 4, and 5 by using a combination of wavelet and fractal features. For image classification we use pairwise coupling Support Vector Machine (SVM) classifiers. The accuracy of the system, which is close to 97%, is estimated through three different cross-validation schemes. The proposed system offers the potential for automating classification of histological images and supporting prostate cancer diagnosis.

  10. Statistical Feature-based Neural Network Approach for the Detection of Lung Cancer in Chest X-Ray Images K.

    Directory of Open Access Journals (Sweden)

    K.A.G. Udeshani, R.G.N. Meegama & T.G.I. Fernando

    2011-10-01

    Full Text Available Lung cancer, if detected successfully at early stages, enables many treatment options,reduced risk of invasive surgery and increased survival rate. This paper presents a novelapproach to detect lung cancer from raw chest X-ray images. At the first stage, we use apipeline of image processing routines to remove noise and segment the lung from otheranatomical structures in the chest X-ray and extract regions that exhibit shape characteristicsof lung nodules. Subsequently, first and second order statistical texture features areconsidered as the inputs to train a neural network to verify whether a region extracted in thefirst stage is a nodule or not . The proposed approach detected nodules in the diseased areaof the lung with an accuracy of 96% using the pixel-based technique while the feature-basedtechnique produced an accuracy of 88%.

  11. The prognostic impact of clinical and molecular features in hairy cell leukaemia variant and splenic marginal zone lymphoma.

    Science.gov (United States)

    Hockley, Sarah L; Else, Monica; Morilla, Alison; Wotherspoon, Andrew; Dearden, Claire; Catovsky, Daniel; Gonzalez, David; Matutes, Estella

    2012-08-01

    Hairy cell leukaemia variant (HCL-variant) and splenic marginal zone lymphoma (SMZL) are disorders with overlapping features. We investigated the prognostic impact in these disorders of clinical and molecular features including IGH VDJ rearrangements, IGHV gene usage and TP 53 mutations. Clinical and laboratory data were collected before therapy from 35 HCL-variant and 68 SMZL cases. End-points were the need for treatment and overall survival. 97% of HCL-variant and 77% of SMZL cases required treatment (P = 0·009). Survival at 5 years was significantly worse in HCL-variant [57% (95% confidence interval 38-73%)] compared with SMZL [84% (71-91%); Hazard Ratio 2·25 (1·20-4·25), P = 0·01]. In HCL-variant, adverse prognostic factors for survival were older age (P = 0·04), anaemia (P = 0·01) and TP 53 mutations (P = 0·02). In SMZL, splenomegaly, anaemia and IGHV genes with >98% homology to the germline predicted the need for treatment; older age, anaemia and IGHV unmutated genes (100% homology) predicted shorter survival. IGHV gene usage had no impact on clinical outcome in either disease. The combination of unfavourable factors allowed patients to be stratified into risk groups with significant differences in survival. Although HCL-variant and SMZL share some features, they have different outcomes, influenced by clinical and biological factors. PMID:22594855

  12. Molecular and genetic features of zinc transporters in physiology and pathogenesis.

    Science.gov (United States)

    Fukada, Toshiyuki; Kambe, Taiho

    2011-07-01

    Zinc (Zn) is a vital element. It plays indispensable roles in multifarious cellular processes, affecting the expression and activity of a variety of molecules, including transcription factors, enzymes, adapters, channels, growth factors, and their receptors. A disturbance in Zn homeostasis due to Zn deficiency or an excess of Zn absorption can therefore impair the cellular machinery and exert various influences on physiological programs, such as systemic growth, morphogenetic processes, and immune responses, as well as neuro-sensory and endocrine functions. Thus, Zn imbalance becomes pathogenic in humans. Zn homeostasis is controlled by the coordinated actions of Zn transporters, which are responsible for Zn influx and efflux, and intricately regulate the intracellular and extracellular Zn concentration and distribution. In this review, we describe crucial roles of Zn transporters in biological phenomena, focusing in particular on how Zn transporters contribute to cellular events at the molecular, biochemical, and genetic level, with recent progress uncovering the roles of Zn transporters in physiology and pathogenesis. PMID:21566827

  13. Clinical, hematological, and molecular features in Sicilians with sickle cell disease.

    Science.gov (United States)

    Schilirò, G; Samperi, P; Consalvo, C; Gangarossa, S; Testa, R; Miraglia, V; Lo Nigro, L

    1992-01-01

    We report the clinical, hematological, and molecular findings observed in 32 Sicilian patients with sickle cell disease. None of our patients received regular blood transfusions and careful infectious disease prophylaxis was carried out for all. Haplotyping of beta S chromosomes was performed in all patients; all were homozygous for haplotype #19 (Benin). Gene mapping excluded the presence of an alpha-thalassemia in 13 of our patients; none of the relatives showed any evidence of the presence of alpha-thalassemia. Hb F levels were 11.8 +/- 5.9% with G gamma representing 39.6 +/- 3.6% of total gamma chain. Hb F levels were higher in females than in males (12.5 +/- 5.9% versus 9.7 +/- 6.5%) but the difference was not statistically significant. All patients, regardless of age and sex, were anemic with normal mean corpuscular hemoglobin concentration, high mean corpuscular volume and mean corpuscular hemoglobin, and mild reticulocytosis. Analysis of clinical manifestations suggests that our patients have a disease of moderate severity. PMID:1487418

  14. The Immunohistochemical Assessment of ALDH1 Activity in Breast Cancer and it’s Correlation With Pathologic Features

    Directory of Open Access Journals (Sweden)

    Molanae S

    2011-12-01

    Full Text Available Background: Aldehyde dehydrogenase 1 (ALDH1 is a marker of normal and malignant human mammary stem cells that has been reported to be associated with poor prognosis. Studies on the detection of ALDH1+ cells can help the treatment of patients with breast cancer. The aim of this study was to determine the activity of ALDH1 in breast cancer and its relationship with the pathological features of the tumors.Methods: ALDH1 activity was studied by immunohistochemistry in 121 paraffin-embedded histological samples of breast cancer patients from Department of Pathology of Milad Hospital, Tehran, Iran during 2006-2007. The relationship of ALDH1 with the pathological features of the tumors (size, grade, lymph node metastasis and vascular invasion was also investigated.Results: Eighty-five percent of breast cancer samples expressed ALDH1 in their cytoplasm with a wide range of intensity (weak, moderate and strong, while 18 samples (14.9% were completely negative. The majority of cases (97.1% showed ALDH1 positivity in the stroma of tumors which varied from weak (2.9% to strong (73.5%. ALDH1 H-score (ALDH1% × intensity of tumor cells varied from 0 to 240 (mean= 80. ALDH1 H-score was ≤80 in 62 (51.2% and >80 in 59 (48.8% samples. There was no statistically significant relationship between ALDH1 H-score and age (P=0.358, tumor size (P=0.375, tumor grade (P=0.207, lymph node metastasis (P=0.125 or vascular invasion (P=0.190.Conclusion: ALDH1 activity was demonstrated in 85.1% of breast cancer samples although its level of expression was not correlated with the pathologic features of breast tumors.

  15. Phosphoproteomic analysis for the identification of predictive molecular factors and new molecular targets in breast, colorectal, ovary, and lung cancer

    International Nuclear Information System (INIS)

    Neoadjuvant chemotherapy is a standard therapeutic approach for several types of locally advanced and metastatic tumors. Molecular factors predictive of response to therapy are highly needed for exploiting the potential benefit of properative chemotherapy. Moreover, neoadjuvant chemotherapy represents an ideal clinical model for studying predictive factors since it allows to obtain pre-treatment tissue biopsies which can be analyzed and the results compared to clinical and pathological response. Protein kinases represent some of the most important drug targets in medicine today and their aberrant activation are involved in many disease processes including cancer development and progression

  16. Molecular imaging of cancer with radiolabeled peptides and PET.

    Science.gov (United States)

    Vāvere, Amy L; Rossin, Raffaella

    2012-06-01

    Radiolabeled peptides hold promise for diagnosis and therapy of cancer as well as for early monitoring of therapy outcomes, patient stratification, etc. This manuscript focuses on the development of peptides labeled with 18F, 64Cu, 68Ga and other positron-emitting radionuclides for PET imaging. The major techniques for radionuclide incorporation are briefly discussed. Then, examples of positron-emitting peptides targeting somatostatin receptors, integrins, gastrin-releasing peptide receptors, vasointestinal peptide receptors, melanocortin 1 receptors and others are reviewed. PMID:22292762

  17. Serum high mobility group box-1 (HMGB1 is closely associated with the clinical and pathologic features of gastric cancer

    Directory of Open Access Journals (Sweden)

    Chung Jae

    2009-05-01

    Full Text Available Abstract Background High mobility group box-1 (HMGB1 is a newly recognized factor regulating cancer cell tumorigenesis, expansion and invasion. We investigated the correlation between the serum HMGB1 levels and the clinical and pathologic features of gastric cancer and evaluated the validity of HMGB1 as a potential biomarker for the early diagnosis of gastric cancer. Methods A total of 227 subjects were classified into 5 disease groups according to the 'gastritis-dysplasia-carcinoma' sequence of gastric carcinogenesis and their serum levels of HMGB1 were analyzed by an enzyme-linked immunosorbent assay (ELISA method. Clinical parameters, International Union Against Cancer (UICC TNM stage, cancer size, differentiation or lymphatic invasion, vascular or perineural invasion and prognosis were used as analysis variables. Results The serum HMGB1 levels were significantly different among disease groups (ANOVA, p and HMGB1 levels tended to increase according to the progression of gastric carcinogenesis. Serum HMGB1 levels were significantly associated with depth of invasion, lymph node metastasis, tumor size, and poor prognosis (p . However, HMGB1 levels were not associated with patient gender or age, differentiation of tumor cells, or lymphatic, vascular and perineural invasion, or the existence of distant metastasis in advanced cancer (p > 0.05. The sensitivity and specificity of serum HMGB1 was 71% and 67% (cut-off value of 5 ng/ml for the diagnosis of early gastric cancer, and 70% and 64% (cut-off value of 4 ng/ml for the diagnosis of high-risk lesions, respectively. These values were greater than those for carcinoembryonic antigen (CEA (30–40% of sensitivity. Conclusion HMGB1 appears to be a useful serological biomarker for early diagnosis as well as evaluating the tumorigenesis, stage, and prognosis of gastric cancer.

  18. The Correlation between Microsatellite Instability and the Features of Sporadic Colorectal Cancer in the North Part of Iran

    Directory of Open Access Journals (Sweden)

    Masoumeh Faghani

    2012-01-01

    Full Text Available Background. The aim of this study was to determine the correlation between MSI and sporadic colorectal cancer in Guilan province, North part of Iran. Materials and Methods. A total of 96 patients who underwent resection for sporadic colorectal cancer in Guilan province were studied. No patients had positive family history of cancers. The frequencies of MSI were analyzed by testing the BAT-26 and BAT-25 markers. Results. MSI analysis revealed that 22.9% of the tumors (22 patients were microsatellite instability positive and 77.1% (74 patients were microsatellite instability negative. The highest rate of MSI (40.9% was found in the rectal region. MSI-H status was seen more frequently in distal tumors (P=0.04, odds ratio = 3.13, 0.96–10.14. Conclusions. Distal tumor location and MSI may associate with special clinicopathological features. It seems that there may be correlation with underlying genetic and immunologic mechanisms.

  19. Molecular features of interaction between VEGFA and anti-angiogenic drugs used in retinal diseases: a computational approach.

    Science.gov (United States)

    Platania, Chiara B M; Di Paola, Luisa; Leggio, Gian M; Romano, Giovanni L; Drago, Filippo; Salomone, Salvatore; Bucolo, Claudio

    2015-01-01

    Anti-angiogenic agents are biological drugs used for treatment of retinal neovascular degenerative diseases. In this study, we aimed at in silico analysis of interaction of vascular endothelial growth factor A (VEGFA), the main mediator of angiogenesis, with binding domains of anti-angiogenic agents used for treatment of retinal diseases, such as ranibizumab, bevacizumab and aflibercept. The analysis of anti-VEGF/VEGFA complexes was carried out by means of protein-protein docking and molecular dynamics (MD) coupled to molecular mechanics-Poisson Boltzmann Surface Area (MM-PBSA) calculation. Molecular dynamics simulation was further analyzed by protein contact networks. Rough energetic evaluation with protein-protein docking scores revealed that aflibercept/VEGFA complex was characterized by electrostatic stabilization, whereas ranibizumab and bevacizumab complexes were stabilized by Van der Waals (VdW) energy term; these results were confirmed by MM-PBSA. Comparison of MM-PBSA predicted energy terms with experimental binding parameters reported in literature indicated that the high association rate (Kon) of aflibercept to VEGFA was consistent with high stabilizing electrostatic energy. On the other hand, the relatively low experimental dissociation rate (Koff) of ranibizumab may be attributed to lower conformational fluctuations of the ranibizumab/VEGFA complex, higher number of contacts and hydrogen bonds in comparison to bevacizumab and aflibercept. Thus, the anti-angiogenic agents have been found to be considerably different both in terms of molecular interactions and stabilizing energy. Characterization of such features can improve the design of novel biological drugs potentially useful in clinical practice. PMID:26578958

  20. Molecular features of interaction between VEGFA and anti-angiogenic drugs used in retinal diseases: a computational approach

    Directory of Open Access Journals (Sweden)

    Chiara Bianca Maria Platania

    2015-10-01

    Full Text Available Anti-angiogenic agents are biological drugs used for treatment of retinal neovascular degenerative diseases. In this study, we aimed at in-silico analysis of interaction of vascular endothelial growth factor A (VEGFA, the main mediator of angiogenesis, with binding domains of anti-angiogenic agents used for treatment of retinal diseases, such as ranibizumab, bevacizumab and aflibercept. The analysis of anti-VEGF/VEGFA complexes was carried out by means of protein-protein docking and molecular dynamics (MD coupled to molecular mechanics-Poisson Boltzmann Surface Area (MM-PBSA calculation. Molecular dynamics simulation was further analyzed by protein contact networks. Rough energetic evaluation with protein-protein docking scores revealed that aflibercept/VEGFA complex was characterized by electrostatic stabilization, whereas ranibizumab and bevacizumab complexes were stabilized by Van der Waals (VdW energy term; these results were confirmed by MM-PBSA. Comparison of MM-PBSA predicted energy terms with experimental binding parameters reported in literature indicated that the high association rate (Kon of aflibercept to VEGFA was consistent with high stabilizing electrostatic energy. On the other hand, the relatively low experimental dissociation rate (Koff of ranibizumab may be attributed to lower conformational fluctuations of the ranibizumab/VEGFA complex, higher number of contacts and hydrogen bonds in comparison to bevacizumab and aflibercept. Thus, the anti-angiogenic agents have been found to be considerably different both in terms of molecular interactions and stabilizing energy. Characterization of such features can improve the design of novel biological drugs potentially useful in clinical practice.

  1. Automated diagnosis of mammogram images of breast cancer using discrete wavelet transform and spherical wavelet transform features: a comparative study.

    Science.gov (United States)

    Ganesan, Karthikeyan; Acharya, U Rajendra; Chua, Chua Kuang; Min, Lim Choo; Abraham, Thomas K

    2014-12-01

    Mammograms are one of the most widely used techniques for preliminary screening of breast cancers. There is great demand for early detection and diagnosis of breast cancer using mammograms. Texture based feature extraction techniques are widely used for mammographic image analysis. In specific, wavelets are a popular choice for texture analysis of these images. Though discrete wavelets have been used extensively for this purpose, spherical wavelets have rarely been used for Computer-Aided Diagnosis (CAD) of breast cancer using mammograms. In this work, a comparison of the performance between the features of Discrete Wavelet Transform (DWT) and Spherical Wavelet Transform (SWT) based on the classification results of normal, benign and malignant stage was studied. Classification was performed using Linear Discriminant Classifier (LDC), Quadratic Discriminant Classifier (QDC), Nearest Mean Classifier (NMC), Support Vector Machines (SVM) and Parzen Classifier (ParzenC). We have obtained a maximum classification accuracy of 81.73% for DWT and 88.80% for SWT features using SVM classifier. PMID:24000991

  2. Hereditary non-polyposis colorectal cancer: clinical features and survival. Results from the Danish HNPCC register

    DEFF Research Database (Denmark)

    Myrhøj, T; Bisgaard, M L; Bernstein, Inge Thomsen; Svendsen, L B; Søndergaard, J O; Bülow, Steffen

    1997-01-01

    BACKGROUND: Hereditary non-polyposis colorectal cancer (HNPCC) is a dominantly inherited syndrome characterized by the development of colorectal cancer (CRC) and other carcinomas. Our aim was to evaluate tumour parameters and survival in HNPCC. METHODS: One hundred and eight Danish HNPCC patients...

  3. Computer extracted texture features on T2w MRI to predict biochemical recurrence following radiation therapy for prostate cancer

    Science.gov (United States)

    Ginsburg, Shoshana B.; Rusu, Mirabela; Kurhanewicz, John; Madabhushi, Anant

    2014-03-01

    In this study we explore the ability of a novel machine learning approach, in conjunction with computer-extracted features describing prostate cancer morphology on pre-treatment MRI, to predict whether a patient will develop biochemical recurrence within ten years of radiation therapy. Biochemical recurrence, which is characterized by a rise in serum prostate-specific antigen (PSA) of at least 2 ng/mL above the nadir PSA, is associated with increased risk of metastasis and prostate cancer-related mortality. Currently, risk of biochemical recurrence is predicted by the Kattan nomogram, which incorporates several clinical factors to predict the probability of recurrence-free survival following radiation therapy (but has limited prediction accuracy). Semantic attributes on T2w MRI, such as the presence of extracapsular extension and seminal vesicle invasion and surrogate measure- ments of tumor size, have also been shown to be predictive of biochemical recurrence risk. While the correlation between biochemical recurrence and factors like tumor stage, Gleason grade, and extracapsular spread are well- documented, it is less clear how to predict biochemical recurrence in the absence of extracapsular spread and for small tumors fully contained in the capsule. Computer{extracted texture features, which quantitatively de- scribe tumor micro-architecture and morphology on MRI, have been shown to provide clues about a tumor's aggressiveness. However, while computer{extracted features have been employed for predicting cancer presence and grade, they have not been evaluated in the context of predicting risk of biochemical recurrence. This work seeks to evaluate the role of computer-extracted texture features in predicting risk of biochemical recurrence on a cohort of sixteen patients who underwent pre{treatment 1.5 Tesla (T) T2w MRI. We extract a combination of first-order statistical, gradient, co-occurrence, and Gabor wavelet features from T2w MRI. To identify which of these

  4. miR-126-3p and miR-451a correlate with clinicopathological features of lung adenocarcinoma: The underlying molecular mechanisms.

    Science.gov (United States)

    Chen, Qingyong; Hu, Huizhen; Jiao, Demin; Yan, Jie; Xu, Wei; Tang, Xiali; Chen, Jun; Wang, Jian

    2016-08-01

    Lung cancer is the most common malignancy worldwide. This study aimed to identify miRNA biomarkers of lung adenocarcinoma and to investigate their molecular mechanisms. miRNA expression profiling of tumor tissues and adjacent normal tissues from 10 patients were detected using microarray. Differentially expressed miRNAs (DEMs) were identified, and were verified using quantitative reverse transcription-PCR. Thereafter, correlations between DEM expression and clinicopathological features were determined in 49 patients. Furthermore, Targetscan was utilized to predict target genes, among which transcription factors (TFs) were identified. The interactions among miRNAs, TFs and target genes were used to construct an miRNA-TF-target network. Totally, 11 DEMs were identified, among which two downregulated miRNAs (miR-126-3p and miR-451a) were validated. Low levels of miR-126-3p and miR-451a were associated with poor pathological stage, large tumor diameter and lymph node metastasis (P0.65, P<0.05). For miR-126-3p, 154 target genes were predicted (e.g., PLXNB2), which were enriched in 29 pathways mainly concerning apoptosis and cancer. For miR‑451a, 397 target genes were predicted, which were enriched in 5 pathways including 'PPAR signaling pathway'. Ten genes were co-regulated by miR-126-3p and miR-451a, e.g., TSC1. Furthermore, an miRNA-TF-target network was constructed, and a sub-network was identified, including 2 miRNAs, 15 targets, and 7 TFs. In conclusion, miR-126-3p and miR-451a predicted the severity of lung adenocarcinoma. However, the possible mechanisms explored by bioinformatics need to be further validated. PMID:27277197

  5. Characterizing structural features of cuticle-degrading proteases from fungi by molecular modeling

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    Fu Yun-Xin

    2007-05-01

    Full Text Available Abstract Background Serine proteases secreted by nematode and insect pathogenic fungi are bio-control agents which have commercial potential for developing into effective bio-pesticides. A thorough understanding of the structural and functional features of these proteases would significantly assist with targeting the design of efficient bio-control agents. Results Structural models of serine proteases PR1 from entomophagous fungus, Ver112 and VCP1 from nematophagous fungi, have been modeled using the homology modeling technique based on the crystal coordinate of the proteinase K. In combination with multiple sequence alignment, these models suggest one similar calcium-binding site and two common disulfide bridges in the three cuticle-degrading enzymes. In addition, the predicted models of the three cuticle-degrading enzymes present an essentially identical backbone topology and similar geometric properties with the exception of a limited number of sites exhibiting relatively large local conformational differences only in some surface loops and the N-, C termini. However, they differ from each other in the electrostatic surface potential, in hydrophobicity and size of the S4 substrate-binding pocket, and in the number and distribution of hydrogen bonds and salt bridges within regions that are part of or in close proximity to the S2-loop. Conclusion These differences likely lead to variations in substrate specificity and catalytic efficiency among the three enzymes. Amino acid polymorphisms in cuticle-degrading enzymes were discussed with respect to functional effects and host preference. It is hoped that these structural models would provide a further basis for exploitation of these serine proteases from pathogenic fungi as effective bio-control agents.

  6. Identification of early molecular markers for breast cancer

    OpenAIRE

    Schlag Peter M; Schoenegg Winfried; Siedentopf Friederike; Sterner-Kock Anja; Kretschmer Céline; Kemmner Wolfgang

    2011-01-01

    Abstract Background The ductal carcinoma in situ (DCIS) of the mammary gland represents an early, pre-invasive stage in the development of invasive breast carcinoma. Since DCIS is a curable disease, it would be highly desirable to identify molecular markers that allow early detection. Mice transgenic for the WAP-SV40 early genome region were used as a model for DCIS development. Gene expression profiling was carried out on DCIS-bearing mice and control animals. Additionally, a set of human DC...

  7. MOLECULAR EPIDEMIOLOGY FEATURES OF HBV/HDV CO-INFECTION IN KYRGYZSTAN

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    A. V. Semenov

    2016-01-01

    Full Text Available One of the most serious health problems in the world are hepatotropic viruses that cause chronic liver disease. Hepatitis B virus is distributed globally; around 5% of the carriers are also infected with hepatitis delta virus. Co-infection or superinfection of hepatitis viruses B and D significantly associated with a much more severe liver disease, compared with infection only hepatitis B virus. However, examination of hepatitis virus B carriers for the presence of hepatitis D virus in most regions of the world is not mandatory. It should be noted that the complete genotype mapping of viruses hepatitis B and D isolated on the territory of the CIS and the countries of the former Soviet Union, there is not yet, despite the constantly ongoing works devoted genotyping hepatotropic virus in the territory of the Russian Federation and neighboring countries. Due to the fact that one of the prospective ways of spreading viruses is the “labor migration” the inhabitants of Central Asia in other countries, including the Russian Federation, there is a need to pay attention to the situation of viral hepatitis in the region. The aim of our study was to estimate the prevalence of genetic variants and characteristics of molecular epidemiology of chronic viral hepatitis co-infection B + D in Kyrgyzstan. The study involved 30 plasma samples from patients with chronic viral hepatitis B and D from different regions of Kyrgyzstan. Based on the phylogenetic analysis of the isolates showed that among patients examined HBV identified only D genotype. Based on the phylogenetic analysis of the isolates indicated that among the examined patients with chronic viral hepatitis B revealed only genotype D. It is shown prevalence of HBV subtype D1 (73.34% compared to the HBV subtype D2 (3.33% and D3 (23.33%. Revealed HDV genotype I with highly variable region of the gene encoding the delta antigen. The high similarity of some isolates with strains specific to neighboring

  8. Molecular characterisation of cell line models for triple-negative breast cancers

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    Grigoriadis Anita

    2012-11-01

    Full Text Available Abstract Background Triple-negative breast cancers (BC represent a heterogeneous subtype of BCs, generally associated with an aggressive clinical course and where targeted therapies are currently limited. Target validation studies for all BC subtypes have largely employed established BC cell lines, which have proven to be effective tools for drug discovery. Results Given the lines of evidence suggesting that BC cell lines are effective tools for drug discovery, we assessed the similarities between triple-negative BCs and cell lines, to identify in vitro representatives, modelling the diversity within this BC subtype. 25 BC cell lines, enriched for those lacking ER, PR and HER2 expression, were subjected to transcriptomic, genomic and epigenomic profiling analyses and comparisons were made to existing knowledge of corresponding perturbations in triple-negative BCs. Transcriptional analysis segregated ER-negative BC cell lines into three groups, displaying distinctive abundances for genes involved in epithelial-mesenchymal transition, apocrine and high-grade carcinomas. DNA copy number aberrations of triple-negative BCs were well represented in cell lines and genes with coordinately altered gene expression showed similar patterns in tumours and cell lines. Methylation events in triple-negative BCs were mostly retained in epigenomes of cell lines. Combined methylation and gene expression analyses revealed a subset of genes characteristic of the Claudin-low BC subtype, exhibiting epigenetic-regulated gene expression in BC cell lines and tumours, suggesting that methylation patterns are likely to underpin subtype-specificity. Conclusion Here, we provide a comprehensive analysis of triple-negative BC features on several molecular levels in BC cell lines, thereby creating an in-depth resource to access the suitability of individual lines as experimental models for studying BC tumour biology, biomarkers and possible therapeutic targets in the context of

  9. Molecular changes in invasive front of oral cancer

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    Mohit Sharma

    2013-01-01

    Full Text Available Treatment planning for oral squamous cell carcinoma (OSCC is based on the clinical TNM (Tumor, Node and Metastasis classification. This system operates on the assumption that small tumours without clinical spread have a better prognosis than larger tumours with metastases. However, it is a well-known fact that some tumours with the same clinical staging show different growth patterns and clinical behaviour. This makes the prognosis for patients with OSCC difficult to predict on the basis of clinical staging alone. Although many histopathological characteristics of OSCC have been identified as prognostic factors, none is believed to be completely infallible. Therefore, a great need exists for more reliable prognostic markers, which will assist in treatment decisions. It is now well documented that several molecular events of significance for tumour spread, such as gain and loss of adhesion molecules, secretion of proteolytic enzymes, increased cell proliferation and initiation of angiogenesis occur at the tumour-host interface or invasive front, where the deepest and presumably most aggressive cells reside. This review describes the various molecular events and interactions, which take place in the invasive front of the OSCC, and elucidates their role as prognostic markers.

  10. Predicting cancer drug mechanisms of action using molecular network signatures.

    Science.gov (United States)

    Pritchard, Justin R; Bruno, Peter M; Hemann, Michael T; Lauffenburger, Douglas A

    2013-07-01

    Molecular signatures are a powerful approach to characterize novel small molecules and derivatized small molecule libraries. While new experimental techniques are being developed in diverse model systems, informatics approaches lag behind these exciting advances. We propose an analysis pipeline for signature based drug annotation. We develop an integrated strategy, utilizing supervised and unsupervised learning methodologies that are bridged by network based statistics. Using this approach we can: 1, predict new examples of drug mechanisms that we trained our model upon; 2, identify "New" mechanisms of action that do not belong to drug categories that our model was trained upon; and 3, update our training sets with these "New" mechanisms and accurately predict entirely distinct examples from these new categories. Thus, not only does our strategy provide statistical generalization but it also offers biological generalization. Additionally, we show that our approach is applicable to diverse types of data, and that distinct biological mechanisms characterize its resolution of categories across different data types. As particular examples, we find that our predictive resolution of drug mechanisms from mRNA expression studies relies upon the analog measurement of a cell stress-related transcriptional rheostat along with a transcriptional representation of cell cycle state; whereas, in contrast, drug mechanism resolution from functional RNAi studies rely upon more dichotomous (e.g., either enhances or inhibits) association with cell death states. We believe that our approach can facilitate molecular signature-based drug mechanism understanding from different technology platforms and across diverse biological phenomena. PMID:23287973

  11. Molecular profiling of breast cancer: transcriptomic studies and beyond.

    Science.gov (United States)

    Culhane, A C; Howlin, J

    2007-12-01

    Utilisation of 'omics' technologies, in particular gene expression profiling, has increased dramatically in recent years. In basic research, high-throughput profiling applications are increasingly used and may now even be considered standard research tools. In the clinic, there is a need for better and more accurate diagnosis, prognosis and treatment response indicators. As such, clinicians have looked to omics technologies for potential biomarkers. These prediction profiling studies have in turn attracted the attention of basic researchers eager to uncover biological mechanisms underlying clinically useful signatures. Here we highlight some of the seminal work establishing the arrival of the omics, in particular transcriptomics, in breast cancer research and discuss a sample of the most current applications. We also discuss the challenges of data analysis and integrated data analysis with emphasis on utilising the current publicly available gene expression datasets. (Part of a Multi-author Review). PMID:17957338

  12. Natural Products as Promising Antitumoral Agents in Breast Cancer: Mechanisms of Action and Molecular Targets.

    Science.gov (United States)

    Bonofiglio, Daniela; Giordano, Cinzia; De Amicis, Francesca; Lanzino, Marilena; Andò, Sebastiano

    2016-01-01

    Extensive research over the past several decades has identified numerous dietary and phytochemical compounds that have chemopreventive potential and could represent an important source of anti-cancer lead molecules. In this scenario several nutritional factors have attracted considerable attention as modifiable risk factor in the prevention of breast cancer, the most frequently diagnosed cancer and a major cause of death among women worldwide. There is an immediate need for more effective and less toxic therapeutic and preventive strategies for breast cancers able also to counteract the recurrent phenomenon of resistance to hormonal and targeted therapy that represent the first-line treatment in the management of breast cancer patients. The present review focuses on chemopreventive and anti-cancer activities of different bioactive compounds obtained from dietary sources such as Omega-3 fatty acids, naturally present in fish, Resveratrol (3,5,40-trihydroxy-transstilbene), a phytoalexin found in grapes and Epigallocatechin Gallate, a polyphenolic compound found in green tea, or purified from medicinal plant (Oldenlandia Diffusa) and fruits (Ziziphus Jujube) highlighting their potential use in breast cancer treatment. Herein, we discuss the molecular mechanisms by which the bioactive compounds can inhibit carcinogenesis by regulating antioxidant enzyme activities, and inducing antiproliferative and apoptotic effects in different breast cancer cell lines. Understanding the mechanism of action of dietary compounds or traditionally used herbs having potential preventive and therapeutic effects on cancer may provide a rationale for further translational studies. This review emphasizes the importance, in the next future, of a proper scientific validation of these natural bioactive compounds for clinical use in the therapeutic portfolio for breast cancer. PMID:26156544

  13. Molecular characterization of the stomach microbiota in patients with gastric cancer and controls

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    Dicksved, J.; Lindberg, M.; Rosenquist, M.; Enroth, H.; Jansson, J.K.; Engstrand, L.

    2009-01-15

    Persistent infection of the gastric mucosa by Helicobacter pylori, can initiate an inflammatory cascade that progresses into atrophic gastritis, a condition associated with reduced capacity for secretion of gastric acid and an increased risk in developing gastric cancer. The role of H. pylori as an initiator of inflammation is evident but the mechanism for development into gastric cancer has not yet been proven. A reduced capacity for gastric acid secretion allows survival and proliferation of other microbes that normally are killed by the acidic environment. It has been postulated that some of these species may be involved in the development of gastric cancer, however their identities are poorly defined. In this study, the gastric microbiota from ten patients with gastric cancer was characterized and compared with five dyspeptic controls using the molecular profiling approach, terminal-restriction fragment length polymorphism (T-RFLP), in combination with 16S rRNA gene cloning and sequencing. T-RFLP analysis revealed a complex bacterial community in the cancer patients that was not significantly different from the controls. Sequencing of 140 clones revealed 102 phylotypes, with representatives from five bacterial phyla (Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria and Fusobacteria). The data revealed a relatively low abundance of H. pylori and showed that the gastric cancer microbiota was instead dominated by different species of the genera Streptococcus, Lactobacillus, Veillonella and Prevotella. The respective role of these species in development of gastric cancer remains to be determined.

  14. Environmental effects on molecular biomarkers expression in pancreatic and brain cancer

    Science.gov (United States)

    Mensah, Lawrence; Mallidi, Srivalleesha; Massodi, Iqbal; Anbil, Sriram; Mai, Zhiming; Hasan, Tayyaba

    2013-03-01

    A complete understanding of the biological mechanisms regulating devastating disease such as cancer remains elusive. Pancreatic and brain cancers are primary among the cancer types with poor prognosis. Molecular biomarkers have emerged as group of proteins that are preferentially overexpressed in cancers and with a key role in driving disease progression and resistance to chemotherapy. The epidermal growth factor receptor (EGFR), a cell proliferative biomarker is particularly highly expressed in most cancers including brain and pancreatic cancers. The ability of EGFR to sustain prolong cell proliferation is augmented by biomarkers such as Bax, Bcl-XL and Bcl-2, proteins regulating the apoptotic process. To better understand the role and effect of the microenvironment on these biomarkers in pancreatic cancer (PaCa); we analysed two pancreatic tumor lines (AsPc-1 and MiaPaCa-2) in 2D, 3D in-vitro cultures and in orthotopic tumors at different growth stages. We also investigated in patient derived glioblastoma (GBM) tumor cultures, the ability to utilize the EGFR expression to specifically deliver photosensitizer to the cells for photodynamic therapy. Overall, our results suggest that (1) microenvironment changes affect biomarker expression; thereby it is critical to understand these effects prior to designing combination therapies and (2) EGFR expression in tumor cells indeed could serve as a reliable and a robust biomarker that could be used to design targeted and image-guided photodynamic therapy.

  15. Mass spectrometry protein expression profiles in colorectal cancer tissue associated with clinico-pathological features of disease

    International Nuclear Information System (INIS)

    Studies of several tumour types have shown that expression profiling of cellular protein extracted from surgical tissue specimens by direct mass spectrometry analysis can accurately discriminate tumour from normal tissue and in some cases can sub-classify disease. We have evaluated the potential value of this approach to classify various clinico-pathological features in colorectal cancer by employing matrix-assisted laser desorption ionisation time of-flight-mass spectrometry (MALDI-TOF MS). Protein extracts from 31 tumour and 33 normal mucosa specimens were purified, subjected to MALDI-Tof MS and then analysed using the 'GenePattern' suite of computational tools (Broad Institute, MIT, USA). Comparative Gene Marker Selection with either a t-test or a signal-to-noise ratio (SNR) test statistic was used to identify and rank differentially expressed marker peaks. The k-nearest neighbours algorithm was used to build classification models either using separate training and test datasets or else by using an iterative, 'leave-one-out' cross-validation method. 73 protein peaks in the mass range 1800-16000Da were differentially expressed in tumour verses adjacent normal mucosa tissue (P ≤ 0.01, false discovery rate ≤ 0.05). Unsupervised hierarchical cluster analysis classified most tumour and normal mucosa into distinct cluster groups. Supervised prediction correctly classified the tumour/normal mucosa status of specimens in an independent test spectra dataset with 100% sensitivity and specificity (95% confidence interval: 67.9-99.2%). Supervised prediction using 'leave-one-out' cross validation algorithms for tumour spectra correctly classified 10/13 poorly differentiated and 16/18 well/moderately differentiated tumours (P = < 0.001; receiver-operator characteristics - ROC - error, 0.171); disease recurrence was correctly predicted in 5/6 cases and disease-free survival (median follow-up time, 25 months) was correctly predicted in 22

  16. Epitaxy of an Al-Droplet-Free AlN Layer with Step-Flow Features by Molecular Beam Epitaxy

    International Nuclear Information System (INIS)

    We investigate epitaxy of AlN layers on sapphire substrates by molecular beam epitaxy. It is found that an atomically flat surface can be obtained under Al-rich conditions at growth temperature of 780°C. However, the growth window to obtain an Al-droplet-free surface is too narrow to be well-controlled. However, the growth window can be greatly broadened by increasing the growth temperature up to 950°C, where an Al-droplet-free surface with a step-flow feature is obtained due to the enhanced re-evaporization rate and migration ability of Al adatoms. The samples grown at the higher temperature also show a higher crystalline quality than those grown at lower temperatures. (cross-disciplinary physics and related areas of science and technology)

  17. Unsupervised Skin cancer detection by combination of texture and shape features in dermoscopy images

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    Hamed aghapanah rudsari

    2014-05-01

    Full Text Available In this paper a novel unsupervised feature extraction method for detection of melanoma in skin images is presented. First of all, normal skin surrounding the lesion is removed in a segmentation process. In the next step, some shape and texture features are extracted from the output image of the first step: GLCM, GLRLM, the proposed directional-frequency features, and some parameters of Ripplet transform are used as texture features; Also, NRL features and Zernike moments are used as shape features. Totally, 63 texture features and 31 shape features are extracted. Finally, the number of extracted features is reduced using PCA method and a proposed method based on Fisher criteria. Extracted features are classified using the Perceptron Neural Networks, Support Vector Machine, 4-NN, and Naïve Bayes. The results show that SVM has the best performance. The proposed algorithm is applied on a database that consists of 160 labeled images. The overall results confirm the superiority of the proposed method in both accuracy and reliability over previous works.

  18. Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?

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    Fave, Xenia, E-mail: xjfave@mdanderson.org; Fried, David [Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030 and The University of Texas Graduate School of Biomedical Sciences at Houston, 6767 Bertner Avenue, Houston, Texas 77030 (United States); Mackin, Dennis; Yang, Jinzhong; Zhang, Joy; Balter, Peter; Followill, David [Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030 (United States); Gomez, Daniel [Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030 (United States); Kyle Jones, A. [Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030 (United States); Stingo, Francesco [Department of Biostatistics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030 (United States); Fontenot, Jonas [Mary Bird Perkins Cancer Center, 4950 Essen Lane, Baton Rouge, Louisiana 70809 (United States); Court, Laurence [Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030 and Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, Texas 77030 (United States)

    2015-12-15

    Purpose: Increasing evidence suggests radiomics features extracted from computed tomography (CT) images may be useful in prognostic models for patients with nonsmall cell lung cancer (NSCLC). This study was designed to determine whether such features can be reproducibly obtained from cone-beam CT (CBCT) images taken using medical Linac onboard-imaging systems in order to track them through treatment. Methods: Test-retest CBCT images of ten patients previously enrolled in a clinical trial were retrospectively obtained and used to determine the concordance correlation coefficient (CCC) for 68 different texture features. The volume dependence of each feature was also measured using the Spearman rank correlation coefficient. Features with a high reproducibility (CCC > 0.9) that were not due to volume dependence in the patient test-retest set were further examined for their sensitivity to differences in imaging protocol, level of scatter, and amount of motion by using two phantoms. The first phantom was a texture phantom composed of rectangular cartridges to represent different textures. Features were measured from two cartridges, shredded rubber and dense cork, in this study. The texture phantom was scanned with 19 different CBCT imagers to establish the features’ interscanner variability. The effect of scatter on these features was studied by surrounding the same texture phantom with scattering material (rice and solid water). The effect of respiratory motion on these features was studied using a dynamic-motion thoracic phantom and a specially designed tumor texture insert of the shredded rubber material. The differences between scans acquired with different Linacs and protocols, varying amounts of scatter, and with different levels of motion were compared to the mean intrapatient difference from the test-retest image set. Results: Of the original 68 features, 37 had a CCC >0.9 that was not due to volume dependence. When the Linac manufacturer and imaging protocol

  19. Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?

    International Nuclear Information System (INIS)

    Purpose: Increasing evidence suggests radiomics features extracted from computed tomography (CT) images may be useful in prognostic models for patients with nonsmall cell lung cancer (NSCLC). This study was designed to determine whether such features can be reproducibly obtained from cone-beam CT (CBCT) images taken using medical Linac onboard-imaging systems in order to track them through treatment. Methods: Test-retest CBCT images of ten patients previously enrolled in a clinical trial were retrospectively obtained and used to determine the concordance correlation coefficient (CCC) for 68 different texture features. The volume dependence of each feature was also measured using the Spearman rank correlation coefficient. Features with a high reproducibility (CCC > 0.9) that were not due to volume dependence in the patient test-retest set were further examined for their sensitivity to differences in imaging protocol, level of scatter, and amount of motion by using two phantoms. The first phantom was a texture phantom composed of rectangular cartridges to represent different textures. Features were measured from two cartridges, shredded rubber and dense cork, in this study. The texture phantom was scanned with 19 different CBCT imagers to establish the features’ interscanner variability. The effect of scatter on these features was studied by surrounding the same texture phantom with scattering material (rice and solid water). The effect of respiratory motion on these features was studied using a dynamic-motion thoracic phantom and a specially designed tumor texture insert of the shredded rubber material. The differences between scans acquired with different Linacs and protocols, varying amounts of scatter, and with different levels of motion were compared to the mean intrapatient difference from the test-retest image set. Results: Of the original 68 features, 37 had a CCC >0.9 that was not due to volume dependence. When the Linac manufacturer and imaging protocol

  20. Relationship Between Blood Fibrinogen Concentration and Pathological Features of Cancer Patients: A 139-case Clinical Study

    Directory of Open Access Journals (Sweden)

    Da-Yong Lu

    2007-01-01

    Full Text Available Angiogenesis and coagulation are among the most consistent host responses to the presence of a malignant tissue. Pathological angiogenesis and coagulation are often occurred in patients with solid tumors, especially in the occurrence of neoplasm metastasis and as targets for anti-metastatic drugs such as antiangiogenesis agents, coagulation-mediated agents and anticancer drugs. Since fibrinogen (Fib is the most abundant and key haemostatic protein taking part in angiogenesis and coagulation, its biological and pathophysiological roles in cancer patients are intriguing. To continue foundational and translational research on Fib-related cancer pathogenesis, a phase II survey of 139 patients was carried out at the Central Hospital of Jing-An district and Shanghai University, Shanghai, China. The mean BFC of the cancer patients in this survey was overall about 35-50% greater than that in the normal population. This study showed that the mean BFC was higher in patients with long-distance metastases (N1M1 patients than in patients with no sign of long-distance metastases (N0M0 patients. Mean BFCs were 4.42 g/L (n= 21 in patients with lung cancer, 4.36 g/L, and in patients with hepatic cancer (n=5, and 4.63 g/L in patients with stomach cancer (n=8, all higher than the average value of the cancer patients overall (4.16 g/L. However, patients with bowel and colon cancers 3.79 g/L (n=16 showed lower than them. BFC levels increased with increasing cancer duration (latency > 1 year. There was a slight decrease in BFC after one or two treatment cycles, but a more marked decrease after surgery. We propose that the BFC level in cancer patients may be influenced by and related to many aspects of cancer progression such as metastatic conditions, tumor origins, patient’s pathological stage and disease latency. As an important first-hand pathologic-therapeutics relationship study, it provides evidence for the potentiality of a new approach of Fib-targeted as