WorldWideScience

Sample records for cancer classification issues

  1. EPA`s program for risk assessment guidelines: Cancer classification issues

    Energy Technology Data Exchange (ETDEWEB)

    Wiltse, J. [Environmental Protection Agency, Washington, DC (United States)

    1990-12-31

    Issues presented are related to classification of weight of evidence in cancer risk assessments. The focus in this paper is on lines of evidence used in constructing a conclusion about potential human carcinogenicity. The paper also discusses issues that are mistakenly addressed as classification issues but are really part of the risk assessment process. 2 figs.

  2. Proteomic classification of breast cancer.

    LENUS (Irish Health Repository)

    Kamel, Dalia

    2012-11-01

    Being a significant health problem that affects patients in various age groups, breast cancer has been extensively studied to date. Recently, molecular breast cancer classification has advanced significantly with the availability of genomic profiling technologies. Proteomic technologies have also advanced from traditional protein assays including enzyme-linked immunosorbent assay, immunoblotting and immunohistochemistry to more comprehensive approaches including mass spectrometry and reverse phase protein lysate arrays (RPPA). The purpose of this manuscript is to review the current protein markers that influence breast cancer prediction and prognosis and to focus on novel advances in proteomic classification of breast cancer.

  3. Breast cancer. Selected legal issues.

    Science.gov (United States)

    Wynstra, N A

    1994-07-01

    Several legal and ethical issues may arise during the course of screening for and diagnosis and treatment of breast cancer. Among the most active legal areas are reimbursement for therapies deemed experimental by certain insurance companies, such as high dose chemotherapy/autologous bone marrow transplantation (HDCT/ABMT) and off-label drug use; these reimbursement issues are discussed. Legal issues in mammography screening and insurance coverage and legal issues relative to informed consent in breast cancer treatment also are discussed. PMID:8004625

  4. Molecular classification of gastric cancer.

    Science.gov (United States)

    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

  5. Educational Issues in Childhood Cancer.

    Science.gov (United States)

    Armstrong, Daniel F.; Horn, Marianna

    1995-01-01

    Describes school issues for children with cancer. Presents the relationship between school performance and both the acute and long-term consequences of the type of cancer, radiation therapy, and chemotherapy. Reviews the results of the studies of the cognitive and academic effects of cranial radiation and chemotherapy, and a developmental model…

  6. AN APPROACH FOR BREAST CANCER DIAGNOSIS CLASSIFICATION USING NEURAL NETWORK

    Directory of Open Access Journals (Sweden)

    Htet Thazin Tike Thein

    2015-01-01

    Full Text Available Artificial neural network has been widely used in various fields as an intelligent tool in recent years, such as artificial intelligence, pattern recognition, medical diagnosis, machine learning and so on. The classification of breast cancer is a medical application that poses a great challenge for researchers and scientists. Recently, the neural network has become a popular tool in the classification of cancer datasets. Classification is one of the most active research and application areas of neural networks. Major disadvantages of artificial neural network (ANN classifier are due to its sluggish convergence and always being trapped at the local minima. To overcome this problem, differential evolution algorithm (DE has been used to determine optimal value or near optimal value for ANN parameters. DE has been applied successfully to improve ANN learning from previous studies. However, there are still some issues on DE approach such as longer training time and lower classification accuracy. To overcome these problems, island based model has been proposed in this system. The aim of our study is to propose an approach for breast cancer distinguishing between different classes of breast cancer. This approach is based on the Wisconsin Diagnostic and Prognostic Breast Cancer and the classification of different types of breast cancer datasets. The proposed system implements the island-based training method to be better accuracy and less training time by using and analysing between two different migration topologies.

  7. Reproducibility of histologic classification of gastric cancer.

    OpenAIRE

    Palli, D; Bianchi, S.; Cipriani, F; Duca, P; Amorosi, A; C. Avellini; A. Russo; Saragoni, A; P. Todde; Valdes, E.

    1991-01-01

    A panel review of histologic specimens was carried out as part of a multi-centre case-control study of gastric cancer (GC) and diet. Comparisons of diagnoses of 100 GCs by six pathologists revealed agreement in histologic classification for about 70-80% of the cancers. Concordance was somewhat higher when using the Lauren rather than the Ming or World Health Organization classification systems. Histologic types from reading biopsy tissue agreed with those derived from surgical specimens for 6...

  8. At last: classification of human mammary cells elucidates breast cancer origins

    OpenAIRE

    Robert D Cardiff; Alexander D Borowsky

    2014-01-01

    Current breast cancer classification systems are based on molecular evaluation of tumor receptor status and do not account for distinct morphological phenotypes. In other types of cancer, taxonomy based on normal cell phenotypes has been extremely useful for diagnosis and treatment strategies. In this issue of the JCI, Santagata and colleagues developed a breast cancer classification scheme based on characterization of healthy mammary cells. Reclassification of breast cancer cells and breast ...

  9. Image Similarity to Improve the Classification of Breast Cancer Images

    OpenAIRE

    Dave Tahmoush

    2009-01-01

    Techniques in image similarity can be used to improve the classification of breast cancer images. Breast cancer images in the mammogram modality have an abundance of non-cancerous structures that are similar to cancer, which make classification of images as containing cancer especially difficult to work with. Only the cancerous part of the image is relevant, so the techniques must learn to recognize cancer in noisy mammograms and extract features from that cancer to appropriately classify ima...

  10. Reproducibility of histologic classification of gastric cancer.

    Science.gov (United States)

    Palli, D.; Bianchi, S.; Cipriani, F.; Duca, P.; Amorosi, A.; Avellini, C.; Russo, A.; Saragoni, A.; Todde, P.; Valdes, E.

    1991-01-01

    A panel review of histologic specimens was carried out as part of a multi-centre case-control study of gastric cancer (GC) and diet. Comparisons of diagnoses of 100 GCs by six pathologists revealed agreement in histologic classification for about 70-80% of the cancers. Concordance was somewhat higher when using the Lauren rather than the Ming or World Health Organization classification systems. Histologic types from reading biopsy tissue agreed with those derived from surgical specimens for 65-75% of the 100 tumours. Intra-observer agreement in histologic classification, assessed by repeat readings up to 3 years apart by one pathologist, was 95%. The findings indicate that, although overall concordance was good, it is important to standardise diagnoses in multi-centre epidemiologic studies of GC by histologic type. PMID:2039701

  11. Pathway-based classification of cancer subtypes

    Directory of Open Access Journals (Sweden)

    Kim Shinuk

    2012-07-01

    Full Text Available Abstract Background Molecular markers based on gene expression profiles have been used in experimental and clinical settings to distinguish cancerous tumors in stage, grade, survival time, metastasis, and drug sensitivity. However, most significant gene markers are unstable (not reproducible among data sets. We introduce a standardized method for representing cancer markers as 2-level hierarchical feature vectors, with a basic gene level as well as a second level of (more stable pathway markers, for the purpose of discriminating cancer subtypes. This extends standard gene expression arrays with new pathway-level activation features obtained directly from off-the-shelf gene set enrichment algorithms such as GSEA. Such so-called pathway-based expression arrays are significantly more reproducible across datasets. Such reproducibility will be important for clinical usefulness of genomic markers, and augment currently accepted cancer classification protocols. Results The present method produced more stable (reproducible pathway-based markers for discriminating breast cancer metastasis and ovarian cancer survival time. Between two datasets for breast cancer metastasis, the intersection of standard significant gene biomarkers totaled 7.47% of selected genes, compared to 17.65% using pathway-based markers; the corresponding percentages for ovarian cancer datasets were 20.65% and 33.33% respectively. Three pathways, consisting of Type_1_diabetes mellitus, Cytokine-cytokine_receptor_interaction and Hedgehog_signaling (all previously implicated in cancer, are enriched in both the ovarian long survival and breast non-metastasis groups. In addition, integrating pathway and gene information, we identified five (ID4, ANXA4, CXCL9, MYLK, FBXL7 and six (SQLE, E2F1, PTTG1, TSTA3, BUB1B, MAD2L1 known cancer genes significant for ovarian and breast cancer respectively. Conclusions Standardizing the analysis of genomic data in the process of cancer staging

  12. Definition and classification of drug addiction and drug misuse issues

    Directory of Open Access Journals (Sweden)

    Radulović Dragan

    2003-01-01

    Full Text Available In the paper author points out conceptual and terminological inconsistency of drug vocabulary and influence of value and moralistic elements. Most illustrative example for this represents term narcomany, which is still widely used by domestic authors to refer to drug use, in spite of its obvious insufficiency and impreciseness. Similar case is with terms toxicomany, habituation and addiction. Drug classification issue has been also analyzed in totality of viewing of drug use as a social and individual phenomenon. Author emphasizes that optimal strategy of drug control have to aim to differentiated approach to specific drugs, but also points out to unjustified referring to any drug as "soft" or harmless.

  13. Nominated Texture Based Cervical Cancer Classification

    Directory of Open Access Journals (Sweden)

    Edwin Jayasingh Mariarputham

    2015-01-01

    Full Text Available Accurate classification of Pap smear images becomes the challenging task in medical image processing. This can be improved in two ways. One way is by selecting suitable well defined specific features and the other is by selecting the best classifier. This paper presents a nominated texture based cervical cancer (NTCC classification system which classifies the Pap smear images into any one of the seven classes. This can be achieved by extracting well defined texture features and selecting best classifier. Seven sets of texture features (24 features are extracted which include relative size of nucleus and cytoplasm, dynamic range and first four moments of intensities of nucleus and cytoplasm, relative displacement of nucleus within the cytoplasm, gray level cooccurrence matrix, local binary pattern histogram, tamura features, and edge orientation histogram. Few types of support vector machine (SVM and neural network (NN classifiers are used for the classification. The performance of the NTCC algorithm is tested and compared to other algorithms on public image database of Herlev University Hospital, Denmark, with 917 Pap smear images. The output of SVM is found to be best for the most of the classes and better results for the remaining classes.

  14. Registration and classification of adolescent and young adult cancer cases.

    Science.gov (United States)

    Pollock, Brad H; Birch, Jillian M

    2008-05-01

    Cancer registries are an important research resource that facilitate the study of etiology, tumor biology, patterns of delayed diagnosis and health planning needs. When outcome data are included, registries can track secular changes in survival related to improvements in early detection or treatment. The surveillance, epidemiology, and end results (SEER) registry has been used to identify major gaps in survival for older adolescent and young adult (AYA) patients compared with younger children and older adults. In order to determine the reasons for this gap, the complete registration and accurate classification of AYA malignancies is necessary. There are inconsistencies in defining the age limits for AYAs although the Adolescent and Young Adult Oncology Progress Review Group proposed a definition of ages 15 through 39 years. The central registration and classification issues for AYAs are case-finding, defining common data elements (CDE) collected across different registries and the diagnostic classification of these malignancies. Goals to achieve by 2010 include extending and validating current diagnostic classification schemes and expanding the CDE to support AYA oncology research, including the collection of tracking information to assess long-term outcomes. These efforts will advance preventive, etiologic, therapeutic, and health services-related research for this understudied age group.

  15. 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 ...

  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. A refined molecular taxonomy of breast cancer. : molecular classification of breast cancer

    OpenAIRE

    Guedj, Michael; Marisa, Laëtitia; De Reynies, Aurélien; Orsetti, Béatrice; Schiappa, Renaud; Bibeau, Frédéric; MacGrogan, Gaëtan; Lerebours, Florence; Finetti, Pascal; Longy, Michel; Bertheau, Philippe; Bertrand, Françoise; Bonnet, Françoise; Martin, Anne-Laure; Feugeas, Jean-Paul

    2012-01-01

    International audience; The current histoclinical breast cancer classification is simple but imprecise. Several molecular classifications of breast cancers based on expression profiling have been proposed as alternatives. However, their reliability and clinical utility have been repeatedly questioned, notably because most of them were derived from relatively small initial patient populations. We analyzed the transcriptomes of 537 breast tumors using three unsupervised classification methods. ...

  18. SOMOTE_EASY: AN ALGORITHM TO TREAT THE CLASSIFICATION ISSUE IN REAL DATABASES

    Directory of Open Access Journals (Sweden)

    Hugo Leonardo Pereira Rufino

    2016-04-01

    Full Text Available Most classification tools assume that data distribution be balanced or with similar costs, when not properly classified. Nevertheless, in practical terms, the existence of database where unbalanced classes occur is commonplace, such as in the diagnosis of diseases, in which the confirmed cases are usually rare when compared with a healthy population. Other examples are the detection of fraudulent calls and the detection of system intruders. In these cases, the improper classification of a minority class (for instance, to diagnose a person with cancer as healthy may result in more serious consequences that incorrectly classify a majority class. Therefore, it is important to treat the database where unbalanced classes occur. This paper presents the SMOTE_Easy algorithm, which can classify data, even if there is a high level of unbalancing between different classes. In order to prove its efficiency, a comparison with the main algorithms to treat classification issues was made, where unbalanced data exist. This process was successful in nearly all tested databases

  19. Sparse discriminant analysis for breast cancer biomarker identification and classification

    Institute of Scientific and Technical Information of China (English)

    Yu Shi; Daoqing Dai; Chaochun Liu; Hong Yan

    2009-01-01

    Biomarker identification and cancer classification are two important procedures in microarray data analysis. We propose a novel uni-fied method to carry out both tasks. We first preselect biomarker candidates by eliminating unrelated genes through the BSS/WSS ratio filter to reduce computational cost, and then use a sparse discriminant analysis method for simultaneous biomarker identification and cancer classification. Moreover, we give a mathematical justification about automatic biomarker identification. Experimental results show that the proposed method can identify key genes that have been verified in biochemical or biomedical research and classify the breast cancer type correctly.

  20. Magnetic resonance imaging texture analysis classification of primary breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Waugh, S.A.; Lerski, R.A. [Ninewells Hospital and Medical School, Department of Medical Physics, Dundee (United Kingdom); Purdie, C.A.; Jordan, L.B. [Ninewells Hospital and Medical School, Department of Pathology, Dundee (United Kingdom); Vinnicombe, S. [University of Dundee, Division of Imaging and Technology, Ninewells Hospital and Medical School, Dundee (United Kingdom); Martin, P. [Ninewells Hospital and Medical School, Department of Clinical Radiology, Dundee (United Kingdom); Thompson, A.M. [University of Texas MD Anderson Cancer Center, Department of Surgical Oncology, Houston, TX (United States)

    2016-02-15

    Patient-tailored treatments for breast cancer are based on histological and immunohistochemical (IHC) subtypes. Magnetic Resonance Imaging (MRI) texture analysis (TA) may be useful in non-invasive lesion subtype classification. Women with newly diagnosed primary breast cancer underwent pre-treatment dynamic contrast-enhanced breast MRI. TA was performed using co-occurrence matrix (COM) features, by creating a model on retrospective training data, then prospectively applying to a test set. Analyses were blinded to breast pathology. Subtype classifications were performed using a cross-validated k-nearest-neighbour (k = 3) technique, with accuracy relative to pathology assessed and receiver operator curve (AUROC) calculated. Mann-Whitney U and Kruskal-Wallis tests were used to assess raw entropy feature values. Histological subtype classifications were similar across training (n = 148 cancers) and test sets (n = 73 lesions) using all COM features (training: 75 %, AUROC = 0.816; test: 72.5 %, AUROC = 0.823). Entropy features were significantly different between lobular and ductal cancers (p < 0.001; Mann-Whitney U). IHC classifications using COM features were also similar for training and test data (training: 57.2 %, AUROC = 0.754; test: 57.0 %, AUROC = 0.750). Hormone receptor positive and negative cancers demonstrated significantly different entropy features. Entropy features alone were unable to create a robust classification model. Textural differences on contrast-enhanced MR images may reflect underlying lesion subtypes, which merits testing against treatment response. (orig.)

  1. Multi-Organ Cancer Classification and Survival Analysis

    OpenAIRE

    Bauer, Stefan; Carion, Nicolas; Schüffler, Peter; Fuchs, Thomas; Wild, Peter; Buhmann, Joachim M.

    2016-01-01

    Accurate and robust cell nuclei classification is the cornerstone for a wider range of tasks in digital and Computational Pathology. However, most machine learning systems require extensive labeling from expert pathologists for each individual problem at hand, with no or limited abilities for knowledge transfer between datasets and organ sites. In this paper we implement and evaluate a variety of deep neural network models and model ensembles for nuclei classification in renal cell cancer (RC...

  2. Classification of oral cancers using Raman spectroscopy of serum

    Science.gov (United States)

    Sahu, Aditi; Talathi, Sneha; Sawant, Sharada; Krishna, C. Murali

    2014-03-01

    Oral cancers are the sixth most common malignancy worldwide, with low 5-year disease free survival rates, attributable to late detection due to lack of reliable screening modalities. Our in vivo Raman spectroscopy studies have demonstrated classification of normal and tumor as well as cancer field effects (CFE), the earliest events in oral cancers. In view of limitations such as requirement of on-site instrumentation and stringent experimental conditions of this approach, feasibility of classification of normal and cancer using serum was explored using 532 nm excitation. In this study, strong resonance features of β-carotenes, present differentially in normal and pathological conditions, were observed. In the present study, Raman spectra of sera of 36 buccal mucosa, 33 tongue cancers and 17 healthy subjects were recorded using Raman microprobe coupled with 40X objective using 785 nm excitation, a known source of excitation for biomedical applications. To eliminate heterogeneity, average of 3 spectra recorded from each sample was subjected to PC-LDA followed by leave-one-out-cross-validation. Findings indicate average classification efficiency of ~70% for normal and cancer. Buccal mucosa and tongue cancer serum could also be classified with an efficiency of ~68%. Of the two cancers, buccal mucosa cancer and normal could be classified with a higher efficiency. Findings of the study are quite comparable to that of our earlier study, which suggest that there exist significant differences, other than β- carotenes, between normal and cancerous samples which can be exploited for the classification. Prospectively, extensive validation studies will be undertaken to confirm the findings.

  3. Cancer classification based on gene expression using neural networks.

    Science.gov (United States)

    Hu, H P; Niu, Z J; Bai, Y P; Tan, X H

    2015-12-21

    Based on gene expression, we have classified 53 colon cancer patients with UICC II into two groups: relapse and no relapse. Samples were taken from each patient, and gene information was extracted. Of the 53 samples examined, 500 genes were considered proper through analyses by S-Kohonen, BP, and SVM neural networks. Classification accuracy obtained by S-Kohonen neural network reaches 91%, which was more accurate than classification by BP and SVM neural networks. The results show that S-Kohonen neural network is more plausible for classification and has a certain feasibility and validity as compared with BP and SVM neural networks.

  4. Classification System for English Language Learners: Issues and Recommendations

    Science.gov (United States)

    Abedi, Jamal

    2008-01-01

    High-stakes decisions for the instruction and assessment of English language learner (ELL) students are made based on the premise that ELL classification is a valid dichotomy that distinguishes between those who are proficient in the use of the English language and those who are not. However, recent research findings draw a vague picture of the…

  5. 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.

  6. Cancer classification using the Immunoscore: a worldwide task force.

    Science.gov (United States)

    Galon, Jérôme; Pagès, Franck; Marincola, Francesco M; Angell, Helen K; Thurin, Magdalena; Lugli, Alessandro; Zlobec, Inti; Berger, Anne; Bifulco, Carlo; Botti, Gerardo; Tatangelo, Fabiana; Britten, Cedrik M; Kreiter, Sebastian; Chouchane, Lotfi; Delrio, Paolo; Arndt, Hartmann; Asslaber, Martin; Maio, Michele; Masucci, Giuseppe V; Mihm, Martin; Vidal-Vanaclocha, Fernando; Allison, James P; Gnjatic, Sacha; Hakansson, Leif; Huber, Christoph; Singh-Jasuja, Harpreet; Ottensmeier, Christian; Zwierzina, Heinz; Laghi, Luigi; Grizzi, Fabio; Ohashi, Pamela S; Shaw, Patricia A; Clarke, Blaise A; Wouters, Bradly G; Kawakami, Yutaka; Hazama, Shoichi; Okuno, Kiyotaka; Wang, Ena; O'Donnell-Tormey, Jill; Lagorce, Christine; Pawelec, Graham; Nishimura, Michael I; Hawkins, Robert; Lapointe, Réjean; Lundqvist, Andreas; Khleif, Samir N; Ogino, Shuji; Gibbs, Peter; Waring, Paul; Sato, Noriyuki; Torigoe, Toshihiko; Itoh, Kyogo; Patel, Prabhu S; Shukla, Shilin N; Palmqvist, Richard; Nagtegaal, Iris D; Wang, Yili; D'Arrigo, Corrado; Kopetz, Scott; Sinicrope, Frank A; Trinchieri, Giorgio; Gajewski, Thomas F; Ascierto, Paolo A; Fox, Bernard A

    2012-10-03

    Prediction of clinical outcome in cancer is usually achieved by histopathological evaluation of tissue samples obtained during surgical resection of the primary tumor. Traditional tumor staging (AJCC/UICC-TNM classification) summarizes data on tumor burden (T), presence of cancer cells in draining and regional lymph nodes (N) and evidence for metastases (M). However, it is now recognized that clinical outcome can significantly vary among patients within the same stage. The current classification provides limited prognostic information, and does not predict response to therapy. Recent literature has alluded to the importance of the host immune system in controlling tumor progression. Thus, evidence supports the notion to include immunological biomarkers, implemented as a tool for the prediction of prognosis and response to therapy. Accumulating data, collected from large cohorts of human cancers, has demonstrated the impact of immune-classification, which has a prognostic value that may add to the significance of the AJCC/UICC TNM-classification. It is therefore imperative to begin to incorporate the 'Immunoscore' into traditional classification, thus providing an essential prognostic and potentially predictive tool. Introduction of this parameter as a biomarker to classify cancers, as part of routine diagnostic and prognostic assessment of tumors, will facilitate clinical decision-making including rational stratification of patient treatment. Equally, the inherent complexity of quantitative immunohistochemistry, in conjunction with protocol variation across laboratories, analysis of different immune cell types, inconsistent region selection criteria, and variable ways to quantify immune infiltration, all underline the urgent requirement to reach assay harmonization. In an effort to promote the Immunoscore in routine clinical settings, an international task force was initiated. This review represents a follow-up of the announcement of this initiative, and of the J

  7. Weakly supervised histopathology cancer image segmentation and classification.

    Science.gov (United States)

    Xu, Yan; Zhu, Jun-Yan; Chang, Eric I-Chao; Lai, Maode; Tu, Zhuowen

    2014-04-01

    Labeling a histopathology image as having cancerous regions or not is a critical task in cancer diagnosis; it is also clinically important to segment the cancer tissues and cluster them into various classes. Existing supervised approaches for image classification and segmentation require detailed manual annotations for the cancer pixels, which are time-consuming to obtain. In this paper, we propose a new learning method, multiple clustered instance learning (MCIL) (along the line of weakly supervised learning) for histopathology image segmentation. The proposed MCIL method simultaneously performs image-level classification (cancer vs. non-cancer image), medical image segmentation (cancer vs. non-cancer tissue), and patch-level clustering (different classes). We embed the clustering concept into the multiple instance learning (MIL) setting and derive a principled solution to performing the above three tasks in an integrated framework. In addition, we introduce contextual constraints as a prior for MCIL, which further reduces the ambiguity in MIL. Experimental results on histopathology colon cancer images and cytology images demonstrate the great advantage of MCIL over the competing methods.

  8. Classification of neuropathic pain in cancer patients

    DEFF Research Database (Denmark)

    Brunelli, Cinzia; Bennett, Michael I; Kaasa, Stein;

    2014-01-01

    Neuropathic pain (NP) in cancer patients lacks standards for diagnosis. This study is aimed at reaching consensus on the application of the International Association for the Study of Pain (IASP) special interest group for neuropathic pain (NeuPSIG) criteria to the diagnosis of NP in cancer patients...... was found on the statement "the pathophysiology of NP due to cancer can be different from non-cancer NP" (MED=9, IQR=2). Satisfactory consensus was reached for the first 3 NeuPSIG criteria (pain distribution, history, and sensory findings; MEDs⩾8, IQRs⩽3), but not for the fourth one (diagnostic test....../imaging; MED=6, IQR=3). Agreement was also reached on clinical examination by soft brush or pin stimulation (MEDs⩾7 and IQRs⩽3) and on the use of PRO descriptors for NP screening (MED=8, IQR=3). Based on the study results, a clinical algorithm for NP diagnostic criteria in cancer patients with pain...

  9. Classification of treatment-related mortality in children with cancer

    DEFF Research Database (Denmark)

    Alexander, Sarah; Pole, Jason D; Gibson, Paul;

    2015-01-01

    Treatment-related mortality is an important outcome in paediatric cancer clinical trials. An international group of experts in supportive care in paediatric cancer developed a consensus-based definition of treatment-related mortality and a cause-of-death attribution system. The reliability...... and validity of the system was tested in 30 deaths, which were independently assessed by two clinical research associates and two paediatric oncologists. We defined treatment-related mortality as death occurring in the absence of progressive cancer. Of the 30 reviewed deaths, the reliability of classification...

  10. Gender and cultural issues in psychiatric nosological classification systems.

    Science.gov (United States)

    van de Water, Tanya; Suliman, Sharain; Seedat, Soraya

    2016-08-01

    Much has changed since the two dominant mental health nosological systems, the International Classification of Diseases (ICD) and the Diagnostic and Statistical Manual of Mental Disorders (DSM), were first published in 1900 and 1952, respectively. Despite numerous modifications to stay up to date with scientific and cultural changes (eg, exclusion of homosexuality as a disorder) and to improve the cultural sensitivity of psychiatric diagnoses, the ICD and DSM have only recently renewed attempts at harmonization. Previous nosological iterations demonstrate the oscillation in the importance placed on the biological focus, highlighting the tension between a gender- and culture-free nosology (solely biological) and a contextually relevant understanding of mental illness. In light of the release of the DSM 5, future nosological systems, such as the ICD 11, scheduled for release in 2017, and the Research Development Criteria (RDoC), can learn from history and apply critiques. This article aims to critically consider gender and culture in previous editions of the ICD and DSM to inform forthcoming classifications. PMID:27133577

  11. Sentiment Classification of Social Issues Using Contextual Valence Shifters

    Directory of Open Access Journals (Sweden)

    Prakash Kumar Singh

    2015-08-01

    Full Text Available The growth of science and technology contributes in the growth of social website and electronic media at vast scale. Due to development in field of information technology, all information about anything is globally available on internet, which is great source of data and information. Data or data sets available on internet in unstructured form. To analysis the unstructured data, we need method which convert it into structured data then analyze those data. NLP, Linguistic Computation and text mining are used to analyze/extract the opinion of people from given source data (comments, blogs, feedback and reviews. Sentiment analysis is emerged as the text analysis method, which extracts the opinion from comments, feedbacks and reviews. Sentiment Classification techniques are widely used for sentiment classification of reviews and feedbacks of customers and viewers on movie, product and services. The given feedbacks and reviews are classified into two class- positive and negative class. This paper focuses on study of negative sentences, identification of those negative sentences and calculation of sentiment score of negative sentences.

  12. Nutrition and cancer: issues related to treatment and survivorship.

    Science.gov (United States)

    Witham, Gary

    2013-10-01

    This paper reviews nutritional issues related to cancer treatment and further explores nutritional needs pertinent to cancer survivorship. It examines the major problems with nutrition when patients undergo the main cancer treatment modalities of chemotherapy, radiotherapy and surgery. Particular attention is paid to long-term dietary advice in acknowledgement of the improved effectiveness of cancer treatment and the chronic nature of the condition.

  13. Regularized logistic regression with adjusted adaptive elastic net for gene selection in high dimensional cancer classification.

    Science.gov (United States)

    Algamal, Zakariya Yahya; Lee, Muhammad Hisyam

    2015-12-01

    Cancer classification and gene selection in high-dimensional data have been popular research topics in genetics and molecular biology. Recently, adaptive regularized logistic regression using the elastic net regularization, which is called the adaptive elastic net, has been successfully applied in high-dimensional cancer classification to tackle both estimating the gene coefficients and performing gene selection simultaneously. The adaptive elastic net originally used elastic net estimates as the initial weight, however, using this weight may not be preferable for certain reasons: First, the elastic net estimator is biased in selecting genes. Second, it does not perform well when the pairwise correlations between variables are not high. Adjusted adaptive regularized logistic regression (AAElastic) is proposed to address these issues and encourage grouping effects simultaneously. The real data results indicate that AAElastic is significantly consistent in selecting genes compared to the other three competitor regularization methods. Additionally, the classification performance of AAElastic is comparable to the adaptive elastic net and better than other regularization methods. Thus, we can conclude that AAElastic is a reliable adaptive regularized logistic regression method in the field of high-dimensional cancer classification.

  14. 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.

  15. Clinicopathological classification and individualized treatment of breast cancer

    Institute of Scientific and Technical Information of China (English)

    HU Hui; LIU Yin-hua; XU Ling; ZHAO Jian-xin; DUAN Xue-ning; YE Jing-ming; LI Ting

    2013-01-01

    Background The clinicopathological classification was proposed in the St.Gallen Consensus Report 2011.We conducted a retrospective analysis of breast cancer subtypes,tumor-nodal-metastatic (TNM) staging,and histopathological grade to investigate the value of these parameters in the treatment strategies of invasive breast cancer.Methods A retrospective analysis of breast cancer subtypes,TNM staging,and histopathological grading of 213 cases has been performed by the methods recommended in the St.Gallen International Expert Consensus Report 2011.The estrogen receptor (ER),progesterone receptor (PR),human epidermal growth factor receptor-2 (HER2),and Ki-67 of 213 tumor samples have been investigated by immunohistochemistry according to methods for classifying breast cancer subtypes proposed in the St.Gallen Consensus Report 2011.Results The luminal A subtype was found in 53 patients (24.9%),the luminal B subtype was found in 112 patients (52.6%),the HER2-positive subtype was found in 22 patients (10.3%),and the triple-negative subtype was found in 26 patients (12%).Histopathological grade and TNM staging differed significantly among the four subtypes of breast cancer (P<0.001).Conclusion It is important to consider TNM staging and histopathological grading in the treatment strategies of breast cancer based on the current clinicopathological classification methods.

  16. The classification and staging of cancerous growths of the anal canal

    International Nuclear Information System (INIS)

    In this chapter authors give information about frequency of cancerous growths of the anal canal, general analysis of observations the classification and staging of cancerous growths of the anal canal, clinical-anatomy classification of cancerous growths of the anal canal and staging of cancerous growths of anal canal

  17. Current Issues in the Classification of Psychotic Major Depression

    Science.gov (United States)

    Keller, Jennifer; Schatzberg, Alan F.; Maj, Mario

    2007-01-01

    Depression is one of the most common mental disorders worldwide. There are a number of depression subtypes, and there has been much debate about how to most accurately capture and organize the features and subtypes of major depression. We review the current state of categorizing unipolar major depression with psychotic features (psychotic major depression, PMD), including clinical, biological, and treatment aspects of the disorder. We then propose some improvements to the current unipolar major depression categorization system. Finally, we identify important issues in need of further research to help elucidate the subtype of unipolar PMD. PMID:17548842

  18. Cancer classification using the Immunoscore: a worldwide task force

    Directory of Open Access Journals (Sweden)

    Galon Jérôme

    2012-10-01

    Full Text Available Abstract Prediction of clinical outcome in cancer is usually achieved by histopathological evaluation of tissue samples obtained during surgical resection of the primary tumor. Traditional tumor staging (AJCC/UICC-TNM classification summarizes data on tumor burden (T, presence of cancer cells in draining and regional lymph nodes (N and evidence for metastases (M. However, it is now recognized that clinical outcome can significantly vary among patients within the same stage. The current classification provides limited prognostic information, and does not predict response to therapy. Recent literature has alluded to the importance of the host immune system in controlling tumor progression. Thus, evidence supports the notion to include immunological biomarkers, implemented as a tool for the prediction of prognosis and response to therapy. Accumulating data, collected from large cohorts of human cancers, has demonstrated the impact of immune-classification, which has a prognostic value that may add to the significance of the AJCC/UICC TNM-classification. It is therefore imperative to begin to incorporate the ‘Immunoscore’ into traditional classification, thus providing an essential prognostic and potentially predictive tool. Introduction of this parameter as a biomarker to classify cancers, as part of routine diagnostic and prognostic assessment of tumors, will facilitate clinical decision-making including rational stratification of patient treatment. Equally, the inherent complexity of quantitative immunohistochemistry, in conjunction with protocol variation across laboratories, analysis of different immune cell types, inconsistent region selection criteria, and variable ways to quantify immune infiltration, all underline the urgent requirement to reach assay harmonization. In an effort to promote the Immunoscore in routine clinical settings, an international task force was initiated. This review represents a follow-up of the announcement of

  19. Impact of full field digital mammography on the classification and mammographic characteristics of interval breast cancers

    International Nuclear Information System (INIS)

    Highlights: • Digital mammography has changed the presentation of interval breast cancer. • Less interval breast cancers are associated with microcalcifications following FFDM. • Interval breast cancer audit remains a key feature of any breast screening program. - Abstract: Objective: Full field digital mammography (FFDM) is increasingly replacing screen film mammography (SFM) in breast screening programs. Interval breast cancers are an issue in all screening programs and the purpose of our study is to assess the impact of FFDM on the classification of interval breast cancers at independent blind review and to compare the mammographic features of interval cancers at FFDM and SFM. Materials and methods: This study included 138 cases of interval breast cancer, 76 following an FFDM screening examination and 62 following screening with SFM. The prior screening mammogram was assessed by each of five consultant breast radiologists who were blinded to the site of subsequent cancer. Subsequent review of the diagnostic mammogram was performed and cases were classified as missed, minimal signs, occult or true interval. Mammographic features of the interval cancer at diagnosis and any abnormality identified on the prior screening mammogram were recorded. Results: The percentages of cancers classified as missed at FFDM and SFM did not differ significantly, 10.5% (8 of 76) at FFDM and 8.1% (5 of 62) at SFM (p = .77). There were significantly less interval cancers presenting as microcalcifications (alone or in association with another abnormality) following screening with FFDM, 16% (12 of 76) than following a SFM examination, 32% (20 of 62) (p = .02). Conclusion: Interval breast cancers continue to pose a problem at FFDM. The switch to FFDM has changed the mammographic presentation of interval breast cancer, with less interval cancers presenting in association with microcalcifications

  20. Impact of full field digital mammography on the classification and mammographic characteristics of interval breast cancers

    Energy Technology Data Exchange (ETDEWEB)

    Knox, Mark, E-mail: marktknox@gmail.com; O’Brien, Angela, E-mail: angelaobrien@doctors.org.uk; Szabó, Endre, E-mail: endrebacsi@freemail.hu; Smith, Clare S., E-mail: csmith@mater.ie; Fenlon, Helen M., E-mail: helen.fenlon@cancerscreening.ie; McNicholas, Michelle M., E-mail: michelle.mcnicholas@cancerscreening.ie; Flanagan, Fidelma L., E-mail: fidelma.flanagan@cancerscreening.ie

    2015-06-15

    Highlights: • Digital mammography has changed the presentation of interval breast cancer. • Less interval breast cancers are associated with microcalcifications following FFDM. • Interval breast cancer audit remains a key feature of any breast screening program. - Abstract: Objective: Full field digital mammography (FFDM) is increasingly replacing screen film mammography (SFM) in breast screening programs. Interval breast cancers are an issue in all screening programs and the purpose of our study is to assess the impact of FFDM on the classification of interval breast cancers at independent blind review and to compare the mammographic features of interval cancers at FFDM and SFM. Materials and methods: This study included 138 cases of interval breast cancer, 76 following an FFDM screening examination and 62 following screening with SFM. The prior screening mammogram was assessed by each of five consultant breast radiologists who were blinded to the site of subsequent cancer. Subsequent review of the diagnostic mammogram was performed and cases were classified as missed, minimal signs, occult or true interval. Mammographic features of the interval cancer at diagnosis and any abnormality identified on the prior screening mammogram were recorded. Results: The percentages of cancers classified as missed at FFDM and SFM did not differ significantly, 10.5% (8 of 76) at FFDM and 8.1% (5 of 62) at SFM (p = .77). There were significantly less interval cancers presenting as microcalcifications (alone or in association with another abnormality) following screening with FFDM, 16% (12 of 76) than following a SFM examination, 32% (20 of 62) (p = .02). Conclusion: Interval breast cancers continue to pose a problem at FFDM. The switch to FFDM has changed the mammographic presentation of interval breast cancer, with less interval cancers presenting in association with microcalcifications.

  1. Classification for breast cancer diagnosis with Raman spectroscopy

    Science.gov (United States)

    Li, Qingbo; Gao, Qishuo; Zhang, Guangjun

    2014-01-01

    In order to promote the development of the portable, low-cost and in vivo cancer diagnosis instrument, a miniature laser Raman spectrometer was employed to acquire the conventional Raman spectra for breast cancer detection in this paper. But it is difficult to achieve high discrimination accuracy. Then a novel method of adaptive weight k-local hyperplane (AWKH) is proposed to increase the classification accuracy. AWKH is an extension and improvement of K-local hyperplane distance nearest-neighbor (HKNN). It considers the features weights of the training data in the nearest neighbor selection and local hyperplane construction stage, which resolve the basic shortcoming of HKNN works well only for small values of the nearest-neighbor. Experimental results on Raman spectra of breast tissues in vitro show the proposed method can realize high classification accuracy. PMID:25071976

  2. Classification of Cancer Recurrence with Alpha-Beta BAM

    Directory of Open Access Journals (Sweden)

    María Elena Acevedo

    2009-01-01

    Full Text Available Bidirectional Associative Memories (BAMs based on first model proposed by Kosko do not have perfect recall of training set, and their algorithm must iterate until it reaches a stable state. In this work, we use the model of Alpha-Beta BAM to classify automatically cancer recurrence in female patients with a previous breast cancer surgery. Alpha-Beta BAM presents perfect recall of all the training patterns and it has a one-shot algorithm; these advantages make to Alpha-Beta BAM a suitable tool for classification. We use data from Haberman database, and leave-one-out algorithm was applied to analyze the performance of our model as classifier. We obtain a percentage of classification of 99.98%.

  3. Classification of Rat FTIR Colon Cancer Data Using Waveletsand BPNN

    Institute of Scientific and Technical Information of China (English)

    CHENG,Cungui; XIONG,Wei; TIAN,Yumei

    2009-01-01

    A feature extracting method based on wavelets for horizontal attenuated total reflectance Fourier transform in-frared spectroscopy (HATR-FTIR) and the cancer classification using artificial neural network trained with back-propagation algorithm is presented. The FTIR data collected from 36 normal Sprague-dawley (SD) rats, 60 1,2-DMH-induced SD rats, and 44 second generation rats of those induced rats were first preprocessed. Then, 12 feature variants were extracted using continuous wavelet analysis. Based on BPNN classification, all spectra were classified into two categories: normal and abnormal ones. The accuracy values of identifying normal, dysplastic, early carcinoma, and advanced carcinoma were 100%, 94%, 97.5%, and 100%, respectively. This result indicated that FTIR with continuous wavelet transform (CWT) and the back-propagation neural network (BPNN) could ef- fectively and easily diagnose colon cancer in its early stages.

  4. Computer aided decision support system for cervical cancer classification

    Science.gov (United States)

    Rahmadwati, Rahmadwati; Naghdy, Golshah; Ros, Montserrat; Todd, Catherine

    2012-10-01

    Conventional analysis of a cervical histology image, such a pap smear or a biopsy sample, is performed by an expert pathologist manually. This involves inspecting the sample for cellular level abnormalities and determining the spread of the abnormalities. Cancer is graded based on the spread of the abnormal cells. This is a tedious, subjective and time-consuming process with considerable variations in diagnosis between the experts. This paper presents a computer aided decision support system (CADSS) tool to help the pathologists in their examination of the cervical cancer biopsies. The main aim of the proposed CADSS system is to identify abnormalities and quantify cancer grading in a systematic and repeatable manner. The paper proposes three different methods which presents and compares the results using 475 images of cervical biopsies which include normal, three stages of pre cancer, and malignant cases. This paper will explore various components of an effective CADSS; image acquisition, pre-processing, segmentation, feature extraction, classification, grading and disease identification. Cervical histological images are captured using a digital microscope. The images are captured in sufficient resolution to retain enough information for effective classification. Histology images of cervical biopsies consist of three major sections; background, stroma and squamous epithelium. Most diagnostic information are contained within the epithelium region. This paper will present two levels of segmentations; global (macro) and local (micro). At the global level the squamous epithelium is separated from the background and stroma. At the local or cellular level, the nuclei and cytoplasm are segmented for further analysis. Image features that influence the pathologists' decision during the analysis and classification of a cervical biopsy are the nuclei's shape and spread; the ratio of the areas of nuclei and cytoplasm as well as the texture and spread of the abnormalities

  5. [Molecular classification of bladder cancer. Possible similarities to breast cancer].

    Science.gov (United States)

    Wirtz, R M; Fritz, V; Stöhr, R; Hartmann, A

    2016-02-01

    Therapeutic decisions for breast cancer are increasingly becoming based on subtype-specific gene expression tests. For bladder cancer very similar subtypes have been identified by genome-wide mRNA analysis, which as for breast cancer differ with respect to the prognosis and response to therapy on the basis of their hormone dependency. At the DNA level, however, the type of mutations and their frequencies within the subtypes are strikingly different between bladder and breast cancers. It will be interesting to see whether possible driver mutations can serve as therapeutic targets in both indications. In contrast, the apparent hormone dependency of a substantial number of bladder carcinomas suggests that hormonal and anti-hormonal treatment can be valid therapy options similar to breast cancer. Moreover, gender-specific differences with respect to the incidence and aggressiveness of male compared to female bladder cancers can be explained by hormonal effects. Together with forthcoming immunomodulatory therapies these multiple therapy options raise and give new hope to efficiently combat this aggressive disease. PMID:26780243

  6. Testicular cancer: addressing the psychosexual issues.

    LENUS (Irish Health Repository)

    Moore, Annamarie

    2012-01-31

    Testicular cancer is the most common malignancy in men aged 15-35 years and predominantly occurs at a time in a man\\'s life when important decisions about marriage, starting a family and a professional career are being made. While treatments for testicular cancer are very successful, they can have a major impact on the person\\'s sexuality and sense of self. The focus of this article is on exploring the impact of cancer treatments for testicular cancer on men\\'s sexuality and how nurses can respond to their concerns in a sensitive and informed manner.

  7. Side effects of cancer therapies. International classification and documentation systems

    International Nuclear Information System (INIS)

    The publication presents and explains verified, international classification and documentation systems for side effects induced by cancer treatments, applicable in general and clinical practice and clinical research, and covers in a clearly arranged manner the whole range of treatments, including acute and chronic side effects of chemotherapy and radiotherapy, surgery, or combined therapies. The book fills a long-felt need in tumor documentation and is a major contribution to quality assurance in clinical oncology in German-speaking countries. As most parts of the book are bilingual, presenting German and English texts and terminology, it satisfies the principles of interdisciplinarity and internationality. The tabulated form chosen for presentation of classification systems and criteria facilitate the user's approach as well as application in daily work. (orig./CB)

  8. Surviving testicular cancer : sexuality & other existential issues

    NARCIS (Netherlands)

    Pool, Grietje

    2003-01-01

    The thesis deals with the psychological aspects of ‘sexuality after testicular cancer’, where my collegue, the physician dr. Van Basten formerly predominantly described the physical-biological aspects of this subject. Testicular cancer is a type of male genital cancer, usually diagnosed between abou

  9. Molecular Classification of Gastric Cancer: A new paradigm

    Science.gov (United States)

    Shah, Manish A.; Khanin, Raya; Tang, Laura; Janjigian, Yelena Y.; Klimstra, David S.; Gerdes, Hans; Kelsen, David P.

    2011-01-01

    Purpose Gastric cancer may be subdivided into three distinct subtypes –proximal, diffuse, and distal gastric cancer– based on histopathologic and anatomic criteria. Each subtype is associated with unique epidemiology. Our aim is to test the hypothesis that these distinct gastric cancer subtypes may also be distinguished by gene expression analysis. Experimental Design Patients with localized gastric adenocarcinoma being screened for a phase II preoperative clinical trial (NCI 5917) underwent endoscopic biopsy for fresh tumor procurement. 4–6 targeted biopsies of the primary tumor were obtained. Macrodissection was performed to ensure >80% carcinoma in the sample. HG-U133A GeneChip (Affymetrix) was used for cDNA expression analysis, and all arrays were processed and analyzed using the Bioconductor R-package. Results Between November 2003 and January 2006, 57 patients were screened to identify 36 patients with localized gastric cancer who had adequate RNA for expression analysis. Using supervised analysis, we built a classifier to distinguish the three gastric cancer subtypes, successfully classifying each into tightly grouped clusters. Leave-one-out cross validation error was 0.14, suggesting that >85% of samples were classified correctly. Gene set analysis with the False Discovery Rate set at 0.25 identified several pathways that were differentially regulated when comparing each gastric cancer subtype to adjacent normal stomach. Conclusions Subtypes of gastric cancer that have epidemiologic and histologic distinction are also distinguished by gene expression data. These preliminary data suggest a new classification of gastric cancer with implications for improving our understanding of disease biology and identification of unique molecular drivers for each gastric cancer subtype. PMID:21430069

  10. Classification of Cancer-related Death Certificates using Machine Learning

    Directory of Open Access Journals (Sweden)

    Luke Butt

    2013-05-01

    Full Text Available BackgroundCancer monitoring and prevention relies on the critical aspect of timely notification of cancer cases. However, the abstraction and classification of cancer from the free-text of pathology reports and other relevant documents, such as death certificates, exist as complex and time-consuming activities.AimsIn this paper, approaches for the automatic detection of notifiable cancer cases as the cause of death from free-text death certificates supplied to Cancer Registries are investigated.Method A number of machine learning classifiers were studied. Features were extracted using natural language techniques and the Medtex toolkit. The numerous features encompassed stemmed words, bi-grams, and concepts from the SNOMED CT medical terminology. The baseline consisted of a keyword spotter using keywords extracted from the long description of ICD-10 cancer related codes.ResultsDeath certificates with notifiable cancer listed as the cause of death can be effectively identified with the methods studied in this paper. A Support Vector Machine (SVM classifier achieved best performance with an overall F-measure of 0.9866 when evaluated on a set of 5,000 free-text death certificates using the token stem feature set. The SNOMED CT concept plus token stem feature set reached the lowest variance (0.0032 and false negative rate (0.0297 while achieving an F-measure of 0.9864. The SVM classifier accounts for the first 18 of the top 40 evaluated runs, and entails the most robust classifier with a variance of 0.001141, half the variance of the other classifiers.ConclusionThe selection of features significantly produced the most influences on the performance of the classifiers, although the type of classifier employed also affects performance. In contrast, the feature weighting schema created a negligible effect on performance. Specifically, it is found that stemmed tokens with or without SNOMED CT concepts create the most effective feature when combined with

  11. Hereditary breast cancer. Psychosocial issues and family physicians' role.

    OpenAIRE

    Carroll, J. C.; Heisey, R. E.; Warner, E.; V Goel; McCready, D R

    1999-01-01

    OBJECTIVES: To outline the psychosocial issues in hereditary breast cancer (HBC) assessment and discuss the role of family physicians. QUALITY OF EVIDENCE: A literature search using MEDLINE, CINAHL, CancerLit, and HealthStar databases was conducted from January 1990 to April 1998, using the key words breast cancer or neoplasm and familial or hereditary, genetic testing or screening, primary care or family physician or counseling, genetic counseling, psychosocial or psychological. We found onl...

  12. A Dataset for Breast Cancer Histopathological Image Classification.

    Science.gov (United States)

    Spanhol, Fabio A; Oliveira, Luiz S; Petitjean, Caroline; Heutte, Laurent

    2016-07-01

    Today, medical image analysis papers require solid experiments to prove the usefulness of proposed methods. However, experiments are often performed on data selected by the researchers, which may come from different institutions, scanners, and populations. Different evaluation measures may be used, making it difficult to compare the methods. In this paper, we introduce a dataset of 7909 breast cancer histopathology images acquired on 82 patients, which is now publicly available from http://web.inf.ufpr.br/vri/breast-cancer-database. The dataset includes both benign and malignant images. The task associated with this dataset is the automated classification of these images in two classes, which would be a valuable computer-aided diagnosis tool for the clinician. In order to assess the difficulty of this task, we show some preliminary results obtained with state-of-the-art image classification systems. The accuracy ranges from 80% to 85%, showing room for improvement is left. By providing this dataset and a standardized evaluation protocol to the scientific community, we hope to gather researchers in both the medical and the machine learning field to advance toward this clinical application. PMID:26540668

  13. 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.

  14. 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...

  15. 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.

  16. Swarm Intelligence Approach Based on Adaptive ELM Classifier with ICGA Selection for Microarray Gene Expression and Cancer Classification

    Directory of Open Access Journals (Sweden)

    T. Karthikeyan

    2014-05-01

    Full Text Available The aim of this research study is based on efficient gene selection and classification of microarray data analysis using hybrid machine learning algorithms. The beginning of microarray technology has enabled the researchers to quickly measure the position of thousands of genes expressed in an organic/biological tissue samples in a solitary experiment. One of the important applications of this microarray technology is to classify the tissue samples using their gene expression representation, identify numerous type of cancer. Cancer is a group of diseases in which a set of cells shows uncontrolled growth, instance that interrupts upon and destroys nearby tissues and spreading to other locations in the body via lymph or blood. Cancer has becomes a one of the major important disease in current scenario. DNA microarrays turn out to be an effectual tool utilized in molecular biology and cancer diagnosis. Microarrays can be measured to establish the relative quantity of mRNAs in two or additional organic/biological tissue samples for thousands/several thousands of genes at the same time. As the superiority of this technique become exactly analysis/identifying the suitable assessment of microarray data in various open issues. In the field of medical sciences multi-category cancer classification play a major important role to classify the cancer types according to the gene expression. The need of the cancer classification has been become indispensible, because the numbers of cancer victims are increasing steadily identified by recent years. To perform this proposed a combination of Integer-Coded Genetic Algorithm (ICGA and Artificial Bee Colony algorithm (ABC, coupled with an Adaptive Extreme Learning Machine (AELM, is used for gene selection and cancer classification. ICGA is used with ABC based AELM classifier to chose an optimal set of genes which results in an efficient hybrid algorithm that can handle sparse data and sample imbalance. The

  17. Pathohistological classification systems in gastric cancer: Diagnostic relevance and prognostic value

    OpenAIRE

    Berlth, Felix; Bollschweiler, Elfriede; Drebber, Uta; Hoelscher, Arnulf H; Moenig, Stefan

    2014-01-01

    Several pathohistological classification systems exist for the diagnosis of gastric cancer. Many studies have investigated the correlation between the pathohistological characteristics in gastric cancer and patient characteristics, disease specific criteria and overall outcome. It is still controversial as to which classification system imparts the most reliable information, and therefore, the choice of system may vary in clinical routine. In addition to the most common classification systems...

  18. Vitamins and cancer prevention: issues and dilemmas.

    Science.gov (United States)

    Young, V R; Newberne, P M

    1981-03-01

    Vitamins are a class of organic compounds that are components of an adequate diet. They or their derivatives function as coenzymes, cellular antioxidants, and/or regulators of gene expression. Fourteen vitamins are recognized in human nutrition (Vitamins A, D, E, K, B1, B2, B6, B12, C, niacin, folacin, pantothenic acid, biotin, choline), with deficiencies or excesses in intake leading to changes in protein, nucleic acid, carbohydrates, fat and/or mineral metabolism. Thus, the integrity of physiological systems, including those associated with detoxification, cellular repair, immune processes, and neural and endocrine function, depends upon the nutritional and vitamin status of the host. For these reasons, it may be anticipated that the adequacy of the vitamin supply to cells and tissues would affect the development, progress, and outcome of cancers. In this review, the definition and functions of and requirements and recommended allowance for vitamins are discussed briefly before exploring the evidence, largely from studies in experimental animals, that indicates the nature of the link between vitamins and cancer. Although evidence based on studies in animal systems reveals that vitamin intake and status can modulate the outcome of experimental carcinogenesis, the findings are often conflicting and difficult to interpret. Furthermore, it is not yet possible to develop a suitable prediction of the role of the individual vitamins in tumor development. The significance of these observations for human nutrition and cancer prevention, particularly in reference to ascorbic acid (vitamin C), vitamin E, and B-complex vitamins is considered. Vitamin A and retinoid compounds are discussed elsewhere in the symposium. The many popular misconceptions and unsound advice concerning vitamins and health, including "fake" vitamins-pangamic acid ("vitamin B15") and laetrile ("vitamin B17")-are also discussed. On the basis of current evidence, it would be inappropriate to recommend

  19. Breast cancer and depression: issues in clinical care

    Directory of Open Access Journals (Sweden)

    Thingbaijam B. Singh

    2012-11-01

    Full Text Available Many of breast-cancer patients experience distress and most of them experience depression which may lead to amplification of physical symptoms, increased functional impairment, and poor treatment adherence. We did a review on available literature from PubMed about prevalence, distress magnitudes, coping styles, and treatment methods of major depression in women with breast cancer from 1978 to 2010. Diagnosis and treatment of depressive episodes in women with breast cancer is challenging because of overlapping symptoms and co-morbid conditions. Major depression is often under-recognized and undertreated among breast cancer patients. This review highlighted the issues on identifying and managing depression in breast cancer patients in clinical settings. (Med J Indones. 2012;21:240-6Keywords: Breast cancer, coping, depression, distress

  20. Surgical management of advanced gastric cancer: An evolving issue.

    Science.gov (United States)

    Marano, L; Polom, K; Patriti, A; Roviello, G; Falco, G; Stracqualursi, A; De Luca, R; Petrioli, R; Martinotti, M; Generali, D; Marrelli, D; Di Martino, N; Roviello, F

    2016-01-01

    Worldwide, gastric cancer represents the fifth most common cancer and the third leading cause of cancer deaths. Although the overall 5-year survival for resectable disease was more than 70% in Japan due to the implementation of screening programs resulting in detection of disease at earlier stages, in Western countries more than two thirds of gastric cancers are usually diagnosed in advanced stages reporting a 5-year survival rate of only 25.7%. Anyway surgical resection with extended lymph node dissection remains the only curative therapy for non-metastatic advanced gastric cancer, while neoadjuvant and adjuvant chemotherapies can improve the outcomes aimed at the reduction of recurrence and extension of survival. High-quality research and advances in technologies have contributed to well define the oncological outcomes and have stimulated many clinical studies testing multimodality managements in the advanced disease setting. This review article aims to outline and discuss open issues in current surgical management of advanced gastric cancer. PMID:26632080

  1. Histotype-based prognostic classification of gastric cancer

    Institute of Scientific and Technical Information of China (English)

    Anna Maria Chiaravalli; Catherine Klersy; Alessandro Vanoli; Andrea Ferretti; Carlo Capella; Enrico Solcia

    2012-01-01

    AIM:To test the efficiency of a recently proposed histotype-based grading system in a consecutive series of gastric cancers.METHOIS:Two hundred advanced gastric cancers operated upon in 1980-1987 and followed for a median 159 mo were investigated on hematoxylin-eosinstained sections to identify low-grade [muconodular,well differentiated tubular,diffuse desmoplastic and high lymphoid response (HLR)],high-grade (anaplastic and mucinous invasive) and intermediate-grade (ordinarycohesive,diffuse and mucinous) cancers,in parallel with a previously investigated series of 292 cases.In addition,immunohistochemical analyses for CD8,CD11 and HLA-DR antigens,pancytokeratin and podoplanin,as well as immunohistochemical and molecular tests for microsatellite DNA instability and in situ hybridization for the Epstein-Barr virus (EBV) EBER1 gene were performed.Patient survival was assessed with death rates per 100 person-years and with Kaplan-Meier or Cox model estimates.RESULTS:Collectively,the four low-grade histotypes accounted for 22% and the two high-grade histotypes for 7% of the consecutive cancers investigated,while the remaining 71% of cases were intermediate-grade cancers,with highly significant,stage-independent,survival differences among the three tumor grades (P =0.004 for grade 1 vs 2 and P =0.0019 for grade 2 vs grade 3),thus confirming the results in the original series.A combined analysis of 492 cases showed an improved prognostic value of histotype-based grading compared with the Lauren classification.In addition,it allowed better characterization of rare histotypes,particularly the three subsets of prognostically different mucinous neoplasms,of which 10 ordinary mucinous cancers showed stage-inclusive survival worse than that of 20 muconodular (P =0.037) and better than that of 21 high-grade (P < 0.001) cases.Tumors with high-level microsatellite DNA instability(MSI-H) or EBV infection,together with a third subset negative for both conditions,formed the

  2. Cancer screening in the United States, 2016: A review of current American Cancer Society guidelines and current issues in cancer screening.

    Science.gov (United States)

    Smith, Robert A; Andrews, Kimberly; Brooks, Durado; DeSantis, Carol E; Fedewa, Stacey A; Lortet-Tieulent, Joannie; Manassaram-Baptiste, Deana; Brawley, Otis W; Wender, Richard C

    2016-01-01

    Each year the American Cancer Society (ACS) publishes a summary of its guidelines for early cancer detection, data and trends in cancer screening rates, and select issues related to cancer screening. In this issue of the journal, we summarize current ACS cancer screening guidelines, including the update of the breast cancer screening guideline, discuss quality issues in colorectal cancer screening and new developments in lung cancer screening, and provide the latest data on utilization of cancer screening from the National Health Interview Survey.

  3. Improving breast cancer classification with mammography, supported on an appropriate variable selection analysis

    Science.gov (United States)

    Pérez, Noel; Guevara, Miguel A.; Silva, Augusto

    2013-02-01

    This work addresses the issue of variable selection within the context of breast cancer classification with mammography. A comprehensive repository of feature vectors was used including a hybrid subset gathering image-based and clinical features. It aimed to gather experimental evidence of variable selection in terms of cardinality, type and find a classification scheme that provides the best performance over the Area Under Receiver Operating Characteristics Curve (AUC) scores using the ranked features subset. We evaluated and classified a total of 300 subsets of features formed by the application of Chi-Square Discretization, Information-Gain, One-Rule and RELIEF methods in association with Feed-Forward Backpropagation Neural Network (FFBP), Support Vector Machine (SVM) and Decision Tree J48 (DTJ48) Machine Learning Algorithms (MLA) for a comparative performance evaluation based on AUC scores. A variable selection analysis was performed for Single-View Ranking and Multi-View Ranking groups of features. Features subsets representing Microcalcifications (MCs), Masses and both MCs and Masses lesions achieved AUC scores of 0.91, 0.954 and 0.934 respectively. Experimental evidence demonstrated that classification performance was improved by combining image-based and clinical features. The most important clinical and image-based features were StromaDistortion and Circularity respectively. Other less important but worth to use due to its consistency were Contrast, Perimeter, Microcalcification, Correlation and Elongation.

  4. 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...

  5. Classification of Cancer Gene Selection Using Random Forest and Neural Network Based Ensemble Classifier

    Directory of Open Access Journals (Sweden)

    Jogendra Kushwah

    2013-06-01

    Full Text Available The free radical gene classification of cancer diseases is challenging job in biomedical data engineering. The improving of classification of gene selection of cancer diseases various classifier are used, but the classification of classifier are not validate. So ensemble classifier is used for cancer gene classification using neural network classifier with random forest tree. The random forest tree is ensembling technique of classifier in this technique the number of classifier ensemble of their leaf node of class of classifier. In this paper we combined neural network with random forest ensemble classifier for classification of cancer gene selection for diagnose analysis of cancer diseases. The proposed method is different from most of the methods of ensemble classifier, which follow an input output paradigm of neural network, where the members of the ensemble are selected from a set of neural network classifier. the number of classifiers is determined during the rising procedure of the forest. Furthermore, the proposed method produces an ensemble not only correct, but also assorted, ensuring the two important properties that should characterize an ensemble classifier. For empirical evaluation of our proposed method we used UCI cancer diseases data set for classification. Our experimental result shows that better result in compression of random forest tree classification.

  6. A minimum spanning forest based hyperspectral image classification method for cancerous tissue detection

    Science.gov (United States)

    Pike, Robert; Patton, Samuel K.; Lu, Guolan; Halig, Luma V.; Wang, Dongsheng; Chen, Zhuo Georgia; Fei, Baowei

    2014-03-01

    Hyperspectral imaging is a developing modality for cancer detection. The rich information associated with hyperspectral images allow for the examination between cancerous and healthy tissue. This study focuses on a new method that incorporates support vector machines into a minimum spanning forest algorithm for differentiating cancerous tissue from normal tissue. Spectral information was gathered to test the algorithm. Animal experiments were performed and hyperspectral images were acquired from tumor-bearing mice. In vivo imaging experimental results demonstrate the applicability of the proposed classification method for cancer tissue classification on hyperspectral images.

  7. Key issues in automatic classification of defects in post-inspection review process of photomasks

    Science.gov (United States)

    Pereira, Mark; Maji, Manabendra; Pai, Ravi R.; B. V. R., Samir; Seshadri, R.; Patil, Pradeepkumar

    2012-11-01

    The mask inspection and defect classification is a crucial part of mask preparation technology and consumes a significant amount of mask preparation time. As the patterns on a mask become smaller and more complex, the need for a highly precise mask inspection system with high detection sensitivity becomes greater. However, due to the high sensitivity, in addition to the detection of smaller defects on finer geometries, the inspection machine could report large number of false defects. The total number of defects becomes significantly high and the manual classification of these defects, where the operator should review each of the defects and classify them, may take huge amount of time. Apart from false defects, many of the very small real defects may not print on the wafer and user needs to spend time on classifying them as well. Also, sometimes, manual classification done by different operators may not be consistent. So, need for an automatic, consistent and fast classification tool becomes more acute in more advanced nodes. Automatic Defect Classification tool (NxADC) which is in advanced stage of development as part of NxDAT1, can automatically classify defects accurately and consistently in very less amount of time, compared to a human operator. Amongst the prospective defects as detected by the Mask Inspection System, NxADC identifies several types of false defects such as false defects due to registration error, false defects due to problems with CCD, noise, etc. It is also able to automatically classify real defects such as, pin-dot, pin-hole, clear extension, multiple-edges opaque, missing chrome, chrome-over-MoSi, etc. We faced a large set of algorithmic challenges during the course of the development of our NxADC tool. These include selecting the appropriate image alignment algorithm to detect registration errors (especially when there are sub-pixel registration errors or misalignment in repetitive patterns such as line space), differentiating noise from

  8. Risk Management and Medico-Legal Issues in Breast Cancer.

    Science.gov (United States)

    Ward, Charles J; Green, Victoria L

    2016-06-01

    Breast cancer is a leading source of malpractice claims for radiologists and gynecologists. Delay in or failure to diagnosis was the second most common cause for allegations of malpractice and failure to diagnosis breast cancer accounted for the majority of these claims. The amount paid in indemnity for such claims was only second to claims paid for neurologically impaired newborns. Issues involved in documentation and communication are reviewed with a focus on specific medical legal cases. Obstetrician gynecologists must remain cognizant of the potential for liability. PMID:27101242

  9. Identifying Cancer Biomarkers Via Node Classification within a Mapreduce Framework

    Directory of Open Access Journals (Sweden)

    Taysir Hassan A. Soliman

    2015-12-01

    Full Text Available Big data are giving new research challenges in the life sciences domain because of their variety, volume, veracity, velocity, and value. Predicting gene biomarkers is one of the vital research issues in bioinformatics field, where microarray gene expression and network based methods can be used. These datasets suffer from the huge data voluminous, causing main memory problems. In this paper, a Random Committee Node Classifier algorithm (RCNC is proposed for identifying cancer biomarkers, which is based on microarray gene expression data and Protein-Protein Interaction (PPI data. Data are enriched from other public databases, such as IntACT1 and UniProt2 and Gene Ontology3 (GO. Cancer Biomarkers are identified when applied to different datasets with an accuracy rate an accuracy rate 99.16%, 99.96% precision, 99.24% recall, 99.16% F1-measure and 99.6 ROC. To speed up the performance, it is run within a MapReduce framework, where RCNC MapReduce algorithm is much faster than RCNC sequential algorithm when having large datasets.

  10. Classification

    Science.gov (United States)

    Clary, Renee; Wandersee, James

    2013-01-01

    In this article, Renee Clary and James Wandersee describe the beginnings of "Classification," which lies at the very heart of science and depends upon pattern recognition. Clary and Wandersee approach patterns by first telling the story of the "Linnaean classification system," introduced by Carl Linnacus (1707-1778), who is…

  11. ENRICH Forum: Ethical aNd Regulatory Issues in Cancer ResearcH

    Science.gov (United States)

    ENRICH Forum: Ethical aNd Regulatory Issues in Cancer ResearcH, designed to stimulate dialogue on ethical and regulatory issues in cancer research and promote awareness of developing policies and best practices.

  12. Classification and Diagnostic Output Prediction of Cancer Using Gene Expression Profiling and Supervised Machine Learning Algorithms

    DEFF Research Database (Denmark)

    Yoo, C.; Gernaey, Krist

    2008-01-01

    the subtype classification 3 data sets solely on the basis of molecular-level monitoring. Compared to unsupervised clustering, the supervised method performed better for discriminating between cancer types and cancer subtypes for the leukemia data set. The performance of the proposed method, using only...

  13. Efficient Cancer Classification using Fast Adaptive Neuro-Fuzzy Inference System (FANFIS based on Statistical Techniques

    Directory of Open Access Journals (Sweden)

    K.Ananda Kumar

    2011-09-01

    Full Text Available The increase in number of cancer is detected throughout the world. This leads to the requirement of developing a new technique which can detect the occurrence the cancer. This will help in better diagnosis in order to reduce the cancer patients. This paper aim at finding the smallest set of genes that can ensure highly accurate classification of cancer from micro array data by using supervised machine learning algorithms. The significance of finding the minimum subset is three fold: a The computational burden and noise arising from irrelevant genes are much reduced; b the cost for cancer testing is reduced significantly as it simplifies the gene expression tests to include only a very small number of genes rather than thousands of genes; c it calls for more investigation into the probable biological relationship between these small numbers of genes and cancer development and treatment. The proposed method involves two steps. In the first step, some important genes are chosen with the help of Analysis of Variance (ANOVA ranking scheme. In the second step, the classification capability is tested for all simple combinations of those important genes using a better classifier. The proposed method uses Fast Adaptive Neuro-Fuzzy Inference System (FANFIS as a classification model. This classification model uses Modified Levenberg-Marquardt algorithm for learning phase. The experimental results suggest that the proposed method results in better accuracy and also it takes lesser time for classification when compared to the conventional techniques.

  14. Automated classification of histopathology images of prostate cancer using a Bag-of-Words approach

    Science.gov (United States)

    Sanghavi, Foram M.; Agaian, Sos S.

    2016-05-01

    The goals of this paper are (1) test the Computer Aided Classification of the prostate cancer histopathology images based on the Bag-of-Words (BoW) approach (2) evaluate the performance of the classification grade 3 and 4 of the proposed method using the results of the approach proposed by the authors Khurd et al. in [9] and (3) classify the different grades of cancer namely, grade 0, 3, 4, and 5 using the proposed approach. The system performance is assessed using 132 prostate cancer histopathology of different grades. The system performance of the SURF features are also analyzed by comparing the results with SIFT features using different cluster sizes. The results show 90.15% accuracy in detection of prostate cancer images using SURF features with 75 clusters for k-mean clustering. The results showed higher sensitivity for SURF based BoW classification compared to SIFT based BoW.

  15. Classification of Cancer Gene Selection Using Random Forest and Neural Network Based Ensemble Classifier

    Directory of Open Access Journals (Sweden)

    Jogendra Kushwah

    2013-06-01

    Full Text Available The free radical gene classification of cancerdiseasesis challenging job in biomedical dataengineering. The improving of classification of geneselection of cancer diseases various classifier areused, but the classification of classifier are notvalidate. So ensemble classifier is used for cancergene classification using neural network classifierwith random forest tree. The random forest tree isensembling technique of classifier in this techniquethe number of classifier ensemble of their leaf nodeof class of classifier. In this paper we combinedneuralnetwork with random forest ensembleclassifier for classification of cancer gene selectionfor diagnose analysis of cancer diseases.Theproposed method is different from most of themethods of ensemble classifier, which follow aninput output paradigm ofneural network, where themembers of the ensemble are selected from a set ofneural network classifier. the number of classifiersis determined during the rising procedure of theforest. Furthermore, the proposed method producesan ensemble not only correct, but also assorted,ensuring the two important properties that shouldcharacterize an ensemble classifier. For empiricalevaluation of our proposed method we used UCIcancer diseases data set for classification. Ourexperimental result shows that betterresult incompression of random forest tree classification

  16. Psychological, social, and behavioral issues for young adults with cancer.

    Science.gov (United States)

    Zebrack, Brad J

    2011-05-15

    Theories of human development suggest that, although all cancer patients experience a common set of life disruptions, they experience them differently, focus on different issues, and attach different levels of importance to different aspects of the experience depending on the time in life at which they were diagnosed. During the critical developmental transition from childhood to adulthood, older adolescents and young adults in particular have typical concerns with establishing identity, developing a positive body image and sexual identity, separating from parents, increasing involvement with peers and dating, and beginning to make decisions about careers or employment, higher education, and/or family. Accordingly, cancer-related issues such as premature confrontation with mortality, changes in physical appearance, increased dependence on parents, disruptions in social life and school/employment because of treatment, loss of reproductive capacity, and health-related concerns about the future may be particularly distressing for adolescents and young adults. Psychosocial and behavioral interventions for young adult cancer patients and survivors often involve assisting these individuals in retaining or returning to function in significant social roles, such as spouse, parent, student, worker, or friend. Successful interventions will enable these young people to overcome the detrimental impact of a health crisis and strengthen the internal and external coping resources available to them. PMID:21523748

  17. 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...

  18. 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

  19. Development of Assistive Robots Using International Classification of Functioning, Disability, and Health: Concept, Applications, and Issues

    Directory of Open Access Journals (Sweden)

    Hideyuki Tanaka

    2013-01-01

    Full Text Available Many assistive robots for elderly and disabled people have been developed in the past few decades. However, very few of them became commercially available. The major cause of the problem is that the cost-benefit ratio and the risk-benefit ratio of them are not good or not known. The evaluation of them should be done in the light of the impacts of assistive technologies on users’ whole life, both in short-term and long-term. In this paper, we propose a framework of evaluation and design of assistive robots using ICF (International Classification of Functioning, Disability, and Health. The goal of the framework is the realization of the life design and the improvement of the quality of life using assistive technologies. We describe the concept of utilizing ICF in the development process of assistive robots, and demonstrate its utility by using some examples of practical application such as the analysis of daily living, the design of assistive robots and the evaluation of assistive robots. We also show the issues of using ICF for further development of the framework.

  20. Mastectomy or breast conserving surgery? Factors affecting type of surgical treatment for breast cancer – a classification tree approach

    International Nuclear Information System (INIS)

    A critical choice facing breast cancer patients is which surgical treatment – mastectomy or breast conserving surgery (BCS) – is most appropriate. Several studies have investigated factors that impact the type of surgery chosen, identifying features such as place of residence, age at diagnosis, tumor size, socio-economic and racial/ethnic elements as relevant. Such assessment of 'propensity' is important in understanding issues such as a reported under-utilisation of BCS among women for whom such treatment was not contraindicated. Using Western Australian (WA) data, we further examine the factors associated with the type of surgical treatment for breast cancer using a classification tree approach. This approach deals naturally with complicated interactions between factors, and so allows flexible and interpretable models for treatment choice to be built that add to the current understanding of this complex decision process. Data was extracted from the WA Cancer Registry on women diagnosed with breast cancer in WA from 1990 to 2000. Subjects' treatment preferences were predicted from covariates using both classification trees and logistic regression. Tumor size was the primary determinant of patient choice, subjects with tumors smaller than 20 mm in diameter preferring BCS. For subjects with tumors greater than 20 mm in diameter factors such as patient age, nodal status, and tumor histology become relevant as predictors of patient choice. Classification trees perform as well as logistic regression for predicting patient choice, but are much easier to interpret for clinical use. The selected tree can inform clinicians' advice to patients

  1. Superpixel-based spectral classification for the detection of head and neck cancer with hyperspectral imaging

    Science.gov (United States)

    Chung, Hyunkoo; Lu, Guolan; Tian, Zhiqiang; Wang, Dongsheng; Chen, Zhuo Georgia; Fei, Baowei

    2016-01-01

    Hyperspectral imaging (HSI) is an emerging imaging modality for medical applications. HSI acquires two dimensional images at various wavelengths. The combination of both spectral and spatial information provides quantitative information for cancer detection and diagnosis. This paper proposes using superpixels, principal component analysis (PCA), and support vector machine (SVM) to distinguish regions of tumor from healthy tissue. The classification method uses 2 principal components decomposed from hyperspectral images and obtains an average sensitivity of 93% and an average specificity of 85% for 11 mice. The hyperspectral imaging technology and classification method can have various applications in cancer research and management.

  2. Superpixel-based spectral classification for the detection of head and neck cancer with hyperspectral imaging

    Science.gov (United States)

    Chung, Hyunkoo; Lu, Guolan; Tian, Zhiqiang; Wang, Dongsheng; Chen, Zhuo Georgia; Fei, Baowei

    2016-03-01

    Hyperspectral imaging (HSI) is an emerging imaging modality for medical applications. HSI acquires two dimensional images at various wavelengths. The combination of both spectral and spatial information provides quantitative information for cancer detection and diagnosis. This paper proposes using superpixels, principal component analysis (PCA), and support vector machine (SVM) to distinguish regions of tumor from healthy tissue. The classification method uses 2 principal components decomposed from hyperspectral images and obtains an average sensitivity of 93% and an average specificity of 85% for 11 mice. The hyperspectral imaging technology and classification method can have various applications in cancer research and management.

  3. Developing the atlas of cancer in Queensland: methodological issues

    Directory of Open Access Journals (Sweden)

    Mengersen Kerrie L

    2011-01-01

    Full Text Available Abstract Background Achieving health equity has been identified as a major challenge, both internationally and within Australia. Inequalities in cancer outcomes are well documented, and must be quantified before they can be addressed. One method of portraying geographical variation in data uses maps. Recently we have produced thematic maps showing the geographical variation in cancer incidence and survival across Queensland, Australia. This article documents the decisions and rationale used in producing these maps, with the aim to assist others in producing chronic disease atlases. Methods Bayesian hierarchical models were used to produce the estimates. Justification for the cancers chosen, geographical areas used, modelling method, outcome measures mapped, production of the adjacency matrix, assessment of convergence, sensitivity analyses performed and determination of significant geographical variation is provided. Conclusions Although careful consideration of many issues is required, chronic disease atlases are a useful tool for assessing and quantifying geographical inequalities. In addition they help focus research efforts to investigate why the observed inequalities exist, which in turn inform advocacy, policy, support and education programs designed to reduce these inequalities.

  4. Biology of cancer: current issues and future prospects.

    Science.gov (United States)

    Jenkins, J

    1992-02-01

    The future of cancer treatment is limited only by the rate of progress made in understanding the biology of cancer. The future will present a considerable challenge to health care professionals to learn new theories, understand new terms, and expect different toxicities. The explosion of information and technology is exciting, yet frightening. The willingness of scientists, health care professionals, and consumers to deal with the ethical, financial, and political issues generated by this progress is gratifying. Because science has created such advances, the effort to deal with the outcomes is worthwhile but still difficult. The challenge to rapidly facilitate the sharing of the scientific and clinical advances has been recognized by the nation. A legislative mandate to create a way to store and analyze the vast data related to molecular biology, biochemistry, and genetics resulted in the National Center for Biotechnology Information. The development of automated systems to analyze genetic, environmental, biological, and chemistry information can only enhance future progress in the management of cancer.

  5. Basal cytokeratins and their relationship to the cellular origin and functional classification of breast cancer

    OpenAIRE

    Gusterson, Barry A.; Ross, Douglas T.; Heath, Victoria J; Stein, Torsten

    2005-01-01

    Recent publications have classified breast cancers on the basis of expression of cytokeratin-5 and -17 at the RNA and protein levels, and demonstrated the importance of these markers in defining sporadic tumours with bad prognosis and an association with BRCA1-related breast cancers. These important observations using different technology platforms produce a new functional classification of breast carcinoma. However, it is important in developing hypotheses about the pathogenesis of this tumo...

  6. Zone-specific logistic regression models improve classification of prostate cancer on multi-parametric MRI

    Energy Technology Data Exchange (ETDEWEB)

    Dikaios, Nikolaos; Halligan, Steve; Taylor, Stuart; Atkinson, David; Punwani, Shonit [University College London, Centre for Medical Imaging, London (United Kingdom); University College London Hospital, Departments of Radiology, London (United Kingdom); Alkalbani, Jokha; Sidhu, Harbir Singh [University College London, Centre for Medical Imaging, London (United Kingdom); Abd-Alazeez, Mohamed; Ahmed, Hashim U.; Emberton, Mark [University College London, Research Department of Urology, Division of Surgery and Interventional Science, London (United Kingdom); Kirkham, Alex [University College London Hospital, Departments of Radiology, London (United Kingdom); Freeman, Alex [University College London Hospital, Department of Histopathology, London (United Kingdom)

    2015-09-15

    To assess the interchangeability of zone-specific (peripheral-zone (PZ) and transition-zone (TZ)) multiparametric-MRI (mp-MRI) logistic-regression (LR) models for classification of prostate cancer. Two hundred and thirty-one patients (70 TZ training-cohort; 76 PZ training-cohort; 85 TZ temporal validation-cohort) underwent mp-MRI and transperineal-template-prostate-mapping biopsy. PZ and TZ uni/multi-variate mp-MRI LR-models for classification of significant cancer (any cancer-core-length (CCL) with Gleason > 3 + 3 or any grade with CCL ≥ 4 mm) were derived from the respective cohorts and validated within the same zone by leave-one-out analysis. Inter-zonal performance was tested by applying TZ models to the PZ training-cohort and vice-versa. Classification performance of TZ models for TZ cancer was further assessed in the TZ validation-cohort. ROC area-under-curve (ROC-AUC) analysis was used to compare models. The univariate parameters with the best classification performance were the normalised T2 signal (T2nSI) within the TZ (ROC-AUC = 0.77) and normalized early contrast-enhanced T1 signal (DCE-nSI) within the PZ (ROC-AUC = 0.79). Performance was not significantly improved by bi-variate/tri-variate modelling. PZ models that contained DCE-nSI performed poorly in classification of TZ cancer. The TZ model based solely on maximum-enhancement poorly classified PZ cancer. LR-models dependent on DCE-MRI parameters alone are not interchangeable between prostatic zones; however, models based exclusively on T2 and/or ADC are more robust for inter-zonal application. (orig.)

  7. Comparison of linear discriminant analysis methods for the classification of cancer based on gene expression data

    Directory of Open Access Journals (Sweden)

    He Miao

    2009-12-01

    Full Text Available Abstract Background More studies based on gene expression data have been reported in great detail, however, one major challenge for the methodologists is the choice of classification methods. The main purpose of this research was to compare the performance of linear discriminant analysis (LDA and its modification methods for the classification of cancer based on gene expression data. Methods The classification performance of linear discriminant analysis (LDA and its modification methods was evaluated by applying these methods to six public cancer gene expression datasets. These methods included linear discriminant analysis (LDA, prediction analysis for microarrays (PAM, shrinkage centroid regularized discriminant analysis (SCRDA, shrinkage linear discriminant analysis (SLDA and shrinkage diagonal discriminant analysis (SDDA. The procedures were performed by software R 2.80. Results PAM picked out fewer feature genes than other methods from most datasets except from Brain dataset. For the two methods of shrinkage discriminant analysis, SLDA selected more genes than SDDA from most datasets except from 2-class lung cancer dataset. When comparing SLDA with SCRDA, SLDA selected more genes than SCRDA from 2-class lung cancer, SRBCT and Brain dataset, the result was opposite for the rest datasets. The average test error of LDA modification methods was lower than LDA method. Conclusions The classification performance of LDA modification methods was superior to that of traditional LDA with respect to the average error and there was no significant difference between theses modification methods.

  8. High dimensional multiclass classification with applications to cancer diagnosis

    DEFF Research Database (Denmark)

    Vincent, Martin

    Probabilistic classifiers are introduced and it is shown that the only regular linear probabilistic classifier with convex risk is multinomial regression. Penalized empirical risk minimization is introduced and used to construct supervised learning methods for probabilistic classifiers. A sparse...... group lasso penalized approach to high dimensional multinomial classification is presented. On different real data examples it is found that this approach clearly outperforms multinomial lasso in terms of error rate and features included in the model. An efficient coordinate descent algorithm...

  9. A novel subtype classification and risk of breast cancer by histone modification profiling.

    Science.gov (United States)

    Chen, Xiaohua; Hu, Hanyang; He, Lin; Yu, Xueyuan; Liu, Xiangyu; Zhong, Rong; Shu, Maoguo

    2016-06-01

    Breast cancer has been classified into several intrinsic molecular subtypes on the basis of genetic and epigenetic factors. However, knowledge about histone modifications that contribute to the classification and development of biologically distinct breast cancer subtypes remains limited. Here we compared the genome-wide binding patterns of H3K4me3 and H3K27me3 between human mammary epithelial cells and three breast cancer cell lines representing the luminal, HER2, and basal subtypes. We characterized thousands of unique binding events as well as bivalent chromatin signatures unique to each cancer subtype, which were involved in different epigenetic regulation programs and signaling pathways in breast cancer progression. Genes linked to the unique histone mark features exhibited subtype-specific expression patterns, both in cancer cell lines and primary tumors, some of which were confirmed by qPCR in our primary cancer samples. Finally, histone mark-based gene classifiers were significantly correlated with relapse-free survival outcomes in patients. In summary, we have provided a valuable resource for the identification of novel biomarkers of subtype classification and clinical prognosis evaluation in breast cancers. PMID:27178334

  10. A Hybrid Reduction Approach for Enhancing Cancer Classification of Microarray Data

    Directory of Open Access Journals (Sweden)

    Abeer M. Mahmoud

    2014-10-01

    Full Text Available This paper presents a novel hybrid machine learning (MLreduction approach to enhance cancer classification accuracy of microarray data based on two ML gene ranking techniques (T-test and Class Separability (CS. The proposed approach is integrated with two ML classifiers; K-nearest neighbor (KNN and support vector machine (SVM; for mining microarray gene expression profiles. Four public cancer microarray databases are used for evaluating the proposed approach and successfully accomplish the mining process. These are Lymphoma, Leukemia SRBCT, and Lung Cancer. The strategy to select genes only from the training samples and totally excluding the testing samples from the classifier building process is utilized for more accurate and validated results. Also, the computational experiments are illustrated in details and comprehensively presented with literature related results. The results showed that the proposed reduction approach reached promising results of the number of genes supplemented to the classifiers as well as the classification accuracy.

  11. Cancer screening in the United States, 2013: a review of current American Cancer Society guidelines, current issues in cancer screening, and new guidance on cervical cancer screening and lung cancer screening.

    Science.gov (United States)

    Smith, Robert A; Brooks, Durado; Cokkinides, Vilma; Saslow, Debbie; Brawley, Otis W

    2013-01-01

    Each year the American Cancer Society (ACS) publishes a summary of its recommendations for early cancer detection, a report on data and trends in cancer screening rates, and select issues related to cancer screening. In this issue of the journal, current ACS cancer screening guidelines are summarized, as are updated guidelines on cervical cancer screening and lung cancer screening with low-dose helical computed tomography. The latest data on the use of cancer screening from the National Health Interview Survey also are described, as are several issues related to screening coverage under the Patient Protection and Affordable Care Act of 2010.

  12. Update on epidemiology classification, and management of thyroid cancer

    Directory of Open Access Journals (Sweden)

    Heitham Gheriani

    2006-06-01

    Full Text Available Thyroid cancer represents approximately 0.5–1% of all human malignancy1. In the UK the incidence of thyroid cancer is 2-3 per 100,000 populations 2. In geographical areas of low iodine intake and in areas exposed to nuclear disasters the incidence of thyroid cancer is higher. Benign thyroid conditions are much more common. In the UK approximately 8 % of the population have nodular thyroid disease2. Nodular thyroid disease increases with age and is also more common in females and in geographical areas of low iodine intake. Primary thyroid malignancy can be broadly divided into 2 groups. The first group, which generally have much better prognosis, are the well-differentiated thyroid carcinoma, which includes papillary carcinoma, follicular carcinoma and Hürthle cell tumours. The second group includes the poorly differentiated thyroid carcinoma like medullary thyroid carcinoma and the anaplastic thyroid carcinoma. Other rare tumours such as sarcomas, lymphomas and the extremely rare primary squamous cell carcinoma of the thyroid should be included in the second group. Secondary or metastatic thyroid cancer can be from breast, lung, colon and kidney malignancies.

  13. Call for a Computer-Aided Cancer Detection and Classification Research Initiative in Oman.

    Science.gov (United States)

    Mirzal, Andri; Chaudhry, Shafique Ahmad

    2016-01-01

    Cancer is a major health problem in Oman. It is reported that cancer incidence in Oman is the second highest after Saudi Arabia among Gulf Cooperation Council countries. Based on GLOBOCAN estimates, Oman is predicted to face an almost two-fold increase in cancer incidence in the period 2008-2020. However, cancer research in Oman is still in its infancy. This is due to the fact that medical institutions and infrastructure that play central roles in data collection and analysis are relatively new developments in Oman. We believe the country requires an organized plan and efforts to promote local cancer research. In this paper, we discuss current research progress in cancer diagnosis using machine learning techniques to optimize computer aided cancer detection and classification (CAD). We specifically discuss CAD using two major medical data, i.e., medical imaging and microarray gene expression profiling, because medical imaging like mammography, MRI, and PET have been widely used in Oman for assisting radiologists in early cancer diagnosis and microarray data have been proven to be a reliable source for differential diagnosis. We also discuss future cancer research directions and benefits to Oman economy for entering the cancer research and treatment business as it is a multi-billion dollar industry worldwide. PMID:27268600

  14. Cancer screening in the United States, 2015: a review of current American cancer society guidelines and current issues in cancer screening.

    Science.gov (United States)

    Smith, Robert A; Manassaram-Baptiste, Deana; Brooks, Durado; Doroshenk, Mary; Fedewa, Stacey; Saslow, Debbie; Brawley, Otis W; Wender, Richard

    2015-01-01

    Each year, the American Cancer Society (ACS) publishes a summary of its guidelines for early cancer detection along with a report on data and trends in cancer screening rates and select issues related to cancer screening. In this issue of the journal, we summarize current ACS cancer screening guidelines. The latest data on utilization of cancer screening from the National Health Interview Survey (NHIS) also is described, as are several issues related to screening coverage under the Affordable Care Act, including the expansion of the Medicaid program.

  15. Contemporary Quality of Life Issues Affecting Gynecologic Cancer Survivors

    OpenAIRE

    Carter, Jeanne; Penson, Richard; Barakat, Richard; Wenzel, Lari

    2011-01-01

    Gynecologic cancers account for approximately 11% of the newly diagnosed cancers in women in the United States and 18% in the world.1 The most common gynecologic malignancies occur in the uterus and endometrium (53%), ovary (25%), and cervix (14%).2 Cervical cancer is most prevalent in premenopausal women, during their childbearing years, whereas uterine and ovarian cancers tend to present in the perimenopausal or menopausal period. Vaginal and vulvar cancers and malignancies arising from ges...

  16. From Molecular Classification to Targeted Therapeutics: The Changing Face of Systemic Therapy in Metastatic Gastroesophageal Cancer

    Directory of Open Access Journals (Sweden)

    Adrian Murphy

    2015-01-01

    Full Text Available Histological classification of adenocarcinoma or squamous cell carcinoma for esophageal cancer or using the Lauren classification for intestinal and diffuse type gastric cancer has limited clinical utility in the management of advanced disease. Germline mutations in E-cadherin (CDH1 or mismatch repair genes (Lynch syndrome were identified many years ago but given their rarity, the identification of these molecular alterations does not substantially impact treatment in the advanced setting. Recent molecular profiling studies of upper GI tumors have added to our knowledge of the underlying biology but have not led to an alternative classification system which can guide clinician’s therapeutic decisions. Recently the Cancer Genome Atlas Research Network has proposed four subtypes of gastric cancer dividing tumors into those positive for Epstein-Barr virus, microsatellite unstable tumors, genomically stable tumors, and tumors with chromosomal instability. Unfortunately to date, many phase III clinical trials involving molecularly targeted agents have failed to meet their survival endpoints due to their use in unselected populations. Future clinical trials should utilize molecular profiling of individual tumors in order to determine the optimal use of targeted therapies in preselected patients.

  17. From molecular classification to targeted therapeutics: the changing face of systemic therapy in metastatic gastroesophageal cancer.

    Science.gov (United States)

    Murphy, Adrian; Kelly, Ronan J

    2015-01-01

    Histological classification of adenocarcinoma or squamous cell carcinoma for esophageal cancer or using the Lauren classification for intestinal and diffuse type gastric cancer has limited clinical utility in the management of advanced disease. Germline mutations in E-cadherin (CDH1) or mismatch repair genes (Lynch syndrome) were identified many years ago but given their rarity, the identification of these molecular alterations does not substantially impact treatment in the advanced setting. Recent molecular profiling studies of upper GI tumors have added to our knowledge of the underlying biology but have not led to an alternative classification system which can guide clinician's therapeutic decisions. Recently the Cancer Genome Atlas Research Network has proposed four subtypes of gastric cancer dividing tumors into those positive for Epstein-Barr virus, microsatellite unstable tumors, genomically stable tumors, and tumors with chromosomal instability. Unfortunately to date, many phase III clinical trials involving molecularly targeted agents have failed to meet their survival endpoints due to their use in unselected populations. Future clinical trials should utilize molecular profiling of individual tumors in order to determine the optimal use of targeted therapies in preselected patients.

  18. Isoflavones and Prostate Cancer: A Review of Some Critical Issues

    Institute of Scientific and Technical Information of China (English)

    Hong-Yi Zhang; Jie Cui; Ye Zhang; Zhen-Long Wang; Tie Chong; Zi-Ming Wang

    2016-01-01

    Objective: The purpose of this review is to discuss some critical issues of isoflavones protective against the development of prostate cancer (PCa).Data Sources: Data cited in this review were obtained primarily from PubMed and Embase from 1975 to 2015.Study Selection: Articles were selected with the search terms "isoflavone", "Phytoestrogen", "soy", "genistin", and "PCa".Results: Isoflavones do not play an important role on prostate-specific antigen levels reduction in PCa patients or healthy men.The effect ofisoflavones on sex hormone levels and PCa risk may be determined by equol converting bacteria in the intestine, specific polymorphic variation and concentrations of isoflavones.The intake of various types of phytoestrogens with lower concentrations in the daily diet may produce synergistic effects against PCa.Moreover, prostate tissue may concentrate isoflavones to potentially anti-carcinogenic levels.In addition, it is noteworthy that isoflavones may act as an agonist in PCa.Conclusions: Isoflavones play a protective role against the development of PCa.However, careful consideration should be given when isoflavones are used in the prevention and treatment of PCa.

  19. Men with cancer : psychosocial issues, health behaviours, coping and help seeking

    OpenAIRE

    Dale, Hannah

    2016-01-01

    Background: A range of factors contribute to men with cancer having worse mortality and morbidity rates than women. The research specifically focused on psychosocial issues and health behaviours in men with cancer, and factors affecting help seeking behaviour. Methods: A mixed-methods study recruited adult men with cancer in the East of Scotland. The quantitative cross-sectional study explored psychosocial issues, health behaviours, and desire for support. Data from the Scottish Longitudin...

  20. Cancer Pain: A Critical Review of Mechanism-based Classification and Physical Therapy Management in Palliative Care.

    Science.gov (United States)

    Kumar, Senthil P

    2011-05-01

    Mechanism-based classification and physical therapy management of pain is essential to effectively manage painful symptoms in patients attending palliative care. The objective of this review is to provide a detailed review of mechanism-based classification and physical therapy management of patients with cancer pain. Cancer pain can be classified based upon pain symptoms, pain mechanisms and pain syndromes. Classification based upon mechanisms not only addresses the underlying pathophysiology but also provides us with an understanding behind patient's symptoms and treatment responses. Existing evidence suggests that the five mechanisms - central sensitization, peripheral sensitization, sympathetically maintained pain, nociceptive and cognitive-affective - operate in patients with cancer pain. Summary of studies showing evidence for physical therapy treatment methods for cancer pain follows with suggested therapeutic implications. Effective palliative physical therapy care using a mechanism-based classification model should be tailored to suit each patient's findings, using a biopsychosocial model of pain. PMID:21976851

  1. Cancer pain: A critical review of mechanism-based classification and physical therapy management in palliative care

    Directory of Open Access Journals (Sweden)

    Senthil P Kumar

    2011-01-01

    Full Text Available Mechanism-based classification and physical therapy management of pain is essential to effectively manage painful symptoms in patients attending palliative care. The objective of this review is to provide a detailed review of mechanism-based classification and physical therapy management of patients with cancer pain. Cancer pain can be classified based upon pain symptoms, pain mechanisms and pain syndromes. Classification based upon mechanisms not only addresses the underlying pathophysiology but also provides us with an understanding behind patient′s symptoms and treatment responses. Existing evidence suggests that the five mechanisms - central sensitization, peripheral sensitization, sympathetically maintained pain, nociceptive and cognitive-affective - operate in patients with cancer pain. Summary of studies showing evidence for physical therapy treatment methods for cancer pain follows with suggested therapeutic implications. Effective palliative physical therapy care using a mechanism-based classification model should be tailored to suit each patient′s findings, using a biopsychosocial model of pain.

  2. Lung Cancer Early Diagnosis Using Some Data Mining Classification Techniques: A Survey

    Directory of Open Access Journals (Sweden)

    Thangaraju P

    2014-06-01

    Full Text Available Data mining is the process of analyzing data from different perspectives and summarizing it into useful information. Data mining is primarily used to this requirement thus finding its applications in diverse fields such as retail, financial, communication, marketing organizations and medicine. Data Mining plays an important role in healthcare organization because with the growth of population and dangerous deadly diseases like Cancer, SARS, Leprosy, HIV etc, Lung cancer is one of the most dangerous disease. This survey for appropriate medical image mining, Data Preprocessing, Feature Extraction, rule generation and classification, it provides basic framework for further improvement in medical diagnosis.

  3. Long-term Prostate-specific Antigen Velocity in Improved Classification of Prostate Cancer Risk and Mortality

    DEFF Research Database (Denmark)

    Ørsted, David Dynnes; Bojesen, Stig E; Kamstrup, Pia R;

    2013-01-01

    BACKGROUND: It remains unclear whether adding long-term prostate-specific antigen velocity (PSAV) to baseline PSA values improves classification of prostate cancer (PCa) risk and mortality in the general population. OBJECTIVE: To determine whether long-term PSAV improves classification of PCa risk...

  4. Apparent diffusion coefficient value of gastric cancer by diffusion-weighted imaging: Correlations with the histological differentiation and Lauren classification

    Energy Technology Data Exchange (ETDEWEB)

    Liu, Song, E-mail: songliu532909756@gmail.com [Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China); Guan, Wenxian, E-mail: wenxianguan123@126.com [Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China); Wang, Hao, E-mail: wanghao20140525@126.com [Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China); Pan, Liang, E-mail: panliang2014@126.com [Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China); Zhou, Zhuping, E-mail: zhupingzhou@126.com [Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China); Yu, Haiping, E-mail: haipingyu2012@126.com [Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China); Liu, Tian, E-mail: tianliu2014@126.com [Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322 (United States); Yang, Xiaofeng, E-mail: xiaofengyang2014@126.com [Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322 (United States); He, Jian, E-mail: hjxueren@126.com [Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China); Zhou, Zhengyang, E-mail: zyzhou@nju.edu.cn [Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008 (China)

    2014-12-15

    Highlights: • Gastric cancers’ ADC values were significantly lower than normal gastric wall. • Gastric adenocarcinomas with different differentiation had different ADC values. • Gastric adenocarcinomas’ ADC values correlated with histologic differentiations. • Gastric cancers’ ADC values correlated with Lauren classifications. • Mean ADC value was better than min ADC value in characterizing gastric cancers. - Abstract: Objective: The purpose of this study was to evaluate the correlations between histological differentiation and Lauren classification of gastric cancer and the apparent diffusion coefficient (ADC) value of diffusion weighted imaging (DWI). Materials and methods: Sixty-nine patients with gastric cancer lesions underwent preoperative magnetic resonance imaging (MRI) (3.0T) and surgical resection. DWI was obtained with a single-shot, echo-planar imaging sequence in the axial plane (b values: 0 and 1000 s/mm{sup 2}). Mean and minimum ADC values were obtained for each gastric cancer and normal gastric walls by two radiologists, who were blinded to the histological findings. Histological type, degree of differentiation and Lauren classification of each resected specimen were determined by one pathologist. Mean and minimum ADC values of gastric cancers with different histological types, degrees of differentiation and Lauren classifications were compared. Correlations between ADC values and histological differentiation and Lauren classification were analyzed. Results: The mean and minimum ADC values of gastric cancers, as a whole and separately, were significantly lower than those of normal gastric walls (all p values <0.001). There were significant differences in the mean and minimum ADC values among gastric cancers with different histological types, degrees of differentiation and Lauren classifications (p < 0.05). Mean and minimum ADC values correlated significantly (all p < 0.001) with histological differentiation (r = 0.564, 0.578) and

  5. Issues of hope and faith in the cancer patient.

    Science.gov (United States)

    Carni, E

    1988-12-01

    Akira Kurosawa's 1952 film about a man with a terminal gastric cancer introduces a discussion of hope and faith in the oncology patient. A psychodynamic relationship between hope and faith is explored, using Lawrence LeShan's research in cancer psychotherapy and Erik Erikson's lifespan developmental theory. LeShan describes a cancer personality characterized by hopeless despair, while Erikson formulates a psychogenetic framework for the development of hope and despair. Hope and faith are linked through the individual's earliest strivings toward basic trust in the world and his or her own self-efficacy. Accordingly, cancer psychotherapy may aim at restoring adult patients' faith in life and inner creative resources. PMID:24302437

  6. Current perspectives and emerging issues on cancer rehabilitation.

    Science.gov (United States)

    Stubblefield, Michael D; Hubbard, Gill; Cheville, Andrea; Koch, Uwe; Schmitz, Kathryn H; Dalton, Susanne Oksbjerg

    2013-06-01

    Cancer rehabilitation is a rapidly emerging and evolving medical field in both Europe and the United States, in large part because of increases in the number of cancer survivors. Although few argue with the need to restore function and quality of life to patients affected by cancer and its treatments, differences exist between European countries with regard to the funding, accessibility, and even the definition of cancer rehabilitation services. In the United States, there is tremendous variability in the provision of rehabilitation services resulting from a variety of factors, including a lack of highly trained cancer rehabilitation physicians and therapists as well as a lack of comprehensive cancer rehabilitation programs, even at the majority of top cancer centers. Although studies evaluating the effectiveness of rehabilitation programs in the cancer setting, particularly exercise, have influenced clinical decision-making in both Europe and the United States for some time, this emerging evidence base also is now starting to influence guideline and policy making. Coordinated research efforts are essential to establish a robust framework to support future investigation and establish shared initiatives. Determining the best way forward for cancer survivors will require investment in large-scale prospective cohort studies that sufficiently describe their rehabilitation needs through the continuum of the survivorship experience.

  7. Molecular voting for glioma classification reflecting heterogeneity in the continuum of cancer progression.

    Science.gov (United States)

    Fuller, Gregory N; Mircean, Cristian; Tabus, Ioan; Taylor, Ellen; Sawaya, Raymond; Bruner, Janet M; Shmulevich, Ilya; Zhang, Wei

    2005-09-01

    Gliomas, the most common brain tumors, are generally categorized into two lineages (astrocytic and oligodendrocytic) and further classified as low-grade (astrocytoma and oligodendroglioma), mid-grade (anaplastic astrocytoma and anaplastic oligodendroglioma), and high-grade (glioblastoma multiforme) based on morphological features. A strict classification scheme has limitations because a specific glioma can be at any stage of the continuum of cancer progression and may contain mixed features. Thus, a more comprehensive classification based on molecular signatures may reflect the biological nature of specific tumors more accurately. In this study, we used microarray technology to profile the gene expression of 49 human brain tumors and applied the k-nearest neighbor algorithm for classification. We first trained the classification gene set with 19 of the most typical glioma cases and selected a set of genes that provide the lowest cross-validation classification error with k=5. We then applied this gene set to the 30 remaining cases, including several that do not belong to gliomas such as atypical meningioma. The results showed that not only does the algorithm correctly classify most of the gliomas, but the detailed voting results also provide more subtle information regarding the molecular similarities to neighboring classes. For atypical meningioma, the voting was equally split among the four classes, indicating a difficulty in placement of meningioma into the four classes of gliomas. Thus, the actual voting results, which are typically used only to decide the winning class label in k-nearest neighbor algorithms, provide a useful method for gaining deeper insight into the stage of a tumor in the continuum of cancer development.

  8. Profiling alternatively spliced mRNA isoforms for prostate cancer classification

    Directory of Open Access Journals (Sweden)

    Fan Jian-Bing

    2006-04-01

    Full Text Available Abstract Background Prostate cancer is one of the leading causes of cancer illness and death among men in the United States and world wide. There is an urgent need to discover good biomarkers for early clinical diagnosis and treatment. Previously, we developed an exon-junction microarray-based assay and profiled 1532 mRNA splice isoforms from 364 potential prostate cancer related genes in 38 prostate tissues. Here, we investigate the advantage of using splice isoforms, which couple transcriptional and splicing regulation, for cancer classification. Results As many as 464 splice isoforms from more than 200 genes are differentially regulated in tumors at a false discovery rate (FDR of 0.05. Remarkably, about 30% of genes have isoforms that are called significant but do not exhibit differential expression at the overall mRNA level. A support vector machine (SVM classifier trained on 128 signature isoforms can correctly predict 92% of the cases, which outperforms the classifier using overall mRNA abundance by about 5%. It is also observed that the classification performance can be improved using multivariate variable selection methods, which take correlation among variables into account. Conclusion These results demonstrate that profiling of splice isoforms is able to provide unique and important information which cannot be detected by conventional microarrays.

  9. A NEW FUNCTIONAL CLASSIFICATION OF STOMACH CANCER AND ITS PATHOBIOLOGICAL AND CLINICAL SIGNIFICANCE

    Institute of Scientific and Technical Information of China (English)

    辛彦; 赵风凯; 宫伟; 王艳萍; 张荫昌; 闫瑞方

    1994-01-01

    The functional differentiations of stomach cancer specimens from 121patients were investigated by enzyme-,mucin-,affinity-and immunohistochemical methods,and the stomach cancers were divided into five functionally differentiated types:1)Absorptive Function Differentiation Type (AFDT),19.8%;2)Mucin Secreting Func-tion Differentiation Type (MSFDT),24.0%;3)Absorptive and Mucin-Producing Function Differentiation Type (AMPFDT),47.1%;4)Special Function Differentiation Type (SFDT),0.8%;and 5)Non-Function Differ-entiation Type(NFDT),8.3%.The results indicate that stomach cancer tissues of the same histological type of -ten display differing functional differentiation,and these functionally differentiated types have different invasive and metastatic characteristics.In addition,the functionally differentiated types have particular organic affinities of metastasis and different clinical prognoses.This study suggests that this new functional classification may supple-ment histological classification.The mechanisms of liver and ovary metastases of stomach cancer are also dis-cussed.

  10. Improved prognostic classification of breast cancer defined by antagonistic activation patterns of immune response pathway modules

    International Nuclear Information System (INIS)

    Elucidating the activation pattern of molecular pathways across a given tumour type is a key challenge necessary for understanding the heterogeneity in clinical response and for developing novel more effective therapies. Gene expression signatures of molecular pathway activation derived from perturbation experiments in model systems as well as structural models of molecular interactions ('model signatures') constitute an important resource for estimating corresponding activation levels in tumours. However, relatively few strategies for estimating pathway activity from such model signatures exist and only few studies have used activation patterns of pathways to refine molecular classifications of cancer. Here we propose a novel network-based method for estimating pathway activation in tumours from model signatures. We find that although the pathway networks inferred from cancer expression data are highly consistent with the prior information contained in the model signatures, that they also exhibit a highly modular structure and that estimation of pathway activity is dependent on this modular structure. We apply our methodology to a panel of 438 estrogen receptor negative (ER-) and 785 estrogen receptor positive (ER+) breast cancers to infer activation patterns of important cancer related molecular pathways. We show that in ER negative basal and HER2+ breast cancer, gene expression modules reflecting T-cell helper-1 (Th1) and T-cell helper-2 (Th2) mediated immune responses play antagonistic roles as major risk factors for distant metastasis. Using Boolean interaction Cox-regression models to identify non-linear pathway combinations associated with clinical outcome, we show that simultaneous high activation of Th1 and low activation of a TGF-beta pathway module defines a subtype of particularly good prognosis and that this classification provides a better prognostic model than those based on the individual pathways. In ER+ breast cancer, we find that

  11. Improved prognostic classification of breast cancer defined by antagonistic activation patterns of immune response pathway modules

    Directory of Open Access Journals (Sweden)

    El-Ashry Dorraya

    2010-11-01

    Full Text Available Abstract Background Elucidating the activation pattern of molecular pathways across a given tumour type is a key challenge necessary for understanding the heterogeneity in clinical response and for developing novel more effective therapies. Gene expression signatures of molecular pathway activation derived from perturbation experiments in model systems as well as structural models of molecular interactions ("model signatures" constitute an important resource for estimating corresponding activation levels in tumours. However, relatively few strategies for estimating pathway activity from such model signatures exist and only few studies have used activation patterns of pathways to refine molecular classifications of cancer. Methods Here we propose a novel network-based method for estimating pathway activation in tumours from model signatures. We find that although the pathway networks inferred from cancer expression data are highly consistent with the prior information contained in the model signatures, that they also exhibit a highly modular structure and that estimation of pathway activity is dependent on this modular structure. We apply our methodology to a panel of 438 estrogen receptor negative (ER- and 785 estrogen receptor positive (ER+ breast cancers to infer activation patterns of important cancer related molecular pathways. Results We show that in ER negative basal and HER2+ breast cancer, gene expression modules reflecting T-cell helper-1 (Th1 and T-cell helper-2 (Th2 mediated immune responses play antagonistic roles as major risk factors for distant metastasis. Using Boolean interaction Cox-regression models to identify non-linear pathway combinations associated with clinical outcome, we show that simultaneous high activation of Th1 and low activation of a TGF-beta pathway module defines a subtype of particularly good prognosis and that this classification provides a better prognostic model than those based on the individual pathways

  12. Psychological Issues in Cancer Genetics: Current Research and Future Priorities.

    Science.gov (United States)

    Hopwood, Penelope

    1997-01-01

    Data concerning the psychological impact of high risk of cancer are reviewed, including implications of genetic testing, breast screening,and accuracy of women's risk estimates. Work in progress on prophylactic mastectomy and chemoprevention is reviewed. Research on cancer families, and interventions and prevention strategies for high-risk…

  13. Students with Cancer: Presenting Issues and Effective Solutions

    Science.gov (United States)

    Root, Melissa M.; Bray, Melissa A.; Maykel, Cheryl; Cross, Karen; Shankar, Nilani L.; Theodore, Lea A.

    2016-01-01

    Practitioners working with children diagnosed with cancer in the school environment must consider several facets in order to effectively work with the child and family. The remission rate for children with cancer is relatively high, so one must consider whether the child is anticipating treatment, actively in treatment, or posttreatment when one…

  14. 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.

  15. 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.

  16. Artificial neural networks as classification and diagnostic tools for lymph node-negative breast cancers

    Energy Technology Data Exchange (ETDEWEB)

    Eswari J, Satya; Chandrakar, Neha [National Institute of Technology Raipur, Raipur (India)

    2016-04-15

    Artificial neural networks (ANNs) can be used to develop a technique to classify lymph node negative breast cancer that is prone to distant metastases based on gene expression signatures. The neural network used is a multilayered feed forward network that employs back propagation algorithm. Once trained with DNA microarraybased gene expression profiles of genes that were predictive of distant metastasis recurrence of lymph node negative breast cancer, the ANNs became capable of correctly classifying all samples and recognizing the genes most appropriate to the classification. To test the ability of the trained ANN models in recognizing lymph node negative breast cancer, we analyzed additional idle samples that were not used beforehand for the training procedure and obtained the correctly classified result in the validation set. For more substantial result, bootstrapping of training and testing dataset was performed as external validation. This study illustrates the potential application of ANN for breast tumor diagnosis and the identification of candidate targets in patients for therapy.

  17. High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies

    Science.gov (United States)

    Xu, Jun; Sparks, Rachel; Janowczyk, Andrew; Tomaszewski, John E.; Feldman, Michael D.; Madabhushi, Anant

    We present a high-throughput computer-aided system for the segmentation and classification of glands in high resolution digitized images of needle core biopsy samples of the prostate. It will allow for rapid and accurate identification of suspicious regions on these samples. The system includes the following three modules: 1) a hierarchical frequency weighted mean shift normalized cut (HNCut) for initial detection of glands; 2) a geodesic active contour (GAC) model for gland segmentation; and 3) a diffeomorphic based similarity (DBS) feature extraction for classification of glands as benign or cancerous. HNCut is a minimally supervised color based detection scheme that combines the frequency weighted mean shift and normalized cuts algorithms to detect the lumen region of candidate glands. A GAC model, initialized using the results of HNCut, uses a color gradient based edge detection function for accurate gland segmentation. Lastly, DBS features are a set of morphometric features derived from the nonlinear dimensionality reduction of a dissimilarity metric between shape models. The system integrates these modules to enable the rapid detection, segmentation, and classification of glands on prostate biopsy images. Across 23 H & E stained prostate studies of whole-slides, 105 regions of interests (ROIs) were selected for the evaluation of segmentation and classification. The segmentation results were evaluated on 10 ROIs and compared to manual segmentation in terms of mean distance (2.6 ±0.2 pixels), overlap (62±0.07%), sensitivity (85±0.01%), specificity (94±0.003%) and positive predictive value (68±0.08%). Over 105 ROIs, the classification accuracy for glands automatically segmented was (82.5 ±9.10%) while the accuracy for glands manually segmented was (82.89 ±3.97%); no statistically significant differences were identified between the classification results.

  18. Use of multivariate analysis to suggest a new molecular classification of colorectal cancer

    Science.gov (United States)

    Domingo, Enric; Ramamoorthy, Rajarajan; Oukrif, Dahmane; Rosmarin, Daniel; Presz, Michal; Wang, Haitao; Pulker, Hannah; Lockstone, Helen; Hveem, Tarjei; Cranston, Treena; Danielsen, Havard; Novelli, Marco; Davidson, Brian; Xu, Zheng-Zhou; Molloy, Peter; Johnstone, Elaine; Holmes, Christopher; Midgley, Rachel; Kerr, David; Sieber, Oliver; Tomlinson, Ian

    2013-01-01

    Abstract Molecular classification of colorectal cancer (CRC) is currently based on microsatellite instability (MSI), KRAS or BRAF mutation and, occasionally, chromosomal instability (CIN). Whilst useful, these categories may not fully represent the underlying molecular subgroups. We screened 906 stage II/III CRCs from the VICTOR clinical trial for somatic mutations. Multivariate analyses (logistic regression, clustering, Bayesian networks) identified the primary molecular associations. Positive associations occurred between: CIN and TP53 mutation; MSI and BRAF mutation; and KRAS and PIK3CA mutations. Negative associations occurred between: MSI and CIN; MSI and NRAS mutation; and KRAS mutation, and each of NRAS, TP53 and BRAF mutations. Some complex relationships were elucidated: KRAS and TP53 mutations had both a direct negative association and a weaker, confounding, positive association via TP53–CIN–MSI–BRAF–KRAS. Our results suggested a new molecular classification of CRCs: (1) MSI+ and/or BRAF-mutant; (2) CIN+ and/or TP53– mutant, with wild-type KRAS and PIK3CA; (3) KRAS- and/or PIK3CA-mutant, CIN+, TP53-wild-type; (4) KRAS– and/or PIK3CA-mutant, CIN–, TP53-wild-type; (5) NRAS-mutant; (6) no mutations; (7) others. As expected, group 1 cancers were mostly proximal and poorly differentiated, usually occurring in women. Unexpectedly, two different types of CIN+ CRC were found: group 2 cancers were usually distal and occurred in men, whereas group 3 showed neither of these associations but were of higher stage. CIN+ cancers have conventionally been associated with all three of these variables, because they have been tested en masse. Our classification also showed potentially improved prognostic capabilities, with group 3, and possibly group 1, independently predicting disease-free survival. Copyright © 2012 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd. PMID:23165447

  19. Cancer Biochemistry and Host-Tumor Interactions: A Decimal Classification, (Categories 51.6, 51.7, and 51.8).

    Science.gov (United States)

    Schneider, John H.

    This is a hierarchical decimal classification of information related to cancer biochemistry, to host-tumor interactions (including cancer immunology), and to occurrence of cancer in special types of animals and plants. It is a working draft of categories taken from an extensive classification of many fields of biomedical information. Because the…

  20. Mediterranean Diet and cancer risk: an open issue.

    Science.gov (United States)

    D'Alessandro, Annunziata; De Pergola, Giovanni; Silvestris, Franco

    2016-09-01

    The traditional Mediterranean Diet of the early 1960s meets the characteristics of an anticancer diet defined by the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AIRC). A diet rich of whole grains, pulses, vegetables and fruits, limited in high-calorie foods (foods high in sugar or fat), red meat and foods high in salt, without sugary drinks and processed meat is recommended by the WCRF/AIRC experts to reduce the risk of cancer. The aim of this review was to examine whether Mediterranean Diet is protective or not against cancer risk. Three meta-analyses of cohort studies reported that a high adherence to the Mediterranean Diet significantly reduces the risk of cancer incidence and/or mortality. Nevertheless, the Mediterranean dietary pattern defined in the studies' part of the meta-analyses has qualitative and/or quantitative differences compared to the Mediterranean Diet of the early 1960s. Therefore, the protective role of the Mediterranean Diet against cancer has not definitely been established. In epidemiological studies, a universal definition of the Mediterranean Diet, possibly the traditional Mediterranean Diet of the early 1960s, could be useful to understand the role of this dietary pattern in cancer prevention.

  1. Mediterranean Diet and cancer risk: an open issue.

    Science.gov (United States)

    D'Alessandro, Annunziata; De Pergola, Giovanni; Silvestris, Franco

    2016-09-01

    The traditional Mediterranean Diet of the early 1960s meets the characteristics of an anticancer diet defined by the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AIRC). A diet rich of whole grains, pulses, vegetables and fruits, limited in high-calorie foods (foods high in sugar or fat), red meat and foods high in salt, without sugary drinks and processed meat is recommended by the WCRF/AIRC experts to reduce the risk of cancer. The aim of this review was to examine whether Mediterranean Diet is protective or not against cancer risk. Three meta-analyses of cohort studies reported that a high adherence to the Mediterranean Diet significantly reduces the risk of cancer incidence and/or mortality. Nevertheless, the Mediterranean dietary pattern defined in the studies' part of the meta-analyses has qualitative and/or quantitative differences compared to the Mediterranean Diet of the early 1960s. Therefore, the protective role of the Mediterranean Diet against cancer has not definitely been established. In epidemiological studies, a universal definition of the Mediterranean Diet, possibly the traditional Mediterranean Diet of the early 1960s, could be useful to understand the role of this dietary pattern in cancer prevention. PMID:27251477

  2. Special Issues in Older Women with Breast Cancer.

    Science.gov (United States)

    Hurria, Arti; Muss, Hy

    2015-01-01

    The true face of breast cancer is more commonly that of an older woman. The rapid aging of the US population is contributing to an increasing number of breast cancer cases in older adults today, as well as an increase in the number of breast cancer survivors who carry the long-term side effects of breast cancer treatment. The number one problem facing older women with breast cancer today is that they are not receiving the same benefits from treatment advances as younger women. This disparity in outcomes highlights the great need for studies that specially include older women with breast cancer in order to guide informed decisions regarding the most efficacious treatment options. Novel study designs are needed to fill these gaps in knowledge which include metrics that provide a detailed understanding of the individual beyond chronologic age, and which identify areas of vulnerability for which targeted interventions can be employed. In studying cancer therapeutics in older adults, metrics of success, beyond disease-free and overall survival should be included, such as the feasibility of delivering the therapy, as well as the impact of treatment on functional independence and cognition. Ultimately, this framework will lead to evidence-based "personalized" medicine for the older adult. PMID:26059927

  3. Classification of prostate cancer grade using temporal ultrasound: in vivo feasibility study

    Science.gov (United States)

    Ghavidel, Sahar; Imani, Farhad; Khallaghi, Siavash; Gibson, Eli; Khojaste, Amir; Gaed, Mena; Moussa, Madeleine; Gomez, Jose A.; Siemens, D. Robert; Leveridge, Michael; Chang, Silvia; Fenster, Aaron; Ward, Aaron D.; Abolmaesumi, Purang; Mousavi, Parvin

    2016-03-01

    Temporal ultrasound has been shown to have high classification accuracy in differentiating cancer from benign tissue. In this paper, we extend the temporal ultrasound method to classify lower grade Prostate Cancer (PCa) from all other grades. We use a group of nine patients with mostly lower grade PCa, where cancerous regions are also limited. A critical challenge is to train a classifier with limited aggressive cancerous tissue compared to low grade cancerous tissue. To resolve the problem of imbalanced data, we use Synthetic Minority Oversampling Technique (SMOTE) to generate synthetic samples for the minority class. We calculate spectral features of temporal ultrasound data and perform feature selection using Random Forests. In leave-one-patient-out cross-validation strategy, an area under receiver operating characteristic curve (AUC) of 0.74 is achieved with overall sensitivity and specificity of 70%. Using an unsupervised learning approach prior to proposed method improves sensitivity and AUC to 80% and 0.79. This work represents promising results to classify lower and higher grade PCa with limited cancerous training samples, using temporal ultrasound.

  4. Classification of normal and cancerous lung tissues by electrical impendence tomography.

    Science.gov (United States)

    Gao, Jianling; Yue, Shihong; Chen, Jun; Wang, Huaxiang

    2014-01-01

    Biological tissue impedance spectroscopy can provide rich physiological and pathological information by measuring the variation of the complex impedance of biological tissues under various frequencies of driven current. Electrical Impedance Tomography (EIT) technique can measure the impedance spectroscopy of biological tissue in medical field. Before application, a key problem must be solved on how to generally distinguish normal tissues from the cancerous in terms of measurable EIT data. In this paper, the impedance spectroscopy characteristics of human lung tissue are studied. On the basis of the measured data of 109 lung cancer patients, Cole-Cole Circle radius (CCCR) and the complex modulus are extracted. In terms of the two characteristics, 71.6% and 66.4% samples of cancerous and normal tissues can be correctly classified, respectively. Furthermore, two characteristics of the measured EIT data of each patient consist of a two-dimensional vector and all such vectors comprise a set of vectors. When classifying the vector set, the rate of correctly partitioning normal and cancerous tissues can be raised to 78.2%. The main factors to affect the classification results on normal and cancerous tissues are generally analyzed. The proposed method will play an important role in further working out an efficient and feasible diagnostic method for potential lung cancer patients, and provide theoretical basis and reference data for electrical impedance tomography technology in monitoring pulmonary function.

  5. SELDI-TOF Serum Profiling for Prognostic and Diagnostic Classification of Breast Cancers

    Directory of Open Access Journals (Sweden)

    Christine Laronga

    2004-01-01

    Full Text Available Surface enhanced laser desorption/ionization (SELDI time-of-flight mass spectrometry has emerged as a successful tool for serum based detection and differentiation of many cancer types, including breast cancers. In this study, we have applied the SELDI technology to evaluate three potential applications that could extend the effectiveness of established procedures and biomarkers used for prognostication of breast cancers. Paired serum samples obtained from women with breast cancers prior to surgery and post-surgery (6–9 mos. were examined. In 14/16 post-treatment patients, serum protein profiles could be used to distinguish these samples from the pre-treatment cancer samples. When compared to serum samples from normal healthy women, 11 of these post-treatment samples retained global protein profiles not found in healthy women, including five low-mass proteins that remained elevated in both pre-treatment and post-treatment serum groups. In another pilot study, serum profiles were compared for a group of 30 women who were known BRCA-1 mutation carriers, half of whom subsequently developed breast cancer within three years of the sample procurement. SELDI protein profiling accurately classified 13/15 women with BRCA-1 breast cancers from the 15 non-cancer BRCA-1 carriers. Additionally, the ability of SELDI to distinguish between the serum profiles from sentinel lymph node positive and sentinel lymph node negative patients was evaluated. In sentinel lymph node positive samples, 22/27 samples were correctly classified, in comparison to the correct classification of 55/71 sentinel lymph node negative samples. These initial results indicate the utility of protein profiling approaches for developing new diagnostic and prognostic assays for breast cancers.

  6. Prediction of Depression in Cancer Patients With Different Classification Criteria, Linear Discriminant Analysis versus Logistic Regression

    Science.gov (United States)

    Shayan, Zahra; Mezerji, Naser Mohammad Gholi; Shayan, Leila; Naseri, Parisa

    2016-01-01

    Background: Logistic regression (LR) and linear discriminant analysis (LDA) are two popular statistical models for prediction of group membership. Although they are very similar, the LDA makes more assumptions about the data. When categorical and continuous variables used simultaneously, the optimal choice between the two models is questionable. In most studies, classification error (CE) is used to discriminate between subjects in several groups, but this index is not suitable to predict the accuracy of the outcome. The present study compared LR and LDA models using classification indices. Methods: This cross-sectional study selected 243 cancer patients. Sample sets of different sizes (n = 50, 100, 150, 200, 220) were randomly selected and the CE, B, and Q classification indices were calculated by the LR and LDA models. Results: CE revealed the a lack of superiority for one model over the other, but the results showed that LR performed better than LDA for the B and Q indices in all situations. No significant effect for sample size on CE was noted for selection of an optimal model. Assessment of the accuracy of prediction of real data indicated that the B and Q indices are appropriate for selection of an optimal model. Conclusion: The results of this study showed that LR performs better in some cases and LDA in others when based on CE. The CE index is not appropriate for classification, although the B and Q indices performed better and offered more efficient criteria for comparison and discrimination between groups.

  7. Diagnostic Classification of Normal Persons and Cancer Patients by Using Neural Network Based on Trace Metal Contents in Serum Samples

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Artificial neural network with the back-propagation(BP-ANN) approach was applied to the classification of normal persons and various cancer patients based on the elemental contents in serum samples. This method was verified by the cross-validation method. The effects of the net work parameters were investigated and the related problems were discussed. The samples of 72, 42, and 52 for lung, liver, and stomach cancer patients and normal persons, respectively, were used for the classification study. About 95% of the samples can be classified correctly. There fore, the method can be used as an auxiliary means of the diagnosis of cancer.

  8. Genetic Bee Colony (GBC) algorithm: A new gene selection method for microarray cancer classification.

    Science.gov (United States)

    Alshamlan, Hala M; Badr, Ghada H; Alohali, Yousef A

    2015-06-01

    Naturally inspired evolutionary algorithms prove effectiveness when used for solving feature selection and classification problems. Artificial Bee Colony (ABC) is a relatively new swarm intelligence method. In this paper, we propose a new hybrid gene selection method, namely Genetic Bee Colony (GBC) algorithm. The proposed algorithm combines the used of a Genetic Algorithm (GA) along with Artificial Bee Colony (ABC) algorithm. The goal is to integrate the advantages of both algorithms. The proposed algorithm is applied to a microarray gene expression profile in order to select the most predictive and informative genes for cancer classification. In order to test the accuracy performance of the proposed algorithm, extensive experiments were conducted. Three binary microarray datasets are use, which include: colon, leukemia, and lung. In addition, another three multi-class microarray datasets are used, which are: SRBCT, lymphoma, and leukemia. Results of the GBC algorithm are compared with our recently proposed technique: mRMR when combined with the Artificial Bee Colony algorithm (mRMR-ABC). We also compared the combination of mRMR with GA (mRMR-GA) and Particle Swarm Optimization (mRMR-PSO) algorithms. In addition, we compared the GBC algorithm with other related algorithms that have been recently published in the literature, using all benchmark datasets. The GBC algorithm shows superior performance as it achieved the highest classification accuracy along with the lowest average number of selected genes. This proves that the GBC algorithm is a promising approach for solving the gene selection problem in both binary and multi-class cancer classification. PMID:25880524

  9. Gene selection and classification for cancer microarray data based on machine learning and similarity measures

    Directory of Open Access Journals (Sweden)

    Liu Qingzhong

    2011-12-01

    Full Text Available Abstract Background Microarray data have a high dimension of variables and a small sample size. In microarray data analyses, two important issues are how to choose genes, which provide reliable and good prediction for disease status, and how to determine the final gene set that is best for classification. Associations among genetic markers mean one can exploit information redundancy to potentially reduce classification cost in terms of time and money. Results To deal with redundant information and improve classification, we propose a gene selection method, Recursive Feature Addition, which combines supervised learning and statistical similarity measures. To determine the final optimal gene set for prediction and classification, we propose an algorithm, Lagging Prediction Peephole Optimization. By using six benchmark microarray gene expression data sets, we compared Recursive Feature Addition with recently developed gene selection methods: Support Vector Machine Recursive Feature Elimination, Leave-One-Out Calculation Sequential Forward Selection and several others. Conclusions On average, with the use of popular learning machines including Nearest Mean Scaled Classifier, Support Vector Machine, Naive Bayes Classifier and Random Forest, Recursive Feature Addition outperformed other methods. Our studies also showed that Lagging Prediction Peephole Optimization is superior to random strategy; Recursive Feature Addition with Lagging Prediction Peephole Optimization obtained better testing accuracies than the gene selection method varSelRF.

  10. 乳腺癌的分子分型%Molecular classification of breast cancer

    Institute of Scientific and Technical Information of China (English)

    张百红; 岳红云

    2014-01-01

    乳腺癌是一种分子水平异质性很高的疾病,分子分型可为乳腺癌的个体化治疗提供一个新视野.在分子病理学、分子生物学和系统生物学指导下,乳腺癌经历了4类分型、70种和21种基因蛋白谱以及基因组整合分类等不同分型.这些分型将为乳腺癌的精确治疗提供指导.%Breast cancer is a group of heterogeneous diseases.Molecular portraits provide a new insight for personalized cancer management in breast cancer.According to the molecular pathology,molecular biology and system biology,breast cancer goes through different typing methods,including four subclasses,geneexpression signature and integrated genomic classification.These major subtypes of breast cancer may provide guidance for precise therapeutics.

  11. Molecular classification of familial non-BRCA1/BRCA2 breast cancer.

    Science.gov (United States)

    Hedenfalk, Ingrid; Ringner, Markus; Ben-Dor, Amir; Yakhini, Zohar; Chen, Yidong; Chebil, Gunilla; Ach, Robert; Loman, Niklas; Olsson, Håkan; Meltzer, Paul; Borg, Ake; Trent, Jeffrey

    2003-03-01

    In the decade since their discovery, the two major breast cancer susceptibility genes BRCA1 and BRCA2, have been shown conclusively to be involved in a significant fraction of families segregating breast and ovarian cancer. However, it has become equally clear that a large proportion of families segregating breast cancer alone are not caused by mutations in BRCA1 or BRCA2. Unfortunately, despite intensive effort, the identification of additional breast cancer predisposition genes has so far been unsuccessful, presumably because of genetic heterogeneity, low penetrance, or recessive/polygenic mechanisms. These non-BRCA1/2 breast cancer families (termed BRCAx families) comprise a histopathologically heterogeneous group, further supporting their origin from multiple genetic events. Accordingly, the identification of a method to successfully subdivide BRCAx families into recognizable groups could be of considerable value to further genetic analysis. We have previously shown that global gene expression analysis can identify unique and distinct expression profiles in breast tumors from BRCA1 and BRCA2 mutation carriers. Here we show that gene expression profiling can discover novel classes among BRCAx tumors, and differentiate them from BRCA1 and BRCA2 tumors. Moreover, microarray-based comparative genomic hybridization (CGH) to cDNA arrays revealed specific somatic genetic alterations within the BRCAx subgroups. These findings illustrate that, when gene expression-based classifications are used, BRCAx families can be grouped into homogeneous subsets, thereby potentially increasing the power of conventional genetic analysis.

  12. Specific psychosocial issues of individuals undergoing genetic counseling for cancer - a literature review.

    Science.gov (United States)

    Eijzenga, Willem; Hahn, Daniela E E; Aaronson, Neil K; Kluijt, Irma; Bleiker, Eveline M A

    2014-04-01

    Approximately 25% of individuals undergoing genetic counseling for cancer experiences clinically relevant levels of distress, anxiety and/or depression. However, these general psychological outcomes that are used in many studies do not provide detailed information on the specific psychosocial problems experienced by counselees. The aim of this review was to investigate the specific psychosocial issues encountered by individuals undergoing genetic counseling for cancer, and to identify overarching themes across these issues. A literature search was performed, using four electronic databases (PubMed, PsychInfo, CINAHL and Embase). Papers published between January 2000 and January 2013 were selected using combinations, and related indexing terms of the keywords: 'genetic counseling', 'psychology' and 'cancer'. In total, 25 articles met our inclusion criteria. We identified the specific issues addressed by these papers, and used meta-ethnography to identify the following six overarching themes: coping with cancer risk, practical issues, family issues, children-related issues, living with cancer, and emotions. A large overlap in the specific issues and themes was found between these studies, suggesting that research on specific psychosocial problems within genetic counseling has reached a point of saturation. As a next step, efforts should be made to detect and monitor these problems of counselees at an early stage within the genetic counseling process.

  13. Critical issues on opioids in chronic non-cancer pain

    DEFF Research Database (Denmark)

    Eriksen, Jørgen; Sjøgren, Per; Bruera, Eduardo;

    2006-01-01

    The aim of the study was epidemiologically to evaluate the long-term effects of opioids on pain relief, quality of life and functional capacity in long-term/chronic non-cancer pain. The study was based on data from the 2000 Danish Health and Morbidity Survey. As part of a representative National...... in employment, higher use of the health care system, and a negative influence on quality of life as registered in all items in SF-36. Because of the cross-sectional nature causative relationships cannot be ascertained. However, it is remarkable that opioid treatment of long-term/chronic non-cancer pain does...... random sample of 16,684 individuals (>16 years of age), 10,066 took part in an interview and completed a self-administered questionnaire. Cancer patients were excluded. The interview and the self-administered questionnaire included questions on chronic/long-lasting pain (>6 months), health...

  14. Polyphenols: Key Issues Involved in Chemoprevention of Prostate Cancer

    Directory of Open Access Journals (Sweden)

    Sebastiano Cimino

    2012-01-01

    Full Text Available Prostate cancer is is the most common solid neoplasm and it is now recognized as one of the most important medical problems facing the male population. Due to its long latency and its identifiable preneoplastic lesions, prostate cancer is an ideal target tumor for chemoprevention. Different compounds are available and certainly polyphenols represent those with efficacy against prostate cancer. This review take a look at activity and properties of major polyphenolic substances, such as epigallocatechin-3-gallate, curcumin, resveratrol and the flavonoids quercetin and genistein. Although the current studies are limited, mechanisms of action of polyphenols added with the lack of side effects show a a start for future strategies in prostate chemoprevention.

  15. Captan: transition from 'B2' to 'not likely'. How pesticide registrants affected the EPA Cancer Classification Update.

    Science.gov (United States)

    Gordon, Elliot

    2007-01-01

    On 24 November 2004 EPA changed the cancer classification of captan from a 'probable human carcinogen' (Category B2) to 'not likely' when used according to label directions. The new cancer classification considers captan to be a potential carcinogen at prolonged high doses that cause cytotoxicity and regenerative cell hyperplasia. These high doses of captan are many orders of magnitude above those likely to be consumed in the diet, or encountered by individuals in occupational or residential settings. This revised cancer classification reflects EPA's implementation of their new cancer guidelines. The procedures involved in the reclassification effort were agreed upon with EPA and involved an Independent Transparent Review as it related to four components that formed the basis of the original 1986 B2 classification: mouse tumors; rat tumors; mutagenicity; and structural similarity to other carcinogens. A Peer Review Panel organized and administered by Toxicology Excellence for Risk Assessment (TERA) met on 2-3 September 2003. The Panel concluded that captan acted through a non-mutagenic threshold mode of action that required prolonged irritation of the duodenal villi as the initial key event. EPA's Cancer Assessment Review Committee (CARC) met on 9 June 2004 and endorsed the Peer Review findings. EPA intended to have the FIFRA Scientific Advisory Panel (SAP) consider the basis for this reclassification but found the science was robust and judged that a SAP review was not warranted. Using the revised classification, the margin of exposure is approximately 1,200,000, supporting the 'not likely' characterization.

  16. Les cancers de la cavité buccale et de l'oropharynx dans le monde : incidence internationale et classification TNM dans les registres du cancer

    OpenAIRE

    de Camargo Cancela, Marianna

    2010-01-01

    Oral cavity and oropharynx cancers : International incidence and TNM classification in population-based cancer registries The aim of this work was to know and to evaluate the epidemiological patterns of oral cavity and ororpharynx cancers. These topographies share some common risk factors and they are often grouped in epidemiological studies. However, the implication of the human papilloma virus in oropharyngeal tumors lead us to provide incidence rates according to the anatomical classificat...

  17. THE ISSUE OF CONCEPT, FEATURES AND CLASSIFICATION OF FINANCIAL-LEGAL NORMS

    Directory of Open Access Journals (Sweden)

    Ivanenko I. N.

    2015-03-01

    Full Text Available The concept, essence, value and classification of financial-legal norms are considered in the article. The special attention is paid to detection of peculiarities of these norms allowing delimiting them from norms of other branches of the law. The article emphasizes the fact that the direct purpose of the financial law norms is defined by a subject of the financial-legal regulation that is the relations arising in the process of public financial activities for regulation of formation, distribution and use of public funds of money. The authors’ opinion is reasoned about the fact that financial-legal norms are seldom arise as actual one because rules of conduct very rarely developed in social life as a prototype of the financial-legal norms. This circumstance is caused by the fact that financial relations do not exist and do not arise by it; these relations are shown in the forms determined by the state (municipalities and depend primarily on social needs which are determined by a level of development of the commodity-money relations, extent of the state activity, social problems and so on. Besides, authors explore the reasons of instability of the financial law norms. In addition, in this article the authors’ opinion about action mechanism of the financial law norms as very actual phenomenon in modern Russia is reasoned. Due to the fact that the budget system of the country is under the influence of financial-legal norms, with help of such norms state extra-budgetary social funds formed and used, monetary and exchange rate policy carried out, so the need of deeper study of these norms and understanding their action mechanism is very actual phenomenon in modern Russia

  18. Cervical cancer, quality issues in early detection and prognostic factors

    NARCIS (Netherlands)

    Zaal, A.

    2014-01-01

    It is expected that cervical cancer incidence will reduce in The Netherlands over the next decades, as a result of hrHPV vaccination and hrHPV-based screening. Untill then, quality of care could need some improvements as suggested by the work described in this thesis. Novel tools are being indicated

  19. Atrophic Vaginitis in Breast Cancer Survivors: A Difficult Survivorship Issue

    Directory of Open Access Journals (Sweden)

    Joanne Lester

    2015-03-01

    Full Text Available Management of breast cancer includes systematic therapies including chemotherapy and endocrine therapy can lead to a variety of symptoms that can impair the quality of life of many breast cancer survivors. Atrophic vaginitis, caused by decreased levels of circulating estrogen to urinary and vaginal receptors, is commonly experienced by this group. Chemotherapy induced ovarian failure and endocrine therapies including aromatase inhibitors and selective estrogen receptor modulators can trigger the onset of atrophic vaginitis or exacerbate existing symptoms. Symptoms of atrophic vaginitis include vaginal dryness, dyspareunia, and irritation of genital skin, pruritus, burning, vaginal discharge, and soreness. The diagnosis of atrophic vaginitis is confirmed through patient-reported symptoms and gynecological examination of external structures, introitus, and vaginal mucosa. Lifestyle modifications can be helpful but are usually insufficient to significantly improve symptoms. Non-hormonal vaginal therapies may provide additional relief by increasing vaginal moisture and fluid. Systemic estrogen therapy is contraindicated in breast cancer survivors. Continued investigations of various treatments for atrophic vaginitis are necessary. Local estrogen-based therapies, DHEA, testosterone, and pH-balanced gels continue to be evaluated in ongoing studies. Definitive results are needed pertaining to the safety of topical estrogens in breast cancer survivors.

  20. Current issues in the targeted therapy of advanced colorectal cancer.

    NARCIS (Netherlands)

    Knijn, N.; Tol, J.; Punt, C.J.A.

    2010-01-01

    Currently used cytotoxic drugs in the treatment of advanced colorectal cancer (ACC) are primarily the fluoropyrimidines, irinotecan, and oxaliplatin. The introduction of targeted therapy has increased the therapeutic arsenal. Two classes of monoclonal antibodies have been approved for clinical use i

  1. Statistical Analysis of Tissue Images for Detection and Classification of Cervical Cancer

    CERN Document Server

    Jagtap, Jaidip; Pandey, Kiran; Agarwa, Asha; Panigrahi, Prasanta K; Pradhan, Asima

    2011-01-01

    Cervical cancer is one of the major health threats in women worldwide. The current "gold standard" for detecting cancer of the epithelial tissue is the histopathology analysis of biopsy samples. However it relies on the pathologist's judgment of the disease. We investigate the utility of statistical parameters as a potential tool for detection and discrimination of the stages of dysplasia. Digital images of the tissue slides are captured with the help of a digital camera plugged to a microscope. Statistical data analysis is performed with the help of software to evaluate parameters such as mean, maxima, full width half maxima, skewness, kurtosis etc. for the images. We believe that these parameters can help effectively to improve the diagnosis and further classify normal and abnormal tissue sections. These parameters can be used independently as well as in tandem with other parameters as features in classification algorithms that involve the use of Neural networks or Principal component analysis.

  2. Two-Dimensional ARMA Modeling for Breast Cancer Detection and Classification

    CERN Document Server

    Bouaynaya, Nidhal; Schonfeld, Dan

    2009-01-01

    We propose a new model-based computer-aided diagnosis (CAD) system for tumor detection and classification (cancerous v.s. benign) in breast images. Specifically, we show that (x-ray, ultrasound and MRI) images can be accurately modeled by two-dimensional autoregressive-moving average (ARMA) random fields. We derive a two-stage Yule-Walker Least-Squares estimates of the model parameters, which are subsequently used as the basis for statistical inference and biophysical interpretation of the breast image. We use a k-means classifier to segment the breast image into three regions: healthy tissue, benign tumor, and cancerous tumor. Our simulation results on ultrasound breast images illustrate the power of the proposed approach.

  3. Molecular classification and prognostication of 300 node-negative breast cancer cases: A tertiary care experience

    Science.gov (United States)

    Shemin, K. M. Zuhara; Smitha, N. V.; Jojo, Annie; Vijaykumar, D. K.

    2015-01-01

    Background: The proportion of node-negative breast cancer patients has been increasing with improvement of diagnostic modalities and early detection. However, there is a 20–30% recurrence in node-negative breast cancers. Determining who should receive adjuvant therapy is challenging, as the majority are cured by surgery alone. Hence, it requires further stratification using additional prognostic and predictive factors. Subjects and Methods: Ours is a single institution retrospective study, on 300 node-negative breast cancer cases, who underwent primary surgery over a period of 7 years (2005–2011). We excluded all cases who took NACT. Prognostic factors of age, size, lymphovascular emboli, estrogen receptor (ER), progesterone receptor (PR), HER2neu Ki-67, grade and molecular classification were analyzed with respect to those with and without early events (recurrence, metastases or second malignancy, death) using-Pearson Chi-square method and logistic regression method for statistical analysis. Results: Majority belonged to the age group of 50–70 years. On univariate analysis, size >5 cm (P = 0.03) and ER negativity had significant association (P = 0.05) for early failures; PR negativity and lymphovascular emboli (LVE) had borderline significance (P = 0.07). Multivariate analysis showed size >5 cm to be significant (P = 0.04) and LVE positivity showed borderline significant association (P = 0.07) with early failures. About 62% belonged to luminal category followed by basal-like (25%) in molecular classification. Conclusions: ER negativity, PR negativity, LVE/lymphovascular invasion positivity and size >5 cm (T3 and T4) are associated with poor prognosis in node-negative breast cancers. PMID:26981506

  4. Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability

    Directory of Open Access Journals (Sweden)

    van de Vijver Marc J

    2008-08-01

    Full Text Available Abstract Background Michiels et al. (Lancet 2005; 365: 488–92 employed a resampling strategy to show that the genes identified as predictors of prognosis from resamplings of a single gene expression dataset are highly variable. The genes most frequently identified in the separate resamplings were put forward as a 'gold standard'. On a higher level, breast cancer datasets collected by different institutions can be considered as resamplings from the underlying breast cancer population. The limited overlap between published prognostic signatures confirms the trend of signature instability identified by the resampling strategy. Six breast cancer datasets, totaling 947 samples, all measured on the Affymetrix platform, are currently available. This provides a unique opportunity to employ a substantial dataset to investigate the effects of pooling datasets on classifier accuracy, signature stability and enrichment of functional categories. Results We show that the resampling strategy produces a suboptimal ranking of genes, which can not be considered to be a 'gold standard'. When pooling breast cancer datasets, we observed a synergetic effect on the classification performance in 73% of the cases. We also observe a significant positive correlation between the number of datasets that is pooled, the validation performance, the number of genes selected, and the enrichment of specific functional categories. In addition, we have evaluated the support for five explanations that have been postulated for the limited overlap of signatures. Conclusion The limited overlap of current signature genes can be attributed to small sample size. Pooling datasets results in more accurate classification and a convergence of signature genes. We therefore advocate the analysis of new data within the context of a compendium, rather than analysis in isolation.

  5. Molecular classification and prognostication of 300 node-negative breast cancer cases: A tertiary care experience

    Directory of Open Access Journals (Sweden)

    K M Zuhara Shemin

    2015-01-01

    Full Text Available Background: The proportion of node-negative breast cancer patients has been increasing with improvement of diagnostic modalities and early detection. However, there is a 20-30% recurrence in node-negative breast cancers. Determining who should receive adjuvant therapy is challenging, as the majority are cured by surgery alone. Hence, it requires further stratification using additional prognostic and predictive factors. Subjects and Methods: Ours is a single institution retrospective study, on 300 node-negative breast cancer cases, who underwent primary surgery over a period of 7 years (2005-2011. We excluded all cases who took NACT. Prognostic factors of age, size, lymphovascular emboli, estrogen receptor (ER, progesterone receptor (PR, HER2neu Ki-67, grade and molecular classification were analyzed with respect to those with and without early events (recurrence, metastases or second malignancy, death using-Pearson Chi-square method and logistic regression method for statistical analysis. Results: Majority belonged to the age group of 50-70 years. On univariate analysis, size >5 cm (P = 0.03 and ER negativity had significant association (P = 0.05 for early failures; PR negativity and lymphovascular emboli (LVE had borderline significance (P = 0.07. Multivariate analysis showed size >5 cm to be significant (P = 0.04 and LVE positivity showed borderline significant association (P = 0.07 with early failures. About 62% belonged to luminal category followed by basal-like (25% in molecular classification. Conclusions: ER negativity, PR negativity, LVE/lymphovascular invasion positivity and size >5 cm (T3 and T4 are associated with poor prognosis in node-negative breast cancers.

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

    Science.gov (United States)

    Xi, Maolong; Sun, Jun; Liu, Li; Fan, Fangyun; Wu, Xiaojun

    2016-01-01

    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. PMID:27642363

  7. 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.

  8. Regularization in Retrieval-Driven Classification of Clustered Microcalcifications for Breast Cancer

    Directory of Open Access Journals (Sweden)

    Hao Jing

    2012-01-01

    Full Text Available We propose a regularization based approach for case-adaptive classification in computer-aided diagnosis (CAD of breast cancer. The goal is to improve the classification accuracy on a query case by making use of a set of similar cases retrieved from an existing library of known cases. In the proposed approach, a prior is first derived from a traditional CAD classifier (which is typically pre-trained offline on a set of training cases. It is then used together with the retrieved similar cases to obtain an adaptive classifier on the query case. We consider two different forms for the regularization prior: one is fixed for all query cases and the other is allowed to vary with different query cases. In the experiments the proposed approach is demonstrated on a dataset of 1,006 clinical cases. The results show that it could achieve significant improvement in numerical efficiency compared with a previously proposed case adaptive approach (by about an order of magnitude while maintaining similar (or better improvement in classification accuracy; it could also adapt faster in performance with a small number of retrieved cases. Measured by the area of under the ROC curve (AUC, the regularization based approach achieved AUC = 0.8215, compared with AUC = 0.7329 for the baseline classifier (-value=0.001.

  9. Regularization in Retrieval-Driven Classification of Clustered Microcalcifications for Breast Cancer

    Science.gov (United States)

    Jing, Hao; Yang, Yongyi; Nishikawa, Robert M.

    2012-01-01

    We propose a regularization based approach for case-adaptive classification in computer-aided diagnosis (CAD) of breast cancer. The goal is to improve the classification accuracy on a query case by making use of a set of similar cases retrieved from an existing library of known cases. In the proposed approach, a prior is first derived from a traditional CAD classifier (which is typically pre-trained offline on a set of training cases). It is then used together with the retrieved similar cases to obtain an adaptive classifier on the query case. We consider two different forms for the regularization prior: one is fixed for all query cases and the other is allowed to vary with different query cases. In the experiments the proposed approach is demonstrated on a dataset of 1,006 clinical cases. The results show that it could achieve significant improvement in numerical efficiency compared with a previously proposed case adaptive approach (by about an order of magnitude) while maintaining similar (or better) improvement in classification accuracy; it could also adapt faster in performance with a small number of retrieved cases. Measured by the area of under the ROC curve (AUC), the regularization based approach achieved AUC = 0.8215, compared with AUC = 0.7329 for the baseline classifier (P-value = 0.001). PMID:22919363

  10. 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.

  11. 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

  12. 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

  13. Non-sentinel lymph node metastasis prediction in breast cancer with metastatic sentinel lymph node: impact of molecular subtypes classification.

    Directory of Open Access Journals (Sweden)

    Fabien Reyal

    Full Text Available INTRODUCTION: To decipher the interaction between the molecular subtype classification and the probability of a non-sentinel node metastasis in breast cancer patients with a metastatic sentinel lymph-node, we applied two validated predictors (Tenon Score and MSKCC Nomogram on two large independent datasets. MATERIALS AND METHODS: Our datasets consisted of 656 and 574 early-stage breast cancer patients with a metastatic sentinel lymph-node biopsy treated at first by surgery. We applied both predictors on the whole dataset and on each molecular immune-phenotype subgroups. The performances of the two predictors were analyzed in terms of discrimination and calibration. Probability of non-sentinel lymph node metastasis was detailed for each molecular subtype. RESULTS: Similar results were obtained with both predictors. We showed that the performance in terms of discrimination was as expected in ER Positive HER2 negative subgroup in both datasets (MSKCC AUC Dataset 1 = 0.73 [0.69-0.78], MSKCC AUC Dataset 2 = 0.71 (0.65-0.76, Tenon Score AUC Dataset 1 = 0.7 (0.65-0.75, Tenon Score AUC Dataset 2 = 0.72 (0.66-0.76. Probability of non-sentinel node metastatic involvement was slightly under-estimated. Contradictory results were obtained in other subgroups (ER negative HER2 negative, HER2 positive subgroups in both datasets probably due to a small sample size issue. We showed that merging the two datasets shifted the performance close to the ER positive HER2 negative subgroup. DISCUSSION: We showed that validated predictors like the Tenon Score or the MSKCC nomogram built on heterogeneous population of breast cancer performed equally on the different subgroups analyzed. Our present study re-enforce the idea that performing subgroup analysis of such predictors within less than 200 samples subgroup is at major risk of misleading conclusions.

  14. Gene expression classification of colon cancer into molecular subtypes: characterization, validation, and prognostic value.

    Directory of Open Access Journals (Sweden)

    Laetitia Marisa

    Full Text Available BACKGROUND: Colon cancer (CC pathological staging fails to accurately predict recurrence, and to date, no gene expression signature has proven reliable for prognosis stratification in clinical practice, perhaps because CC is a heterogeneous disease. The aim of this study was to establish a comprehensive molecular classification of CC based on mRNA expression profile analyses. METHODS AND FINDINGS: Fresh-frozen primary tumor samples from a large multicenter cohort of 750 patients with stage I to IV CC who underwent surgery between 1987 and 2007 in seven centers were characterized for common DNA alterations, including BRAF, KRAS, and TP53 mutations, CpG island methylator phenotype, mismatch repair status, and chromosomal instability status, and were screened with whole genome and transcriptome arrays. 566 samples fulfilled RNA quality requirements. Unsupervised consensus hierarchical clustering applied to gene expression data from a discovery subset of 443 CC samples identified six molecular subtypes. These subtypes were associated with distinct clinicopathological characteristics, molecular alterations, specific enrichments of supervised gene expression signatures (stem cell phenotype-like, normal-like, serrated CC phenotype-like, and deregulated signaling pathways. Based on their main biological characteristics, we distinguished a deficient mismatch repair subtype, a KRAS mutant subtype, a cancer stem cell subtype, and three chromosomal instability subtypes, including one associated with down-regulated immune pathways, one with up-regulation of the Wnt pathway, and one displaying a normal-like gene expression profile. The classification was validated in the remaining 123 samples plus an independent set of 1,058 CC samples, including eight public datasets. Furthermore, prognosis was analyzed in the subset of stage II-III CC samples. The subtypes C4 and C6, but not the subtypes C1, C2, C3, and C5, were independently associated with shorter relapse

  15. Radiological and 'Imaging' methods in TNM classification of non-small-cell lung cancer

    International Nuclear Information System (INIS)

    Lung cancer is the most common worldwide malignant disease according to its incidence and mortality. The aim of our study was to evaluate the diagnostic value of the radiological and imaging methods, according to the TNM classification, compared to postoperative histological diagnosis. Thirty-seven patients with pulmonary carcinoma were studied prospectively using native chest radiography (PA and LL view), computed tomography (CT) and magnetic resonance imaging (MRI) during ten days before thoracotomy. Radiological and imaging findings were reviewed separately and results were compared with surgical and pathohistological findings on the basis of the TNM classification. All patients underwent chest x-rays, CT was performed in 36 patients and MRI in 12 of them. Imaging methods (CT and MRI) showed more accuracy in sensitivity and specificity compared with the native chest radiography in a great percentage. Generally no statistically significant differences were found between the two imagining methods for the evaluation of tumour extent (T) or lymph node metastases (N). MRI was slightly superior to CT in determination of the chest wall extent of the tumour. In the conclusion CT remains the imaging modality og choice both for assessing patients with abnormal chest radiographs suspected of having lung cancer, and in staging patients with histologically proven pulmonary carcinoma.

  16. The Evaluation of Microcarcinoma in Differentiated Thyroid Cancers According to Old and New TNM Classification

    Directory of Open Access Journals (Sweden)

    Zekiye Hasbek

    2011-12-01

    Full Text Available Objective: In this study, we aimed to evaluate the tumor size for proximal and distant metastases when the new and old TNM clas¬sification is taken into account in differentiated thyroid cancers. Material and Methods: Two hundred sixty eight patients diagnosed with thyroid carcinoma, undergoing bilateral total or subto¬tal thyroidectomy treated with high doses of I-131 were examined retrospectively. The data of these patients were compared after classification, according to tumor size 1 cm. In the same group, according to the revised TNM classification, in 149 of 207 patients (72% the tumor size was 2 cm. Of 187 patients with negative lymph nodes, 15 (8% showed abnormal activity accumulation in the first post I-131 treatment whole-body scan and 10 (40% of 25 patients positive lymph node (p<0.05 involvement. Conclusion: Since the treatment of patients with microcarcinoma is controversial, tumor size should not be the only factor consid¬ered in patients with differentiated thyroid cancer Tissue tumor invasion, age, gender and multifocality should also be taken into account. (MIRT2011;20:94-99

  17. Comparison of supervised classification methods for protein profiling in cancer diagnosis.

    Science.gov (United States)

    Dossat, Nadège; Mangé, Alain; Solassol, Jérôme; Jacot, William; Lhermitte, Ludovic; Maudelonde, Thierry; Daurès, Jean-Pierre; Molinari, Nicolas

    2007-01-01

    A key challenge in clinical proteomics of cancer is the identification of biomarkers that could allow detection, diagnosis and prognosis of the diseases. Recent advances in mass spectrometry and proteomic instrumentations offer unique chance to rapidly identify these markers. These advances pose considerable challenges, similar to those created by microarray-based investigation, for the discovery of pattern of markers from high-dimensional data, specific to each pathologic state (e.g. normal vs cancer). We propose a three-step strategy to select important markers from high-dimensional mass spectrometry data using surface enhanced laser desorption/ionization (SELDI) technology. The first two steps are the selection of the most discriminating biomarkers with a construction of different classifiers. Finally, we compare and validate their performance and robustness using different supervised classification methods such as Support Vector Machine, Linear Discriminant Analysis, Quadratic Discriminant Analysis, Neural Networks, Classification Trees and Boosting Trees. We show that the proposed method is suitable for analysing high-throughput proteomics data and that the combination of logistic regression and Linear Discriminant Analysis outperform other methods tested. PMID:19455249

  18. Cancer During Adolescence: Psychosocial Consequences and Methodological Issues

    OpenAIRE

    Mattsson, Elisabet

    2008-01-01

    The overall aim of this thesis was to investigate psychosocial consequences of cancer during adolescence, using a longitudinal approach. An additional aim was to investigate if mode of administration has an influence on adolescents’ and young adults’ self-reported psychosocial function. In Study I participants, aged 13-23 years, were randomised according to two modes of administration, telephone interview and postal questionnaire, and asked to complete the Hospital Anxiety and Depression Scal...

  19. Bulk Chemical Composition of the Ningqiang Carbonaceous Chondrite:An Issue of Classification

    Institute of Scientific and Technical Information of China (English)

    WANG Guiqin; LIN Yangting

    2007-01-01

    The Ningqiang meteorite is a fall carbonaceous chondrite, containing various Ca-, Al-rich inclusions that usually escaped from secondary events such as high-temperature heating and lowtemperature alteration. However, it has not yet been classified into any known chemical group. In order to address this issue, 41 elements of the bulk Ningqiang meteorite were analyzed using inductively coupled plasma mass spectrometry (ICP-MS) and inductively coupled plasma atom emission spectrometry (ICP-AES) in this study. The Allende (CV3) carbonaceous chondrite and the Jilin (H5)ordinary chondrite were also measured as references, and our analyses are consistent with the previous results. Rare earth and other refractory lithophile elements are depleted in Ningqiang relative to both Allende and mean CK chondrites. In addition, the REE pattern of Ningqiang is nearly flat, while that of Allende shows slight enrichment of LREE relative to HREE. Siderophile elements of Ningqiang are close to those of mean CK chondrites, but lower than those of Allende. Our new analyses indicate that Ningqiang cannot be classified into any known group of carbonaceous chondrites, consistent with previous reports.

  20. A review on biomass classification and composition, cofiring issues and pretreatment methods

    Energy Technology Data Exchange (ETDEWEB)

    Jaya Shankar Tumuluru; Shahab Sokhansanj; Christopher T. Wright; Richard D. Boardman

    2011-08-01

    Presently around the globe there is a significant interest in using biomass for power generation as power generation from coal continues to raise environmental concerns. Biomass alone can be used for generation of power which can bring lot of environmental benefits. However the constraints of using biomass alone can include high investments costs for biomass feed systems and also uncertainty in the security of the feedstock supply due to seasonal variations and in most of the countries biomass is dispersed and the infrastructure for biomass supply is not well established. Alternatively cofiring biomass along with coal offer advantages like (a) reducing the issues related to biomass quality and buffers the system when there is insufficient feedstock quantity and (b) costs of adapting the existing coal power plants will be lower than building new systems dedicated only to biomass. However with the above said advantages there exists some technical constrains including low heating and energy density values, low bulk density, lower grindability index, higher moisture and ash content to successfully cofire biomass with coal. In order to successfully cofire biomass with coal, biomass feedstock specifications need to be established to direct pretreatment options that may include increasing the energy density, bulk density, stability during storage and grindability. Impacts on particle transport systems, flame stability, pollutant formation and boiler tube fouling/corrosion must also be minimized by setting feedstock specifications including composition and blend ratios if necessary. Some of these limitations can be overcome by using pretreatment methods. This paper discusses the impact of feedstock pretreatment methods like sizing, baling, pelletizing, briquetting, washing/leaching, torrefaction, torrefaction and pelletization and steam explosion in attainment of optimum feedstock characteristics to successfully cofire biomass with coal.

  1. Geochemical assessments and classification of coal mine spoils for better understanding of potential salinity issues at closure.

    Science.gov (United States)

    Park, Jin Hee; Li, Xiaofang; Edraki, Mansour; Baumgartl, Thomas; Kirsch, Bernie

    2013-06-01

    Coal mining wastes in the form of spoils, rejects and tailings deposited on a mine lease can cause various environmental issues including contamination by toxic metals, acid mine drainage and salinity. Dissolution of salt from saline mine spoil, in particular, during rainfall events may result in local or regional dispersion of salts through leaching or in the accumulation of dissolved salts in soil pore water and inhibition of plant growth. The salinity in coal mine environments is from the geogenic salt accumulations and weathering of spoils upon surface exposure. The salts are mainly sulfates and chlorides of calcium, magnesium and sodium. The objective of the research is to investigate and assess the source and mobility of salts and trace elements in various spoil types, thereby predicting the leaching behavior of the salts and trace elements from spoils which have similar geochemical properties. X-ray diffraction analysis, total digestion, sequential extraction and column experiments were conducted to achieve the objectives. Sodium and chloride concentrations best represented salinity of the spoils, which might originate from halite. Electrical conductivity, sodium and chloride concentrations in the leachate decreased sharply with increasing leaching cycles. Leaching of trace elements was not significant in the studied area. Geochemical classification of spoil/waste defined for rehabilitation purposes was useful to predict potential salinity, which corresponded with the classification from cluster analysis based on leaching data of major elements. Certain spoil groups showed high potential salinity by releasing high sodium and chloride concentrations. Therefore, the leaching characteristics of sites having saline susceptible spoils require monitoring, and suitable remediation technologies have to be applied. PMID:23644772

  2. New issues in genetic counseling of hereditary colon cancer.

    Science.gov (United States)

    Lynch, Patrick M

    2007-11-15

    Clinicians face significant challenges in the diagnosis and management of familial colorectal cancer predisposition. Many of the challenges concern the rarity of individual conditions and their unfamiliarity to most clinicians, even those in the subspecialty areas of gastroenterology, colorectal surgery, and medical oncology. Because the World Wide Web now offers a wealth of information, familiarity with available online resources should be a minimal expectation of clinicians. Notably, these same resources are available to the lay public, so a more informed group of patients can be expected and is already being encountered. The web sites noted throughout this article are merely early examples of what should become an opportunity for instant access to the most up-to-date knowledge of rare familial colorectal cancers and their clinical features, molecular diagnostics, and clinical management and prevention. Many professional organizations have produced guidelines (in print and online) for use by practitioners in various specialties. The consistency, growing evidence base, and ready availability of these guidelines to providers and patients alike will likely foster greater recognition of the need to be in compliance with them. Finally, as investigators make progress with the genetics of these rare diseases, one can anticipate a "cooperative group" approach to clinical trials. PMID:18006790

  3. Identification of area-level influences on regions of high cancer incidence in Queensland, Australia: a classification tree approach

    Directory of Open Access Journals (Sweden)

    Mengersen Kerrie L

    2011-07-01

    Full Text Available Abstract Background Strategies for cancer reduction and management are targeted at both individual and area levels. Area-level strategies require careful understanding of geographic differences in cancer incidence, in particular the association with factors such as socioeconomic status, ethnicity and accessibility. This study aimed to identify the complex interplay of area-level factors associated with high area-specific incidence of Australian priority cancers using a classification and regression tree (CART approach. Methods Area-specific smoothed standardised incidence ratios were estimated for priority-area cancers across 478 statistical local areas in Queensland, Australia (1998-2007, n = 186,075. For those cancers with significant spatial variation, CART models were used to identify whether area-level accessibility, socioeconomic status and ethnicity were associated with high area-specific incidence. Results The accessibility of a person's residence had the most consistent association with the risk of cancer diagnosis across the specific cancers. Many cancers were likely to have high incidence in more urban areas, although male lung cancer and cervical cancer tended to have high incidence in more remote areas. The impact of socioeconomic status and ethnicity on these associations differed by type of cancer. Conclusions These results highlight the complex interactions between accessibility, socioeconomic status and ethnicity in determining cancer incidence risk.

  4. Gene Expression Profiles for Predicting Metastasis in Breast Cancer: A Cross-Study Comparison of Classification Methods

    Directory of Open Access Journals (Sweden)

    Mark Burton

    2012-01-01

    Full Text Available Machine learning has increasingly been used with microarray gene expression data and for the development of classifiers using a variety of methods. However, method comparisons in cross-study datasets are very scarce. This study compares the performance of seven classification methods and the effect of voting for predicting metastasis outcome in breast cancer patients, in three situations: within the same dataset or across datasets on similar or dissimilar microarray platforms. Combining classification results from seven classifiers into one voting decision performed significantly better during internal validation as well as external validation in similar microarray platforms than the underlying classification methods. When validating between different microarray platforms, random forest, another voting-based method, proved to be the best performing method. We conclude that voting based classifiers provided an advantage with respect to classifying metastasis outcome in breast cancer patients.

  5. Therapeutic pathomorphism of malignancies: Clinical and morphological criteria. Classifications. Prognostic value of therapeutic pathomorphism in breast cancer and other tumors

    Directory of Open Access Journals (Sweden)

    A. A. Lisayeva

    2011-01-01

    Full Text Available Pathomorphism is one of the most important prognostic factors for breast cancer . The paper gives the notion of pathomorphism an d its types and the most commonly used classifications of tumor pathomorphological changes. It also considers the long-term results of neoadjuvant treatment in relation to pathomorphism.

  6. 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.

  7. Quantum Dots for Cancer Research: Current Status, Remaining Issues, and Future Perspectives

    International Nuclear Information System (INIS)

    Cancer is a major threat to public health in the 21st century because it is one of the leading causes of death worldwide. The mechanisms of carcinogenesis, cancer invasion, and metastasis remain unclear. Thus, the development of a novel approach for cancer detection is urgent, and real-time monitoring is crucial in revealing its underlying biological mechanisms. With the optical and chemical advantages of quantum dots (QDs), QD-based nanotechnology is helpful in constructing a biomedical imaging platform for cancer behavior study. This review mainly focuses on the application of QD-based nanotechnology in cancer cell imaging and tumor microenvironment studies both in vivo and in vitro, as well as the remaining issues and future perspectives

  8. Equity and practice issues in colorectal cancer screening

    Science.gov (United States)

    Buchman, Sandy; Rozmovits, Linda; Glazier, Richard H.

    2016-01-01

    Abstract Objective To investigate overall colorectal cancer (CRC) screening rates, patterns in the use of types of CRC screening, and sociodemographic characteristics associated with CRC screening; and to gain insight into physicians’ perceptions about and use of fecal occult blood testing [FOBT] and colonoscopy for patients at average risk of CRC. Design Mixed-methods study using cross-sectional administrative data on patient sociodemographic characteristics and semistructured telephone interviews with physicians. Setting Toronto, Ont. Participants Patients aged 50 to 74 years and physicians in family health teams in the Toronto Central Local Health Integration Network. Main outcome measures Rates of CRC screening by type; sociodemographic characteristics associated with CRC screening; thematic analysis using constant comparative method for semistructured interviews. Main findings Ontario administrative data on CRC screening showed lower overall screening rates among those who were younger, male patients, those who had lower income, and recent immigrants. Colonoscopy rates were especially low among those with lower income and those who were recent immigrants. Semistructured interviews revealed that physician opinions about CRC screening for average-risk patients were divided: one group of physicians accepted the evidence and recommendations for FOBT and the other group of physicians strongly supported colonoscopy for these patients, believing that the FOBT was an inferior screening method. Physicians identified specialist recommendations and patient expectations as factors that influenced their decisions regarding CRC screening type. Conclusion There was considerable variation in CRC screening by sociodemographic characteristics. A key theme that emerged from the interviews was that physicians were divided in their preference for FOBT or colonoscopy; factors that influenced physician preference included the health care system, recommendations by other

  9. Classification of samples into two or more ordered populations with application to a cancer trial.

    Science.gov (United States)

    Conde, D; Fernández, M A; Rueda, C; Salvador, B

    2012-12-10

    In many applications, especially in cancer treatment and diagnosis, investigators are interested in classifying patients into various diagnosis groups on the basis of molecular data such as gene expression or proteomic data. Often, some of the diagnosis groups are known to be related to higher or lower values of some of the predictors. The standard methods of classifying patients into various groups do not take into account the underlying order. This could potentially result in high misclassification rates, especially when the number of groups is larger than two. In this article, we develop classification procedures that exploit the underlying order among the mean values of the predictor variables and the diagnostic groups by using ideas from order-restricted inference. We generalize the existing methodology on discrimination under restrictions and provide empirical evidence to demonstrate that the proposed methodology improves over the existing unrestricted methodology. The proposed methodology is applied to a bladder cancer data set where the researchers are interested in classifying patients into various groups.

  10. Comparison of Supervised Classification Methods for Protein Profiling in Cancer Diagnosis

    Directory of Open Access Journals (Sweden)

    Nadège Dossat

    2007-01-01

    Full Text Available A key challenge in clinical proteomics of cancer is the identification of biomarkers that could allow detection, diagnosis and prognosis of the diseases. Recent advances in mass spectrometry and proteomic instrumentations offer unique chance to rapidly identify these markers. These advances pose considerable challenges, similar to those created by microarray-based investigation, for the discovery of pattern of markers from high-dimensional data, specific to each pathologic state (e.g. normal vs cancer. We propose a three-step strategy to select important markers from high-dimensional mass spectrometry data using surface enhanced laser desorption/ionization (SELDI technology. The fi rst two steps are the selection of the most discriminating biomarkers with a construction of different classifiers. Finally, we compare and validate their performance and robustness using different supervised classification methods such as Support Vector Machine, Linear Discriminant Analysis, Quadratic Discriminant Analysis, Neural Networks, Classifi cation Trees and Boosting Trees. We show that the proposed method is suitable for analysing high-throughput proteomics data and that the combination of logistic regression and Linear Discriminant Analysis outperform other methods tested.

  11. Clinical classification of cancer cachexia: phenotypic correlates in human skeletal muscle.

    Directory of Open Access Journals (Sweden)

    Neil Johns

    Full Text Available BACKGROUND: Cachexia affects the majority of patients with advanced cancer and is associated with a reduction in treatment tolerance, response to therapy, and duration of survival. One impediment towards the effective treatment of cachexia is a validated classification system. METHODS: 41 patients with resectable upper gastrointestinal (GI or pancreatic cancer underwent characterisation for cachexia based on weight-loss (WL and/or low muscularity (LM. Four diagnostic criteria were used >5%WL, >10%WL, LM, and LM+>2%WL. All patients underwent biopsy of the rectus muscle. Analysis included immunohistochemistry for fibre size and type, protein and nucleic acid concentration, Western blots for markers of autophagy, SMAD signalling, and inflammation. FINDINGS: Compared with non-cachectic cancer patients, patients with LM or LM+>2%WL, mean muscle fibre diameter was reduced by about 25% (p = 0.02 and p = 0.001 respectively. No significant difference in fibre diameter was observed if patients had WL alone. Regardless of classification, there was no difference in fibre number or proportion of fibre type across all myosin heavy chain isoforms. Mean muscle protein content was reduced and the ratio of RNA/DNA decreased in patients with either >5%WL or LM+>2%WL. Compared with non-cachectic patients, SMAD3 protein levels were increased in patients with >5%WL (p = 0.022 and with >10%WL, beclin (p = 0.05 and ATG5 (p = 0.01 protein levels were increased. There were no differences in phospho-NFkB or phospho-STAT3 levels across any of the groups. CONCLUSION: Muscle fibre size, biochemical composition and pathway phenotype can vary according to whether the diagnostic criteria for cachexia are based on weight loss alone, a measure of low muscularity alone or a combination of the two. For intervention trials where the primary end-point is a change in muscle mass or function, use of combined diagnostic criteria may allow identification of a more

  12. Full Intelligent Cancer Classification of Thermal Breast Images to Assist Physician in Clinical Diagnostic Applications.

    Science.gov (United States)

    Lashkari, AmirEhsan; Pak, Fatemeh; Firouzmand, Mohammad

    2016-01-01

    Breast cancer is the most common type of cancer among women. The important key to treat the breast cancer is early detection of it because according to many pathological studies more than 75% - 80% of all abnormalities are still benign at primary stages; so in recent years, many studies and extensive research done to early detection of breast cancer with higher precision and accuracy. Infra-red breast thermography is an imaging technique based on recording temperature distribution patterns of breast tissue. Compared with breast mammography technique, thermography is more suitable technique because it is noninvasive, non-contact, passive and free ionizing radiation. In this paper, a full automatic high accuracy technique for classification of suspicious areas in thermogram images with the aim of assisting physicians in early detection of breast cancer has been presented. Proposed algorithm consists of four main steps: pre-processing & segmentation, feature extraction, feature selection and classification. At the first step, using full automatic operation, region of interest (ROI) determined and the quality of image improved. Using thresholding and edge detection techniques, both right and left breasts separated from each other. Then relative suspected areas become segmented and image matrix normalized due to the uniqueness of each person's body temperature. At feature extraction stage, 23 features, including statistical, morphological, frequency domain, histogram and Gray Level Co-occurrence Matrix (GLCM) based features are extracted from segmented right and left breast obtained from step 1. To achieve the best features, feature selection methods such as minimum Redundancy and Maximum Relevance (mRMR), Sequential Forward Selection (SFS), Sequential Backward Selection (SBS), Sequential Floating Forward Selection (SFFS), Sequential Floating Backward Selection (SFBS) and Genetic Algorithm (GA) have been used at step 3. Finally to classify and TH labeling procedures

  13. Laser Raman detection for oral cancer based on a Gaussian process classification method

    Science.gov (United States)

    Du, Zhanwei; Yang, Yongjian; Bai, Yuan; Wang, Lijun; Zhang, Chijun; Chen, He; Luo, Yusheng; Su, Le; Chen, Yong; Li, Xianchang; Zhou, Xiaodong; Jia, Jun; Shen, Aiguo; Hu, Jiming

    2013-06-01

    Oral squamous cell carcinoma is the most common neoplasm of the oral cavity. The incidence rate accounts for 80% of total oral cancer and shows an upward trend in recent years. It has a high degree of malignancy and is difficult to detect in terms of differential diagnosis, as a consequence of which the timing of treatment is always delayed. In this work, Raman spectroscopy was adopted to differentially diagnose oral squamous cell carcinoma and oral gland carcinoma. In total, 852 entries of raw spectral data which consisted of 631 items from 36 oral squamous cell carcinoma patients, 87 items from four oral gland carcinoma patients and 134 items from five normal people were collected by utilizing an optical method on oral tissues. The probability distribution of the datasets corresponding to the spectral peaks of the oral squamous cell carcinoma tissue was analyzed and the experimental result showed that the data obeyed a normal distribution. Moreover, the distribution characteristic of the noise was also in compliance with a Gaussian distribution. A Gaussian process (GP) classification method was utilized to distinguish the normal people and the oral gland carcinoma patients from the oral squamous cell carcinoma patients. The experimental results showed that all the normal people could be recognized. 83.33% of the oral squamous cell carcinoma patients could be correctly diagnosed and the remaining ones would be diagnosed as having oral gland carcinoma. For the classification process of oral gland carcinoma and oral squamous cell carcinoma, the correct ratio was 66.67% and the erroneously diagnosed percentage was 33.33%. The total sensitivity was 80% and the specificity was 100% with the Matthews correlation coefficient (MCC) set to 0.447 213 595. Considering the numerical results above, the application prospects and clinical value of this technique are significantly impressive.

  14. Laser Raman detection for oral cancer based on a Gaussian process classification method

    International Nuclear Information System (INIS)

    Oral squamous cell carcinoma is the most common neoplasm of the oral cavity. The incidence rate accounts for 80% of total oral cancer and shows an upward trend in recent years. It has a high degree of malignancy and is difficult to detect in terms of differential diagnosis, as a consequence of which the timing of treatment is always delayed. In this work, Raman spectroscopy was adopted to differentially diagnose oral squamous cell carcinoma and oral gland carcinoma. In total, 852 entries of raw spectral data which consisted of 631 items from 36 oral squamous cell carcinoma patients, 87 items from four oral gland carcinoma patients and 134 items from five normal people were collected by utilizing an optical method on oral tissues. The probability distribution of the datasets corresponding to the spectral peaks of the oral squamous cell carcinoma tissue was analyzed and the experimental result showed that the data obeyed a normal distribution. Moreover, the distribution characteristic of the noise was also in compliance with a Gaussian distribution. A Gaussian process (GP) classification method was utilized to distinguish the normal people and the oral gland carcinoma patients from the oral squamous cell carcinoma patients. The experimental results showed that all the normal people could be recognized. 83.33% of the oral squamous cell carcinoma patients could be correctly diagnosed and the remaining ones would be diagnosed as having oral gland carcinoma. For the classification process of oral gland carcinoma and oral squamous cell carcinoma, the correct ratio was 66.67% and the erroneously diagnosed percentage was 33.33%. The total sensitivity was 80% and the specificity was 100% with the Matthews correlation coefficient (MCC) set to 0.447 213 595. Considering the numerical results above, the application prospects and clinical value of this technique are significantly impressive. (letter)

  15. Stratification and prognostic relevance of Jass’s molecular classification of colorectal cancer

    Directory of Open Access Journals (Sweden)

    Inti eZlobec

    2012-02-01

    Full Text Available Background: The current proposed model of colorectal tumorigenesis is based primarily on CpG island methylator phenotype (CIMP, microsatellite instability (MSI, KRAS, BRAF, and methylation status of 0-6-Methylguanine DNA Methyltransferase (MGMT and classifies tumors into 5 subgroups. The aim of this study is to validate this molecular classification and test its prognostic relevance. Methods: 302 patients were included in this study. Molecular analysis was performed for 5 CIMP-related promoters (CRABP1, MLH1, p16INK4a, CACNA1G, NEUROG1, MGMT, MSI, KRAS and BRAF. Tumors were CIMP-high or CIMP-low if ≥4 and 1-3 promoters were methylated, respectively. Results: CIMP-high, CIMP-low and CIMP–negative were found in 7.1%, 43% and 49.9% cases, respectively. 123 tumors (41% could not be classified into any one of the proposed molecular subgroups, including 107 CIMP-low, 14 CIMP-high and 2 CIMP-negative cases. The 10-year survival rate for CIMP-high patients (22.6% (95%CI: 7-43 was significantly lower than for CIMP-low or CIMP-negative (p=0.0295. Only the combined analysis of BRAF and CIMP (negative versus low/high led to distinct prognostic subgroups. Conclusion: Although CIMP status has an effect on outcome, our results underline the need for standardized definitions of low- and high-level CIMP, which clearly hinders an effective prognostic and molecular classification of colorectal cancer.

  16. Barriers and facilitators for oncology nurses discussing sexual issues with men diagnosed with testicular cancer.

    LENUS (Irish Health Repository)

    Moore, Annamarie

    2013-01-02

    PURPOSE: Testicular cancer occurs at a time in a man\\'s life when major social life changes are occurring and when body image, fertility, sexual desire and performance can be central issues. Oncology nurses, as members of the multidisciplinary team, are in an ideal position to address men\\'s concerns. The aim of this study was to investigate oncology nurses\\' self-perceived knowledge and comfort in relation to discussing sexuality concerns with men diagnosed with testicular cancer and to identify the barriers and facilitators to such discussions. METHODS: This study employed a self-completion, anonymous survey design with a sample of registered nurses working in five, randomly chosen, oncology centres in Ireland. RESULTS: In total, 89 questionnaires (45% response rate) were included for analysis. Findings suggest that although nurses were open to addressing concerns, few informed patients they were available to discuss sexual concerns. Nurses reported lacking knowledge of, and discomfort in, discussing the more intimate aspects of sexuality, including: ejaculatory difficulties, erectile dysfunction, impotence, prosthesis options and testicular self examination. CONCLUSIONS: Findings reinforce the need for more comprehensive education on sexuality issues and testicular cancer. Nurses need to take a more proactive approach to sexuality care, as opposed to the \\'passive waiting stance\\' that permeates the current culture of care. Education programmes need to include specific information on sexual issues associated with testicular cancer, and oncology nurses must subsume sexuality as an essential aspect of their role through changes in policies and nursing care planning.

  17. Patient-reported symptom distress, and most bothersome issues, before and during cancer treatment

    Directory of Open Access Journals (Sweden)

    Hong F

    2016-09-01

    Full Text Available Fangxin Hong,1,2 Traci M Blonquist,1 Barbara Halpenny,3 Donna L Berry,3,4 1Department of Biostatistics and Computational Biology, Dana‑Farber Cancer Institute, Boston, MA, USA;2Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA; 3Department of Nursing and Patient Care Services, The Phyllis F. Cantor Center, Dana-Farber Cancer Institute, Boston, MA, USA; 4Department of Medicine, Harvard Medical School, Boston, MA, USA Introduction: Frequently reported symptoms and treatment side effects may not be the most bothersome issues to patients with cancer. The purpose of this study was to investigate patient-reported symptom distress and bothersome issues among participants with cancer. Methods: Participants completed the Symptom Distress Scale-15 before treatment (T1 and during cancer treatment (T2 and reported up to two most bothersome issues among symptoms rated with moderate-to-severe distress. We compared symptom ratings and perceived bother and explored two approaches predicting patients’ most bothersome issues: worst absolute symptom score or worst change from pretreatment. Results: Significantly, (P≤0.0002 more patients reported moderate-to-severe distress at T2 for eight of 13 symptoms. At T1, 81% of patients reported one and 56% reported multiple symptoms with moderate-to-severe distress, while at T2, 89% reported one and 69% reported multiple symptoms with moderate-to-severe distress. Impact on sexual activity/interest, pain, fatigue, and insomnia were the most prevalent symptoms with moderate-to-severe distress. Fatigue, pain, and insomnia were perceived most often as bothersome. When one symptom was rated moderate-to-severe, predictive accuracy of the absolute score was 46% and 48% (T1 & T2 and 38% with the change score (T2–T1. When two or more symptoms were rated moderate-to-severe, predictive accuracy of the absolute score was 76% and 79% (T1 & T2 and 70% with the change score (T2–T1. Conclusion: More

  18. Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology

    Science.gov (United States)

    Sharma, Harshita; Zerbe, Norman; Heim, Daniel; Wienert, Stephan; Lohmann, Sebastian; Hellwich, Olaf; Hufnagl, Peter

    2016-03-01

    This paper describes a novel graph-based method for efficient representation and subsequent classification in histological whole slide images of gastric cancer. Her2/neu immunohistochemically stained and haematoxylin and eosin stained histological sections of gastric carcinoma are digitized. Immunohistochemical staining is used in practice by pathologists to determine extent of malignancy, however, it is laborious to visually discriminate the corresponding malignancy levels in the more commonly used haematoxylin and eosin stain, and this study attempts to solve this problem using a computer-based method. Cell nuclei are first isolated at high magnification using an automatic cell nuclei segmentation strategy, followed by construction of cell nuclei attributed relational graphs of the tissue regions. These graphs represent tissue architecture comprehensively, as they contain information about cell nuclei morphology as vertex attributes, along with knowledge of neighborhood in the form of edge linking and edge attributes. Global graph characteristics are derived and ensemble learning is used to discriminate between three types of malignancy levels, namely, non-tumor, Her2/neu positive tumor and Her2/neu negative tumor. Performance is compared with state of the art methods including four texture feature groups (Haralick, Gabor, Local Binary Patterns and Varma Zisserman features), color and intensity features, and Voronoi diagram and Delaunay triangulation. Texture, color and intensity information is also combined with graph-based knowledge, followed by correlation analysis. Quantitative assessment is performed using two cross validation strategies. On investigating the experimental results, it can be concluded that the proposed method provides a promising way for computer-based analysis of histopathological images of gastric cancer.

  19. 5th International ACC Symposium: Classification of Adrenocortical Cancers from Pathology to Integrated Genomics: Real Advances or Lost in Translation?

    Science.gov (United States)

    de Krijger, Ronald E; Bertherat, Jérôme

    2016-02-01

    For the clinician, despite its rarity, adrenocortical cancer is a heterogeneous tumor both in term of steroid excess and tumor evolution. For patient management, it is crucial to have an accurate vision of this heterogeneity, in order to use a correct tumor classification. Pathology is the best way to classify operated adrenocortical tumors: to recognize their adrenocortical nature and to differentiate benign from malignant tumors. Among malignant tumors pathology also aims at prognosis assessment. Although progress has being made for prognosis assessment, there is still a need for improvement. Recent studies have established the value of Ki67 for adrenocortical cancer (ACC) prognostication, aiming also at standardization to reduce variability. The use of genomics to study adrenocortical tumors gives a very new insight in their pathogenesis and molecular classification. Genomics studies of ACC give now a clear description of the mRNA (transcriptome) and miRNA expression profile, as well as chromosomal and methylation alterations. Exome sequencing also established firmly the list of the main ACC driver genes. Interestingly, genomics study of ACC also revealed subtypes of malignant tumors with different pattern of molecular alterations, associated with different outcome. This leads to a new vision of adrenocortical tumors classification based on molecular analysis. Interestingly, these molecular classifications meet also the results of pathological analysis. This opens new perspectives on the development and use of various molecular tools to classify, along with pathological analysis, ACC, and guides patient management at the area of precision medicine. PMID:26676358

  20. Classification of Laser Induced Fluorescence Spectra from Normal and Malignant bladder tissues using Learning Vector Quantization Neural Network in Bladder Cancer Diagnosis

    DEFF Research Database (Denmark)

    Karemore, Gopal Raghunath; Mascarenhas, Kim Komal; Patil, Choudhary;

    2008-01-01

    classification accuracy of LVQ with other classifiers (eg. SVM and Multi Layer Perceptron) for the same data set. Good agreement has been obtained between LVQ based classification of spectroscopy data and histopathology results which demonstrate the use of LVQ classifier in bladder cancer diagnosis....

  1. Prognostic classification index in Iranian colorectal cancer patients: Survival tree analysis

    Directory of Open Access Journals (Sweden)

    Amal Saki Malehi

    2016-01-01

    Full Text Available Aims: The aim of this study was to determine the prognostic index for separating homogenous subgroups in colorectal cancer (CRC patients based on clinicopathological characteristics using survival tree analysis. Methods: The current study was conducted at the Research Center of Gastroenterology and Liver Disease, Shahid Beheshti Medical University in Tehran, between January 2004 and January 2009. A total of 739 patients who already have been diagnosed with CRC based on pathologic report were enrolled. The data included demographic and clinical-pathological characteristic of patients. Tree-structured survival analysis based on a recursive partitioning algorithm was implemented to evaluate prognostic factors. The probability curves were calculated according to the Kaplan-Meier method, and the hazard ratio was estimated as an interest effect size. Result: There were 526 males (71.2% of these patients. The mean survival time (from diagnosis time was 42.46± (3.4. Survival tree identified three variables as main prognostic factors and based on their four prognostic subgroups was constructed. The log-rank test showed good separation of survival curves. Patients with Stage I-IIIA and treated with surgery as the first treatment showed low risk (median = 34 months whereas patients with stage IIIB, IV, and more than 68 years have the worse survival outcome (median = 9.5 months. Conclusion: Constructing the prognostic classification index via survival tree can aid the researchers to assess interaction between clinical variables and determining the cumulative effect of these variables on survival outcome.

  2. Subtype classification for prediction of prognosis of breast cancer from a biomarker panel: correlations and indications

    Directory of Open Access Journals (Sweden)

    Chen C

    2014-02-01

    positive correlation (P<0.001 between the estrogen receptor and the progesterone receptor (r=0.588, but a significant negative correlation (P<0.001, r=-0.618 with the HHR subtype. There were significant differences between the estrogen receptor, progesterone receptor, and HER2 subtypes with regard to total HER2 load and hormone receptor subtypes. The rates of androgen receptor and p53 positivity were 46.3% and 57.0%, respectively. Other than the androgen receptor, differences in expression of Ki67, EGFR, and p53 did not achieve statistical significance (P>0.05 between the five subtypes. EGFR and Ki67 had prognostic significance for 5-year disease-free survival in univariate analysis, but the androgen receptor and p53 did not. Multivariate analysis identified that EGFR expression had predictive significance for 5-year disease-free survival in hormone-receptor positive patients and in those with the lymph node-positive breast cancer subtype. Conclusion: Hormone receptor expression was indeed one of the molecular profiles in the subtypes identified by quantitative HER2 and vice versa. EGFR status may provide discriminative prognostic information in addition to HER2 and hormone receptor status, and should be integrated into routine practice to help formulate more specific prediction of the prognosis and appropriate individualized treatment. Keywords: quantum dots, breast cancer, molecular classification, prognosis, prediction

  3. Genetic Fuzzy System (GFS based wavelet co-occurrence feature selection in mammogram classification for breast cancer diagnosis

    Directory of Open Access Journals (Sweden)

    Meenakshi M. Pawar

    2016-09-01

    Full Text Available Breast cancer is significant health problem diagnosed mostly in women worldwide. Therefore, early detection of breast cancer is performed with the help of digital mammography, which can reduce mortality rate. This paper presents wrapper based feature selection approach for wavelet co-occurrence feature (WCF using Genetic Fuzzy System (GFS in mammogram classification problem. The performance of GFS algorithm is explained using mini-MIAS database. WCF features are obtained from detail wavelet coefficients at each level of decomposition of mammogram image. At first level of decomposition, 18 features are applied to GFS algorithm, which selects 5 features with an average classification success rate of 39.64%. Subsequently, at second level it selects 9 features from 36 features and the classification success rate is improved to 56.75%. For third level, 16 features are selected from 54 features and average success rate is improved to 64.98%. Lastly, at fourth level 72 features are applied to GFS, which selects 16 features and thereby increasing average success rate to 89.47%. Hence, GFS algorithm is the effective way of obtaining optimal set of feature in breast cancer diagnosis.

  4. The study of a patient's immune system may prove to be a useful noninvasive tool for stage classification in colon cancer.

    Science.gov (United States)

    Pellegrini, Patrizia; Berghella, Anna Maria; Contasta, Ida; Del Beato, Tiziana; Adorno, Domenico

    2006-10-01

    Therapy, and, therefore, prognosis, is strictly related to cancer stage, and hence, screening tests that can contribute to the early classification of disease stage represent a step forward in treatment. Unfortunately, few prognostic indices are available, especially noninvasive ones. Our study of the physiological network of the immune response, however, leads us to believe that it may well be possible to define immunological indices for the classification of cancer stage using blood parameters. In this paper, we show how the study of a patient's immune system can be used as a noninvasive tool for early-stage classification.

  5. Comparison of Computational Algorithms for the Classification of Liver Cancer using SELDI Mass Spectrometry: A Case Study

    Directory of Open Access Journals (Sweden)

    Robert J Hickey

    2007-01-01

    Full Text Available Introduction: As an alternative to DNA microarrays, mass spectrometry based analysis of proteomic patterns has shown great potential in cancer diagnosis. The ultimate application of this technique in clinical settings relies on the advancement of the technology itself and the maturity of the computational tools used to analyze the data. A number of computational algorithms constructed on different principles are available for the classification of disease status based on proteomic patterns. Nevertheless, few studies have addressed the difference in the performance of these approaches. In this report, we describe a comparative case study on the classification accuracy of hepatocellular carcinoma based on the serum proteomic pattern generated from a Surface Enhanced Laser Desorption/Ionization (SELDI mass spectrometer.Methods: Nine supervised classifi cation algorithms are implemented in R software and compared for the classification accuracy.Results: We found that the support vector machine with radial function is preferable as a tool for classification of hepatocellular carcinoma using features in SELDI mass spectra. Among the rest of the methods, random forest and prediction analysis of microarrays have better performance. A permutation-based technique reveals that the support vector machine with a radial function seems intrinsically superior in learning from the training data since it has a lower prediction error than others when there is essentially no differential signal. On the other hand, the performance of the random forest and prediction analysis of microarrays rely on their capability of capturing the signals with substantial differentiation between groups.Conclusions: Our finding is similar to a previous study, where classification methods based on the Matrix Assisted Laser Desorption/Ionization (MALDI mass spectrometry are compared for the prediction accuracy of ovarian cancer. The support vector machine, random forest and prediction

  6. Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution.

    Science.gov (United States)

    Pak, Fatemeh; Kanan, Hamidreza Rashidy; Alikhassi, Afsaneh

    2015-11-01

    Breast cancer is one of the most perilous diseases among women. Breast screening is a method of detecting breast cancer at a very early stage which can reduce the mortality rate. Mammography is a standard method for the early diagnosis of breast cancer. In this paper, a new algorithm is proposed for breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution (SR). The presented algorithm includes three main parts including pre-processing, feature extraction and classification. In the pre-processing stage, after determining the region of interest (ROI) by an automatic technique, the quality of image is improved using NSCT and SR algorithm. In the feature extraction part, several features of the image components are extracted and skewness of each feature is calculated. Finally, AdaBoost algorithm is used to classify and determine the probability of benign and malign disease. The obtained results on Mammographic Image Analysis Society (MIAS) database indicate the significant performance and superiority of the proposed method in comparison with the state of the art approaches. According to the obtained results, the proposed technique achieves 91.43% and 6.42% as a mean accuracy and FPR, respectively.

  7. Effect of World Health Organization (WHO) Histological Classification on Predicting Lymph Node Metastasis and Recurrence in Early Gastric Cancer

    Science.gov (United States)

    Lai, Ji Fu; Xu, Wen Na; Noh, Sung Hoon; Lu, Wei Qin

    2016-01-01

    Background The World Health Organization (WHO) histological classification for gastric cancer is widely accepted and used. However, its impact on predicting lymph node metastasis and recurrence in early gastric cancer (EGC) is not well studied. Material/Methods From 1987 to 2005, 2873 EGC patients with known WHO histological type who had undergone curative resection were enrolled in this study. In all, 637 well-differentiated adenocarcinomas (WD), 802 moderately-differentiated adenocarcinomas (MD), 689 poorly-differentiated adenocarcinomas (PD), and 745 signet-ring cell adenocarcinomas (SRC) were identified. Results The distribution of demographic and clinical features in early gastric cancer among WD, MD, PD, and SRC were significantly different. Lymph node metastasis was observed in 317 patients (11.0%), with the lymph node metastasis rate being 5.3%, 14.8%, 17.0%, and 6.3% in WD, MD, PD, and SRC, respectively. Univariate and multivariate analyses indicated that gender, tumor size, gross appearance, depth of invasion, and WHO classification were significantly associated with lymph node metastasis. Recurrence was observed in 83 patients (2.9%), with the recurrence rate being 2.2%, 4.5%, 3.0%, and 1.6% in WD, MD, PD, and SRC, respectively. Multivariate analysis confirmed that MD, elevated gross type, and lymph node metastasis were independent risk factors for recurrence in EGC. MD patients showed worse disease-free survival than non-MD patients (P=0.001). Conclusions WHO classification is useful and necessary to evaluate during the perioperative management of EGC. Treatment strategies for EGC should be made prudently according to WHO classification, especially for MD patients. PMID:27595490

  8. Effect of World Health Organization (WHO) Histological Classification on Predicting Lymph Node Metastasis and Recurrence in Early Gastric Cancer.

    Science.gov (United States)

    Lai, Ji Fu; Xu, Wen Na; Noh, Sung Hoon; Lu, Wei Qin

    2016-01-01

    BACKGROUND The World Health Organization (WHO) histological classification for gastric cancer is widely accepted and used. However, its impact on predicting lymph node metastasis and recurrence in early gastric cancer (EGC) is not well studied. MATERIAL AND METHODS From 1987 to 2005, 2873 EGC patients with known WHO histological type who had undergone curative resection were enrolled in this study. In all, 637 well-differentiated adenocarcinomas (WD), 802 moderately-differentiated adenocarcinomas (MD), 689 poorly-differentiated adenocarcinomas (PD), and 745 signet-ring cell adenocarcinomas (SRC) were identified. RESULTS The distribution of demographic and clinical features in early gastric cancer among WD, MD, PD, and SRC were significantly different. Lymph node metastasis was observed in 317 patients (11.0%), with the lymph node metastasis rate being 5.3%, 14.8%, 17.0%, and 6.3% in WD, MD, PD, and SRC, respectively. Univariate and multivariate analyses indicated that gender, tumor size, gross appearance, depth of invasion, and WHO classification were significantly associated with lymph node metastasis. Recurrence was observed in 83 patients (2.9%), with the recurrence rate being 2.2%, 4.5%, 3.0%, and 1.6% in WD, MD, PD, and SRC, respectively. Multivariate analysis confirmed that MD, elevated gross type, and lymph node metastasis were independent risk factors for recurrence in EGC. MD patients showed worse disease-free survival than non-MD patients (P=0.001). CONCLUSIONS WHO classification is useful and necessary to evaluate during the perioperative management of EGC. Treatment strategies for EGC should be made prudently according to WHO classification, especially for MD patients. PMID:27595490

  9. The efficacy of issuing a free coupon for breast cancer screening

    International Nuclear Information System (INIS)

    In 2009, the Japanese government introduced a new project in which a free coupon for breast cancer screening was issued. Our institution provided two mammography buses and visited 11 suburbs of Tokyo places a total of 233 times for screening with the free coupon. We classified the areas visited into two groups: those where we had sent the bus every year (usual areas), and other areas to which we had never sent the bus previously (new area). We also issued questionnaires to the coupon examinees. The number of mammography screenings conducted was 15,257 (a 71% increase). The recall rate was 6.3%, and the rate of responders for detailed examination was 60.3% in the new areas, being lower than in the other areas. The most serious problem in the new areas was that the rate of early cancer detection was 44.4%, being much lower than in the other areas. In response to the questionnaire items inquiring about womens' motivation for screening, 'individual notice' accounted for the majority of responses, followed by 'free screening'. In response to the question of how much women were prepared to pay for breast cancer screening, the majority of women stated that they would be willing to pay between 1,000 and 2,000 yen. In conclusion, the scheme for providing free coupons for breast cancer screening would appear to motivate women who have never undergone screening before. On the other hand, some problems have been exposed. In areas new to screening, a high proportion of advanced cancers were found, and there was a lower rate of response for more detailed examination. The answers received appear to indicate that women prefer to receive individual notice, rather than free screening. (author)

  10. Lung cancer gene expression database analysis incorporating prior knowledge with support vector machine-based classification method

    Directory of Open Access Journals (Sweden)

    Huang Desheng

    2009-07-01

    Full Text Available Abstract Background A reliable and precise classification is essential for successful diagnosis and treatment of cancer. Gene expression microarrays have provided the high-throughput platform to discover genomic biomarkers for cancer diagnosis and prognosis. Rational use of the available bioinformation can not only effectively remove or suppress noise in gene chips, but also avoid one-sided results of separate experiment. However, only some studies have been aware of the importance of prior information in cancer classification. Methods Together with the application of support vector machine as the discriminant approach, we proposed one modified method that incorporated prior knowledge into cancer classification based on gene expression data to improve accuracy. A public well-known dataset, Malignant pleural mesothelioma and lung adenocarcinoma gene expression database, was used in this study. Prior knowledge is viewed here as a means of directing the classifier using known lung adenocarcinoma related genes. The procedures were performed by software R 2.80. Results The modified method performed better after incorporating prior knowledge. Accuracy of the modified method improved from 98.86% to 100% in training set and from 98.51% to 99.06% in test set. The standard deviations of the modified method decreased from 0.26% to 0 in training set and from 3.04% to 2.10% in test set. Conclusion The method that incorporates prior knowledge into discriminant analysis could effectively improve the capacity and reduce the impact of noise. This idea may have good future not only in practice but also in methodology.

  11. Non-gaussian distributions affect identification of expression patterns, functional annotation, and prospective classification in human cancer genomes.

    Directory of Open Access Journals (Sweden)

    Nicholas F Marko

    Full Text Available INTRODUCTION: Gene expression data is often assumed to be normally-distributed, but this assumption has not been tested rigorously. We investigate the distribution of expression data in human cancer genomes and study the implications of deviations from the normal distribution for translational molecular oncology research. METHODS: We conducted a central moments analysis of five cancer genomes and performed empiric distribution fitting to examine the true distribution of expression data both on the complete-experiment and on the individual-gene levels. We used a variety of parametric and nonparametric methods to test the effects of deviations from normality on gene calling, functional annotation, and prospective molecular classification using a sixth cancer genome. RESULTS: Central moments analyses reveal statistically-significant deviations from normality in all of the analyzed cancer genomes. We observe as much as 37% variability in gene calling, 39% variability in functional annotation, and 30% variability in prospective, molecular tumor subclassification associated with this effect. CONCLUSIONS: Cancer gene expression profiles are not normally-distributed, either on the complete-experiment or on the individual-gene level. Instead, they exhibit complex, heavy-tailed distributions characterized by statistically-significant skewness and kurtosis. The non-Gaussian distribution of this data affects identification of differentially-expressed genes, functional annotation, and prospective molecular classification. These effects may be reduced in some circumstances, although not completely eliminated, by using nonparametric analytics. This analysis highlights two unreliable assumptions of translational cancer gene expression analysis: that "small" departures from normality in the expression data distributions are analytically-insignificant and that "robust" gene-calling algorithms can fully compensate for these effects.

  12. Researching experiences of terminal cancer: a systematic review of methodological issues and approaches.

    Science.gov (United States)

    Harris, F M; Kendall, M; Bentley, A; Maguire, R; Worth, A; Murray, S; Boyd, K; Brown, D; Kearney, N; Sheikh, A

    2008-07-01

    The objectives of this review were to assess the methods and approaches applied to end-of-life cancer research based on papers focusing on approaches or methodological issues related to seeking the views of people affected by terminal cancer. A comprehensive search of 10 databases (January 1980-February 2004) was undertaken. References were screened, quality assessed and data extracted by two reviewers. Analysis followed a meta-narrative approach. Fifteen papers were included. They discussed 'traditional' approaches, such as focus groups, interviews, surveys, as well as innovative approaches allied to the arts. They reveal that mixed methods are gaining popularity. The emotional demands placed on researchers and the ethical issues involved in this research area were also discussed. We concluded that researchers should embrace innovative approaches from other areas of social science, such as the use of arts-based techniques. This may facilitate recruitment of the hard-to-reach groups and engage with experiences that may be otherwise difficult to verbalize. Although researching the needs of the dying carries challenges, these are not the exclusive domain of the cancer field. This study reveals that diverse methods, from research-based drama to postal questionnaires, can enhance end-of-life research. However, this review reveals the need for more methodological work to be undertaken and disseminated. PMID:18485015

  13. Toward automated classification of consumers' cancer-related questions with a new taxonomy of expected answer types.

    Science.gov (United States)

    McRoy, Susan; Jones, Sean; Kurmally, Adam

    2016-09-01

    This article examines methods for automated question classification applied to cancer-related questions that people have asked on the web. This work is part of a broader effort to provide automated question answering for health education. We created a new corpus of consumer-health questions related to cancer and a new taxonomy for those questions. We then compared the effectiveness of different statistical methods for developing classifiers, including weighted classification and resampling. Basic methods for building classifiers were limited by the high variability in the natural distribution of questions and typical refinement approaches of feature selection and merging categories achieved only small improvements to classifier accuracy. Best performance was achieved using weighted classification and resampling methods, the latter yielding an accuracy of F1 = 0.963. Thus, it would appear that statistical classifiers can be trained on natural data, but only if natural distributions of classes are smoothed. Such classifiers would be useful for automated question answering, for enriching web-based content, or assisting clinical professionals to answer questions. PMID:25759063

  14. Laser Raman detection for oral cancer based on an adaptive Gaussian process classification method with posterior probabilities

    Science.gov (United States)

    Du, Zhanwei; Yang, Yongjian; Bai, Yuan; Wang, Lijun; Su, Le; Chen, Yong; Li, Xianchang; Zhou, Xiaodong; Jia, Jun; Shen, Aiguo; Hu, Jiming

    2013-03-01

    The existing methods for early and differential diagnosis of oral cancer are limited due to the unapparent early symptoms and the imperfect imaging examination methods. In this paper, the classification models of oral adenocarcinoma, carcinoma tissues and a control group with just four features are established by utilizing the hybrid Gaussian process (HGP) classification algorithm, with the introduction of the mechanisms of noise reduction and posterior probability. HGP shows much better performance in the experimental results. During the experimental process, oral tissues were divided into three groups, adenocarcinoma (n = 87), carcinoma (n = 100) and the control group (n = 134). The spectral data for these groups were collected. The prospective application of the proposed HGP classification method improved the diagnostic sensitivity to 56.35% and the specificity to about 70.00%, and resulted in a Matthews correlation coefficient (MCC) of 0.36. It is proved that the utilization of HGP in LRS detection analysis for the diagnosis of oral cancer gives accurate results. The prospect of application is also satisfactory.

  15. Toward automated classification of consumers' cancer-related questions with a new taxonomy of expected answer types.

    Science.gov (United States)

    McRoy, Susan; Jones, Sean; Kurmally, Adam

    2016-09-01

    This article examines methods for automated question classification applied to cancer-related questions that people have asked on the web. This work is part of a broader effort to provide automated question answering for health education. We created a new corpus of consumer-health questions related to cancer and a new taxonomy for those questions. We then compared the effectiveness of different statistical methods for developing classifiers, including weighted classification and resampling. Basic methods for building classifiers were limited by the high variability in the natural distribution of questions and typical refinement approaches of feature selection and merging categories achieved only small improvements to classifier accuracy. Best performance was achieved using weighted classification and resampling methods, the latter yielding an accuracy of F1 = 0.963. Thus, it would appear that statistical classifiers can be trained on natural data, but only if natural distributions of classes are smoothed. Such classifiers would be useful for automated question answering, for enriching web-based content, or assisting clinical professionals to answer questions.

  16. Laser Raman detection for oral cancer based on an adaptive Gaussian process classification method with posterior probabilities

    International Nuclear Information System (INIS)

    The existing methods for early and differential diagnosis of oral cancer are limited due to the unapparent early symptoms and the imperfect imaging examination methods. In this paper, the classification models of oral adenocarcinoma, carcinoma tissues and a control group with just four features are established by utilizing the hybrid Gaussian process (HGP) classification algorithm, with the introduction of the mechanisms of noise reduction and posterior probability. HGP shows much better performance in the experimental results. During the experimental process, oral tissues were divided into three groups, adenocarcinoma (n = 87), carcinoma (n = 100) and the control group (n = 134). The spectral data for these groups were collected. The prospective application of the proposed HGP classification method improved the diagnostic sensitivity to 56.35% and the specificity to about 70.00%, and resulted in a Matthews correlation coefficient (MCC) of 0.36. It is proved that the utilization of HGP in LRS detection analysis for the diagnosis of oral cancer gives accurate results. The prospect of application is also satisfactory. (paper)

  17. Understanding the experiences and quality of life issues of Bahraini women with breast cancer.

    Science.gov (United States)

    Jassim, Ghufran A; Whitford, David L

    2014-04-01

    We explored the experiences of Bahraini women who have survived breast cancer and their perception of quality of life after diagnosis. We conducted in depth, semi-structured face-to-face interviews with twelve women diagnosed with breast cancer. A qualitative method using semi-structured interviews on a purposive sample of 12 Bahraini women with breast cancer was conducted. Similarities and differences in women's experience were identified through thematic analysis of interview transcripts using a constant comparative approach. The themes identified were meaning of cancer and quality of life, spirituality and beliefs about causes of breast cancer, coping mechanisms, impact of illness and change in relationships. Quality of life was framed in terms of the ability to perform daily duties with emphasis on the physical component of quality of life. Themes that differed from previous western studies included a heavy emphasis on spiritual practices for comfort; the use of traditional clothing (hijab and abaya) to hide hair and body changes; the important role played by the family and husband in treatment decisions and concerns regarding satisfying the sexual needs of the husband, which were related to a fear of losing the husband to a second wife. Evil eye, stress and God's punishment were believed to be fundamental causes of the disease. The emotional shock of the initial diagnosis, concerns about whether to reveal the diagnosis and a desire to live a normal life were consistent with previous studies. However, cultural and religious issues such as role of the husband and impact of prayers were also important here. These themes are important to healthcare professionals for ensuring an individualized approach to the treatment of women with breast cancer. PMID:24631996

  18. Interval-value Based Particle Swarm Optimization algorithm for cancer-type specific gene selection and sample classification

    Directory of Open Access Journals (Sweden)

    D. Ramyachitra

    2015-09-01

    Full Text Available Microarray technology allows simultaneous measurement of the expression levels of thousands of genes within a biological tissue sample. The fundamental power of microarrays lies within the ability to conduct parallel surveys of gene expression using microarray data. The classification of tissue samples based on gene expression data is an important problem in medical diagnosis of diseases such as cancer. In gene expression data, the number of genes is usually very high compared to the number of data samples. Thus the difficulty that lies with data are of high dimensionality and the sample size is small. This research work addresses the problem by classifying resultant dataset using the existing algorithms such as Support Vector Machine (SVM, K-nearest neighbor (KNN, Interval Valued Classification (IVC and the improvised Interval Value based Particle Swarm Optimization (IVPSO algorithm. Thus the results show that the IVPSO algorithm outperformed compared with other algorithms under several performance evaluation functions.

  19. Developing a novel nodal grading system to standardize nodal classification in gastric cancer patients with limited lymph node resection

    Institute of Scientific and Technical Information of China (English)

    2015-01-01

    Objective:To develop an easy applicable novel nodal grading system to improve the standardization of nodal classification in patients with limited lymphadenectomy. Methods: We formulated a new approach of nodal classification to classify this category of patients. Log-rank test was used for univariate analysis and Cox proportional hazards model was used for univariate and multivariate analysis. We used linear trendχ2 tests, likelihood ratioχ2 test and Akaike information criterion (AIC) value to assess the homogeneity, discriminatory ability and monotonicity of gradients of the two nodal staging systems.Results:Statistical analysis supported that both the hypothesized N’ stage and hypothesized TN’M stage outperforms the present AJCC/UICC staging system.Conclusion:We developed an easy applicable and reproducible novel nodal grading system that has a greater predicting value than the current AJCC/UICC staging system to classify gastric cancer patients with limited lymphadenectomy.

  20. Breast cancer: a study of the psychosocial issues faced by women undergoing radiation therapy

    International Nuclear Information System (INIS)

    The purpose of this study was to determine the psychosocial issues faced by post lumpectomy women with early stage breast cancer undergoing radical radiation to the affected breast. Twenty-five women in their second to fifth week of treatment were given the survey to determine these issues. Responses were then grouped by age category and results compiled. Regardless of age, a majority of women felt that they and their spouses had become closer since their diagnosis and described their spouses as being supportive. Scheduling appointment times around childcare was important for some women. Almost half of the women experienced a change in employment status as a result of their diagnosis. Appointment times and work schedules were important for some women still working. In all age groups, women experienced fatigue at least sometimes. (author)

  1. In this issue--engineering the immune system to fight cancer and infections.

    Science.gov (United States)

    Bot, Adrian

    2011-01-01

    As the immune system essentially evolved to fight off or keep at bay life-threatening infectious agents rather than cancer, the question remains as to how to best redeploy it for the treatment of a broader range of diseases. This is reflected by an unprecedented diversification of platform technologies in development, facilitated by rapid progress in biotechnology. In this issue, we host several contributions outlining major efforts in developing novel immune interventions spanning antigen-specific vaccination, non-antigen-targeted immune intervention, genetically engineered lymphocytes, and ultraspecific antigen-targeted ligands. In addition, the journal is hosting in this issue, two reviews discussing the complex matter and dynamic balance between immunity and viral infections, as the concept of fine modulation of that balance still carries the promise of yielding novel therapies.

  2. Ethical Issues in the End of Life Care for Cancer Patients in Iran

    Directory of Open Access Journals (Sweden)

    Mina Mobasher

    2013-02-01

    Full Text Available Background: In the recent years, advances in medical technologies for end stage cancer patients’ care have affected the end-of-life decision-making in clinical practice and exposed oncologists to serious ethical dilemmas. But little is known about oncologists' viewpoints in our country regarding their ethical problems in this mention. We aimed to clarify the ethical dilemmas which Iranian oncologists may face in our health care setting and to determine factors influencing decision-making process.Methods: In this qualitative study, a phenomenological approach was used. We interviewed 8 cancer specialists in teaching hospitals in Iran and used content analysis to identify codes and categorize themes in the data.Results: During the process of analysis, three main themes emerged about ethical dilemmas in end of life care for advanced cancer patients: illness factors, socio-cultural context and patient-physician relationship. Cancer specialists identified ethical problems on several main issues, the most important of which were telling the truth in Iranian cultural context, uncertainty in end stage definition, multidisciplinary team working and cost consideration in Iranian health care system.Conclusion: Health care and insurance system in Iran face to end of life care challenges; therefore, health care providers and policy makers need to allocate appropriate resources and programs to improve quality of care in terminal stages. Appropriate physicians’ communication skills training, multidisciplinary team working and supplementary insurance services that provide essential health care can improve the quality of care of patients with end stages of cancer. The findings of this study can help us to provide ethical policies for decision-making in end-of-life care.

  3. Urologic cancer in Japan: role of Japan at the frontier of issues in Asia.

    Science.gov (United States)

    Akaza, Hideyuki

    2016-01-01

    The characteristics of urological cancer in Japan can be summarized in the following points. (i) As the onset of this type of cancer is typically seen in elderly patients, it is becoming a major social issue in Japan that has already become an aging society. (ii) Many diverse treatment methods are available and a response is required that prioritizes quality of life. (iii) Although vigorous research and development efforts into new drugs are being carried out on a global level, resulting in beneficial medical agents becoming more readily available, unless concepts relating to cost vs. effectiveness are further developed and there is a real risk that medical systems and structures in their current form will become unsustainable. (iv) Although at the current point there are no original large-scale clinical trials being conducted in Asia, Japan has a wealth of experience of participating in many international joint clinical trials and it is therefore an urgent and pressing challenge to organize joint clinical trials in Asia and amass a body of knowledge that is unique to Asia. In view of this current situation and given Japan's position at the frontier of issues, it is important for Japan to take the initiative in Asia in cooperating with other Asian nations in efforts to resolve and overcome various challenges.

  4. Improved classification of lung cancer tumors based on structural and physicochemical properties of proteins using data mining models.

    Directory of Open Access Journals (Sweden)

    R Geetha Ramani

    Full Text Available Detecting divergence between oncogenic tumors plays a pivotal role in cancer diagnosis and therapy. This research work was focused on designing a computational strategy to predict the class of lung cancer tumors from the structural and physicochemical properties (1497 attributes of protein sequences obtained from genes defined by microarray analysis. The proposed methodology involved the use of hybrid feature selection techniques (gain ratio and correlation based subset evaluators with Incremental Feature Selection followed by Bayesian Network prediction to discriminate lung cancer tumors as Small Cell Lung Cancer (SCLC, Non-Small Cell Lung Cancer (NSCLC and the COMMON classes. Moreover, this methodology eliminated the need for extensive data cleansing strategies on the protein properties and revealed the optimal and minimal set of features that contributed to lung cancer tumor classification with an improved accuracy compared to previous work. We also attempted to predict via supervised clustering the possible clusters in the lung tumor data. Our results revealed that supervised clustering algorithms exhibited poor performance in differentiating the lung tumor classes. Hybrid feature selection identified the distribution of solvent accessibility, polarizability and hydrophobicity as the highest ranked features with Incremental feature selection and Bayesian Network prediction generating the optimal Jack-knife cross validation accuracy of 87.6%. Precise categorization of oncogenic genes causing SCLC and NSCLC based on the structural and physicochemical properties of their protein sequences is expected to unravel the functionality of proteins that are essential in maintaining the genomic integrity of a cell and also act as an informative source for drug design, targeting essential protein properties and their composition that are found to exist in lung cancer tumors.

  5. Towards optimised information about clinical trials; identification and validation of key issues in collaboration with cancer patient advocates

    DEFF Research Database (Denmark)

    Dellson, P; Nilbert, M; Bendahl, P-O;

    2011-01-01

    for improvements, 21 key issues were defined and validated through a questionnaire in an independent group of breast cancer patient advocates. Clear messages, emotionally neutral expressions, careful descriptions of side effects, clear comparisons between different treatment alternatives and information about......Clinical trials are crucial to improve cancer treatment but recruitment is difficult. Optimised patient information has been recognised as a key issue. In line with the increasing focus on patients' perspectives in health care, we aimed to study patients' opinions about the written information used...... the possibility to discontinue treatment were perceived as the most important issues. Patients' views of the information in clinical trials provide new insights and identify key issues to consider in optimising future written information and may improve recruitment to clinical cancer trials....

  6. Male coping with cancer-fertility issues: putting the 'social' into biopsychosocial approaches.

    Science.gov (United States)

    Crawshaw, Marilyn

    2013-09-01

    Biopsychosocial approaches in infertility and cancer services and research pay limited attention to 'social dimensions'. Additionally, existing cancer-related male infertility research is dominated by sperm banking studies even though fertility-related social concerns in the long term are reported to have an adverse effect on wellbeing. This paper considers whether social influences affected the fertility-related experiences of 28 men interviewed as part of a mixed-gender qualitative study of 'South Asian' and 'White' cancer survivors and their professional carers. Findings are reported under: managing stigma; sexuality and virility; ambiguity in fertile status; relationship to sperm; and meaning of fatherhood. Gender and other social influences were ambiguous, fluid and subtle--yet powerful. Combinations were neither standard nor static, indicating the dangers of practitioners stereotyping, and/or assuming homogeneity of, (in)fertile men and being unaware of their own socialized expectations. Social structures and attitudes towards valued male social roles as well as the men's psychological capacity and bodily state appear to affect experience. Men may more readily be engaged if practitioners proactively attend to the impact of social concerns, including employment and financial matters, on their perceived capacity to be fathers as a route into raising issues of sexuality and fertility.

  7. Appraisal of selected epidemiologic issues from studies of lung cancer among uranium and hard rock miners

    Energy Technology Data Exchange (ETDEWEB)

    Petersen, G R; Sever, L E

    1982-04-01

    An extensive body of published information about lung cancer among uranium miners was reviewed and diverse information, useful in identifying important issues but not in resolving them was found. Measuring exposure and response; thresholds of exposure; latency or the period from first mining experience to death; effort to predict excess risk of death, using a model; effects of smoking and radon daughter exposure on the histology of lung tumors; and the interplay of factors on the overall risk of death were all examined. The general concept of thresholds; that is, an exposure level below which risk does not increase was considered. The conclusion is that it should be possible to detect and estimate an epidemiologic threshold when the cohorts have been followed to the death of all members. Issues concerning latency in the studies of uranium miners published to date were examined. It is believed that the induction-latent period for lung cancer among uranium miners may be: as little as 10 to more than 40 years; dependent on age at which exposure begins; exposure rate; and ethnicity or smoking habits. Although suggested as factual, their existence is uncertain. An effect due to the exposure rate may exist although it has not been factual, their existence is uncertain. An effect due to the exposure rate may exist although it has not been confirmed. The median induction-latent period appears to be in excess of the 15 years frequently cited for US uranium miner. A distinct pattern of shorter induction-latent periods with increasing age at first mining exposure is reported. The evidence for and against an unusual histologic pattern of lung cancers among uranium miners was examined. The ratio of epidermoid to small cell types was close to 1:2; the ratio in the general population is nearer 2:1. The histologic pattern warrants closer attention of pathologists and epidemiologists. (ERB) (ERB)

  8. Appraisal of selected epidemiologic issues from studies of lung cancer among uranium and hard rock miners

    International Nuclear Information System (INIS)

    An extensive body of published information about lung cancer among uranium miners was reviewed and diverse information, useful in identifying important issues but not in resolving them was found. Measuring exposure and response; thresholds of exposure; latency or the period from first mining experience to death; effort to predict excess risk of death, using a model; effects of smoking and radon daughter exposure on the histology of lung tumors; and the interplay of factors on the overall risk of death were all examined. The general concept of thresholds; that is, an exposure level below which risk does not increase was considered. The conclusion is that it should be possible to detect and estimate an epidemiologic threshold when the cohorts have been followed to the death of all members. Issues concerning latency in the studies of uranium miners published to date were examined. It is believed that the induction-latent period for lung cancer among uranium miners may be: as little as 10 to more than 40 years; dependent on age at which exposure begins; exposure rate; and ethnicity or smoking habits. Although suggested as factual, their existence is uncertain. An effect due to the exposure rate may exist although it has not been factual, their existence is uncertain. An effect due to the exposure rate may exist although it has not been confirmed. The median induction-latent period appears to be in excess of the 15 years frequently cited for US uranium miner. A distinct pattern of shorter induction-latent periods with increasing age at first mining exposure is reported. The evidence for and against an unusual histologic pattern of lung cancers among uranium miners was examined. The ratio of epidermoid to small cell types was close to 1:2; the ratio in the general population is nearer 2:1. The histologic pattern warrants closer attention of pathologists and epidemiologists. (ERB)

  9. Reflections on the New Classification of Tumors by the WHO and Changes in Esophageal Cancer in a High-risk Area

    Institute of Scientific and Technical Information of China (English)

    Zhifeng Chen

    2006-01-01

    In year 2000, a book entitled the Pathology and Genetics of Tumors of the Digestive System was published by the WHO, presenting some new diagnostic criteria and treatment principles. I have analyzed the epidemiologic change of tumors in over 30 years in the high-risk area with esophageal cancer. The following phenomenon was found: accompanied by the sharp decrease in the incidence and mortality of esophageal cancer, there was an increase in the incidence and death rate of stomach cancer involving cardiac cancer. This fact should be considered when analyzing the sharp decrease in esophageal cancer incidence and mortality rate. More attention was given to diagnosis of cardiac cancer; at the same time it is more practical to improve the early screening of cancers. To observe the development of high and lowgrade intraepithelial neoplasms will be an urgent task for esophageal cancer research in the high risk area, according to WHO's new classification.

  10. mRMR-ABC: A Hybrid Gene Selection Algorithm for Cancer Classification Using Microarray Gene Expression Profiling

    Directory of Open Access Journals (Sweden)

    Hala Alshamlan

    2015-01-01

    Full Text Available An artificial bee colony (ABC is a relatively recent swarm intelligence optimization approach. In this paper, we propose the first attempt at applying ABC algorithm in analyzing a microarray gene expression profile. In addition, we propose an innovative feature selection algorithm, minimum redundancy maximum relevance (mRMR, and combine it with an ABC algorithm, mRMR-ABC, to select informative genes from microarray profile. The new approach is based on a support vector machine (SVM algorithm to measure the classification accuracy for selected genes. We evaluate the performance of the proposed mRMR-ABC algorithm by conducting extensive experiments on six binary and multiclass gene expression microarray datasets. Furthermore, we compare our proposed mRMR-ABC algorithm with previously known techniques. We reimplemented two of these techniques for the sake of a fair comparison using the same parameters. These two techniques are mRMR when combined with a genetic algorithm (mRMR-GA and mRMR when combined with a particle swarm optimization algorithm (mRMR-PSO. The experimental results prove that the proposed mRMR-ABC algorithm achieves accurate classification performance using small number of predictive genes when tested using both datasets and compared to previously suggested methods. This shows that mRMR-ABC is a promising approach for solving gene selection and cancer classification problems.

  11. mRMR-ABC: A Hybrid Gene Selection Algorithm for Cancer Classification Using Microarray Gene Expression Profiling.

    Science.gov (United States)

    Alshamlan, Hala; Badr, Ghada; Alohali, Yousef

    2015-01-01

    An artificial bee colony (ABC) is a relatively recent swarm intelligence optimization approach. In this paper, we propose the first attempt at applying ABC algorithm in analyzing a microarray gene expression profile. In addition, we propose an innovative feature selection algorithm, minimum redundancy maximum relevance (mRMR), and combine it with an ABC algorithm, mRMR-ABC, to select informative genes from microarray profile. The new approach is based on a support vector machine (SVM) algorithm to measure the classification accuracy for selected genes. We evaluate the performance of the proposed mRMR-ABC algorithm by conducting extensive experiments on six binary and multiclass gene expression microarray datasets. Furthermore, we compare our proposed mRMR-ABC algorithm with previously known techniques. We reimplemented two of these techniques for the sake of a fair comparison using the same parameters. These two techniques are mRMR when combined with a genetic algorithm (mRMR-GA) and mRMR when combined with a particle swarm optimization algorithm (mRMR-PSO). The experimental results prove that the proposed mRMR-ABC algorithm achieves accurate classification performance using small number of predictive genes when tested using both datasets and compared to previously suggested methods. This shows that mRMR-ABC is a promising approach for solving gene selection and cancer classification problems. PMID:25961028

  12. IDM-PhyChm-Ens: intelligent decision-making ensemble methodology for classification of human breast cancer using physicochemical properties of amino acids.

    Science.gov (United States)

    Ali, Safdar; Majid, Abdul; Khan, Asifullah

    2014-04-01

    Development of an accurate and reliable intelligent decision-making method for the construction of cancer diagnosis system is one of the fast growing research areas of health sciences. Such decision-making system can provide adequate information for cancer diagnosis and drug discovery. Descriptors derived from physicochemical properties of protein sequences are very useful for classifying cancerous proteins. Recently, several interesting research studies have been reported on breast cancer classification. To this end, we propose the exploitation of the physicochemical properties of amino acids in protein primary sequences such as hydrophobicity (Hd) and hydrophilicity (Hb) for breast cancer classification. Hd and Hb properties of amino acids, in recent literature, are reported to be quite effective in characterizing the constituent amino acids and are used to study protein foldings, interactions, structures, and sequence-order effects. Especially, using these physicochemical properties, we observed that proline, serine, tyrosine, cysteine, arginine, and asparagine amino acids offer high discrimination between cancerous and healthy proteins. In addition, unlike traditional ensemble classification approaches, the proposed 'IDM-PhyChm-Ens' method was developed by combining the decision spaces of a specific classifier trained on different feature spaces. The different feature spaces used were amino acid composition, split amino acid composition, and pseudo amino acid composition. Consequently, we have exploited different feature spaces using Hd and Hb properties of amino acids to develop an accurate method for classification of cancerous protein sequences. We developed ensemble classifiers using diverse learning algorithms such as random forest (RF), support vector machines (SVM), and K-nearest neighbor (KNN) trained on different feature spaces. We observed that ensemble-RF, in case of cancer classification, performed better than ensemble-SVM and ensemble-KNN. Our

  13. Oral epithelial dysplasia classification systems

    DEFF Research Database (Denmark)

    Warnakulasuriya, S; Reibel, J; Bouquot, J;

    2008-01-01

    At a workshop coordinated by the WHO Collaborating Centre for Oral Cancer and Precancer in the United Kingdom issues related to potentially malignant disorders of the oral cavity were discussed by an expert group. The consensus views of the Working Group are presented in a series of papers....... In this report, we review the oral epithelial dysplasia classification systems. The three classification schemes [oral epithelial dysplasia scoring system, squamous intraepithelial neoplasia and Ljubljana classification] were presented and the Working Group recommended epithelial dysplasia grading for routine...... use. Although most oral pathologists possibly recognize and accept the criteria for grading epithelial dysplasia, firstly based on architectural features and then of cytology, there is great variability in their interpretation of the presence, degree and significance of the individual criteria...

  14. A neglected issue on sexual well-being following breast cancer diagnosis and treatment among Chinese women.

    Directory of Open Access Journals (Sweden)

    Fengliang Wang

    Full Text Available BACKGROUND: Changes to sexual well-being can be one of the most problematic quality of life issues following the diagnosis and treatment of breast cancer. The objectives of the present study were to evaluate changes to sexual well-being following breast cancer, to expand upon the existing body of knowledge pertaining to breast cancer and sexuality, and to provide the necessary information for implementing future interventions that may help improve the quality of life in breast cancer patients. METHODS: This study was mixed with qualitative and quantitative designs. Twenty patients with breast cancer were recruited for in-depth interviews. The central questions covered a patient's cancer experience and perceptions of sexual activities following breast cancer. According to the findings of the qualitative study, we performed a quantitative study using a structured questionnaire to collect data on patient's experience and attitude to sexual well-being following breast cancer diagnosis and treatment. RESULTS: Based on the qualitative analysis, seven main themes emerged: (1 Decrease in sexual frequency; (2 Lack of sexual interest; (3 Menopausal symptoms; (4 Body image changes; (5 Effects on marital relationship; (6 Misconceptions about sex; (7 The need for professional consultation. Results from the quantitative study further supported the findings from the qualitative analysis, where changes to sexual well-being were common following cancer diagnosis and treatment and it was a neglected issue among Chinese women. CONCLUSIONS: The present study highlights the significant changes to sexual well-being following breast cancer, in addition to the lack of knowledge and misconceptions of sexual activity among patients. Addressing these problems will help improve a patient's quality of life. The findings of this study could help healthcare professionals recognize the sexual issues faced by women with breast cancer and ultimately promote a healthy life.

  15. Breast Cancer Survival Defined by the ER/PR/HER2 Subtypes and a Surrogate Classification according to Tumor Grade and Immunohistochemical Biomarkers

    Directory of Open Access Journals (Sweden)

    Carol A. Parise

    2014-01-01

    Full Text Available Introduction. ER, PR, and HER2 are routinely available in breast cancer specimens. The purpose of this study is to contrast breast cancer-specific survival for the eight ER/PR/HER2 subtypes with survival of an immunohistochemical surrogate for the molecular subtype based on the ER/PR/HER2 subtypes and tumor grade. Methods. We identified 123,780 cases of stages 1–3 primary female invasive breast cancer from California Cancer Registry. The surrogate classification was derived using ER/PR/HER2 and tumor grade. Kaplan-Meier survival analysis and Cox proportional hazards modeling were used to assess differences in survival and risk of mortality for the ER/PR/HER2 subtypes and surrogate classification within each stage. Results. The luminal B/HER2− surrogate classification had a higher risk of mortality than the luminal B/HER2+ for all stages of disease. There was no difference in risk of mortality between the ER+/PR+/HER2− and ER+/PR+/HER2+ in stage 3. With one exception in stage 3, the ER-negative subtypes all had an increased risk of mortality when compared with the ER-positive subtypes. Conclusions. Assessment of survival using ER/PR/HER2 illustrates the heterogeneity of HER2+ subtypes. The surrogate classification provides clear separation in survival and adjusted mortality but underestimates the wide variability within the subtypes that make up the classification.

  16. Mechanism-based classification and physical therapy management of persons with cancer pain: A prospective case series

    Directory of Open Access Journals (Sweden)

    Senthil P Kumar

    2013-01-01

    Full Text Available Context: Mechanism-based classification (MBC was established with current evidence and physical therapy (PT management methods for both cancer and for noncancer pain. Aims: This study aims to describe the efficacy of MBC-based PT in persons with primary complaints of cancer pain. Settings and Design: A prospective case series of patients who attended the physiotherapy department of a multispecialty university-affiliated teaching hospital. Material and Methods: A total of 24 adults (18 female, 6 male aged 47.5 ± 10.6 years, with primary diagnosis of heterogeneous group of cancer, chief complaints of chronic disabling pain were included in the study on their consent for participation The patients were evaluated and classified on the basis of five predominant mechanisms for pain. Physical therapy interventions were recommended based on mechanisms identified and home program was prescribed with a patient log to ensure compliance. Treatments were given in five consecutive weekly sessions for five weeks each of 30 min duration. Statistical Analysis Used: Pre-post comparisons for pain severity (PS and pain interference (PI subscales of Brief pain inventory-Cancer pain (BPI-CP and, European organization for research and treatment in cancer-quality of life questionnaire (EORTC-QLQ-C30 were done using Wilcoxon signed-rank test at 95% confidence interval using SPSS for Windows version 16.0 (SPSS Inc, Chicago, IL. Results: There were statistically significant ( P < 0.05 reduction in pain severity, pain interference and total BPI-CP scores, and the EORTC-QLQ-C30. Conclusion: MBC-PT was effective for improving BPI-CP and EORTC-QLQ-C30 scores in people with cancer pain.

  17. Classification of Breast Cancer Subtypes by combining Gene Expression and DNA Methylation Data

    DEFF Research Database (Denmark)

    List, Markus; Hauschild, Anne-Christin; Tan, Qihua;

    2014-01-01

    expression data for hundreds of patients, the challenge is to extract a minimal optimal set of genes with good prognostic properties from a large bulk of genes making a moderate contribution to classification. Several studies have successfully applied machine learning algorithms to solve this so-called gene...... on the transcriptomic, but also on an epigenetic level. We compared so-called random forest derived classification models based on gene expression and methylation data alone, to a model based on the combined features and to a model based on the gold standard PAM50. We obtained bootstrap errors of 10...

  18. Iranian Breast Cancer Bio-Bank: the activity and challenging issues.

    Science.gov (United States)

    Majidzadeh-A, Keivan; Kaviani, Ahmad; Esmaeili, Rezvan; Farahmand, Leila; Shojamoradi, Mohammad Hossein; Zare, Ali Akbar; Eini, Leila; Abbasvandi, Fereshteh; Olfatbakhsh, Asieh; Moazen, Hadi

    2013-03-01

    The information gained from the Human Genome Project has facilitated molecular as well as cellular studies not only to find the origins of Breast Cancer (BC), but also to create novel, and effective treatments. In order to provide an infrastructure for local and international research in this area, Iranian Center for Breast Cancer (ICBC) has established a Bio-Bank (BB) for BC. This article describes the aim, structure, and activities in general, and the challenging issues confronting the bank as a model for the establishment of Bio-Banks in developing countries in particular. The methods employed by the Bank could be explained in the following categories: Blood and Tissue sampling, Preparation and Banking of collected Samples, Clinical and Histopathology data collection, Collaboration Protocol, Challenging issues, and the programs to confront the problems. During the five-year activity of the bank, 110 families were enrolled for genetic counseling, from whom 600 biologic samples were obtained, including 387 blood samples and 213 tissue samples. Of 387 blood samples, 317 (82%) were found to belong to the BC patients and the remaining 70 (18%) belonged to their available relatives. The number of samples increased over the study period partly as a result of the programs designed to confront the problems. During the study period, there were some finished research studies using the samples of BB, and many other studies which are still ongoing. ICBC-BB is a model of biologic sample banking which provides a significant number of biological samples for local and international collaborative research projects regarding molecular and cellular aspects of BC. In establishing the ICBC-BB we have experienced problems and challenges, some general and some local. Some were expected and others not, but we have identified solutions.

  19. Ethical issues in autologous stem cell transplantation (ASCT in advanced breast cancer: A systematic literature review

    Directory of Open Access Journals (Sweden)

    Scheibler Fueloep

    2011-04-01

    Full Text Available Abstract Background An effectiveness assessment on ASCT in locally advanced and metastatic breast cancer identified serious ethical issues associated with this intervention. Our objective was to systematically review these aspects by means of a literature analysis. Methods We chose the reflexive Socratic approach as the review method using Hofmann's question list, conducted a comprehensive literature search in biomedical, psychological and ethics bibliographic databases and screened the resulting hits in a 2-step selection process. Relevant arguments were assembled from the included articles, and were assessed and assigned to the question list. Hofmann's questions were addressed by synthesizing these arguments. Results Of the identified 879 documents 102 included arguments related to one or more questions from Hofmann's question list. The most important ethical issues were the implementation of ASCT in clinical practice on the basis of phase-II trials in the 1990s and the publication of falsified data in the first randomized controlled trials (Bezwoda fraud, which caused significant negative effects on recruiting patients for further clinical trials and the doctor-patient relationship. Recent meta-analyses report a marginal effect in prolonging disease-free survival, accompanied by severe harms, including death. ASCT in breast cancer remains a stigmatized technology. Reported health-related-quality-of-life data are often at high risk of bias in favor of the survivors. Furthermore little attention has been paid to those patients who were dying. Conclusions The questions were addressed in different degrees of completeness. All arguments were assignable to the questions. The central ethical dimensions of ASCT could be discussed by reviewing the published literature.

  20. 6 Common Cancers - Breast Cancer

    Science.gov (United States)

    ... Home Current Issue Past Issues 6 Common Cancers - Breast Cancer Past Issues / Spring 2007 Table of Contents For ... slow her down. Photo: AP Photo/Brett Flashnick Breast Cancer Breast cancer is a malignant (cancerous) growth that ...

  1. PD-1/PD-L1 blockade in cancer treatment: perspectives and issues.

    Science.gov (United States)

    Hamanishi, Junzo; Mandai, Masaki; Matsumura, Noriomi; Abiko, Kaoru; Baba, Tsukasa; Konishi, Ikuo

    2016-06-01

    Recent studies showed that tumor cells 'edit' host immunity in several ways to evade immune defenses in the tumor microenvironment. This phenomenon is called "cancer immune escape." One of the most important components in this system is an immunosuppressive co-signal (immune checkpoint) mediated by the PD-1 receptor and its ligand, PD-L1. PD-1 is mainly expressed on activated T cells, whereas PD-L1 is expressed on several types of tumor cells. Preclinical studies have shown that inhibition of the interaction between PD-1 and PD-L1 enhances the T-cell response and mediates antitumor activity. Several clinical trials of PD-1/PD-L1 signal-blockade agents have exhibited dramatic antitumor efficacy in patients with certain types of solid or hematological malignancies. In this review, we highlight recent clinical trials using anti-PD-1 or anti-PD-L1 antibodies against several types of malignancies, including a trial conducted in our department, and describe the clinical perspectives and issues regarding the PD-1/PD-L1 blockade in cancer treatment. PMID:26899259

  2. Classification of follicular cell-derived thyroid cancer by global RNA profiling

    DEFF Research Database (Denmark)

    Rossing, Maria

    2013-01-01

    classifiers that may differentiate malignant from benign thyroid nodules. Molecular classification models based on global RNA profiles from fine-needle aspirations are currently being evaluated; results are preliminary and lack validation in prospective clinical trials. There is no doubt that molecular...

  3. Classification of Dukes' B and C colorectal cancers using expression arrays

    DEFF Research Database (Denmark)

    Frederiksen, C.M.; Knudsen, Steen; Laurberg, S.;

    2003-01-01

    and D could not be classified correctly. A number of interesting gene clusters showed a discriminating difference between Dukes' B and C samples. These included mitochondrial genes, stromal remodeling genes, and genes related to cell adhesion. Conclusion. Molecular classification based on gene...

  4. International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society International Multidisciplinary Classification of Lung Adenocarcinoma

    OpenAIRE

    Travis, William,; Brambilla, Elisabeth; Noguchi, Masayuki; Nicholson, Andrew; Geisinger, Kim,; Yatabe, Yasushi; Beer, David; Powell, Charles; Riely, Gregory; Van Schil, Paul; Garg, Kavita; Austin, John; Asamura, Hisao; Rusch, Valerie; Hirsch, Fred,

    2011-01-01

    International audience This new classification strategy is based on a multidisciplinary approach to diagnosis of lung adenocarcinoma that incorporates clinical, molecular, radiologic, and surgical issues, but it is primarily based on histology. This classification is intended to support clinical practice, and research investigation and clinical trials. As EGFR mutation is a validated predictive marker for response and progression-free survival with EGFR tyrosine kinase inhibitors in advanc...

  5. Femur fracture classification in women with a history of breast cancer

    Directory of Open Access Journals (Sweden)

    Stephanie Chau

    2014-05-01

    Conclusion: Most femur fractures in women with prior breast cancer occurred in the hip. Among younger women and those experiencing diaphyseal fractures, a larger proportion were pathologic and some were found to be atypical. Further studies should examine risk factors for femur fracture in women with breast cancer with specific attention to fracture subtype and pharmacologic exposures.

  6. Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results.

    NARCIS (Netherlands)

    Plon, S.E.; Eccles, D.M.; Easton, D.; Foulkes, W.D.; Genuardi, M.; Greenblatt, M.S.; Hogervorst, F.B.; Hoogerbrugge, N.; Spurdle, A.B.; Tavtigian, S.V.

    2008-01-01

    Genetic testing of cancer susceptibility genes is now widely applied in clinical practice to predict risk of developing cancer. In general, sequence-based testing of germline DNA is used to determine whether an individual carries a change that is clearly likely to disrupt normal gene function. Genet

  7. Automated breast cancer detection and classification using ultrasound images: A survey

    OpenAIRE

    Cheng, H. D.; JuanShan; WenJu; YanhuiGuo; Ling Zhang

    2010-01-01

    Breast cancer is the second leading cause of death for women all over the world. Since the cause of the disease remains unknown,early detection and diagnos is is the key for breast cancer control,and it can increase the success of treatment,save lives and reduce cost.

  8. Breathomics for Gastric Cancer Classification Using Back-propagation Neural Network.

    Science.gov (United States)

    Daniel, D Arul Pon; Thangavel, K

    2016-01-01

    Breathomics is the metabolomics study of exhaled air. It is a powerful emerging metabolomics research field that mainly focuses on health-related volatile organic compounds (VOCs). Since the quantity of these compounds varies with health status, breathomics assures to deliver noninvasive diagnostic tools. Thus, the main aim of breathomics is to discover patterns of VOCs related to abnormal metabolic processes occurring in the human body. Classification systems, however, are not designed for cost-sensitive classification domains. Therefore, they do not work on the gastric carcinoma (GC) domain where the benefit of correct classification of early stages is more than that of later stages, and also the cost of wrong classification is different for all pairs of predicted and actual classes. The aim of this work is to demonstrate the basic principles for the breathomics to classify the GC, for that the determination of VOCs such as acetone, carbon disulfide, 2-propanol, ethyl alcohol, and ethyl acetate in exhaled air and stomach tissue emission for the detection of GC has been analyzed. The breath of 49 GC and 30 gastric ulcer patients were collected for the study to distinguish the normal, suspected, and positive cases using back-propagation neural network (BPN) and produced the accuracy of 93%, sensitivity of 94.38%, and specificity of 89.93%. This study carries out the comparative study of the result obtained by the single- and multi-layer cascade-forward and feed-forward BPN with different activation functions. From this study, the multilayer cascade-forward outperforms the classification of GC from normal and benign cases. PMID:27563574

  9. The mammographic correlations of a new immunohistochemical classification of invasive breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Taneja, S. [Nottingham Breast Institute, City Hospital, Hucknall Road, Nottingham NG5 1PB (United Kingdom)], E-mail: sheeba_taneja@yahoo.co.uk; Evans, A.J. [Nottingham Breast Institute, City Hospital, Hucknall Road, Nottingham NG5 1PB (United Kingdom); Rakha, E.A.; Green, A.R. [Division of Pathology, School of Molecular Medical Sciences, Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham (United Kingdom); Ball, G. [Nottingham Trent University, School of Biomedical and Natural Sciences, Nottingham (United Kingdom); Ellis, I.O. [Division of Pathology, School of Molecular Medical Sciences, Nottingham University Hospitals NHS Trust and University of Nottingham, Nottingham (United Kingdom)

    2008-11-15

    Aim: Recent protein expression profiling of breast cancer has identified specific subtypes with clinical, biological, and therapeutic implications. The aim of this study was to identify the mammographic correlates of these novel molecular classes of invasive breast cancer. Materials and methods: The mammographic findings of 415 patients with operable breast cancer were correlated with the previously described protein expression classes identified by our group using immunohistochemical (IHC) assessment of a large series of breast cancer cases prepared as tissue microarrays (TMAs). Twenty-five proteins of known relevance in breast cancer were assessed, including hormone receptors, HER-2 status, basal and luminal markers, p53 expression, and E-cadherin. Results: The mammographic background pattern and proportion of lesions that were mammographically occult were similar in all groups. Groups characterized by luminal and hormone receptor positivity had significantly more spiculate lesions at mammography. Groups characterized by HER-2 overexpression, basal characteristics, and E-cadherin positivity had a significantly higher proportion of ill-defined masses. These findings were independent of histological grade. Conclusion: The mammographic features of breast cancer show significant correlation with molecular classes of invasive breast cancer identified by protein expression IHC analysis. The biological reasons for the findings and implications of these regarding imaging protocols require further study and may provide mechanisms for improvement of detection of these lesions.

  10. A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability

    NARCIS (Netherlands)

    H.M.J. Sontrop; P.D. Moerland; R. van den Ham; M.J.T. Reinders; W.F.J. Verhaegh

    2009-01-01

    Background: Large discrepancies in signature composition and outcome concordance have been observed between different microarray breast cancer expression profiling studies. This is often ascribed to differences in array platform as well as biological variability. We conjecture that other reasons for

  11. Classification of Epstein-Barr virus-positive gastric cancers by definition of DNA methylation epigenotypes.

    Science.gov (United States)

    Matsusaka, Keisuke; Kaneda, Atsushi; Nagae, Genta; Ushiku, Tetsuo; Kikuchi, Yasuko; Hino, Rumi; Uozaki, Hiroshi; Seto, Yasuyuki; Takada, Kenzo; Aburatani, Hiroyuki; Fukayama, Masashi

    2011-12-01

    Epstein-Barr virus (EBV) is associated with Burkitt lymphoma, nasopharyngeal carcinoma, opportunistic lymphomas in immunocompromised hosts, and a fraction of gastric cancers. Aberrant promoter methylation accompanies human gastric carcinogenesis, though the contribution of EBV to such somatic methylation changes has not been fully clarified. We analyzed promoter methylation in gastric cancer cases with Illumina's Infinium BeadArray and used hierarchical clustering analysis to classify gastric cancers into 3 subgroups: EBV(-)/low methylation, EBV(-)/high methylation, and EBV(+)/high methylation. The 3 epigenotypes were characterized by 3 groups of genes: genes methylated specifically in the EBV(+) tumors (e.g., CXXC4, TIMP2, and PLXND1), genes methylated both in EBV(+) and EBV(-)/high tumors (e.g., COL9A2, EYA1, and ZNF365), and genes methylated in all of the gastric cancers (e.g., AMPH, SORCS3, and AJAP1). Polycomb repressive complex (PRC) target genes in embryonic stem cells were significantly enriched among EBV(-)/high-methylation genes and commonly methylated gastric cancer genes (P = 2 × 10(-15) and 2 × 10(-34), respectively), but not among EBV(+) tumor-specific methylation genes (P = 0.2), suggesting a different cause for EBV(+)-associated de novo methylation. When recombinant EBV was introduced into the EBV(-)/low-methylation epigenotype gastric cancer cell, MKN7, 3 independently established subclones displayed increases in DNA methylation. The promoters targeted by methylation were mostly shared among the 3 subclones, and the new methylation changes caused gene repression. In summary, DNA methylation profiling classified gastric cancer into 3 epigenotypes, and EBV(+) gastric cancers showed distinct methylation patterns likely attributable to EBV infection.

  12. [Treatment Ideas and Methods for Treating Breast Cancer Guided by Molecular Classification].

    Science.gov (United States)

    Wang, Hui-jie; Wang, Zhao-xia; Wan, Dong-gui; Li, Pei-wen

    2016-04-01

    The gene types of breast cancer can be classified into three types according to its molecules: Luminal type A, Luminal type B, HER-2-positive type, triple negative type. Authors combined pathological characteristics of breast cancer, biological characteristics, and comprehensive treatment, used syndrome typing based medication, and explored treatment meticulous ideas and methods of "treating the same disease with different methods" as well as "different treatment methods in accordance with patients individually". PMID:27323624

  13. Nasal metastases from renal cell carcinoma are associated with Memorial Sloan-Kettering Cancer Center poor-prognosis classification

    Institute of Scientific and Technical Information of China (English)

    Caroline Victoria Choong; Tiffany Tang; Wen Yee Chay; Christopher Goh; Miah Hiang Tay; Nor Azhari Mohd Zam; Puay Hoon Tan; Min-Han Tan

    2011-01-01

    Unusual sites of metastases are recognized in patients with renai cell carcinoma (RCC). However, the prognostic implications of these sites are not well understood. We used the Memorial Sloan-Kettering Cancer Center (MSKCC) risk classification for metastatic RCC to evaluate 912 consecutive patients with RCC managed at the Singapore General Hospital between 1990 and 2009. Among these patients, 301 had metastases either at diagnosis or during the course of illness. Nasal metastases, all arising from clear cell RCC, were identified histologically in 4 patients (1.3% of those with metastasis). All 4 patients were classified as MSKCC poor prognosis by current risk criteria. Nasal metastases were significantly associated with lung and bone metastases. The frequency of nasal metastases in patients with metastatic RCC is about 1%, occurring predominantly in patients with clear cell RCC. Nasal metastases are associated with poor prognosis as estimated by the MSKCC risk classification, with attendant implications for selection of targeted therapy, and are usually associated with multi-organ dissemination, including concurrent lung and bone involvement.

  14. Side effects of cancer therapies. International classification and documentation systems; Nebenwirkungen in der Onkologie. Internationale Systematik und Dokumentation

    Energy Technology Data Exchange (ETDEWEB)

    Seegenschmiedt, M.H. [Erlangen-Nuernberg Univ., Erlangen (Germany). Klinik und Poliklinik fuer Strahlentherapie

    1998-11-01

    The publication presents and explains verified, international classification and documentation systems for side effects induced by cancer treatments, applicable in general and clinical practice and clinical research, and covers in a clearly arranged manner the whole range of treatments, including acute and chronic side effects of chemotherapy and radiotherapy, surgery, or combined therapies. The book fills a long-felt need in tumor documentation and is a major contribution to quality assurance in clinical oncology in German-speaking countries. As most parts of the book are bilingual, presenting German and English texts and terminology, it satisfies the principles of interdisciplinarity and internationality. The tabulated form chosen for presentation of classification systems and criteria facilitate the user`s approach as well as application in daily work. (orig./CB) [Deutsch] International abgesicherte Klassifikationen von Nebenwirkungen in der Onkologie - anwendbar in Praxis, Klinik und klinischer Forschung - stehen im Mittelpunkt dieses Werkes. Dies bezieht akute und chronische Nebenwirkungen nach Chemo- und Radiotherapie, Chirurgie oder kombinierten Therapieverfahren mit ein. Das Buch schliesst eine grosse Luecke in der Tumordokumentation und traegt somit wesentlich zur Qualitaetssicherung in der klinischen Onkologie im deutschsprachigen Raum bei. Durch die meist zweisprachige Ausfuehrung in Englisch und Deutsch erfuellt es das Prinzip der Interdisziplinaritaet sowie das Prinzip der Internationalitaet. Die tabellarische Darstellung erleichtert die praktische Arbeit, und die vorgeschlagenen Formblaetter unterstuetzen die praktische Umsetzung im Alltag. (orig.)

  15. Identification of immune cell infiltration in hematoxylin-eosin stained breast cancer samples: texture-based classification of tissue morphologies

    Science.gov (United States)

    Turkki, Riku; Linder, Nina; Kovanen, Panu E.; Pellinen, Teijo; Lundin, Johan

    2016-03-01

    The characteristics of immune cells in the tumor microenvironment of breast cancer capture clinically important information. Despite the heterogeneity of tumor-infiltrating immune cells, it has been shown that the degree of infiltration assessed by visual evaluation of hematoxylin-eosin (H and E) stained samples has prognostic and possibly predictive value. However, quantification of the infiltration in H and E-stained tissue samples is currently dependent on visual scoring by an expert. Computer vision enables automated characterization of the components of the tumor microenvironment, and texture-based methods have successfully been used to discriminate between different tissue morphologies and cell phenotypes. In this study, we evaluate whether local binary pattern texture features with superpixel segmentation and classification with support vector machine can be utilized to identify immune cell infiltration in H and E-stained breast cancer samples. Guided with the pan-leukocyte CD45 marker, we annotated training and test sets from 20 primary breast cancer samples. In the training set of arbitrary sized image regions (n=1,116) a 3-fold cross-validation resulted in 98% accuracy and an area under the receiver-operating characteristic curve (AUC) of 0.98 to discriminate between immune cell -rich and - poor areas. In the test set (n=204), we achieved an accuracy of 96% and AUC of 0.99 to label cropped tissue regions correctly into immune cell -rich and -poor categories. The obtained results demonstrate strong discrimination between immune cell -rich and -poor tissue morphologies. The proposed method can provide a quantitative measurement of the degree of immune cell infiltration and applied to digitally scanned H and E-stained breast cancer samples for diagnostic purposes.

  16. Towards optimised information about clinical trials; identification and validation of key issues in collaboration with cancer patient advocates

    DEFF Research Database (Denmark)

    Dellson, P; Nilbert, M; Bendahl, P-O;

    2011-01-01

    Clinical trials are crucial to improve cancer treatment but recruitment is difficult. Optimised patient information has been recognised as a key issue. In line with the increasing focus on patients' perspectives in health care, we aimed to study patients' opinions about the written information us...

  17. Current Issues of Targeted Therapy in Metastatic Triple-Negative Breast Cancer

    OpenAIRE

    Liedtke, Cornelia; Kiesel, Ludwig

    2011-01-01

    Patients with triple-negative breast cancer are characterized by a poor prognosis compared with patients with other breast cancer subtypes. The angiogenesis inhibitor bevacizumab is effective in the palliative treatment of patients with triple-negative breast cancer as well as in other breast cancer subtypes. PARP inhibitors represent the first group of targeted agents to be developed under the particular aspect of treating patients with hereditary and triple-negative breast cancer. In additi...

  18. Statistical Redundancy Testing for Improved Gene Selection in Cancer Classification Using Microarray Data

    Directory of Open Access Journals (Sweden)

    J. Sunil Rao

    2007-01-01

    Full Text Available In gene selection for cancer classifi cation using microarray data, we define an eigenvalue-ratio statistic to measure a gene’s contribution to the joint discriminability when this gene is included into a set of genes. Based on this eigenvalueratio statistic, we define a novel hypothesis testing for gene statistical redundancy and propose two gene selection methods. Simulation studies illustrate the agreement between statistical redundancy testing and gene selection methods. Real data examples show the proposed gene selection methods can select a compact gene subset which can not only be used to build high quality cancer classifiers but also show biological relevance.

  19. Radon and lung cancer - history and current issues; Radon und Lungenkrebs - Historie und aktuelle Probleme

    Energy Technology Data Exchange (ETDEWEB)

    Jacobi, W. [Inst. fuer Strahlenschutz, GSF, Neuherberg (Germany)

    1994-02-01

    Its historical roots date back to the late middle ages when silver mining was started in the Schneeberg region. Today the problem of mining-associated exposure to radon persists in uranium mining. In addition there is the problem of radon exposure in building which has been detected some 20 years ago. The author briefly surveys the history and causes of radon exposure and resulting issues of modern radiation protection. Inhalation of indoor-air-borne radon decay products in buildings consitutes the greatest shave of the population`s exposure to natural and artificial radiation sources. Next to tobacco smoking, these natural radionuclides have to be rated as the most important environmental noxions agent for lung cancer induction. (Uhe) [Deutsch] Die Wurzeln der Historie reichen bis in das spaete Mittelalter zurueck, als im Raum Schneeberg mit dem Silberbergbau begonnen wurde. Heute findet das Radon-Problem im Bergbau seine Fortsetzung im Uranbergbau. Hinzu kommt die vor ca. 20 Jahren einsetzende Erkennung des Radon-Problems in Haeusern. Der Artikel gibt einen kurzen Ueberblick ueber die Historie und die Ursachen des Radon-Problems sowie die daraus resultierenden aktuellen Fragen des Strahlenschutzes. Die Inhalation der Radon-Zerfallsprodukte in der Innenraumluft der Haeuser verursacht nicht nur den weitaus groessten Beitrag zur Strahlenbelastung der Bevoelkerung aus natuerlichen und kuenstlichen Strahlenquellen. Nach dem Rauchen sind diese natuerlichen Radionuklide als wichtigste Umweltnoxe fuer die Induktion von Lungenkrebs einzustufen. (Uhe)

  20. Second St. Gallen European Organisation for Research and Treatment of Cancer Gastrointestinal Cancer Conference: consensus recommendations on controversial issues in the primary treatment of rectal cancer.

    Science.gov (United States)

    Lutz, Manfred P; Zalcberg, John R; Glynne-Jones, Rob; Ruers, Theo; Ducreux, Michel; Arnold, Dirk; Aust, Daniela; Brown, Gina; Bujko, Krzysztof; Cunningham, Christopher; Evrard, Serge; Folprecht, Gunnar; Gerard, Jean-Pierre; Habr-Gama, Angelita; Haustermans, Karin; Holm, Torbjörn; Kuhlmann, Koert F; Lordick, Florian; Mentha, Gilles; Moehler, Markus; Nagtegaal, Iris D; Pigazzi, Alessio; Puciarelli, Salvatore; Roth, Arnaud; Rutten, Harm; Schmoll, Hans-Joachim; Sorbye, Halfdan; Van Cutsem, Eric; Weitz, Jürgen; Otto, Florian

    2016-08-01

    Primary treatment of rectal cancer was the focus of the second St. Gallen European Organisation for Research and Treatment of Cancer (EORTC) Gastrointestinal Cancer Conference. In the context of the conference, a multidisciplinary international expert panel discussed and voted on controversial issues which could not be easily answered using published evidence. Main topics included optimal pretherapeutic imaging, indication and type of neoadjuvant treatment, and the treatment strategies in advanced tumours. Here we report the key recommendations and summarise the related evidence. The treatment strategy for localised rectal cancer varies from local excision in early tumours to neoadjuvant radiochemotherapy (RCT) in combination with extended surgery in locally advanced disease. Optimal pretherapeutic staging is a key to any treatment decision. The panel recommended magnetic resonance imaging (MRI) or MRI + endoscopic ultrasonography (EUS) as mandatory staging modalities, except for early T1 cancers with an option for local excision, where EUS in addition to MRI was considered to be most important because of its superior near-field resolution. Primary surgery with total mesorectal excision was recommended by most panellists for some early tumours with limited risk of recurrence (i.e. cT1-2 or cT3a N0 with clear mesorectal fascia on MRI and clearly above the levator muscles), whereas all other stages were considered for multimodal treatment. The consensus panel recommended long-course RCT over short-course radiotherapy for most clinical situations where neoadjuvant treatment is indicated, with the exception of T3a/b N0 tumours where short-course radiotherapy or even no neoadjuvant therapy were regarded to be an option. In patients with potentially resectable tumours and synchronous liver metastases, most panel members did not see an indication to start with classical fluoropyrimidine-based RCT but rather favoured preoperative short-course radiotherapy with systemic

  1. Towards a molecular classification of colorectal cancer: The role of BRAF

    Directory of Open Access Journals (Sweden)

    Alexandra eThiel

    2013-11-01

    Full Text Available Different genetic aberrations of BRAF have been reported in various malignancies. BRAF is member of the RAS/RAF/MEK/ERK pathway and constitutive activity of this pathway can lead to increased cellular growth, invasion, and metastasis. The most common activating BRAF mutation in colorectal cancer is the V600E mutation, which is present in 5-15% of all tumors, and up to 80% of tumors with high microsatellite instability harbor this mutation. BRAF mutation is associated with proximal location, higher age, female gender, MSI-H, high grade, and mucinous histology, and is a marker of poor prognosis in colorectal cancer. The role of BRAF mutation as a predictive marker in respect of EGFR targeted treatments is controversial. BRAF V600 selective inhibitors have been approved for the treatment of V600 mutation positive metastatic melanoma, but the response rates in colorectal cancer are poor. This might be due to innate resistance mechanisms of colorectal cancers against the treatment solely targeting BRAF. To overcome resistance the combination of treatments, simultaneous inhibition of BRAF and MEK or PI3K/mTOR, might emerge as a successful therapeutic concept.

  2. 6 Common Cancers - Prostate Cancer

    Science.gov (United States)

    ... PSA tests. Read More "6 Common Cancers" Articles Lung Cancer / Breast Cancer / Prostate Cancer / Colorectal Cancer / Skin Cancer / Gynecologic Cancers Spring 2007 Issue: Volume 2 Number 2 Page 10 MedlinePlus | Subscribe | Magazine Information | Contact Us | Viewers & ...

  3. 6 Common Cancers - Colorectal Cancer

    Science.gov (United States)

    ... certain people. Read More "6 Common Cancers" Articles Lung Cancer / Breast Cancer / Prostate Cancer / Colorectal Cancer / Skin Cancer / Gynecologic Cancers Spring 2007 Issue: Volume 2 Number 2 Page 11 MedlinePlus | Subscribe | Magazine Information | Contact Us | Viewers & ...

  4. A 30-year perspective on psychosocial issues in lung cancer: how lung cancer "Came out of the Closet".

    Science.gov (United States)

    Weiss, Talia; Weinberger, Mark; Schwerd, Arielle M; Holland, Jimmie

    2012-11-01

    Psychological responses to lung cancer have changed over the past 30 years as perceptions of the disease have changed. Previously seen as a fatal diagnosis, it is now regarded as a cancer whose treatment is increasingly effective as the science of the disease advances. The stigma of smoking is diminishing as more is learned about genetic factors and as more nonsmokers are diagnosed. Support groups are now widely available. The increasing social support and greater knowledge of lung cancer provide a more supportive environment in which patients cope with lung cancer today compared with 30 years ago.

  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. Choice of adjuvant drug therapy on the basis of the molecular classification of breast cancer

    Directory of Open Access Journals (Sweden)

    N. S. Besova

    2012-01-01

    Full Text Available Molecular genetic analysis identified some biological subtypes of breast cancer (BC: luminal A, luminal B, HER2 positive, and basal-like (including triple negative. The surrogate clinical and morphological criteria including the immunohistochemical determination of estrogen and progesterone receptors, the hyperexpression and/or amplification of HER2, Ki-67, or tumor grade (G are used to identify the biological subtypes of BC in clinical practice. The biological subtypes are distinguished by their biological course and susceptibility to various systemic treatments, which requires different therapeutic tactics. The paper presents tactics of adjuvant therapy for BC in relation to its biological subtype according to the recommendations of the 12th St. Gallen International Breast Cancer Conference (2011 and considers the place of taxans.

  7. Influence of trihalomethanes according to Koppën climatological classification and Lang's index, on mortality associated with stomach and bladder cancer by geographic areas in Spain

    Directory of Open Access Journals (Sweden)

    Patricia Jiménez Restrepo

    2011-12-01

    Full Text Available The present study aims to determine the levels of trihalomethanes (THMs in drinking water from different Spanish cities, and assess whether the temperature and rainfall influence them. Also assess the possible association of THM to mortality from stomach cancer and bladder. For this we took water samples from 49 cities in 2002, 2005 and 2006, which were analyzed by gas chromatography coupled with mass spectrometry obtaining THM levels. Climatic classifications were made according Koppën Lang and index the data of temperature and precipitation, and finally death rates from cancer of the stomach and bladder were standardized by sex and age. We found a decrease in the levels of THMs in Spain over time, managing to be below the limits established by Royal Decree 140/2003, but three cities studied. The results indicate that climatic classifications most of the Spanish territory has a temperate climate type - Wet. However it was found that different climatic zones exhibit an influence on the levels of THMs. Nor was significant correlation of the levels of THM with cancer of stomach and bladder, but is significant between stomach cancer and Köppen climate classification. It should continue with studies that include other variables allow clarifying and / or strengthening these results.

  8. Comparison of Supervised Classification Methods for Protein Profiling in Cancer Diagnosis

    OpenAIRE

    Nadège Dossat; Alain Mangé; Jérôme Solassol; William Jacot; Ludovic Lhermitte; Thierry Maudelonde; Jean-Pierre Daurès; Nicolas Molinari

    2007-01-01

    Summary: A key challenge in clinical proteomics of cancer is the identification of biomarkers that could allow detection, diagnosis and prognosis of the diseases. Recent advances in mass spectrometry and proteomic instrumentations offer unique chance to rapidly identify these markers. These advances pose considerable challenges, similar to those created by microarray-based investigation, for the discovery of pattern of markers from high-dimensional data, specific to each pathologic state (e.g...

  9. Prognostic classification index in Iranian colorectal cancer patients: Survival tree analysis

    OpenAIRE

    Malehi, Amal Saki; Rahim, Fakher

    2016-01-01

    Aims: The aim of this study was to determine the prognostic index for separating homogenous subgroups in colorectal cancer (CRC) patients based on clinicopathological characteristics using survival tree analysis. Methods: The current study was conducted at the Research Center of Gastroenterology and Liver Disease, Shahid Beheshti Medical University in Tehran, between January 2004 and January 2009. A total of 739 patients who already have been diagnosed with CRC based on pathologic report were...

  10. Toward a Molecular Classification of Colorectal Cancer: The Role of MGMT

    Science.gov (United States)

    Minoo, Parham

    2013-01-01

    O6-methylguanine DNA methyltransferase (MGMT) is a DNA repair enzyme with the ability to protect cells from DNA mutations by removing alkyl groups from the O6 position of guanine. Colon mucosa is exposed to the direct effects of environmental carcinogens and therefore maintaining a proficient DNA repair system is very important to stay protected against DNA mutagenesis. Loss of MGMT expression is almost exclusively associated with methylation of CpG islands in the MGMT gene promoter region which is found in approximately 40% of colorectal cancers. The role of MGMT loss in colorectal tumorigenesis is complex but numerous studies have documented methylation of this gene even in the normal appearing mucosa as well as in aberrant crypt foci, suggesting that MGMT methylation can be regarded as an early event or “field defect” in colon cancer neoplasia. The focus of this perspective is the role of MGMT in different pathways of colorectal carcinogenesis as well as the implication of this molecule in treatment decisions in colorectal cancer patients. PMID:24151575

  11. Towards a molecular classification of colorectal cancer: The role of MGMT

    Directory of Open Access Journals (Sweden)

    Parham eMinoo

    2013-10-01

    Full Text Available O6-methylguanine DNA methyltransferase (MGMT is a DNA repair enzyme with the ability to protect cells from DNA mutations by removing alkyl groups from the O6 position of guanine. Colon mucosa is exposed to the direct effects of environmental carcinogens and therefore maintaining a proficient DNA repair system is very important to stay protected against DNA mutagenesis. Loss of MGMT expression is almost exclusively associated with methylation of CpG islands in the MGMT gene promoter region which is found in approximately 40% of colorectal cancers. The role of MGMT loss in colorectal tumorigenesis is complex but numerous studies have documented methylation of this gene even in the normal appearing mucosa as well as in aberrant crypt foci, suggesting that MGMT methylation can be regarded as an early event or field defect in colon cancer neoplasia. The focus of this perspective is the role of MGMT in different pathways of colorectal carcinogenesis as well as the implication of this molecule in treatment decisions in colorectal cancer patients.

  12. Classification of special breast cancer and the principles in diagnosis and treatment%特殊类型乳腺癌分类及诊治原则

    Institute of Scientific and Technical Information of China (English)

    姜军

    2013-01-01

    因病理和临床医生的关注点不同,对特殊类型乳腺癌的定义理解也不尽相同.世界卫生组织(WHO)于2012年发布的“肿瘤组织学和遗传学分类”(第4版)中介绍了《乳腺肿瘤组织学分类》的变化,从外科临床工作的角度将特殊类型乳腺癌进行分类.提出:对特殊类型乳腺癌应加强临床总结;对特殊情况乳腺癌在临床治疗上应区别对待.分子分型的提出对非特殊型浸润性乳腺癌组织学分型的意义提出了挑战.特殊类型乳腺癌外科的循证研究尚显不足,需进行更广泛的研究和实践.%From the aspect of pathology and the viewpoint of clinicians, the definitions of "special breast cancer" differ. This paper briefly introduced the "WHO classification of tumors of the breast" in "Histological and genetic classification of tumors" released by WHO in 2012, and classified the special breast cancers based on clinical experience. The main conclusions were listed as follows: it is necessary to summarize the clinical classification of special types of breast cancer; the treatment for the unusual conditions should be individualized. The molecular subtyping gives a challenge to the histological classification of "non-special type of invasive breast cancer . All in all, the evidence-based research for surgical treatment against "special breast cancer" is insufficient, which requires more extensive studies.

  13. Carcinoma de mama: novos conceitos na classificação Breast cancer: new concepts in classification

    Directory of Open Access Journals (Sweden)

    Daniella Serafin Couto Vieira

    2008-01-01

    and the basis for and improved breast cancer molecular taxonomy. Another important implication is that genetic profiling may lead to the identification of new target for therapy and better predictive markers are needed to guide difficult treatment decisions. Additionally, the current pathology classification system is suboptimal, since patients with identical tumor types and stage of disease present different responses to therapy and different overall outcomes. Basal breast tumor represents one of the most intriguing subtypes and is frequently associated with poor prognosis and absence of putative therapeutic targets. Then, the purpose of this review was to resume the most recent knowledge about the breast carcinoma classification and characterization.

  14. 6 Common Cancers - Lung Cancer

    Science.gov (United States)

    ... Home Current Issue Past Issues 6 Common Cancers - Lung Cancer Past Issues / Spring 2007 Table of Contents For ... for Desperate Housewives. (Photo ©2005 Kathy Hutchins / Hutchins) Lung Cancer Lung cancer causes more deaths than the next ...

  15. 6 Common Cancers - Skin Cancer

    Science.gov (United States)

    ... Home Current Issue Past Issues 6 Common Cancers - Skin Cancer Past Issues / Spring 2007 Table of Contents For ... Photo: AP Photo/Herald-Mail, Kevin G. Gilbert Skin Cancer Skin cancer is the most common form of ...

  16. Clinical utility of reverse phase protein array for molecular classification of breast cancer.

    Science.gov (United States)

    Negm, Ola H; Muftah, Abir A; Aleskandarany, Mohammed A; Hamed, Mohamed R; Ahmad, Dena A J; Nolan, Christopher C; Diez-Rodriguez, Maria; Tighe, Patrick J; Ellis, Ian O; Rakha, Emad A; Green, Andrew R

    2016-01-01

    Reverse Phase Protein Array (RPPA) represents a sensitive and high-throughput technique allowing simultaneous quantitation of protein expression levels in biological samples. This study aimed to confirm the ability of RPPA to classify archival formalin-fixed paraffin-embedded (FFPE) breast cancer tissues into molecular classes used in the Nottingham prognostic index plus (NPI+) determined by immunohistochemistry (IHC). Proteins were extracted from FFPE breast cancer tissues using three extraction protocols: the Q-proteome FFPE Tissue Kit (Qiagen, Hilden, Germany) and two in-house methods using Laemmli buffer with either incubation for 20 min or 2 h at 105 °C. Two preparation methods, full-face sections and macrodissection, were used to assess the yield and quality of protein extracts. Ten biomarkers used for the NPI+ (ER, PgR, HER2, Cytokeratins 5/6 and 7/8, EGFR, HER3, HER4, p53 and Mucin 1) were quantified using RPPA and compared to results determined by IHC. The Q-proteome FFPE Tissue Kit produced significantly higher protein concentration and signal intensities. The intra- and inter-array reproducibility assessment indicated that RPPA using FFPE lysates was a highly reproducible and robust technique. Expression of the biomarkers individually and in combination using RPPA was highly consistent with IHC results. Macrodissection of the invasive tumour component gave more reliable results with the majority of biomarkers determined by IHC, (80 % concordance) compared with full-face sections (60 % concordance). Our results provide evidence for the technical feasibility of RPPA for high-throughput protein expression profiling of FFPE breast cancer tissues. The sensitivity of the technique is related to the quality of extracted protein and purity of tumour tissue. RPPA could provide a quantitative technique alternative to IHC for the biomarkers used in the NPI+.

  17. Coregistered photoacoustic and ultrasound imaging and classification of ovarian cancer: ex vivo and in vivo studies

    Science.gov (United States)

    Salehi, Hassan S.; Li, Hai; Merkulov, Alex; Kumavor, Patrick D.; Vavadi, Hamed; Sanders, Melinda; Kueck, Angela; Brewer, Molly A.; Zhu, Quing

    2016-04-01

    Most ovarian cancers are diagnosed at advanced stages due to the lack of efficacious screening techniques. Photoacoustic tomography (PAT) has a potential to image tumor angiogenesis and detect early neovascular changes of the ovary. We have developed a coregistered PAT and ultrasound (US) prototype system for real-time assessment of ovarian masses. Features extracted from PAT and US angular beams, envelopes, and images were input to a logistic classifier and a support vector machine (SVM) classifier to diagnose ovaries as benign or malignant. A total of 25 excised ovaries of 15 patients were studied and the logistic and SVM classifiers achieved sensitivities of 70.4 and 87.7%, and specificities of 95.6 and 97.9%, respectively. Furthermore, the ovaries of two patients were noninvasively imaged using the PAT/US system before surgical excision. By using five significant features and the logistic classifier, 12 out of 14 images (86% sensitivity) from a malignant ovarian mass and all 17 images (100% specificity) from a benign mass were accurately classified; the SVM correctly classified 10 out of 14 malignant images (71% sensitivity) and all 17 benign images (100% specificity). These initial results demonstrate the clinical potential of the PAT/US technique for ovarian cancer diagnosis.

  18. Clinical study of quantitative diagnosis of early cervical cancer based on the classification of acetowhitening kinetics

    Science.gov (United States)

    Wu, Tao; Cheung, Tak-Hong; Yim, So-Fan; Qu, Jianan Y.

    2010-03-01

    A quantitative colposcopic imaging system for the diagnosis of early cervical cancer is evaluated in a clinical study. This imaging technology based on 3-D active stereo vision and motion tracking extracts diagnostic information from the kinetics of acetowhitening process measured from the cervix of human subjects in vivo. Acetowhitening kinetics measured from 137 cervical sites of 57 subjects are analyzed and classified using multivariate statistical algorithms. Cross-validation methods are used to evaluate the performance of the diagnostic algorithms. The results show that an algorithm for screening precancer produced 95% sensitivity (SE) and 96% specificity (SP) for discriminating normal and human papillomavirus (HPV)-infected tissues from cervical intraepithelial neoplasia (CIN) lesions. For a diagnostic algorithm, 91% SE and 90% SP are achieved for discriminating normal tissue, HPV infected tissue, and low-grade CIN lesions from high-grade CIN lesions. The results demonstrate that the quantitative colposcopic imaging system could provide objective screening and diagnostic information for early detection of cervical cancer.

  19. [New FIGO classification of ovarian, fallopian tube and primary peritoneal cancer].

    Science.gov (United States)

    Höhn, A K; Einenkel, J; Wittekind, C; Horn, L-C

    2014-07-01

    During recent years paramount changes have occurred in the pathogenesis of ovarian cancer and recent clinical studies identified new prognostic factors. Consequently, the FIGO has established a new staging system collectively covering carcinomas derived from the ovaries, the fallopian tubes and primary peritoneal cancers as well as malignant ovarian germ cell and sex-cord stromal tumors. The new staging system started on 01 January 2014. Major changes occurred in the FIGO IC/T1c stage with surgical spill (FIGO IC1/T1c1) versus capsule ruptured before surgery or tumor on ovarian or fallopian tube surface (FIGO IC2/T1c2) versus malignant cells in the ascites or peritoneal washings (FIGO IC3/T1c3). The regional lymph node metastases were subcategorised using a cut-off value of 10 mm as the largest dimension of the metastatic deposits. Distant metastases (excluding peritoneal metastases) were substaged as FIGO IVA/M1a in cases of cytologically or histologically proven pleural involvement and as FIGO IVB/M1b in cases of parenchymal metastases and metastases in extra-abdominal organs (including lymph nodes outside the peritoneal cavity and the inguinal lymph nodes). PMID:24899496

  20. Endoscopic and endobronchial ultrasonography according to the proposed lymph node map definition in the seventh edition of the tumor, node, metastasis classification for lung cancer.

    Science.gov (United States)

    Tournoy, Kurt G; Annema, Jouke T; Krasnik, Mark; Herth, Felix J F; van Meerbeeck, Jan P

    2009-12-01

    Accurate assessment of lymph node involvement is a critical step in patients with non-small cell lung cancer in the absence of distant metastases. The International Association for the Study of Lung Cancer has proposed a new lymph node map, which provides precise anatomic definitions for all intrathoracic lymph nodes. Transoesophageal endoscopic ultrasound with fine-needle aspiration and endobronchial ultrasound with transbronchial needle aspiration are two minimally invasive techniques that are increasingly implemented in the staging of non-small cell lung cancer. Therefore, recognition of the proposed anatomic borders by these techniques is very relevant for an accurate clinical staging. We here discuss the reach and limits of endoscopic ultrasound in the precise delineation and approach of the intrathoracic lymph nodes according to the new lymph node map for the seventh edition of the tumor, node, metastasis classification for lung cancer. PMID:19884852

  1. Obesity, metabolic dysregulation, and cancer: a growing concern and an inflammatory (and microenvironmental) issue.

    Science.gov (United States)

    Hursting, Stephen D; Dunlap, Sarah M

    2012-10-01

    Obesity is an established risk and progression factor for many cancers. In the United States more than one-third of adults, and nearly one in five children, are currently obese. Thus, a better understanding of the mechanistic links between obesity and cancer is urgently needed to identify intervention targets and strategies to offset the procancer effects of obesity. This review synthesizes the evidence on key biological mechanisms underlying the obesity-cancer association, with particular emphasis on obesity-associated enhancements in growth factor signaling, inflammation, and perturbations in the tumor microenvironment. These interrelated pathways and processes represent mechanistic targets for disrupting the obesity-cancer link.

  2. Impact of esophageal cancer staging on overall survival and disease-free survival based on the 2010 AJCC classification by lymph nodes

    International Nuclear Information System (INIS)

    This retrospective study investigated the effect of modifications presented in the seventh edition of the American Joint Committee on Cancer (AJCC) Manual for staging esophageal cancer on the characterization of the effectiveness of post-operative chemotherapy and/or radiotherapy, as measured by overall and disease-free survival. The seventh edition of the AJCC Manual classifies the number of lymph nodes (N) positive for regional metastasis into three subclasses. We used the AJCC classification system to characterize the cancers of 413 Chinese patients with esophageal cancer who underwent radical resection plus regional lymph node dissection over a 10-year period. The 10-year survival rate was 14.3% for stage N1 patients and 6.1% for stage N2 patients. Only one stage N3 patient was followed >4 years (53.4 months). The 10-year disease-free rate was 13.6% for stage N1 patients. Patients with stage N2 or N3 cancer were more likely to have tumor recurrences, metastases or death than patients with stage N1 cancer. Post-operative radiotherapy provided no survival benefit, and may have had a negative effect on survival. In this study, the N stage of esophageal cancer was an independent factor affecting overall and disease-free survival. Our results did not clarify whether or not radiotherapy after radical esophagectomy offers any survival benefit to patients with esophageal cancer. (author)

  3. Taxonomies in L1 and L2 Reading Strategies: A Critical Review of Issues Surrounding Strategy-Use Definitions and Classifications in Previous Think-Aloud Research

    Science.gov (United States)

    Alkhaleefah, Tarek A.

    2016-01-01

    Considering the various classifications of L1 and L2 reading strategies in previous think-aloud studies, the present review aims to provide a comprehensive look into those various taxonomies reported in major L1 and L2 reading studies. The rationale for this review is not only to offer a comprehensive overview of the different classifications in…

  4. Is cancer a disease that can be cured? An answer based on a new classification of diseases

    CERN Document Server

    Richmond, Peter

    2016-01-01

    Is cancer a disease that can be cured or a degenerative disease which comes predominantly with old age? We give an answer based on a two-dimensional representation of diseases. These two dimensions are defined as follows. In mortality curves there is an age, namely a_c = 10 years, which plays a crucial role in the sense that the mortality rate decreases in the interval I1=(aa_c). The respective trends in I1 and I2 are the two parameters used in our classification of diseases. Within the framework of reliability analysis, I1 and I2 would be referred to as the "burn-in" and "wear-out" phases. This leads to define three broad groups of diseases. (AS1) Asymmetry with prevalence of I1. (AS2) Asymmetry with prevalence of I2. (S) Symmetry, with I1 and I2 both playing roles of comparable importance. Not surprisingly, among AS1-cases one finds all diseases due to congenital malformations. In the AS2-class one finds degenerative diseases, e.g. Alzheimer's disease. Among S-cases one finds most diseases due to external p...

  5. Constructing Support Vector Machine Ensembles for Cancer Classification Based on Proteomic Profiling

    Institute of Scientific and Technical Information of China (English)

    Yong Mao; Xiao-Bo Zhou; Dao-Ying Pi; You-Xian Sun

    2005-01-01

    In this study, we present a constructive algorithm for training cooperative support vector machine ensembles (CSVMEs). CSVME combines ensemble architecture design with cooperative training for individual SVMs in ensembles. Unlike most previous studies on training ensembles, CSVME puts emphasis on both accuracy and collaboration among individual SVMs in an ensemble. A group of SVMs selected on the basis of recursive classifier elimination is used in CSVME, and the number of the individual SVMs selected to construct CSVME is determined by 10-fold cross-validation. This kind of SVME has been tested on two ovarian cancer datasets previously obtained by proteomic mass spectrometry. By combining several individual SVMs, the proposed method achieves better performance than the SVME of all base SVMs.

  6. A Gene Selection Approach based on Clustering for Classification Tasks in Colon Cancer

    Directory of Open Access Journals (Sweden)

    José Antonio CASTELLANOS GARZÓN

    2016-06-01

    Full Text Available Gene selection (GS is an important research area in the analysis of DNA-microarray data, since it involves gene discovery meaningful for a particular target annotation or able to discriminate expression profiles of samples coming from different populations. In this context, a wide number of filter methods have been proposed in the literature to identify subsets of relevant genes in accordance with prefixed targets. Despite the fact that there is a wide number of proposals, the complexity imposed by this problem (GS remains a challenge. Hence, this paper proposes a novel approach for gene selection by using cluster techniques and filter methods on the found groupings to achieve informative gene subsets. As a result of applying our methodology to Colon cancer data, we have identified the best informative gene subset between several one subsets. According to the above, the reached results have proven the reliability of the approach given in this paper.

  7. Texture Classification using Artificial Neural Network for Diagnosis of Skin Cancer

    Directory of Open Access Journals (Sweden)

    Dalia N. Abdul-Wadood

    2014-07-01

    Full Text Available This paper attempts to improve the efficiency of the system that proposed in [1] to determine whether a given skin lesion microscopic image is malignant or benign; in case of malignancy, the system can specify its type; whether it is squamous cell carcinoma or basal cell carcinoma (the two leading skin cancer types. The testing of this system was conducted using 80 microscopic images of skin tissues of the types normal, benign and the two types of skin cancer (squamous and basal; the images have been collected from different hospital pathology departments as part of the research work. Some of the collected samples have been used as training and others as testing materials. The proposed system consists of 3 main steps. First, extraction of a set of textural descriptors to localize the abnormal visual attributes which may appear in the tested skin tissue images. Second, selection of the best discriminating texture features. Third, identify the type of skin tissue images using artificial neural network (ANN. In the training phase, the system was trained using 50 skin tissue images, the textural features extracted from training samples were analyzed and their discrimination powers were evaluated in order to get a list of the most suitable features for auto recognition task. When ANN is trained on co-occurrence features the attained allocation accuracy rates was (%97.71 and the diagnosis accuracy rate was (%98.75. While when using ANN with combinations of different types of textural features; the allocation accuracy rate reached to (%97.90 while the diagnosis accuracy rate became (%98.75

  8. Cancer and Intellectual Disability: A Review of Some Key Contextual Issues

    Science.gov (United States)

    Hogg, James; Tuffrey-Wijne, Irene

    2008-01-01

    Research into the health of people with intellectual disabilities has increasingly focused on the occurrence of cancer in this population. Information on the incidence and prevalence of cancer is reviewed in both institutional and community settings. Examples of environmental causation are considered including "Helicobacter pylori."…

  9. Is cardiac toxicity a relevant issue in the radiation treatment of esophageal cancer?

    NARCIS (Netherlands)

    Beukema, Jannet C; van Luijk, Peter; Widder, Joachim; Langendijk, Johannes A; Muijs, Christina T

    2015-01-01

    Purpose: In recent years several papers have been published on radiation-induced cardiac toxicity, especially in breast cancer patients. However, in esophageal cancer patients the radiation dose to the heart is usually markedly higher. To determine whether radiation-induced cardiac toxicity is also

  10. 15 CFR 2008.9 - Classification guides.

    Science.gov (United States)

    2010-01-01

    ... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Classification guides. 2008.9 Section... REPRESENTATIVE Derivative Classification § 2008.9 Classification guides. Classification guides shall be issued by... direct derivative classification, shall identify the information to be protected in specific and...

  11. 32 CFR 2400.15 - Classification guides.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Classification guides. 2400.15 Section 2400.15... Derivative Classification § 2400.15 Classification guides. (a) OSTP shall issue and maintain classification guides to facilitate the proper and uniform derivative classification of information. These guides...

  12. Bilateral image subtraction features for multivariate automated classification of breast cancer risk

    Science.gov (United States)

    Celaya-Padilla, Jose M.; Rodriguez-Rojas, Juan; Galván-Tejada, Jorge I.; Martínez-Torteya, Antonio; Treviño, Victor; Tamez-Peña, José G.

    2014-03-01

    Early tumor detection is key in reducing breast cancer deaths and screening mammography is the most widely available method for early detection. However, mammogram interpretation is based on human radiologist, whose radiological skills, experience and workload makes radiological interpretation inconsistent. In an attempt to make mammographic interpretation more consistent, computer aided diagnosis (CADx) systems has been introduced. This paper presents an CADx system aimed to automatically triage normal mammograms form suspicious mammograms. The CADx system co-reregister the left and breast images, then extracts image features from the co-registered mammographic bilateral sets. Finally, an optimal logistic multivariate model is generated by means of an evolutionary search engine. In this study, 440 subjects form the DDSM public data sets were used: 44 normal mammograms, 201 malignant mass mammograms, and 195 mammograms with malignant calci cations. The results showed a cross validation accuracy of 0.88 and an area under receiver operating characteristic (AUC) of 0.89 for the calci cations vs. normal mammograms. The optimal mass vs. normal mammograms model obtained an accuracy of 0.85 and an AUC of 0.88.

  13. Machine learning-based receiver operating characteristic (ROC) curves for crisp and fuzzy classification of DNA microarrays in cancer research.

    Science.gov (United States)

    Peterson, Leif E; Coleman, Matthew A

    2008-01-01

    Receiver operating characteristic (ROC) curves were generated to obtain classification area under the curve (AUC) as a function of feature standardization, fuzzification, and sample size from nine large sets of cancer-related DNA microarrays. Classifiers used included k nearest neighbor (kNN), näive Bayes classifier (NBC), linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), learning vector quantization (LVQ1), logistic regression (LOG), polytomous logistic regression (PLOG), artificial neural networks (ANN), particle swarm optimization (PSO), constricted particle swarm optimization (CPSO), kernel regression (RBF), radial basis function networks (RBFN), gradient descent support vector machines (SVMGD), and least squares support vector machines (SVMLS). For each data set, AUC was determined for a number of combinations of sample size, total sum[-log(p)] of feature t-tests, with and without feature standardization and with (fuzzy) and without (crisp) fuzzification of features. Altogether, a total of 2,123,530 classification runs were made. At the greatest level of sample size, ANN resulted in a fitted AUC of 90%, while PSO resulted in the lowest fitted AUC of 72.1%. AUC values derived from 4NN were the most dependent on sample size, while PSO was the least. ANN depended the most on total statistical significance of features used based on sum[-log(p)], whereas PSO was the least dependent. Standardization of features increased AUC by 8.1% for PSO and -0.2% for QDA, while fuzzification increased AUC by 9.4% for PSO and reduced AUC by 3.8% for QDA. AUC determination in planned microarray experiments without standardization and fuzzification of features will benefit the most if CPSO is used for lower levels of feature significance (i.e., sum[-log(p)] ~ 50) and ANN is used for greater levels of significance (i.e., sum[-log(p)] ~ 500). When only standardization of features is performed, studies are likely to benefit most by using CPSO for low levels

  14. Clinical audit on "Evaluation of special issues in adolescents with cancer treated in an adult cancer setting": An Indian experience

    Directory of Open Access Journals (Sweden)

    Naveen S Salins

    2012-01-01

    Results: Pain was the most common physical symptom seen in all 10 patients. 3 out of 10 patients were involved in decision making, 3 out of 10 patients had identity issues and 4 out of 10 patients had peer group isolation issues. Only 3 were aware of diagnosis and none were aware of treatment outcomes and mortality. 4 out of 10 had anxiety and depression and 3 out of 10 had body image issues. Sexuality, spiritual and existential issues were not explored in any of the patients studied. Conclusion: The outcomes of the study were in an adult oncology setting there was a poor recognition of key adolescent issues such as sexuality, body image, identity and peer group isolation. The psychosocial supports to these adolescents were minimal and spiritual and existential issues were not explored. The inferences drawn from this study suggested a need for multidisciplinary team approach oriented in handling adolescent care needs and preferably to have a dedicated space that will help the peer group to interact, bond and cope better with the illness.

  15. Colorectal Cancer in the Family: Psychosocial Distress and Social Issues in the Years Following Genetic Counselling

    OpenAIRE

    Bleiker Eveline MA; Menko Fred H; Kluijt Irma; Taal Babs G; Gerritsma Miranda A; Wever Lidwina DV; Aaronson Neil K

    2007-01-01

    Abstract Background This study examined: (1) levels of cancer-specific distress more than one year after genetic counselling for hereditary nonpolyposis colorectal cancer (HNPCC); (2) associations between sociodemographic, clinical and psychosocial factors and levels of distress; (3) the impact of genetic counselling on family relationships, and (4) social consequences of genetic counselling. Methods In this cross-sectional study, individuals who had received genetic counselling for HNPCC dur...

  16. Cardiotoxicity of cancer therapeutics: current issues in screening, prevention and therapy

    Directory of Open Access Journals (Sweden)

    Richard Joseph Sheppard

    2013-03-01

    Full Text Available In the context of modern cancer chemotherapeutics, cancer survivors are living longer and being exposed to potential comorbidities related to non-cancer side effects of such treatments. With close monitoring of cancer patients receiving potentially cardiotoxic medical therapies, oncologists and cardiologists alike are identifying patients in both clinical and subclinical phases of cardiovascular disease related to such chemotherapies. Specifically, cardiotoxicity at the level of the myocardium and potential for the development of heart failure are becoming a growing concern with increasing survival of cancer patients.Traditional chemotherapeutic agents used commonly in the treatment of breast cancer and hematologic malignancies, such as anthracyclines and HER-2 antagonists, are well known to be associated with cardiovascular sequelae. Patients often present without symptoms and an abnormal cardiac imaging study performed as part of routine evaluation of patients receiving cardiotoxic therapies. Additionally, patients can present with signs and symptoms of cardiovascular disease months to years after receiving the chemotherapies. As the understanding of the physiology underlying the various cancers has grown, therapies have been developed that target specific molecules that represent key aspects of physiologic pathways responsible for cancer growth. Inhibition of these pathways, such as those involving tyrosine kinases, has lead to the potential for cardiotoxicity as well. In view of the potential cardiotoxicity of specific chemotherapies, there is a growing interest in identifying patients who are at risk of cardiotoxicity prior to becoming symptomatic or developing cardiotoxicity that may limit the use of potentially life-saving chemotherapy agents. Serological markers and novel cardiac imaging techniques have become the source of many investigations with the goal of screening patients for pre-clinical cardiotoxicity. Additionally, studies have

  17. Issues Related to Implementing a Smoking Cessation Clinical Trial for Cancer Patients1

    OpenAIRE

    Martinez, Elisa; Tatum, Kristina L.; Weber, Dorothy M.; Kuzla, Natalie; Pendley, Anna B.S.; Campbell, Kirsten; Ridge, John A; Langer, Corey; Miyamoto, Curtis; Schnoll, Robert A.

    2008-01-01

    Given high rates of smoking among cancer patients, smoking cessation treatment is crucial, yet limited data exist to guide integration of such trials into the oncologic context. To determine the feasibility of conducting smoking cessation clinical trials with cancer patients, screening and baseline data from a large randomized placebo-controlled pharmacotherapy trial were analyzed. Descriptive statistics and regression analyses were used to compare enrollees to decliners, describe program enr...

  18. Breast cancer screening in the working population. Current status and future issues in Tokyo

    International Nuclear Information System (INIS)

    We conducted a comparative study of breast cancer mass screening by the Tokyo Health Service Association for the regional and working population. The mammographic screening rate has been over 90% for all examinees since 2004, and the rate of inspection and palpation has been almost 0% in the regional population, although the rate was still 24% of all screenings among the working population even in 2006. In the working population the average age at which breast cancer screening was done was younger than in the regional population. The proportion of the population under 40 was 38.4% in 2003 and 35.7% in 2006, and in this population the rates of mammography, ultrasonography, and inspection and palpation were almost the same. This suggests a degree of confusion about breast cancer screening among younger women. The breast cancer detection rate was significantly better in the regional than in the working population. However, there was no significant difference in the rate between the two populations in the 40- to 59- year age range. In conclusion, the breast cancer screening system for the regional population has been improved as a result of the official notices of the Ministry of Health, Labour and Welfare. On the other hand, the data for the working population have not been favorable because of age-related factors and the methods used for screening. It will be necessary to refine the screening system for the working population to improve not only screening efficacy but also the breast cancer mortality rate. (author)

  19. Important issues of cancer metastasis%癌转移研究的几个重要问题

    Institute of Scientific and Technical Information of China (English)

    汤钊猷

    2014-01-01

    The 5-year survival rates of small liver cancer resection were no longer improved in the past 40 years,indicating the importance of studies on cancer metastasis.Several important issues of cancer metastasis will be delineated:(1)Changing concepts of cancer metastasis:Cancer metastasis is a systemic issue,metastatic potential of cancer originated from pri-mary tumor,cancer stem cell is the key component of cancer metastasis,metastatic potential also influenced by immuneinflammatory microenvironment,metastatic potential is an alterable event.(2) The pro-metastatic effect of cancer eradication:In Liver Cancer Institute of Fudan University,experimental studies using human hepatocellular carcinoma nude mice model with high metastatic potential indicated that palliative resection,radiotherapy,chemotherapy,hepatic artery ligation and molecular targeted therapies that target to VEGF (eg.Sorafenib) promoted the metastatic potential of residual cancer,mainly via hypoxia,inflammation and immuno-suppression with different molecular alterations.Interestingly,effective intervention that inhibits metastasis and prolongs survival has been found using clinical available drugs in experimental studies.Such as cytokine (interferon),anti-inflammatories (aspirin and zoledronic acid),herbal medicine (Songyou Yin) and Tanshinone Ⅱ A,a novel tripeptide-tyroserleutide,etc.(3) Systemic intervention,including nervous system,immunotherapy,endocrinal intervention,as well as metabolic intervention,etc.were briefly discussed.%40年来小肝癌切除患者5年生存率没有提高的原因是肿瘤的转移复发,提示研究癌转移的重要性.由此简单论述癌转移研究的几个问题.(1)癌转移观念的更新:癌转移是全身性问题,癌转移潜能起源于原发肿瘤,肿瘤干细胞是癌转移的关键,癌转移还受免疫炎症微环境的影响,癌转移潜能可双向改变.(2)杀癌疗法促进残癌转移:复旦大学附属中山医院肝癌研究所采用高

  20. Colorectal Cancer in the Family: Psychosocial Distress and Social Issues in the Years Following Genetic Counselling

    Directory of Open Access Journals (Sweden)

    Bleiker Eveline MA

    2007-06-01

    Full Text Available Abstract Background This study examined: (1 levels of cancer-specific distress more than one year after genetic counselling for hereditary nonpolyposis colorectal cancer (HNPCC; (2 associations between sociodemographic, clinical and psychosocial factors and levels of distress; (3 the impact of genetic counselling on family relationships, and (4 social consequences of genetic counselling. Methods In this cross-sectional study, individuals who had received genetic counselling for HNPCC during 1986–1998 completed a self-report questionnaire by mail. Results 116 individuals (81% response rate completed the questionnaire, on average 4 years after the last counselling session. Of all respondents, 6% had clinically significant levels of cancer-specific distress (Impact of Event Scale, IES. Having had contact with a professional psychosocial worker for cancer risk in the past 10 years was significantly associated with higher levels of current cancer specific distress. Only a minority of the counselees reported any adverse effects of genetic counselling on: communication about genetic counselling with their children (9%, family relationships (5%, obtaining life insurance (8%, choice or change of jobs (2%, and obtaining a mortgage (2%. Conclusion On average, four years after genetic counselling for HNPCC, only a small minority of counselled individuals reports clinically significant levels of distress, or significant family or social problems.

  1. Technical issues and new devices of ESD of early gastric cancer

    Institute of Scientific and Technical Information of China (English)

    Wan Sik Lee; Jin Woong Cho; Young Dae Kim; Kyu Jong Kim; Byung Ik Jang

    2011-01-01

    Endoscopic submucosal dissection (ESD) is a highly refined technique compared to conventional endoscopic mucosal resection. It enables complete resection of early gastric cancer (EGC) which has no possibility of lymph node metastasis. Indication for ESD of EGC generally entails early gastric cancer confined to the mucosa with well differentiated histology, though there are clinically suitable expanded criteria. As ESD requires specific skill and expertise, endoscopists need to be familiarized with basic methods and the use of special devices. The essence of the technique is to dissect the submucosal layer with direct vision and maintain the cutting plane above the underlying proper muscle layer. Although there are some differences in the detailed technical aspect, the cardinal method of ESD is now well established and standardized. Furthermore, research and development of new ESD devices that render more efficient, safe ESD are still in progress to improve the overall result of ESD on early gastric cancer.

  2. The Significance of Molecular Classification in Breast Cancer for Prognosis%乳腺癌分子分型对乳腺癌预后的意义

    Institute of Scientific and Technical Information of China (English)

    王会东

    2013-01-01

    Objective To investigate the molecular classification and prognosis of breast cancer and the relationship between . Methods Retrospective analysis of 316 cases of female primary breast cancer patients with the clinical pathological ,average age 54.5 years.According to estrogen receptor (ER),pregnancy hormone receptor (PR) and human epidermal growth factor receptor 2(HER2) immu-nohistochemical findings,breast cancer types as type Luminal A ,type Luminal B,triple-negative and HER2 positive type,differences in mo-lecular classification of breast cancer prognosis were observed ,various types of patients with postoperative disease -free survival were com-pared.Results The patients were followed up for 5~124 months,a median follow-up time of 58 months,32 patients had recurrence of metas-tasis or death,the single factor analysis showed that the breast cancer disease free survival and molecular types had relation .Conclusion The molecular classification of breast cancer accurately reflects the prognosis of breast cancer .Type Luminal has the best prognosis ,while triple-negative has the worst prognosis .%  目的 探讨乳腺癌分子分型与预后之间的关系。方法 回顾性分析316例原发性乳腺癌患者的临床病理资料,患者均为女性,平均年龄54.5岁。根据雌激素受体(ER)、孕激素受体(PR)及人类表皮生长因子受体2(HER2)的免疫组织化学结果,乳腺癌分型为Luminal A型、Luminal B型、三阴型及 HER2阳性型,观察不同分子分型乳腺癌的预后,比较各型患者术后的无病生存期。结果 随访5~124个月,中位随访时间58个月,32例患者复发转移或死亡,单因素分析示乳腺癌无病生存期与分子分型有关。结论 乳腺癌的分子分型能够准确反映乳腺癌的预后,Luminal型预后最好,而三阴型预后最差。

  3. Issues in Designing/Developing Clinical Program Content for a Cancer Center Web Site

    OpenAIRE

    Lundy, Alalia; Salmons, Theodora Xenia

    2001-01-01

    Content Management for healthcare websites entails the creation, modification, and removal of clinical information on a website by web development technical teams. This poster addresses issues in successful clinical website Content Management. The main obstacle to successful Content Management is the challenge of interaction between healthcare (clinical content) provider and technocrat (web developer). When developing the presentation of clinical information, the foremost issue (after informa...

  4. Regional radiotherapy in high-risk breast cancer: is the issue solved?

    DEFF Research Database (Denmark)

    Krause, M; Petersen, C; Offersen, B V;

    2015-01-01

    Adjuvant radiotherapy is the treatment standard for breast cancer with lymph node metastases after breast-conserving surgery or mastectomy. The inclusion of regional lymph nodes into the treatment volumes has been a question in recent clinical trials. Their impact on treatment standards and open...

  5. Psychosocial and Quality of Life Issues in Prostate and Ovarian Cancer

    NARCIS (Netherlands)

    J.B. Madalinska

    2007-01-01

    textabstractProstate and ovarian cancers are among the leading causes of death in Western countries. Applied preventive health strategies, including screening and early medical treatments either with prophylactic or curative intention, may substantially affect patients’ quality of life (QOL). This t

  6. Specific psychosocial issues of individuals undergoing genetic counseling for cancer - a literature review

    NARCIS (Netherlands)

    W. Eijzenga; D.E.E. Hahn; N.K. Aaronson; I. Kluijt; E.M.A. Bleiker

    2013-01-01

    Approximately 25 % of individuals undergoing genetic counseling for cancer experiences clinically relevant levels of distress, anxiety and/or depression. However, these general psychological outcomes that are used in many studies do not provide detailed information on the specific psychosocial probl

  7. Lymph node-positive prostate cancer: current issues, emerging technology and impact on clinical outcome.

    Science.gov (United States)

    Adams, Julia; Cheng, Liang

    2011-09-01

    Lymph node metastasis in patients with prostate cancer indicates a poorer prognosis compared with patients without lymph node metastasis; however, some patients with node-positive disease have long-term survival. Many studies have attempted to discern what characteristics of lymph node metastasis are prognostically significant. These characteristics include nodal tumor volume, number of positive lymph nodes, lymph node density, extranodal extension, lymphovascular invasion and tumor dedifferentiation. Favorable characteristics of regional lymph node involvement included a smaller tumor size and smaller tumor volume. However, the current staging system for prostate cancer does not provide different subclassifications for patients with node-positive prostate cancer. In recent years numerous advanced technologies for the detection of lymph node metastasis have been developed, including molecular imaging techniques and the CellSearch Circulating Tumor Cell System. With the increased detection of patients with prostate cancer, emergence of new technology to identify lymph node metastasis and the number of radical prostatectomies being performed on the rise, subclassifying patients with lymph node-positive disease is imperative. Subclassification would provide a better picture of patient prognosis and allow for a better understanding of targeted therapies to treat patients with lymph node metastasis.

  8. Reverse phase protein array based tumor profiling identifies a biomarker signature for risk classification of hormone receptor-positive breast cancer

    Directory of Open Access Journals (Sweden)

    Johanna Sonntag

    2014-03-01

    Full Text Available A robust subclassification of luminal breast cancer, the most common molecular subtype of human breast cancer, is crucial for therapy decisions. While a part of patients is at higher risk of recurrence and requires chemo-endocrine treatment, the other part is at lower risk and also poorly responds to chemotherapeutic regimens. To approximate the risk of cancer recurrence, clinical guidelines recommend determining histologic grading and abundance of a cell proliferation marker in tumor specimens. However, this approach assigns an intermediate risk to a substantial number of patients and in addition suffers from a high interobserver variability. Therefore, the aim of our study was to identify a quantitative protein biomarker signature to facilitate risk classification. Reverse phase protein arrays (RPPA were used to obtain quantitative expression data for 128 breast cancer relevant proteins in a set of hormone receptor-positive tumors (n = 109. Proteomic data for the subset of histologic G1 (n = 14 and G3 (n = 22 samples were used for biomarker discovery serving as surrogates of low and high recurrence risk, respectively. A novel biomarker selection workflow based on combining three different classification methods identified caveolin-1, NDKA, RPS6, and Ki-67 as top candidates. NDKA, RPS6, and Ki-67 were expressed at elevated levels in high risk tumors whereas caveolin-1 was observed as downregulated. The identified biomarker signature was subsequently analyzed using an independent test set (AUC = 0.78. Further evaluation of the identified biomarker panel by Western blot and mRNA profiling confirmed the proteomic signature obtained by RPPA. In conclusion, the biomarker signature introduced supports RPPA as a tool for cancer biomarker discovery.

  9. 7 CFR 28.910 - Classification of samples and issuance of classification data.

    Science.gov (United States)

    2010-01-01

    ... classification memoranda have been issued under the subpart, a new memorandum shall be issued for the business... date of its issuance and the date or inclusive dates of the original classification. The fee for a...

  10. Age at diagnosis of female breast cancer in Oman: Issues and implications

    Directory of Open Access Journals (Sweden)

    Itrat Mehdi

    2014-01-01

    Full Text Available Introduction: Female breast cancer (BC is the most frequent malignancy diagnosed globally, about 23% of the diagnosed cancers. BC incidence varies geographically, highest in Western Europe and lowest in Africa. BC in females is strongly correlated to age, the highest incidence rate amongst older women reinforcing the importance of hormonal status. BC in young females has an aggressive phenotype. There is a shared observation amongst practicing oncologists that BC in Middle East and the developing world presents at an earlier age. Aim and Objective: The aims of this study are to evaluate the age at presentation of female BC in Oman, and to compare our data with international and regional published data. It discusses the impact of young age Breast Cancer. Materials and Methods: All diagnosed female BC cases registered from 1996-2010 all over the country, were retrieved from the National Cancer Registry, Ministry of Health. BC cases were analyzed with respect to age at presentation. The data were compared with regional and international data. Results: A total of 14,109 cancer cases were recorded during the period of study. BC was the leading malignancy as 1,294 cases (9.1%. Female BC patients were 1,230; denoting 19.2% of all female cancers. 53.5% of female BC presented below 50 years of age. Male BC constituted 5% of total, with 67% of male BC occurring over 50 years of age. Compared with data from Oman, the highest rates in UK and other Western countries are above 50 years of age. These rates are four to 10 times higher than local in different age groups. Interestingly, these rates increase with increasing age in UK from 40-45 to up to 85+, keep on increasing and go up to four times higher with higher age. This phenomenon, of increasing incidence rates with age, is not observed in our local population. Discussion: BC is significantly correlated to age as reported from Western population. BC is reported at a younger age from developing and Arab

  11. Nominal classification

    OpenAIRE

    Senft, G.

    2007-01-01

    This handbook chapter summarizes some of the problems of nominal classification in language, presents and illustrates the various systems or techniques of nominal classification, and points out why nominal classification is one of the most interesting topics in Cognitive Linguistics.

  12. Methodological issues in estimating survival in patients with multiple primary cancers: an application to women with breast cancer as a first tumour

    Directory of Open Access Journals (Sweden)

    Ricceri Fulvio

    2009-02-01

    Full Text Available Abstract Background Comparing survival of patients with a single tumour and patients with multiple primaries poses different methodological problems. In population based studies, where we cannot rely on detailed clinical information, the issue is disentangling the share of survival probability from the first and second cancer, and their compounded effect. We examined three hypotheses: A the survival probability since the first tumour does not change with the occurrence of a second tumour; B the probability of surviving a tumour does not change with the presence of a previous primary; C the probabilities of surviving two subsequent primary tumours are independent (additivity hypothesis on mortality rates. Methods We studied the survival probabilities modelling mortality rates according to hypotheses A, B and C. Mortality rates were calculated using Aalen-Johansen estimators which allowed to discount for the lag-time survival before developing a second tumour. We applied this approach to a cohort of 436 women with breast cancer (BC and a subsequent tumour in the resident population of Turin, Italy, between 1985 and 2002. Results We presented our results in term of a Standardised Mortality Ratio calculated (SMRAJ after 10 years of follow-up. For hypothesis A we observed a significant excess mortality of 2.21 (95% C.I. 1.94 – 2.45. Concerning hypothesis B we found a not significant SMRAJ of 0.98 (95% C.I. 0.87 – 1.10. The additivity hypothesis (C was not confirmed as it overestimated the risk of death, in fact SMRsAJ were all below 1: 0.75 (95% C.I. 0.66 – 0.84 for BC and all subsequent cancers, 0.72 (95% C.I. 0.55 – 0.94 for BC and colon-rectum cancer, 0.76 (95% C.I. 0.48 – 1.14 for BC and corpus uteri cancer (not significant. Conclusion This method proved to be useful in disentangling the effect of different subsequent cancers on mortality. In our application it shows a worse long-term mortality for women with two cancers than that with

  13. Methodological challenges in quality of life research among Turkish and Moroccan ethnic minority cancer patients: translation, recruitment and ethical issues.

    Science.gov (United States)

    Hoopman, Rianne; Terwee, Caroline B; Muller, Martin J; Ory, Ferko G; Aaronson, Neil K

    2009-06-01

    The large population of first generation Turkish and Moroccan immigrants who moved to Western Europe in the 1960s and 1970s is now reaching an age at which the incidence of chronic diseases, including cancer, rises sharply. To date, little attention has been paid to the health-related quality of life (HRQOL) of these ethnic minority groups, primarily due to the paucity of well translated and validated measures, but also because of a range of methodological and logistical barriers. The primary objective of this paper is to describe the methodological challenges in conducting HRQOL research among these patient populations, based on experience gained in a project in which four widely used HRQOL questionnaires were translated into Turkish, Moroccan-Arabic and Tarifit, and administered to a sample of 90 Turkish and 79 Moroccan cancer patients in the Netherlands. Problems encountered in translating and administering the questionnaires included achieving semantic equivalence (use of loanwords), use of numerical rating scales, lengthy questions and response scales, and culturally sensitive and/or inappropriate questions. Privacy laws that prohibit hospitals from registering the ethnicity of patients hampered efficient identification of eligible patients. Recruiting patients to studies is often difficult due to low literacy levels, lack of familiarity with and distrust of research, concerns about immigration status, and inaccurate or missing contact information. This can lead to lower response rates than is the case with the population of Dutch cancer patients. Additional ethical issues that arise in such studies concern patients' problems with communicating with their health care providers, their lack of understanding of their diagnosis, treatment and prognosis, and the potential role conflict experienced by bilingual research assistants who may wish or be asked to intervene on the patients' behalf. Practical approaches to resolving these issues are presented. PMID

  14. Vitamin D3 in cancer prevention and therapy: the nutritional issue.

    Science.gov (United States)

    Chirumbolo, Salvatore

    2015-09-01

    The action of vitamin D3, in its biological form 1α,25(OH)2vitD3 or calcitriol, may be summarized as a steroid-like hormone able to modulate basic functions of cell encompassing energy balance, stress response, mitochondria biogenesis, intracellular calcium oscillations, and replication/apoptosis mechanisms leading to cell survival. Moreover, calcitriol exerts a potent role as an innate and adaptive immune cytokine as immunity is closely related to self-maintenance through its energetic/metabolic balance and homeostasis of cell turnover. Therefore, vitamin D might be the ancestral form of survival hormones developed with calcified vertebrate bearing skeleton in order to survive far from water. This characteristic may suggest that the role of dietary vitamin D in preventing cancer is simply ancillary to the many factors playing a major role in contrasting impairment in energy balance and cell survival. Most probably, the immune role of calcitriol might be included in the maintenance, mostly by adipose tissue, of an anti-inflammatory, tolerant immune status, depending on the immune tolerance and modulation from the gut. A balance closely modulated by the leptin axis, which when impairments in metabolism occur, such as in insulin resistance or obesity, calcitriol is unable to face at this imbalance, while leptin plays a major role and cancer progression may be promoted. Furthermore, this mechanism promotes epithelial/mesenchymal transition-mediated fibrosis, leading to cancer resistance to immune control and drug action. Interestingly, this pathologic picture is triggered by deficiency in vitamin D from the diet. Therefore, a dietary habit including vitamin D sources, besides flavonoids, may ameliorate lifestyle and health span in most individuals, depending on their genetic background. PMID:26057218

  15. Chronic arsenic poisoning: a global health issue -- a report of multiple primary cancers.

    Science.gov (United States)

    Walvekar, R R; Kane, S V; Nadkarni, M S; Bagwan, I N; Chaukar, D A; D'Cruz, A K

    2007-02-01

    Chronic arsenic (As) poisoning is a worldwide public health problem. Effects of prolonged exposure to high levels of As in drinking water have been observed and documented in various epidemiological studies from all over the world. The non-malignant cutaneous effects of chronic exposure to inorganic As are well known. A case presenting with multiple cutaneous cancers as well as an internal lung primary in a patient exposed to toxic levels of As in the drinking water is discussed along with a review of literature.

  16. Immune Monitoring in Cancer Vaccine Clinical Trials: Critical Issues of Functional Flow Cytometry-Based Assays

    Directory of Open Access Journals (Sweden)

    Iole Macchia

    2013-01-01

    Full Text Available The development of immune monitoring assays is essential to determine the immune responses against tumor-specific antigens (TSAs and tumor-associated antigens (TAAs and their possible correlation with clinical outcome in cancer patients receiving immunotherapies. Despite the wide range of techniques used, to date these assays have not shown consistent results among clinical trials and failed to define surrogate markers of clinical efficacy to antitumor vaccines. Multiparameter flow cytometry- (FCM- based assays combining different phenotypic and functional markers have been developed in the past decade for informative and longitudinal analysis of polyfunctional T-cells. These technologies were designed to address the complexity and functional heterogeneity of cancer biology and cellular immunity and to define biomarkers predicting clinical response to anticancer treatment. So far, there is still a lack of standardization of some of these immunological tests. The aim of this review is to overview the latest technologies for immune monitoring and to highlight critical steps involved in some of the FCM-based cellular immune assays. In particular, our laboratory is focused on melanoma vaccine research and thus our main goal was the validation of a functional multiparameter test (FMT combining different functional and lineage markers to be applied in clinical trials involving patients with melanoma.

  17. Challenges to complementary and alternative medical research: focal issues influencing integration into a cancer care model.

    Science.gov (United States)

    Giordano, James; Engebretson, Joan; Garcia, Mary K

    2005-09-01

    Complementary and alternative therapies are increasingly used by cancer patients for palliative and postcancer preventive and/or wellness care. It is critical that evidence-based models be employed to both provide information for patients' use and informed consent and for physicians to advise patients and assess relative risk:benefit ratios of using specific complementary and alternative medicine (CAM) approaches within the cancer care paradigm. Research models for biomedicine have been somewhat limited when applied to broader, more holistic conceptualizations of health common to many forms of CAM. Thus, while numerous challenges to studying CAM exist, a fundamental question is not just what CAM practices should be studied but how CAM should be studied. The authors propose a model that emphasizes methodologic rigor yet approaches CAM research according to relative levels of evidence, meaning, and context, ranging from experimental, quantitative studies of mechanism to qualitative, observational studies of noetic/salutogenic variables. Responsibility for training researchers prepared to meet such challenges rests on both CAM and mainstream academic institutions, and care must be taken to avoid philosophical and practical pitfalls that might befall a myopic perspective of integration. PMID:16113028

  18. 32 CFR 2700.22 - Classification guides.

    Science.gov (United States)

    2010-07-01

    ... 32 National Defense 6 2010-07-01 2010-07-01 false Classification guides. 2700.22 Section 2700.22... SECURITY INFORMATION REGULATIONS Derivative Classification § 2700.22 Classification guides. OMSN shall issue classification guides pursuant to section 2-2 of E.O. 12065. These guides, which shall be used...

  19. A study on the relationship between breast cancer molecular classification and prognosis%乳腺癌分子分型与预后关系的研究

    Institute of Scientific and Technical Information of China (English)

    陈小松; 陆劲松; 韩企夏; 邵志敏; 沈镇宙; 沈坤炜; 马传栋; 陈灿铭; 杨文涛; 陆洪芬; 周晓燕; 柳光宇; 狄根红; 吴炅

    2008-01-01

    目的 探讨乳腺癌分子分型与预后之间的关系.方法 回顾性分析2002年1月至2003年12月接受手术治疗的708例原发性乳腺癌患者的临床资料.患者均为女性,平均年龄53岁.根据雌激素受体(ER)、孕激素受体(PR)及人类表皮生长因子受体2(HER2)状态的免疫组织化学结果,将全组乳腺癌分型为:内分泌高反应型、内分泌反应不完全型、三阴型及HER2阳性型,观察不同分子分型乳腺癌的预后,比较各型患者术后的累计生存率,多因素分析筛选预后相关因素.结果 本组内分泌高反应型、内分泌反应不完全型、HER2阳性型及三阴型乳腺癌所占的比例分别为33.2%(235/708)、23.6%(167/708)、21.3%(151/708)和21.9%(155/708).随访3~69个月,中位随访时间40.2个月,100例患者复发或死亡.单因素分析示乳腺癌预后与肿瘤大小、腋窝淋巴结状态、分子分型、术后辅助放疗及内分泌治疗有关;多因素分析示分子分型和淋巴结状态为乳腺癌的独立预后因素;生存分析示内分泌高反应型乳腺癌的预后好于其他三型.结论 乳腺癌分子分型是预后的独立预测因素,内分泌高反应型乳腺癌预后最好.%Objective To investigate the relationship between breast cancer molecular classification and prognosis.Methods From January 2002 to December 2003,708 female primary breast cancer patients with a mean age of 53 years old were retrospectively ana lyzed.The classification of breast cancer was according to the immunohistochemical results of estrogen receptor(ER),progesterone receptor(PR)and human epidermal growth factor receptor(HER2)status.Molecular classification definitions included highly endocrine responsive,incompletely endocrine responsive,triple negative,and HER2 positive.The prognosis among difierent molecular classifications of breast cancer was investigated.The survival rates of different classifations were compared by Log-rank test.Results The proportion of

  20. Usefulness of two independent histopathological classifications of tumor regression in patients with rectal cancer submitted to hyperfractionated pre-operative radiotherapy

    Institute of Scientific and Technical Information of China (English)

    (L)ukasz Liszka; Ewa Zieli(n)ska-Paj(a)k; Jacek Paj(a)k; Dariusz Go(l)ka; Jacek Starzewski; Zbigniew Lorenc

    2007-01-01

    AIM: To assess the usefulness of two independent histopathological classifications of rectal cancer regression following neo-adjuvant therapy.METHODS: Forty patients at the initial stage cT3NxMO submitted to preoperative radiotherapy (42 Gy during 18 d) and then to radical surgical treatment. The relationship between "T-downstaging" versus regressive changes expressed by tumor regression grade (TRG 1-5)and Nasierowska-Guttmejer classification (NG 1-3) was studied as well as the relationship between TRG and NG versus local tumor stage ypT and lymph nodes status,ypN.RESULTS: Complete regression (ypTO, TRG 1) was found in one patient. "T-downstaging" was observed in 11 (27.5%) patients. There was a weak statistical significance of the relationship between "T-downstaging"and TRG staging and NG stage. Patients with ypT1 were diagnosed as TRG 2-3 while those with ypT3 as TRG5.No lymph node metastases were found in patients with TRG 1-2. None of the patients without lymph node metastases were diagnosed as TRG 5. Patients in the ypT1 stage were NG 1-2. No lymph node metastases were found in NG 1. There was a significant correlation between TRG and NG.CONCLUSION: Histopathological classifications may be useful in the monitoring of the effects of hyperfractionated preoperative radiotherapy in patients with rectal cancer at the stage of cT3NxMO. There is no unequivocal relationship between "T-downstaging"and TRG and NG. There is some concordance in the assessment of lymph node status with ypT, TRG and NG.TRG and NG are of limited value for the risk assessment of the lymph node involvement.

  1. [Prostate cancer: what treatment techniques for which tumors? Ethical and methodological issues].

    Science.gov (United States)

    de Crevoisier, R; Castelli, J; Guérif, S; Pommier, P; Créhange, G; Chauvet, B; Lagrange, J L

    2014-10-01

    The identification of the optimal radiation technique in prostate cancer is based on the results of dosimetric and clinical studies, although there are almost no randomized studies comparing different radiation techniques. The feasibility of the techniques depends also on the technical and human resources of the radiation department, on the cost of the treatment from the points of view of the society, the patient and the radiation oncologist, and finally on the choice of the patient. The slow evolution of prostate cancer leads to consider the biochemical failure as the main judgment criteria in the majority of the studies. A proper urinary radio-induced toxicity evaluation implies a long follow-up. Intensity-modulated radiotherapy (IMRT) combined with image-guided radiotherapy (IGRT) is recommended in case of high dose (≥76Gy) to the prostate, pelvic lymph nodes irradiation and hypofractionation schedules. For low-risk tumors, the aim of the treatment is to preserve quality of life, while limiting costs. Stereotactic body radiotherapy shows promising results, although the follow-up is still limited and phase III trials are ongoing. Focal radiation techniques are in the step of feasibility. For intermediate and high-risk tumors, the objective of the treatment is to increase the locoregional control, while limiting the toxicity. IMRT combined with IGRT leads to either a well-validated dose escalation strategy for intermediate risk tumors, or to a strategy of moderate hypofractionated schedules, which cannot be yet considered as a standard treatment. These combined radiation techniques allow finally large lymph node target volume irradiation and dose escalation potentially in the dominant intraprostatic lesion. The feasibility of simultaneous integrated boost approaches is demonstrated. PMID:25199865

  2. Emerging issues in radiobiology and cancer research - the impact of non-targeted effects

    International Nuclear Information System (INIS)

    Since the acceptance that non-targeted effects (NTE) can be measured in unirradiated cells or distant progeny of irradiated cells, the discussion has developed about the relevance of these effects for radiobiology and radiation protection since they increase the complexity of the radiation response and allow for outcomes which are not as predictable as they were under the 'old rules'. Specific examples will be presented and analysed which challenge accepted paradigms. 1. Data show that bystander mechanisms are either on or off in cells and that the 'on' threshold appears to be at a very low dose (mGy range). 2. Data suggest that adaptive responses are induced not only in neighbouring cells but in organisms which receive bystander signals. 3. Data show that chronic exposures to alpha or gamma irradiation lead to complex responses in organisms which can be adaptive and protective. 4. Evidence suggests that mixed contaminant exposures which include radiation can have sub-additive or synergistic effects. A key consequence of findings in NTE biology is that at any given level of organization, from gene to ecosystem - communication of stress signals and heritability of stress adaptations provide the bridges linking one hierarchical level to the next and enable the rapid propagation of change triggered by stress at one level, resulting in change at a higher (or lower?) level. Evolution could thus be regulated through communicated signals between cells, individuals, and populations which control and optimize responses coordinating the emergence of exquisitely tuned systems which can adapt rapidly to micro or macro environmental change. A current view of cancer is that it is a 'systems level' disease which can not be understood or treated by looking at individual genes or pathways in the traditional way. Rather, a system approach is required with looks at the environment at both cellular and organismal levels to understand what has been perturbed. We suggest that bystander

  3. Centrosome amplification, chromosomal instability and cancer: mechanistic, clinical and therapeutic issues.

    Science.gov (United States)

    Cosenza, Marco Raffaele; Krämer, Alwin

    2016-01-01

    Centrosomes, the main microtubule-organizing centers in most animal cells, are of crucial importance for the assembly of a bipolar mitotic spindle and subsequent faithful segregation of chromosomes into two daughter cells. Centrosome abnormalities can be found in virtually all cancer types and have been linked to chromosomal instability (CIN) and tumorigenesis. Although our knowledge on centrosome structure, replication, and amplification has greatly increased within recent years, still only very little is known on nature, causes, and consequences of centrosome aberrations in primary tumor tissues. In this review, we summarize our current insights into the mechanistic link between centrosome aberrations, aneuploidy, CIN and tumorigenesis. Mechanisms of induction and cellular consequences of aneuploidy, tetraploidization and CIN, as well as origin and effects of supernumerary centrosomes will be discussed. In addition, animal models for both CIN and centrosome amplification will be outlined. Finally, we describe approaches to exploit centrosome amplification, aneuploidy and CIN for novel and specific anticancer treatment strategies based on the modulation of chromosome missegregation rates. PMID:26645976

  4. Analysis of classifiers performance for classification of potential microcalcification

    Science.gov (United States)

    M. N., Arun K.; Sheshadri, H. S.

    2013-07-01

    Breast cancer is a significant public health problem in the world. According to the literature early detection improve breast cancer prognosis. Mammography is a screening tool used for early detection of breast cancer. About 10-30% cases are missed during the routine check as it is difficult for the radiologists to make accurate analysis due to large amount of data. The Microcalcifications (MCs) are considered to be important signs of breast cancer. It has been reported in literature that 30% - 50% of breast cancer detected radio graphically show MCs on mammograms. Histologic examinations report 62% to 79% of breast carcinomas reveals MCs. MC are tiny, vary in size, shape, and distribution, and MC may be closely connected to surrounding tissues. There is a major challenge using the traditional classifiers in the classification of individual potential MCs as the processing of mammograms in appropriate stage generates data sets with an unequal amount of information for both classes (i.e., MC, and Not-MC). Most of the existing state-of-the-art classification approaches are well developed by assuming the underlying training set is evenly distributed. However, they are faced with a severe bias problem when the training set is highly imbalanced in distribution. This paper addresses this issue by using classifiers which handle the imbalanced data sets. In this paper, we also compare the performance of classifiers which are used in the classification of potential MC.

  5. Revision, uptake and coding issues related to the open access Orchard Sports Injury Classification System (OSICS versions 8, 9 and 10.1

    Directory of Open Access Journals (Sweden)

    John Orchard

    2010-10-01

    Full Text Available John Orchard1, Katherine Rae1, John Brooks2, Martin Hägglund3, Lluis Til4, David Wales5, Tim Wood61Sports Medicine at Sydney University, Sydney NSW Australia; 2Rugby Football Union, Twickenham, England, UK; 3Department of Medical and Health Sciences, Linköping University, Linköping, Sweden; 4FC Barcelona, Barcelona, Catalonia, Spain; 5Arsenal FC, Highbury, England, UK; 6Tennis Australia, Melbourne, Vic, AustraliaAbstract: The Orchard Sports Injury Classification System (OSICS is one of the world’s most commonly used systems for coding injury diagnoses in sports injury surveillance systems. Its major strengths are that it has wide usage, has codes specific to sports medicine and that it is free to use. Literature searches and stakeholder consultations were made to assess the uptake of OSICS and to develop new versions. OSICS was commonly used in the sports of football (soccer, Australian football, rugby union, cricket and tennis. It is referenced in international papers in three sports and used in four commercially available computerised injury management systems. Suggested injury categories for the major sports are presented. New versions OSICS 9 (three digit codes and OSICS 10.1 (four digit codes are presented. OSICS is a potentially helpful component of a comprehensive sports injury surveillance system, but many other components are required. Choices made in developing these components should ideally be agreed upon by groups of researchers in consensus statements.Keywords: sports injury classification, epidemiology, surveillance, coding

  6. Actualización de la estadificación de cáncer de cuello uterino Classification and staging of cervical cancer: an update

    Directory of Open Access Journals (Sweden)

    Claudia Álvarez

    2012-06-01

    Full Text Available A pesar de los avances en la detección y prevención del cáncer de cuello uterino, éste continúa siendo una gran amenaza para la salud de las mujeres a nivel mundial. Una correcta evaluación de los factores pronósticos es crucial para la elección y planificación de un tratamiento adecuado. La estadificación del cáncer de cuello uterino ha sufrido modificaciones en la 7° edición del TNM, reflejando la nueva clasificación adoptada por la Federación Internacional de Ginecología y Obstetricia (FIGO. En este artículo presentamos el sistema actualizado y unificado de estadificación para cáncer de cuello uterino.Despite advances in screening and prevention, cervical cancer remains a major threat to women's health worldwide. A correct evaluation of prognostic factors is crucial for choosing and planning the most appropriate treatment. Cervical cancer staging has undergone modifications in the 7th edition of TNM, reflecting the new classification adopted by the International Federation of Gynecology and Obstetrics (FIGO. In this paper we present the updated and consolidated system of cervical cancer staging.

  7. Cancer stem cell-related marker expression in lung adenocarcinoma and relevance of histologic subtypes based on IASLC/ATS/ERS classification

    Directory of Open Access Journals (Sweden)

    Shimada Y

    2013-11-01

    Full Text Available Yoshihisa Shimada,1 Hisashi Saji,3 Masaharu Nomura,1,2 Jun Matsubayashi,2 Koichi Yoshida,1 Masatoshi Kakihana,1 Naohiro Kajiwara,1 Tatsuo Ohira,1 Norihiko Ikeda11Department of Surgery I, 2Department of Anatomic Pathology, Tokyo Medical University Hospital, Tokyo, Japan; 3Department of Chest Surgery, St Marianna University School of Medicine, Kawasaki, JapanBackground: The cancer stem cell (CSC theory has been proposed to explain tumor heterogeneity and the carcinogenesis of solid tumors. The aim of this study was to clarify the clinical role of CSC-related markers in patients with lung adenocarcinoma and to determine whether each CSC-related marker expression correlates with the histologic subtyping proposed by the International Association for the Study of Lung Cancer (IASLC, the American Thoracic Society (ATS, and the European Respiratory Society (ERS classifications.Methods: We reviewed data for all 103 patients in whom complete resection of adenocarcinoma had been performed. Expression of CSC-related markers, ie, aldehyde dehydrogenase 1A1 (ALDH1A1, aldo-keto reductase 1C family member 1 (AK1C1, and 1C family member 3 (AK1C3, was examined using immunostaining on whole-mount tissue slides, and the tumors were reclassified according to the IASLC/ATS/ERS classification.Results: ALDH1A1 expression was observed in 66.0% of tumors, AK1C1 in 62.7%, and AK1C3 in 86.1%. Immunoreactivities with the frequency of mean expression of ALDH1A1 in papillary predominant adenocarcinoma were significantly higher than those of solid predominant adenocarcinoma (P<0.05. Papillary predominant adenocarcinoma had significantly lower expression of AK1C1 when compared with noninvasive or solid predominant adenocarcinomas (P<0.05. On multivariate analysis, larger tumor size (hazards ratio 1.899, P=0.044, lymph node metastasis (hazards ratio 2.702, P=0.005, and low expression of ALDH1A1 (hazards ratio 3.218, P<0.001 were shown to be independently associated with an

  8. Target Therapy in Lung Cancer.

    Science.gov (United States)

    Cafarotti, Stefano; Lococo, Filippo; Froesh, Patrizia; Zappa, Francesco; Andrè, Dutly

    2016-01-01

    Lung cancer is an extremely heterogeneous disease, with well over 50 different histological variants recognized under the fourth revision of the World Health Organization (WHO) typing system. Because these variants have differing genetic and biological properties correct classification of lung cancer is necessary to assure that lung cancer patients receive optimum management. Due to the recent understanding that histologic typing and EGFR mutation status are important for target the therapy in lung adenocarcinoma patients there was a great need for a new classification that addresses diagnostic issues and strategic management to allow for molecular testing in small biopsy and cytology specimens. For this reason and in order to address advances in lung cancer treatment an international multidisciplinary classification was proposed by the International Association for the Study of Lung Cancer (IASLC), American Thoracic Society (ATS), and European Respiratory Society (ERS), further increasing the histological heterogeneity and improving the existing WHO-classification. Is now the beginning of personalized therapy era that is ideally finalized to treat each individual case of lung cancer in different way. PMID:26667341

  9. Noninvasive diagnosis of hepatocellular carcinoma: Elaboration on Korean liver cancer study group-National Cancer Center Korea Practice Guidelines compared with other guidelines and remaining issues

    Energy Technology Data Exchange (ETDEWEB)

    Yoon, Jeong Hee; Lee, Jeong Min [Dept. of Radiology, Seoul National University Hospital, Seoul (Korea, Republic of); Park, Joong Won [Center for Liver Cancer, National Cancer Center, Goyang (Korea, Republic of)

    2016-02-15

    Hepatocellular carcinoma (HCC) can be diagnosed based on characteristic findings of arterial-phase enhancement and portal/delayed 'washout' in cirrhotic patients. Several countries and major academic societies have proposed varying specific diagnostic criteria for HCC, largely reflecting the variable HCC prevalence in different regions and ethnic groups, as well as different practice patterns. In 2014, a new version of Korean practice guidelines for management of HCC was released by the Korean Liver Cancer Study Group (KLCSG) and the National Cancer Center (NCC). According to the KLCSG-NCC Korea practice guidelines, if the typical hallmark of HCC (i.e., hypervascularity in the arterial phase with washout in the portal or 3 min-delayed phases) is identified in a nodule ≥ 1 cm in diameter on either dynamic CT, dynamic MRI, or MRI using hepatocyte-specific contrast agent in high-risk groups, a diagnosis of HCC is established. In addition, the KLCSG-NCC Korea practice guidelines provide criteria to diagnose HCC for subcentimeter hepatic nodules according to imaging findings and tumor marker, which has not been addressed in other guidelines such as Association for the Study of Liver Diseases and European Association for the Study of the Liver. In this review, we briefly review the new HCC diagnostic criteria endorsed by the 2014 KLCSG-NCC Korea practice guidelines, in comparison with other recent guidelines; we furthermore address several remaining issues in noninvasive diagnosis of HCC, including prerequisite of sonographic demonstration of nodules, discrepancy between transitional phase and delayed phase, and implementation of ancillary features for HCC diagnosis.

  10. Noninvasive Diagnosis of Hepatocellular Carcinoma: Elaboration on Korean Liver Cancer Study Group-National Cancer Center Korea Practice Guidelines Compared with Other Guidelines and Remaining Issues.

    Science.gov (United States)

    Yoon, Jeong Hee; Park, Joong-Won; Lee, Jeong Min

    2016-01-01

    Hepatocellular carcinoma (HCC) can be diagnosed based on characteristic findings of arterial-phase enhancement and portal/delayed "washout" in cirrhotic patients. Several countries and major academic societies have proposed varying specific diagnostic criteria for HCC, largely reflecting the variable HCC prevalence in different regions and ethnic groups, as well as different practice patterns. In 2014, a new version of Korean practice guidelines for management of HCC was released by the Korean Liver Cancer Study Group (KLCSG) and the National Cancer Center (NCC). According to the KLCSG-NCC Korea practice guidelines, if the typical hallmark of HCC (i.e., hypervascularity in the arterial phase with washout in the portal or 3 min-delayed phases) is identified in a nodule ≥ 1 cm in diameter on either dynamic CT, dynamic MRI, or MRI using hepatocyte-specific contrast agent in high-risk groups, a diagnosis of HCC is established. In addition, the KLCSG-NCC Korea practice guidelines provide criteria to diagnose HCC for subcentimeter hepatic nodules according to imaging findings and tumor marker, which has not been addressed in other guidelines such as Association for the Study of Liver Diseases and European Association for the Study of the Liver. In this review, we briefly review the new HCC diagnostic criteria endorsed by the 2014 KLCSG-NCC Korea practice guidelines, in comparison with other recent guidelines; we furthermore address several remaining issues in noninvasive diagnosis of HCC, including prerequisite of sonographic demonstration of nodules, discrepancy between transitional phase and delayed phase, and implementation of ancillary features for HCC diagnosis.

  11. The future of general classification

    DEFF Research Database (Denmark)

    Mai, Jens Erik

    2013-01-01

    Discusses problems related to accessing multiple collections using a single retrieval language. Surveys the concepts of interoperability and switching language. Finds that mapping between more indexing languages always will be an approximation. Surveys the issues related to general classification...... and contrasts that to special classifications. Argues for the use of general classifications to provide access to collections nationally and internationally. © 2003 by The Haworth Press, Inc. All rights reserved....

  12. Random Forests for Poverty Classification

    OpenAIRE

    Ruben Thoplan

    2014-01-01

    This paper applies a relatively novel method in data mining to address the issue of poverty classification in Mauritius. The random forests algorithm is applied to the census data in view of improving classification accuracy for poverty status. The analysis shows that the numbers of hours worked, age, education and sex are the most important variables in the classification of the poverty status of an individual. In addition, a clear poverty-gender gap is identified as women have higher chance...

  13. Automated Breast Cancer Diagnosis based on GVF-Snake Segmentation, Wavelet Features Extraction and Neural Network Classification

    Directory of Open Access Journals (Sweden)

    Abderrahim Sebri

    2007-01-01

    Full Text Available Breast cancer accounts for the second most cancer diagnoses among women and the second most cancer deaths in the world. In fact, more than 11000 women die each year, all over the world, because this disease. The automatic breast cancer diagnosis is a very important purpose of medical informatics researches. Some researches has been oriented to make automatic the diagnosis at the step of mammographic diagnosis, some others treated the problem at the step of cytological diagnosis. In this work, we describes the current state of the ongoing the BC automated diagnosis research program. It is a software system that provides expert diagnosis of breast cancer based on three step of cytological image analysis. The first step is based on segmentation using an active contour for cell tracking and isolating of the nucleus in the studied image. Then from this nucleus, have been extracted some textural features using the wavelet transforms to characterize image using its texture, so that malign texture can be differentiated from benign on the assumption that tumoral texture is different from the texture of other kinds of tissues. Finally, the obtained features will be introduced as the input vector of a Multi-Layer Perceptron (MLP, to classify the images into malign and benign ones.

  14. Profiling cancer

    DEFF Research Database (Denmark)

    Ciro, Marco; Bracken, Adrian P; Helin, Kristian

    2003-01-01

    In the past couple of years, several very exciting studies have demonstrated the enormous power of gene-expression profiling for cancer classification and prediction of patient survival. In addition to promising a more accurate classification of cancer and therefore better treatment of patients......, gene-expression profiling can result in the identification of novel potential targets for cancer therapy and a better understanding of the molecular mechanisms leading to cancer....

  15. The classification of secondary colorectal liver cancer in human biopsy samples using angular dispersive x-ray diffraction and multivariate analysis

    Energy Technology Data Exchange (ETDEWEB)

    Theodorakou, Chrysoula; Farquharson, Michael J [Department of Radiography, City Community and Health Sciences, City University, Northampton Square, EC1V 0HB, London (United Kingdom)], E-mail: christie.theodorakou@physics.cr.man.ac.uk

    2009-08-21

    The motivation behind this study is to assess whether angular dispersive x-ray diffraction (ADXRD) data, processed using multivariate analysis techniques, can be used for classifying secondary colorectal liver cancer tissue and normal surrounding liver tissue in human liver biopsy samples. The ADXRD profiles from a total of 60 samples of normal liver tissue and colorectal liver metastases were measured using a synchrotron radiation source. The data were analysed for 56 samples using nonlinear peak-fitting software. Four peaks were fitted to all of the ADXRD profiles, and the amplitude, area, amplitude and area ratios for three of the four peaks were calculated and used for the statistical and multivariate analysis. The statistical analysis showed that there are significant differences between all the peak-fitting parameters and ratios between the normal and the diseased tissue groups. The technique of soft independent modelling of class analogy (SIMCA) was used to classify normal liver tissue and colorectal liver metastases resulting in 67% of the normal tissue samples and 60% of the secondary colorectal liver tissue samples being classified correctly. This study has shown that the ADXRD data of normal and secondary colorectal liver cancer are statistically different and x-ray diffraction data analysed using multivariate analysis have the potential to be used as a method of tissue classification.

  16. Histological and Molecular Pathology Classification in the Pathologic Diagnosis of Breast Cancer%组织学病理学和分子分类对乳腺癌的病理诊断价值

    Institute of Scientific and Technical Information of China (English)

    肖永波; 张晓; 黄小杏

    2015-01-01

    Objective To investigate the value of histological and molecular classification in the pathologic diagnosis of breast cancer .Methods Tissue sections of 745 cases of breast cancer received immunohistochemistry examination , and were classified by histological ,pathological and molecular classification ,and the characteristics were compared .Results 745 patients were divided into 5 molecular subtypes:235 cases of luminal A ,95 cases of luminal B type ,141 cases of over-expression of the ep-idermal growth factor receptor type ,142 cases of triple negative type ,and 132 cases unclassified.Conclusion The histological classification and molecular classification are related .Histological classification combined with molecular classification can help guide diagnosis and treatment of breast cancer .%目的:探讨组织学分类和分子分类在乳腺癌病理诊断中的价值。方法对745例乳腺癌患者组织切片进行免疫组织化学检验,分别进行组织学分类、病理学分类和分子分类,比较各自的分类特点。结果745例分为5种分子亚型:235例管腔A型,95例管腔B型,141例表皮生长因子受体过表达型,142例三阴性型,132例未分类。结论乳腺癌组织学分类与分子分类相关。联合组织学分类和分子分类,有助于指导乳腺癌的诊断和治疗。

  17. Diagnostic Classification of Normal Persons and Cancer Patients by Using Neural Network Based on Trace Metal Contents in Serum Samples

    Institute of Scientific and Technical Information of China (English)

    ZHANG; Zhuo-yong

    2001-01-01

    [1]Miatto, O. , Casaril, M. , Gabriell, G. B. , et al. , Cancer, 55, 774(1985)[2]Margalioth, E. J., Udassin, R., Maor, J. , et al. , Cancer, 56, 856(1986)[3]Xu, B., Chinese Journal of Tumor, 12, 512(1990)[4]Jayadeep, A. , Raveendran, P. K. , Kannan, S. , et al. , J. Exp. Clin. Cancer Res. , 16, 295 (1997)[5]Sattar, N. , Scott, H. R. , McMillan, D. C. , et al. , Nutr. Cancer, 28, 308(1997)[6]Koksoy, C. , Kavas, G. O. , Akcil, E. , et al. , Breast Cancer Res. Treat. , 45, 1(1997)[7]Leung,P. L. , Huang, H. M. , Biol. Trace Elem. Res. , 57, 19(1997)[8]Antila, E. , Mussalo-Rauhamaa, H. , Kantola, M. , et al. , Sci. Total Environ. , 186, 251(1996)[9]Tariq, M. A. , Qama-un-Nisa, Fatima, A. , Sci. Total Environ. , 175, 43(1995)[10]Martin-Lagos, F. , Navarro-Alarcon, M. , Terres-Martos, C. , et al. , Sci. Total Environ. , 204, 27(1997)[11]Poo, J. L. , Romero, R. R. , Robles, J. A. , et al. , Arch. Med. Res. , 28, 259(1997)[12]Magalova, T., Bella, V. , Brtkova, A. , et al. , Neoplasma, 46, 100(1999)[13]Ferrigno, D. , Buccheri, G. , Camilla, T. , et al. , Archives for Chest Disease, 54, 204(1999)[14]Huang, Y. L. , Sheu, J. Y. , Lin, T. H. , Clinical Biochem. , 32, 131(1999)[15]Songchitsomboon, S. , Komindr, S. , Komindr, A. , et al. , J. Med. Assoc. Thai, 82, 701(1999)[16]Mason, R. P. , Cancer, 85, 2 093(1999)[17]Wargovith, M. J. , Ed. Moon T. E. , Micozz M. S. , Calcium, Vitamin D and the Prevention of Gastrointestinal Cancer, in Nutrition and Cancer Prevention, Marcel Dekker Inc. , New York, 1989:291[18]Leung, P. L. , Li, X. L. , Li, Z. X. , et al. , Biol. Trace Elem. Res. , 42, 1(1994)[19]Jing, X. ,Han, C., Cancer Research on Prevention and Treatment, 25, 186(1998)[20]Huang, Y. , Li, J. , Carcinogenesis, Teratogenesis and Mutagenesis, 10, 123(1998)[21]Wang, X. , Zhu, E. ,Yan, X. , et al. , Acta Chimica Sinica, 51, 1 094(1993)[22]Wan, T. , Qin, S. , Zhuang, S. , et al. , Rock and Mineral

  18. Innovative patient-centered skills training addressing challenging issues in cancer communications: Using patient's stories that teach.

    Science.gov (United States)

    Bishop, Thomas W; Gorniewicz, James; Floyd, Michael; Tudiver, Fred; Odom, Amy; Zoppi, Kathy

    2016-05-01

    This workshop demonstrated the utility of a patient-centered web-based/digital Breaking Bad News communication training module designed to educate learners of various levels and disciplines. This training module is designed for independent, self-directed learning as well as group instruction. These interactive educational interventions are based upon video-recorded patient stories. Curriculum development was the result of an interdisciplinary, collaborative effort involving faculty from the East Tennessee State University (ETSU) Graduate Storytelling Program and the departments of Family and Internal Medicine at the James H. Quillen College of Medicine. The specific goals of the BBN training module are to assist learners in: (1) understanding a five-step patient-centered model that is based upon needs, preferences, and expectations of patients with cancer and (2) individualizing communication that is consistent with patient preferences in discussing emotions, informational detail, prognosis and timeline, and whether or not to discuss end-of-life issues. The pedagogical approach to the training module is to cycle through Emotional Engagement, Data, Modeled Practices, Adaptation Opportunities, and Feedback. The communication skills addressed are rooted in concepts found within the Reaching Common Ground communication training. A randomized control study investigating the effectiveness of the Breaking Bad News module found that medical students as well as resident physicians improved their communication skills as measured by an Objective Structured Clinical Examination. Four other similarly designed modules were also created: Living Through Treatment, Transitions: From Curable to Treatable/From Treatable to End-of-Life, Spirituality, and Family. PMID:27497456

  19. MALDI Imaging Mass Spectrometry (MALDI-IMS―Application of Spatial Proteomics for Ovarian Cancer Classification and Diagnosis

    Directory of Open Access Journals (Sweden)

    Johan O. R. Gustafsson

    2011-01-01

    Full Text Available MALDI imaging mass spectrometry (MALDI-IMS allows acquisition of mass data for metabolites, lipids, peptides and proteins directly from tissue sections. IMS is typically performed either as a multiple spot profiling experiment to generate tissue specific mass profiles, or a high resolution imaging experiment where relative spatial abundance for potentially hundreds of analytes across virtually any tissue section can be measured. Crucially, imaging can be achieved without prior knowledge of tissue composition and without the use of antibodies. In effect MALDI-IMS allows generation of molecular data which complement and expand upon the information provided by histology including immuno-histochemistry, making its application valuable to both cancer biomarker research and diagnostics. The current state of MALDI-IMS, key biological applications to ovarian cancer research and practical considerations for analysis of peptides and proteins on ovarian tissue are presented in this review.

  20. Gender, Race, and Survival: A Study in Non-Small-Cell Lung Cancer Brain Metastases Patients Utilizing the Radiation Therapy Oncology Group Recursive Partitioning Analysis Classification

    International Nuclear Information System (INIS)

    Purpose: To explore whether gender and race influence survival in non-small-cell lung cancer (NSCLC) in patients with brain metastases, using our large single-institution brain tumor database and the Radiation Therapy Oncology Group recursive partitioning analysis (RPA) brain metastases classification. Methods and materials: A retrospective review of a single-institution brain metastasis database for the interval January 1982 to September 2004 yielded 835 NSCLC patients with brain metastases for analysis. Patient subsets based on combinations of gender, race, and RPA class were then analyzed for survival differences. Results: Median follow-up was 5.4 months (range, 0-122.9 months). There were 485 male patients (M) (58.4%) and 346 female patients (F) (41.6%). Of the 828 evaluable patients (99%), 143 (17%) were black/African American (B) and 685 (83%) were white/Caucasian (W). Median survival time (MST) from time of brain metastasis diagnosis for all patients was 5.8 months. Median survival time by gender (F vs. M) and race (W vs. B) was 6.3 months vs. 5.5 months (p = 0.013) and 6.0 months vs. 5.2 months (p = 0.08), respectively. For patients stratified by RPA class, gender, and race, MST significantly favored BFs over BMs in Class II: 11.2 months vs. 4.6 months (p = 0.021). On multivariable analysis, significant variables were gender (p = 0.041, relative risk [RR] 0.83) and RPA class (p < 0.0001, RR 0.28 for I vs. III; p < 0.0001, RR 0.51 for II vs. III) but not race. Conclusions: Gender significantly influences NSCLC brain metastasis survival. Race trended to significance in overall survival but was not significant on multivariable analysis. Multivariable analysis identified gender and RPA classification as significant variables with respect to survival.

  1. Staging of prostate cancer.

    Science.gov (United States)

    Cheng, Liang; Montironi, Rodolfo; Bostwick, David G; Lopez-Beltran, Antonio; Berney, Daniel M

    2012-01-01

    Prostatic carcinoma (PCa) is a significant cause of cancer morbidity and mortality worldwide. Accurate staging is critical for prognosis assessment and treatment planning for PCa. Despite the large volume of clinical activity and research, the challenge to define the most appropriate and clinically relevant staging system remains. The pathologically complex and uncertain clinical course of prostate cancer further complicates the design of staging classification and a substaging system suitable for individualized care. This review will focus on recent progress and controversial issues related to prostate cancer staging. The 2010 revision of the American Joint Committee on Cancer/Union Internationale Contre le Cancer (AJCC/UICC) tumour, node and metastasis (TNM) system is the most widely used staging system at this time. Despite general acceptance of the system as a whole, there is controversy and uncertainty about its application, particularly for T2 subclassification. The three-tiered T2 classification system for organ-confined prostate cancer is superfluous, considering the biology and anatomy of PCa. A tumour size-based substaging system may be considered in the future TNM subclassification of pT2 cancer. Lymph node status is one of the most important prognostic factors for prostate cancer. Nevertheless, clinical outcomes in patients with positive lymph nodes are variable. Identification of patients at the greatest risk of systemic progression helps in the selection of appropriate therapy. The data suggest that the inherent aggressiveness of metastatic prostate cancer is closely linked to the tumour volume of lymph node metastasis. We recommend that a future TNM staging system should consider subclassification of node-positive cancer on the basis of nodal cancer volume, using the diameter of the largest nodal metastasis and/or the number of positive nodes.

  2. Patient responses to genetic information: studies of patients with hereditary cancer syndromes identify issues for use of genetic testing in nephrology practice

    OpenAIRE

    Kaphingst, Kimberly A; McBride, Colleen M

    2010-01-01

    Advances in the genetic basis of kidney disease may mean that genetic testing is increasingly important in reducing disease morbidity and mortality among patients. However, there is little research examining patient responses to genetic information for Mendelian and common kidney diseases. Existing research on kidney and other hereditary cancer syndromes can inform three major issues relevant to the nephrology context: (1) how patients understand their risk of disease following genetic counse...

  3. Communication in cancer care: psycho-social, interactional, and cultural issues. A general overview and the example of India.

    Science.gov (United States)

    Chaturvedi, Santosh K; Strohschein, Fay J; Saraf, Gayatri; Loiselle, Carmen G

    2014-01-01

    Communication is a core aspect of psycho-oncology care. This article examines key psychosocial, cultural, and technological factors that affect this communication. Drawing from advances in clinical work and accumulating bodies of empirical evidence, the authors identify determining factors for high quality, efficient, and sensitive communication and support for those affected by cancer. Cancer care in India is highlighted as a salient example. Cultural factors affecting cancer communication in India include beliefs about health and illness, societal values, integration of spiritual care, family roles, and expectations concerning disclosure of cancer information, and rituals around death and dying. The rapidly emerging area of e-health significantly impacts cancer communication and support globally. In view of current globalization, understanding these multidimensional psychosocial, and cultural factors that shape communication are essential for providing comprehensive, appropriate, and sensitive cancer care.

  4. Communication in cancer care: Psycho social, interactional, and cultural issues. A general overview and the example of India

    Directory of Open Access Journals (Sweden)

    SANTOSH K CHATURVEDI

    2014-11-01

    Full Text Available Communication is a core aspect of psycho-oncology care. This article examines key psychosocial, cultural, and technological factors that affect this communication. Drawing from advances in clinical work and accumulating bodies of empirical evidence, the authors identify determining factors for high quality, efficient, and sensitive communication and support for those affected by cancer. Cancer care in India is highlighted as a salient example. Cultural factors affecting cancer communication in India include beliefs about health and illness, societal values, integration of spiritual care, family roles, and expectations concerning disclosure of cancer information, and rituals around death and dying. The rapidly emerging area of e-health significantly impacts cancer communication and support globally. In view of current globalization, understanding these multidimensional psychosocial, and cultural factors that shape communication are essential for providing comprehensive, appropriate and sensitive cancer care.

  5. Classification problem in CBIR

    OpenAIRE

    Tatiana Jaworska

    2013-01-01

    At present a great deal of research is being done in different aspects of Content-Based Im-age Retrieval (CBIR). Image classification is one of the most important tasks in image re-trieval that must be dealt with. The primary issue we have addressed is: how can the fuzzy set theory be used to handle crisp image data. We propose fuzzy rule-based classification of image objects. To achieve this goal we have built fuzzy rule-based classifiers for crisp data. In this paper we present the results ...

  6. Hubble Classification

    Science.gov (United States)

    Murdin, P.

    2000-11-01

    A classification scheme for galaxies, devised in its original form in 1925 by Edwin P Hubble (1889-1953), and still widely used today. The Hubble classification recognizes four principal types of galaxy—elliptical, spiral, barred spiral and irregular—and arranges these in a sequence that is called the tuning-fork diagram....

  7. 网络战的冲突分类与法律适用%Analysis ofthe Classification and Legal Issues of Cyber Warfare under International Humanitarian Law

    Institute of Scientific and Technical Information of China (English)

    赵心

    2016-01-01

    在国际人道法下,敌对行动造成的冲突类型的确定,对于确定其法律性质、适用的法律范围都有着不可或缺的地位。随着信息时代的到来,网络攻击行为的法律性质成为争议。如果要判断网络攻击能否适用国际人道法,首先是明确网络攻击引起的冲突的类型,进而确定网络攻击是否属于“武装冲突”范畴。国际人道法如何适用于网络战争,网络攻击构成的冲突能否符合武装冲突的分类,这里将针对这些问题进行探讨和研究。%Under international humanitarian law,the types of conflicts caused by hostile actions are indispensable to the deter-mination of the legal nature and the applicable law.With the advent of the information age,the legal nature of cyber attack has become a dispute.If you want to decide whether international humanitarian law can be applied to cyber attack,the category of conflicts caused by it must be clarified first,and then whether cyber attack belongs to armed conflicts.This paper explores such issues as how international humanitarian law can be applied to cyber warfare,and whether the conflict constitutedby cyber attacks can be classified as armed conflicts.

  8. Classification of Non-Small Cell Lung Cancer Using Significance Analysis of Microarray-Gene Set Reduction Algorithm

    Directory of Open Access Journals (Sweden)

    Lei Zhang

    2016-01-01

    Full Text Available Among non-small cell lung cancer (NSCLC, adenocarcinoma (AC, and squamous cell carcinoma (SCC are two major histology subtypes, accounting for roughly 40% and 30% of all lung cancer cases, respectively. Since AC and SCC differ in their cell of origin, location within the lung, and growth pattern, they are considered as distinct diseases. Gene expression signatures have been demonstrated to be an effective tool for distinguishing AC and SCC. Gene set analysis is regarded as irrelevant to the identification of gene expression signatures. Nevertheless, we found that one specific gene set analysis method, significance analysis of microarray-gene set reduction (SAMGSR, can be adopted directly to select relevant features and to construct gene expression signatures. In this study, we applied SAMGSR to a NSCLC gene expression dataset. When compared with several novel feature selection algorithms, for example, LASSO, SAMGSR has equivalent or better performance in terms of predictive ability and model parsimony. Therefore, SAMGSR is a feature selection algorithm, indeed. Additionally, we applied SAMGSR to AC and SCC subtypes separately to discriminate their respective stages, that is, stage II versus stage I. Few overlaps between these two resulting gene signatures illustrate that AC and SCC are technically distinct diseases. Therefore, stratified analyses on subtypes are recommended when diagnostic or prognostic signatures of these two NSCLC subtypes are constructed.

  9. Is standard breast-conserving therapy (BCT in elderly breast cancer patients justified? A prospective measurement of acute toxicity according CTC-classification

    Directory of Open Access Journals (Sweden)

    Eilf Kirsten

    2010-11-01

    Full Text Available Abstract Background Breast conserving therapy (BCT is an accepted treatment for early-stage breast cancer. This study aimed to measure prospectively acute radiation-related toxicity and to create a comprehensive data base for long-term temporal analyses of 3D conformal adjuvant radiotherapy. The specific aspect of age has been neglected by traditional research. Therefore, the impact of age on acute BCT toxicity should be also specifically adressed. Methods Toxicity was measured in 109 patients at initiation (t1, during radiotherapy (t2-t7, and 6 weeks after treatment completion (t8 using a new topographic module. Organ systems were recorded in 15 scales and scored according to symptom intensity (grade 0-5 based on CTC (Common Toxicity Criteria -classification. Radiotherapy was virtually CT-based planned and applied with 6-MeV-photons. Mean total dose was 60.1 Gy. Patients were stratified by age in 3 Groups: 60 years. Results Registered toxicity was generally low. Mean overall-grade climbed from 0.29-0.40 (t1-t7, and dropped to 0.23 (t8. Univariate analyses revealed slightly higher toxicity in older (> 60 years versus young patients ( 60 years patients (p = 0.039. Toxicity differences in all other scales were not significant. Between older (> 60 years and midaged patients (50-60 years no significant differences in toxicity were found. This was also true for the comparison between young ( Conclusion The treatment concept of BCT for breast cancer is generally well tolerated. The toxicity-measurement with the new topographic module is feasible. Not modified standard treatment for BC should be performed in elderly women.

  10. Is standard breast-conserving therapy (BCT) in elderly breast cancer patients justified? A prospective measurement of acute toxicity according CTC-classification

    International Nuclear Information System (INIS)

    Breast conserving therapy (BCT) is an accepted treatment for early-stage breast cancer. This study aimed to measure prospectively acute radiation-related toxicity and to create a comprehensive data base for long-term temporal analyses of 3D conformal adjuvant radiotherapy. The specific aspect of age has been neglected by traditional research. Therefore, the impact of age on acute BCT toxicity should be also specifically adressed. Toxicity was measured in 109 patients at initiation (t1), during radiotherapy (t2-t7), and 6 weeks after treatment completion (t8) using a new topographic module. Organ systems were recorded in 15 scales and scored according to symptom intensity (grade 0-5) based on CTC (Common Toxicity Criteria) -classification. Radiotherapy was virtually CT-based planned and applied with 6-MeV-photons. Mean total dose was 60.1 Gy. Patients were stratified by age in 3 Groups: <50, 50-60, and >60 years. Registered toxicity was generally low. Mean overall-grade climbed from 0.29-0.40 (t1-t7), and dropped to 0.23 (t8). Univariate analyses revealed slightly higher toxicity in older (> 60 years) versus young patients (< 50 years) in 2 scales only: breast-symmetry (p = 0.033), and arm function (p = 0.007). However, in the scale 'appetite' toxicity was higher in younger (< 50 years) versus older (> 60 years) patients (p = 0.039). Toxicity differences in all other scales were not significant. Between older (> 60 years) and midaged patients (50-60 years) no significant differences in toxicity were found. This was also true for the comparison between young (< 50 years) versus midaged patient groups (50-60 years). The treatment concept of BCT for breast cancer is generally well tolerated. The toxicity-measurement with the new topographic module is feasible. Not modified standard treatment for BC should be performed in elderly women

  11. Body issues, sexual satisfaction, and relationship status satisfaction in long-term childhood cancer survivors and healthy controls

    NARCIS (Netherlands)

    Lehmann, Vicky; Hagedoorn, Mariet; Gerhardt, Cynthia A.; Fults, Marci; Olshefski, Randal S.; Sanderman, Robbert; Tuinman, Marrit A.

    2016-01-01

    ObjectiveResearch on body image and sexual satisfaction after adult onset cancer has shown significant and lasting impairments regarding survivors' sexuality and romantic relationships. However, knowledge about these topics and their associations in adult survivors of childhood cancer is largely lac

  12. Integrative analysis of cancer related signaling pathways

    Directory of Open Access Journals (Sweden)

    Thomas eKessler

    2013-06-01

    Full Text Available Identification and classification of cancer types and subtypes is a major issue in current cancer research. Whole genome expression profiling of cancer tissues is often the basis for such subtype classifications of tumors and different signatures for individual cancer types have been described. However, the search for best performing discriminatory gene expression signatures covering more than one cancer type remains a relevant topic in cancer research as such a signature would help understanding the common changes in signaling networks in these disease types. In this work, we explore the idea of a top down approach for sample stratification based on a module-based network of cancer relevant signaling pathways. For assembly of this network, we consider several of the most established cancer pathways. We evaluate our sample stratification approach using expression data of human breast and ovarian cancer signatures. We show that our approach performs equally well to previously reported methods besides providing the advantage to classify different cancer types. Furthermore, it allows to identify common changes in network module activity of those cancer samples.

  13. Some noteworthy issues about surgery for colon cancer%结肠癌手术治疗值得关注的若干问题

    Institute of Scientific and Technical Information of China (English)

    万德森

    2011-01-01

    基于结肠癌手术效果尚不够理想、术后复发率高且常伴有急性肠梗阻,因此结肠癌手术治疗中除遵循一般外科原则外,尚要求有严格无瘤观念和预防肿瘤播散的综合治疗观念.结肠癌手术中应重点关注手术切除范围、肝转移的探查与切除、腹膜播散的预防与治疗、伴有肠梗阻的肠切除与吻合以及术中化疗等问题.%Based on the fact that surgical outcome for colon cancer is not promising due to a high recurrence or metastasis rate, and that acute bowel obstruction is often presented in patients with colon cancer, a surgical resection for colon cancer requires strictly stick to the tumor-free principle for cancer surgery to avoid iatrogenic tumor spread during operation, as well as the common principles of general surgery.Some noteworthy issues about colectomy for cancer, including resection area, detection and resection of liver metastasis,prevention and management of peritoneal carcinomatosis,resection and anastomosis for obstructing bowel, and intra-operative chemotherapy should be emphasized on.

  14. Classification problem in CBIR

    Directory of Open Access Journals (Sweden)

    Tatiana Jaworska

    2013-04-01

    Full Text Available At present a great deal of research is being done in different aspects of Content-Based Im-age Retrieval (CBIR. Image classification is one of the most important tasks in image re-trieval that must be dealt with. The primary issue we have addressed is: how can the fuzzy set theory be used to handle crisp image data. We propose fuzzy rule-based classification of image objects. To achieve this goal we have built fuzzy rule-based classifiers for crisp data. In this paper we present the results of fuzzy rule-based classification in our CBIR. Further-more, these results are used to construct a search engine taking into account data mining.

  15. Network-Based Logistic Classification with an Enhanced L1/2 Solver Reveals Biomarker and Subnetwork Signatures for Diagnosing Lung Cancer

    Directory of Open Access Journals (Sweden)

    Hai-Hui Huang

    2015-01-01

    Full Text Available Identifying biomarker and signaling pathway is a critical step in genomic studies, in which the regularization method is a widely used feature extraction approach. However, most of the regularizers are based on L1-norm and their results are not good enough for sparsity and interpretation and are asymptotically biased, especially in genomic research. Recently, we gained a large amount of molecular interaction information about the disease-related biological processes and gathered them through various databases, which focused on many aspects of biological systems. In this paper, we use an enhanced L1/2 penalized solver to penalize network-constrained logistic regression model called an enhanced L1/2 net, where the predictors are based on gene-expression data with biologic network knowledge. Extensive simulation studies showed that our proposed approach outperforms L1 regularization, the old L1/2 penalized solver, and the Elastic net approaches in terms of classification accuracy and stability. Furthermore, we applied our method for lung cancer data analysis and found that our method achieves higher predictive accuracy than L1 regularization, the old L1/2 penalized solver, and the Elastic net approaches, while fewer but informative biomarkers and pathways are selected.

  16. EBM-based Clinical Guidelines for Pancreatic Cancer (2013) issued by the Japan Pancreas Society: a synopsis.

    Science.gov (United States)

    Yamaguchi, Koji; Okusaka, Takuji; Shimizu, Kyoko; Furuse, Junji; Ito, Yoshinori; Hanada, Keiji; Shimosegawa, Tooru

    2014-10-01

    Clinical practice guidelines for pancreatic cancer based on evidence-based medicine (2006) were published by the Japan Pancreas Society (Committee for revision of clinical guidelines for pancreatic cancer) in March 2009 in Japanese, revised to Clinical Practice Guidelines for Pancreatic Cancer based on evidence-based medicine (2009) in July 2009 in Japanese and further revised to Clinical Practice Guidelines for Pancreatic Cancer (2013) in October 2013 in Japanese. These guidelines were established according to evidence-based medicine. A total of 629 papers were collected from among 4612 reports concerning pancreatic cancer listed in PubMed and Igakuchuo Zasshi between May 2007 and January 2011. This new set of guidelines was written by members of the Committee for the Revision of Clinical Practice Guidelines for Pancreatic Cancer in the Japan Pancreas Society. The guidelines provide an algorithm for the diagnosis (Fig. 1) and treatment (Fig. 2) of pancreatic cancer and address six subjects (Diagnosis, Surgery, Adjuvant therapy, Radiation therapy, Chemotherapy and stent therapy), with 35 clinical questions and 57 recommendations.

  17. Progress against Prostate Cancer

    Science.gov (United States)

    ... this page please turn Javascript on. Feature: Prostate Cancer Progress Against Prostate Cancer Past Issues / Winter 2010 Table of Contents ... Read More "Prostate Cancer" Articles Progress Against Prostate Cancer / Prostate Cancer Research Trial Helps John Spencer Treat His ...

  18. Delay in diagnosis of cancer as a patient safety issue - a root cause analysis based on a representative case report

    Directory of Open Access Journals (Sweden)

    Mansour Paul

    2011-07-01

    Full Text Available Abstract Background It is well known in the literature that imaging has almost no value for diagnosis of superficial bladder cancer. However, wide gap exists between knowledge on diagnosis of bladder cancer and actual clinical practice. Case presentation Delay in diagnosis of bladder cancer in a male person with tetraplegia occurred because of reliance on negative flexible cystoscopy and single biopsy, negative ultrasound examination of urinary bladder, and computerised tomography of pelvis. Difficulties in scheduling cystoscopy also contributed to a delay of nearly ten months between the onset of haematuria and establishing a histological diagnosis of vesical malignancy in this patient. The time interval between transurethral resection and cystectomy was 42 days. This delay was mainly due to scheduling of surgery. Conclusion We learn from this case that doctors should be aware of the limitations of negative flexible cystoscopy and single biopsy, cytology of urine, ultrasound examination of urinary bladder, and computed tomography of pelvis for diagnosis of bladder cancer in spinal cord injury patients. Random bladder biopsies must be considered under general anaesthesia when there is high suspicion of bladder cancer. Spinal cord injury patients with lesions above T-6 may develop autonomic dysreflexia; therefore, one should be extremely well prepared to prevent or manage autonomic dysreflexia when performing cystoscopy and bladder biopsy. Spinal cord injury patients, who pass blood in urine, should be accorded top priority in scheduling of investigations and surgical procedures.

  19. Research progress about correlation between HER - 2 expression and Lauren classifica-tion of gastric cancer%胃癌 HER -2表达和 Lauren 分型的相关性研究进展

    Institute of Scientific and Technical Information of China (English)

    杨娟; 阚捷

    2015-01-01

    HER - 2ˊs over - expression occurs with stomach cancer,invasion,planting and metastasis. There are a lot about the gastric cancer clinical stage and pathological diagnostic criteria which are still controversial. Lauren is one of the clinical classification of the simple and effective method for classification of gastric cancer. Based on histomorphol-ogy and cell characteristics,it can be divided into three types:diffuse type,intestinal type and mixed type. Some stud-ies suggest that intestinal type gastric cancer prognosis is better than diffuse type,and intestinal type gastric cancer HER - 2 positive rate is high,which may affect the HER - 2 in gastric cancer prognostic factors to predict. The rela-tionship between HER - 2ˊs over - expression and Lauren classification,what can be affected the patientsˊ survial, whether combination of the two can be the best predictor or not need further study. The progress of HER - 2ˊsexpres-sion and the Lauren classification are reviewed.%HER -2的过表达与胃癌的发生、浸润、种植与转移过程相关。一直以来关于胃癌的临床分期和病理诊断标准有很多且争论较多,Lauren 分型是临床中简便且有效的胃癌分类方法之一,根据胃癌的组织形态和细胞特点分为弥漫型、肠型和混合型。一些研究表明,肠型胃癌预后好于弥漫型胃癌,且肠型胃癌中HER -2阳性率较高,这些可能都会影响 HER -2预测胃癌预后的因素。胃癌 HER -2过表达和 Lauren 分型的关系如何,两者影响患者生存期的因素有哪些,两者结合能否成为胃癌最好的预测因子等尚待研究。本文就胃癌 HER -2表达和 Lauren 分型的相关性研究进展进行综述。

  20. Remote Sensing Classification Uncertainty: Validating Probabilistic Pixel Level Classification

    Science.gov (United States)

    Vrettas, Michail; Cornford, Dan; Bastin, Lucy; Pons, Xavier; Sevillano, Eva; Moré, Gerard; Serra, Pere; Ninyerola, Miquel

    2013-04-01

    plotting reliability diagrams and computing Brier Skill Scores. We show that a combination of the various classifiers provides the most reliable probabilistic predictions (and also the best deterministic predictions). We show that the classification uncertainty is very spatially variable and reliably estimated statistically, and discuss possible summary measures for representing the overall uncertainty to users. We show how probabilistic classification results can be encoded using the recently developed GeoViQua Quality Model and UncertML. We discuss the importance of the results in terms of classification in general and consider the relation between probabilistic classification and the issue of mixed pixels, consisting of more than one class. We also describe how the probabilistic classification results can be propagated through a complex workflow that considers the payment of farmers in the region based on the degree to which their fields are flooded from a given time period.

  1. Classification and Regression Tree Analysis of Clinical Patterns to Predict the Survival of Patients with Advanced Non-small Cell Lung Cancer Treated with Erlotinib

    Directory of Open Access Journals (Sweden)

    Yutao LIU

    2011-10-01

    Full Text Available Background and objective Erlotinib is a targeted therapy drug for non-small cell lung cancer (NSCLC. It has been proven that, there was evidence of various survival benefits derived from erlotinib in patients with different clinical features, but the results are conflicting. The aim of this study is to identify novel predictive factors and explore the interactions between clinical variables as well as their impact on the survival of Chinese patients with advanced NSCLC heavily treated with erlotinib. Methods The clinical and follow-up data of 105 Chinese NSCLC patients referred to the Cancer Hospital and Institute, Chinese Academy of Medical Sciences from September 2006 to September 2009 were analyzed. Multivariate analysis of progressive-free survival (PFS was performed using recursive partitioning referred to as the classification and regression tree (CART analysis. Results The median PFS of 105 eligible consecutive Chinese NSCLC patients was 5.0 months (95%CI: 2.9-7.1. CART analysis was performed for the initial, second, and third split in the lymph node involvement, the time of erlotinib administration, and smoking history. Four terminal subgroups were formed. The longer values for the median PFS were 11.0 months (95%CI: 8.9-13.1 for the subgroup with no lymph node metastasis and 10.0 months (95%CI: 7.9-12.1 for the subgroup with lymph node involvement, but not over the second-line erlotinib treatment with a smoking history ≤35 packs per year. The shorter values for the median PFS were 2.3 months (95%CI: 1.6-3.0 for the subgroup with lymph node metastasis and over the second-line erlotinib treatment, and 1.3 months (95%CI: 0.5-2.1 for the subgroup with lymph node metastasis, but not over the second-line erlotinib treatment with a smoking history >35 packs per year. Conclusion Lymph node metastasis, the time of erlotinib administration, and smoking history are closely correlated with the survival of advanced NSCLC patients with first- to

  2. Tissue Classification

    DEFF Research Database (Denmark)

    Van Leemput, Koen; Puonti, Oula

    2015-01-01

    Computational methods for automatically segmenting magnetic resonance images of the brain have seen tremendous advances in recent years. So-called tissue classification techniques, aimed at extracting the three main brain tissue classes (white matter, gray matter, and cerebrospinal fluid), are now...... well established. In their simplest form, these methods classify voxels independently based on their intensity alone, although much more sophisticated models are typically used in practice. This article aims to give an overview of often-used computational techniques for brain tissue classification...

  3. Methodological challenges in quality of life research among Turkish and Moroccan ethnic minority cancer patients: translation, recruitment and ethical issues

    NARCIS (Netherlands)

    Hoopman, R.; Terwee, C.B.; Muller, M.T.; Ory, F.; Aaronson, N.K.

    2009-01-01

    The large population of first generation Turkish and Moroccan immigrants who moved to Western Europe in the 1960s and 1970s is now reaching an age at which the incidence of chronic diseases, including cancer, rises sharply. To date, little attention has been paid to the health-related quality of lif

  4. Transporter Classification Database (TCDB)

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Transporter Classification Database details a comprehensive classification system for membrane transport proteins known as the Transporter Classification (TC)...

  5. 乳腺癌组织学分级系统的研究进展和发展方向%Research progress and development direction on histological classification system of breast cancer

    Institute of Scientific and Technical Information of China (English)

    王林伟(综述); 袁静萍(综述); 李雁(审校)

    2014-01-01

    组织学分级系统( Histological classification system ,HCS)是判断和预测乳腺癌生物学行为的重要分级系统之一,本文结合国际相关文献,综述该系统的研究进展和发展方向。文献检索回顾HCS的起源及发展历程,详述Nottingham分级系统内容,分析该系统的不足,介绍新型分级系统。乳腺癌HCS发展已有百年历史,当前应用最广的Nottingham分级系统,是以癌细胞形态学为基础的系统,其存在纳入指标单一、评估变异大和评估效率低等缺点。国际上最新开发了“核+增殖”分级系统、计算机辅助分级系统和综合预测模型等多种分级系统。乳腺癌HCS的未来发展方向将是运用高通量分析方法,在癌细胞和肿瘤微环境基础上,分析与预后密切相关的分子信息,预测患者预后和指导个体化治疗。%Histological classification system ( HCS) is an important system in judging and predicting ma-lignant behaviors of breast cancer .This study is aimed to analyze research progress and development direction of HCS by perusing literatures ,including the origin and development progress of HCS ,contents and deficiencies of Nottingham classification system(NCS),and introduction of novel classification system .HCS of breast cancer has a history of more than one hundred years ,among which NCS is the most widely used ,based on morphological fea-tures of cancer cells .However,there are still some shortcomings about NCS ,such as few indexes incorporation , great evaluation variation and low evaluation efficiency .Recently ,many newly evaluation systems have been devel-oped,including“nucleus+proliferation”classification system ,computer assisted classification system and compre-hensive prognostic classification model .Therefore,the future development directions of HCS on breast cancer is to use high throughput analysis technology to extract and analyze the hidden molecular information in

  6. Interobserver variations in diagnosing asbestosis according to the ILO classification.

    Science.gov (United States)

    Perić, Irena; Novak, Katarina; Barisić, Igor; Mise, Kornelija; Vucković, Maja; Janković, Stipan; Tocilj, Jadranka

    2009-06-01

    Inhalation of asbestos fibres leads to asbestosis of the pleura and the lung, with possible progression to lung cancer and malignant pleural or peritoneal mesothelioma. Asbestosis remains difficult to diagnose, especially in its early stages. The most important role in its diagnosis is that of chest radiographs. The aim of this cross-sectional study was to address interobserver variations in interpreting chest radiographs in asbestos workers, which remain to be an issue, despite improvements in the International Labour Office (ILO) classification system. In our ten-year study, we investigated 318 workers occupationally exposed to asbestos, and in 210 workers with diagnosed asbestos-related changes we compared interpretations of chest radiographs according to ILO by two independent radiologists. The apparent degree of interobserver variation in classifying lung fibrosis was 26.66% for the diameter of changes and 42.2% for the profusion of the changes. In cases with diffuse pleural thickening, the interobserver variation using ILO procedures was 34.93%. This investigation raises the issue of standardisation and objectivity of interpretation of asbestosis according to the ILO classification system. This study has revealed a significant disagreement in the estimated degree of pleural and parenchymal asbestos pulmonary disease. This is why we believe high-resolution computed tomography (HRCT) should also be used as a part of international classification. PMID:19581213

  7. Interobserver variations in diagnosing asbestosis according to the ILO classification.

    Science.gov (United States)

    Perić, Irena; Novak, Katarina; Barisić, Igor; Mise, Kornelija; Vucković, Maja; Janković, Stipan; Tocilj, Jadranka

    2009-06-01

    Inhalation of asbestos fibres leads to asbestosis of the pleura and the lung, with possible progression to lung cancer and malignant pleural or peritoneal mesothelioma. Asbestosis remains difficult to diagnose, especially in its early stages. The most important role in its diagnosis is that of chest radiographs. The aim of this cross-sectional study was to address interobserver variations in interpreting chest radiographs in asbestos workers, which remain to be an issue, despite improvements in the International Labour Office (ILO) classification system. In our ten-year study, we investigated 318 workers occupationally exposed to asbestos, and in 210 workers with diagnosed asbestos-related changes we compared interpretations of chest radiographs according to ILO by two independent radiologists. The apparent degree of interobserver variation in classifying lung fibrosis was 26.66% for the diameter of changes and 42.2% for the profusion of the changes. In cases with diffuse pleural thickening, the interobserver variation using ILO procedures was 34.93%. This investigation raises the issue of standardisation and objectivity of interpretation of asbestosis according to the ILO classification system. This study has revealed a significant disagreement in the estimated degree of pleural and parenchymal asbestos pulmonary disease. This is why we believe high-resolution computed tomography (HRCT) should also be used as a part of international classification.

  8. Biological markers of invasive breast cancer.

    Science.gov (United States)

    Matsumoto, Akiko; Jinno, Hiromitsu; Ando, Tomofumi; Fujii, Taku; Nakamura, Tetsuya; Saito, Junichi; Takahashi, Maiko; Hayashida, Tetsu; Kitagawa, Yuko

    2016-02-01

    Biological markers for breast cancer are biomolecules that result from cancer-related processes and are associated with particular clinical outcomes; they thus help predict responses to therapy. In recent years, gene expression profiling has made the molecular classification of breast cancer possible. Classification of breast cancer by immunohistochemical expression of estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2 and Ki-67 is standard practice for clinical decision-making. Assessments of hormone receptor expression and human epidermal growth factor receptor 2 overexpression help estimate benefits from targeted therapies and have greatly improved prognoses for women with these breast cancer types. Although Ki-67 positivity is associated with an adverse outcome, its clear identification is an aid to optimal disease management. Standardization of testing methodology to minimize inter-laboratory measurement variations is a remaining issue. Multi-gene assays provide prognostic information and identify those most likely to benefit from systemic chemotherapy. Incorporating molecular profiles with conventional pathological classification would be more precise, and could enhance the clinical development of personalized therapy in breast cancer. PMID:26486826

  9. Pulmonary function following adjuvant chemotherapy and radiotherapy for breast cancer and the issue of three-dimensional treatment planning

    International Nuclear Information System (INIS)

    Background and purpose: The frequency and grade of pulmonary complications following adjuvant radiotherapy for breast cancer are still debated. This study focuses on loss of pulmonary function. Materials and methods: We have measured the reduction of pulmonary function 5 months following radiotherapy in 144 node-positive stage II breast cancer patients by using pulmonary function tests. Results: No deterioration of pulmonary function was detected among the patients who were treated with local radiotherapy. On the contrary, there was a mean increase in diffusion capacity by 7% (P=0.004) following radiotherapy, which most likely was explained by the adjuvant chemotherapy administered prior to the baseline pulmonary function tests. Patients undergoing loco-regional radiotherapy showed a mean reduction in diffusion capacity by 5% (P<0.001) and in vital capacity by 3% (P=0.001). The subset of patients (9%) who were diagnosed with severe pulmonary complications needing cortisone treatment had significantly larger mean paired differences in vital capacity (-0.446 L, -15% (equivalent to 15 years of normal ageing or the loss of 3/4 of a lung lobe)) compared to the patients who were asymptomatic (-0.084 L) (P<0.05). When the effects of potential confounding factors and different radiotherapy techniques were tested on the reduction of pulmonary function by stepwise multiple regression analysis, a significant correlation was found only to loco-regional radiotherapy including the lower internal mammary lymph nodes. Conclusions: We conclude that a clinically important reduction of pulmonary function is seen in the subset of patients who are diagnosed with severe pulmonary complication following loco-regional radiotherapy for breast cancer. The results of this study warrant further studies based on individual lung dose volume histograms. (Copyright (c) 1998 Elsevier Science B.V., Amsterdam. All rights reserved.)

  10. [Landscape classification: research progress and development trend].

    Science.gov (United States)

    Liang, Fa-Chao; Liu, Li-Ming

    2011-06-01

    Landscape classification is the basis of the researches on landscape structure, process, and function, and also, the prerequisite for landscape evaluation, planning, protection, and management, directly affecting the precision and practicability of landscape research. This paper reviewed the research progress on the landscape classification system, theory, and methodology, and summarized the key problems and deficiencies of current researches. Some major landscape classification systems, e. g. , LANMAP and MUFIC, were introduced and discussed. It was suggested that a qualitative and quantitative comprehensive classification based on the ideology of functional structure shape and on the integral consideration of landscape classification utility, landscape function, landscape structure, physiogeographical factors, and human disturbance intensity should be the major research directions in the future. The integration of mapping, 3S technology, quantitative mathematics modeling, computer artificial intelligence, and professional knowledge to enhance the precision of landscape classification would be the key issues and the development trend in the researches of landscape classification.

  11. Lectin binding and effects in culture on human cancer and non-cancer cell lines: examination of issues of interest in drug design strategies.

    Science.gov (United States)

    Petrossian, Karineh; Banner, Lisa R; Oppenheimer, Steven B

    2007-01-01

    By using a non-cancer and a cancer cell line originally from the same tissue (colon), coupled with testing lectins for cell binding and for their effects on these cell lines in culture, this study describes a simple multi-parameter approach that has revealed some interesting results that could be useful in drug development strategies. Two human cell lines, CCL-220/Colo320DM (human colon cancer cells, tumorigenic in nude mice) and CRL-1459/CCD-18Co (non-malignant human colon cells) were tested for their ability to bind to agarose microbeads derivatized with two lectins, peanut agglutinin (Arachis hypogaea agglutinin, PNA) and Dolichos biflorus agglutinin (DBA), and the effects of these lectins were assessed in culture using the MTT assay. Both cell lines bound to DBA-derivatized microbeads, and binding was inhibited by N-acetyl-D-galactosamine, but not by L-fucose. Neither cell line bound to PNA-derivatized microbeads. Despite the lack of lectin binding using the rapid microbead method, PNA was mitogenic in culture at some time points and its mitogenic effect displayed a reverse-dose response. This was also seen with effects of DBA on cells in culture. While this is a simple study, the results were statistically highly significant and suggest that: (1) agents may not need to bind strongly to cells to exert biological effects, (2) cell line pairs derived from diseased and non-diseased tissue can provide useful comparative data on potential drug effects and (3) very low concentrations of potential drugs might be initially tested experimentally because reverse-dose responses should be considered. PMID:17706752

  12. 3-Bromopyruvate (3BP) a fast acting, promising, powerful, specific, and effective "small molecule" anti-cancer agent taken from labside to bedside: introduction to a special issue.

    Science.gov (United States)

    Pedersen, Peter L

    2012-02-01

    . Significantly, in subsequent experiments with rodents (19 animals with advanced cancer) Ko led a project in which 3BP was shown in a short treatment period to eradicate all (100%). Ko's and co-author's findings once published attracted global attention leading world-wide to many other studies and publications related to 3BP and its potent anti-cancer effect. This Issue of the Journal of Bioenergetics and Biomembranes (JOBB 44-1) captures only a sampling of research conducted to date on 3BP as an anticancer agent, and includes also a Case Report on the first human patient known to the author to be treated with specially formulated 3BP. Suffice it to say in this bottom line, "3BP, a small molecule, results in a remarkable therapeutic effect when it comes to treating cancers exhibiting a "Warburg effect". This includes most cancer types. PMID:22382780

  13. GAUSSIAN MIXTURE MODEL BASED CLASSIFICATION OF MICROCALCIFICATION IN MAMMOGRAMS USING DYADIC WAVELET TRANSFORM

    Directory of Open Access Journals (Sweden)

    Suman Mishra

    2013-01-01

    Full Text Available Breast cancer is a serious health related issue for women in the world. Cancer detected at premature stages has a higher probability of being cured, whereas at advanced stages chances of survival are bleak. Screening programs aid in detecting potential breast cancer at early stages of the disease. Among the various screening programs, mammography is the proven standard for screening breast cancer, because even small tumors can be detected on mammograms. In this study, a novel feature extraction technique based on dyadic wavelet transform for classification of microcalcification in digital mammograms is proposed. In the feature extraction module, the high frequency sub-bands obtained from the decomposition of dyadic wavelet transform is used to form innovative sub-bands. From the newly constructed sub-bands, the features such as energy and entropy are computed. In the classification module, the extracted features are fed into a Gaussian Mixture Model (GMM classifier and the severity of given microcalcification; benign or malignant are given. A classification accuracy of 95.5% is obtained using the proposed approach on DDSM database.

  14. 5 CFR 511.607 - Nonappealable issues.

    Science.gov (United States)

    2010-01-01

    ... 5 Administrative Personnel 1 2010-01-01 2010-01-01 false Nonappealable issues. 511.607 Section 511... UNDER THE GENERAL SCHEDULE Classification Appeals § 511.607 Nonappealable issues. (a) The following issues are not appealable to the Office under this subpart. Such issues may be reviewed...

  15. Molecular classification in breast cancer:a clinicopathological analysis of 745 cases%乳腺癌分子分类临床病理745例分析

    Institute of Scientific and Technical Information of China (English)

    刘德纯; 吴礼高; 赵云霞; 承泽农

    2011-01-01

    Objective:To explore the molecular classification in breast cancer and the clinicopathological features of variant subtypes. Methods: The expression of ER, PR and HER2 (C-erbB-2) in the cases of breast cancer detected immunohistochemically ( S-P method) were studied retrospectively. The cases were reclassified according to the standard of molecular classification,and the clinicopathological features were observed and compared with the WHO histological classification. Results:The invasive breast carcinomas 745 cases were divided into 5 subtypes according to the molecular classification. Among these cases,luminal A subtype accounted for 235 cases, luminal B subtype 95 casas,HER2 overexpressing subtype 141 cases and basal-like subtype( BLBC)/triple negative breast cancer 142 cases, respectively. The remainder was not classified. The clinicopathological features were described. Conclusions: The moleculai and histological classifications of breast cancer are partly responsive. lmmuohistochemical technique is helpful standardization to the molecular classification,which is more directly related to the therapy and prognosis and so worthy of wide employment and further standardization.%目的:探讨乳腺癌分子分类及其各种亚型的临床病理学特征.方法:回顾性分析既往研究中曾用免疫组织化学S-P法检测浸润性乳腺癌中癌细胞表达雌激素受体、孕激素受体和表皮生长因子受体蛋白表达的病例,按照分子分类的标准重新分类,观察各种亚型的临床病理学特点,并与WHO组织学分类相比较.结果:将符合标准的745例浸润性乳腺癌分为5种分子亚型:管腔A型235例,管腔B型95例,表皮生长因子受体过表达型141例,基底细胞样型/三阴性型142例,其余132例未确定分类.描述各亚型临床病理特点.结论:乳腺癌的分子分类与WHO组织学分类间有一定对应关系.免疫组织化学标记有助于分子分类,分子分类亚型对于治疗和预后具有

  16. Ki67在不同分子类型乳腺癌组织中的表达及意义%Significance of Ki67 Expression in Different Molecular Classifications of Breast Cancer

    Institute of Scientific and Technical Information of China (English)

    沈三弟; 陈卓荣; 黄湛; 肖高芳; 雷睿文

    2012-01-01

    目的 探讨Ki67在不同分子类型乳腺癌组织中的表达及临床意义.方法 采用免疫组织化学法,检测368例乳腺癌组织标本中Ki67表达情况,采用Wilcoxon秩和检验分析Ki67在不同分子类型乳腺癌组织中的表达差异;采用Spearman秩相关方法,分析Ki67表达与原发肿瘤大小、腋窝淋巴结转移及病理分期等的相关性.结果 Lumina型、Her-2型及三阴型乳腺癌组织中Ki67表达强度无显著性差异(χ2=0.015,P=0.993);Ki67表达强度与Lumina型乳腺癌的原发肿瘤大小、腋窝淋巴结转移及病理分期呈正相关性(γs=0.167,P=0.013;γs=0.142,P=0.035;γs=0.165,P=0.014),而与Her-2型及三阴型乳腺癌的以上3个病理因素无显著性相关(P>0.05).结论 在Lumina型、Her-2型及三阴型乳腺癌组织中Ki67表达强度无显著性差异,Ki67表达强度与Lumina型乳腺癌的临床病理因素相关,是Lumina型乳腺癌的不良预后因素.%Objective To investigate the difference of Ki67 expression in three molecular classifications of breast cancer and clinic significance. Methods The Ki67 expression was detected in 368 cases of breast cancer tissue specimen by immuno-histochemistry( IHC ), The difference of Ki67 expression was analyzed by Wilcoxon rank sum test among three molecular classifications of breast cancer tissues; its correlation with primary tumor diameter( PTD ), axillary lymph node( ALN ) metastasis and pathological stage were analyzed by Spearman rank correlation. Results The difference of Ki67 expression was not significant a-mong the Lumina type,Her-2 type, triple-negative( TN ) type breast cancer tissues( x2=0.015,P=0. 993 );The intensity of Ki67 expression was correlate with PTD, ALN metastasis and pathological stage in Lumina type breast cancer ( ys =0. 167 ,P = 0. 013 ; yS = 0. 142 ,P = 0. 035; ys =0. 165 ,P = 0. 014 ), while not in Her-2 type and TN type breast cancer. Conclusion The intensity of Ki67 expression was not significant among three

  17. Classification of Meteorological Drought

    Institute of Scientific and Technical Information of China (English)

    Zhang Qiang; Zou Xukai; Xiao Fengjin; Lu Houquan; Liu Haibo; Zhu Changhan; An Shunqing

    2011-01-01

    Background The national standard of the Classification of Meteorological Drought (GB/T 20481-2006) was developed by the National Climate Center in cooperation with Chinese Academy of Meteorological Sciences,National Meteorological Centre and Department of Forecasting and Disaster Mitigation under the China Meteorological Administration (CMA),and was formally released and implemented in November 2006.In 2008,this Standard won the second prize of the China Standard Innovation and Contribution Awards issued by SAC.Developed through independent innovation,it is the first national standard published to monitor meteorological drought disaster and the first standard in China and around the world specifying the classification of drought.Since its release in 2006,the national standard of Classification of Meteorological Drought has been used by CMA as the operational index to monitor and drought assess,and gradually used by provincial meteorological sureaus,and applied to the drought early warning release standard in the Methods of Release and Propagation of Meteorological Disaster Early Warning Signal.

  18. Cancer

    Science.gov (United States)

    ... Blood tests (which look for chemicals such as tumor markers) Bone marrow biopsy (for lymphoma or leukemia) Chest ... the case with skin cancers , as well as cancers of the lung, breast, and colon. If the tumor has spread ...

  19. Cancer

    Science.gov (United States)

    Cancer begins in your cells, which are the building blocks of your body. Normally, your body forms ... be benign or malignant. Benign tumors aren't cancer while malignant ones are. Cells from malignant tumors ...

  20. (18)F-FDG PET/CT quantification in head and neck squamous cell cancer: principles, technical issues and clinical applications.

    Science.gov (United States)

    Manca, Gianpiero; Vanzi, Eleonora; Rubello, Domenico; Giammarile, Francesco; Grassetto, Gaia; Wong, Ka Kit; Perkins, Alan C; Colletti, Patrick M; Volterrani, Duccio

    2016-07-01

    (18)F-FDG PET/CT plays a crucial role in the diagnosis and management of patients with head and neck squamous cell cancer (HNSCC). The major clinical applications of this method include diagnosing an unknown primary tumour, identifying regional lymph node involvement and distant metastases, and providing prognostic information. (18)F-FDG PET/CT is also used for precise delineation of the tumour volume for radiation therapy planning and dose painting, and for treatment response monitoring, by detecting residual or recurrent disease. Most of these applications would benefit from a quantitative approach to the disease, but the quantitative capability of (18)F-FDG PET/CT is still underused in HNSCC. Innovations in PET/CT technology promise to overcome the issues that until now have hindered the employment of dynamic procedures in clinical practice and have limited "quantification" to the evaluation of standardized uptake values (SUV), de facto a semiquantitative parameter, the limits of which are well known to the nuclear medicine community. In this paper the principles of quantitative imaging and the related technical issues are reviewed so that professionals involved in HNSCC management can reflect on the advantages of "true" quantification. A discussion is then presented on how semiquantitative information is currently used in clinical (18)F-FDG PET/CT applications in HNSCC, by discussing the improvements that could be obtained with more advanced and "personalized" quantification techniques.

  1. (18)F-FDG PET/CT quantification in head and neck squamous cell cancer: principles, technical issues and clinical applications.

    Science.gov (United States)

    Manca, Gianpiero; Vanzi, Eleonora; Rubello, Domenico; Giammarile, Francesco; Grassetto, Gaia; Wong, Ka Kit; Perkins, Alan C; Colletti, Patrick M; Volterrani, Duccio

    2016-07-01

    (18)F-FDG PET/CT plays a crucial role in the diagnosis and management of patients with head and neck squamous cell cancer (HNSCC). The major clinical applications of this method include diagnosing an unknown primary tumour, identifying regional lymph node involvement and distant metastases, and providing prognostic information. (18)F-FDG PET/CT is also used for precise delineation of the tumour volume for radiation therapy planning and dose painting, and for treatment response monitoring, by detecting residual or recurrent disease. Most of these applications would benefit from a quantitative approach to the disease, but the quantitative capability of (18)F-FDG PET/CT is still underused in HNSCC. Innovations in PET/CT technology promise to overcome the issues that until now have hindered the employment of dynamic procedures in clinical practice and have limited "quantification" to the evaluation of standardized uptake values (SUV), de facto a semiquantitative parameter, the limits of which are well known to the nuclear medicine community. In this paper the principles of quantitative imaging and the related technical issues are reviewed so that professionals involved in HNSCC management can reflect on the advantages of "true" quantification. A discussion is then presented on how semiquantitative information is currently used in clinical (18)F-FDG PET/CT applications in HNSCC, by discussing the improvements that could be obtained with more advanced and "personalized" quantification techniques. PMID:26780912

  2. 18F-FDG PET/CT quantification in head and neck squamous cell cancer: principles, technical issues and clinical applications

    International Nuclear Information System (INIS)

    18F-FDG PET/CT plays a crucial role in the diagnosis and management of patients with head and neck squamous cell cancer (HNSCC). The major clinical applications of this method include diagnosing an unknown primary tumour, identifying regional lymph node involvement and distant metastases, and providing prognostic information. 18F-FDG PET/CT is also used for precise delineation of the tumour volume for radiation therapy planning and dose painting, and for treatment response monitoring, by detecting residual or recurrent disease. Most of these applications would benefit from a quantitative approach to the disease, but the quantitative capability of 18F-FDG PET/CT is still underused in HNSCC. Innovations in PET/CT technology promise to overcome the issues that until now have hindered the employment of dynamic procedures in clinical practice and have limited ''quantification'' to the evaluation of standardized uptake values (SUV), de facto a semiquantitative parameter, the limits of which are well known to the nuclear medicine community. In this paper the principles of quantitative imaging and the related technical issues are reviewed so that professionals involved in HNSCC management can reflect on the advantages of ''true'' quantification. A discussion is then presented on how semiquantitative information is currently used in clinical 18F-FDG PET/CT applications in HNSCC, by discussing the improvements that could be obtained with more advanced and ''personalized'' quantification techniques. (orig.)

  3. Attitudes toward Palliative Care and End of Life Issues: A Prospective Survey in Patients with Metastatic Cancer

    LENUS (Irish Health Repository)

    Docherty, C

    2016-05-01

    Palliative care (PC) positively impacts patient outcomes, decreases hospital admissions and improves quality of life. Despite evidence, PC resources are reported as under-utilised. Few studies have explored patient attitudes towards PC. This study evaluated patient attitudes towards PC. It was a prospective study conducted in oncology outpatient clinics. A 26-item questionnaire was distributed to those with metastatic cancer (N = 44). Sixty percent believed PC can make people ‘feel better’, 63.4% believed PC is offered when nothing more can be done. Most were unsure or disagreed that opioids are addictive. Eighty percent reported symptom control is more important than prolonging life. Sixty-one percent strongly agreed or agreed that ‘losing hope makes people die sooner’. Although PC was deemed beneficial, a significant relationship exists between familiarity with PC and thinking it’s offered when ‘nothing more can be done’. Lack of knowledge about opioids, preference for symptom control over life prolonging measures and the importance of hope were also emphasised.

  4. Dietary intake measurement using 7 d diet diaries in British men and women in the European Prospective Investigation into Cancer-Norfolk study: a focus on methodological issues.

    Science.gov (United States)

    Lentjes, Marleen A H; McTaggart, Alison; Mulligan, Angela A; Powell, Natasha A; Parry-Smith, David; Luben, Robert N; Bhaniani, Amit; Welch, Ailsa A; Khaw, Kay-Tee

    2014-02-01

    The aim of the present study was to describe the energy, nutrient and crude v. disaggregated food intake measured using 7 d diet diaries (7dDD) for the full baseline Norfolk cohort recruited for the European Prospective Investigation into Cancer (EPIC-Norfolk) study, with emphasis on methodological issues. The first data collection took place between 1993 and 1998 in Norfolk, East Anglia (UK). Of the 30,445 men and women, aged 40-79 years, registered with a general practitioner invited to participate in the study, 25,639 came for a health examination and were asked to complete a 7dDD. Data from diaries with data recorded for at least 1 d were obtained for 99% members of the cohort; 10,354 (89·8%) of the men and 12,779 (91·5%) of the women completed the diet diaries for all 7 d. Mean energy intake (EI) was 9·44 (SD 2·22) MJ/d and 7·15 (SD 1·66) MJ/d, respectively. EI remained approximately stable across the days, but there was apparent under-reporting among the participants, especially among those with BMI >25 kg/m². Micronutrient density was higher among women than among men. In conclusion, under-reporting is an issue, but not more so than that found in national surveys. How foods were grouped (crude or disaggregated) made a difference to the estimates obtained, and comparison of intakes showed wide limits of agreement. The choice of variables influences estimates obtained from the food group data; while this may not alter the ranking of individuals within studies, this issue may be relevant when comparing absolute food intakes between studies. PMID:24041116

  5. Ethical, social and economic issues in familial breast cancer: a compilation of views from the E.C. Biomed II Demonstration Project.

    Science.gov (United States)

    Steel, M; Smyth, E; Vasen, H; Eccles, D; Evans, G; Møller, P; Hodgson, S; Stoppa-Lyonnet, D; Chang-Claude, J; Caligo, M; Morrison, P; Haites, N

    1999-10-01

    Demand for clinical services for familial breast cancer is continuing to rise across Europe. Service provision is far from uniform and, in most centres, its evolution has been determined by local conditions, specifically by local research interests, rather than by central planning. However, in a number of countries there is evidence of progress towards co-ordinated development and audit of clinics providing risk assessment, counselling, screening and, in some cases, prophylactic intervention. Much important information should emerge from continued observation and comparative assessment of these developments. In most countries for which relevant data are available, there is a distinct bias towards higher social class among those who avail themselves of clinic facilities (in line with findings from many other health-promotion initiatives). This should be addressed when considering future organisation of clinical services. Molecular genetic studies designed to identify the underlying mutations responsible for familial breast cancer are not generally regarded as part of the clinical service and are funded through research grants (if at all). Economic considerations suggest that there is a case for keeping this policy under review. Familial cancers throw into sharp relief certain ethical and legal issues that have received much recent attention from government advisory bodies, patients' representatives, professional commentators and the popular media. Two are of particular importance; first, the right to gain access to medical records of relatives, in order to provide accurate risk assessment for a given family member, versus the right to privacy in respect of personal medical information and, second, the obligation (or otherwise) to inform family members of their risk status if they have not actively sought that knowledge. The legal position seems to vary from country to country and, in many cases, is unclear. In view of pressures to establish uniform approaches to

  6. Radioactive iodine (131I) therapy for differentiated thyroid cancer in Japan: current issues with historical review and future perspective.

    Science.gov (United States)

    Higashi, Tatsuya; Kudo, Takashi; Kinuya, Seigo

    2012-02-01

    Radioactive iodine (RAI, (131)I) has been used as a therapeutic agent for differentiated thyroid cancer (DTC) with over 50 years of history. Recently, it is now attracting attention in medical fields as one of the molecular targeting therapies, which is known as targeted radionuclide therapy. Radioactive iodine therapy (RIT) for DTC, however, is now at stake in Japan, because Japan is confronting several problems, including the recent occurrence of the Great East Japan Disaster (GEJD) in March 2011. RIT for DTC is strictly limited in Japan and requires hospitalization. Because of strict regulations, severe lack of medical facilities for RIT has become one of the most important medical problems, which results in prolonged waiting time for Japanese patients with DTC, including those with distant metastasis, who wish to receive RIT immediately. This situation is also due to various other factors, such as prolonged economic recession, super-aging society, and subsequent rapidly changing medical environment. In addition, due to the experience of atomic bombings in Hiroshima and Nagasaki, Japanese people have strong feeling of "radiophobia". There is fear that GEJD and related radiation contamination may worsen this feeling, which might be reflected in more severe regulation of RIT. To overcome these difficulties, it is essential to collect and disclose all information about the circumstances around this therapy in Japan. In this review, we would like to look at this therapy through several lenses, including historical, cultural, medical, and socio-economic points of view. We believe that clarifying the problems is sure to lead to the resolution of this complicated situation. We have also included several recommendations for future improvements. PMID:22081274

  7. Classification in Australia.

    Science.gov (United States)

    McKinlay, John

    Despite some inroads by the Library of Congress Classification and short-lived experimentation with Universal Decimal Classification and Bliss Classification, Dewey Decimal Classification, with its ability in recent editions to be hospitable to local needs, remains the most widely used classification system in Australia. Although supplemented at…

  8. Classification in context

    DEFF Research Database (Denmark)

    Mai, Jens Erik

    2004-01-01

    This paper surveys classification research literature, discusses various classification theories, and shows that the focus has traditionally been on establishing a scientific foundation for classification research. This paper argues that a shift has taken place, and suggests that contemporary...... classification research focus on contextual information as the guide for the design and construction of classification schemes....

  9. Multi-borders classification

    OpenAIRE

    Mills, Peter

    2014-01-01

    The number of possible methods of generalizing binary classification to multi-class classification increases exponentially with the number of class labels. Often, the best method of doing so will be highly problem dependent. Here we present classification software in which the partitioning of multi-class classification problems into binary classification problems is specified using a recursive control language.

  10. Prostate Cancer

    OpenAIRE

    Eggener, Scott

    2011-01-01

    Prostate cancer continues to be a significant public health issue worldwide, particularly in countries where men have life expectancies long enough to clinically manifest the disease. In many countries, it remains one of the leading causes of cancer-related morbidity and mortality.Although significant progress has been made over the past few decades, many elements regarding the diagnosis and management of patients with prostate cancer remain enigmatic. In this Prostate Cancer special issue, o...

  11. Validity of the recorded International Classification of Diseases, 10th edition diagnoses codes of bone metastases and skeletal-related events in breast and prostate cancer patients in the Danish National Registry of Patients

    Directory of Open Access Journals (Sweden)

    Annette Østergaard Jensen

    2009-07-01

    Full Text Available Annette Østergaard Jensen1, Mette Nørgaard1, Mellissa Yong2, Jon P Fryzek2, Henrik Toft Sørensen11Department of Clinical Epidemiology, Aarhus University hospital, Århus, Denmark; 2Global Epidemiology, Amgen inc., Thousands Oaks, CA, USAObjective: The clinical history of bone metastases and skeletal-related events (SREs secondary to cancers is not well understood. In support of studies of the natural history of bone metastases and SREs in Danish prostate and breast cancer patients, we estimated the sensitivity and specificity of hospital diagnoses for bone metastases and SREs (ie, radiation therapy to the bone, pathological or osteoporotic fractures, spinal cord compression and surgery to the bone in a nationwide medical registry in Denmark.Study design and setting: In North Jutland County, Denmark, we randomly sampled 100 patients with primary prostate cancer and 100 patients with primary breast cancer diagnoses from the National Registry of Patients (NRP, during the period January 1st, 2000 to December 31st, 2000 and followed them for up to five years after their cancer diagnosis. We used information from medical chart reviews as the reference for estimating sensitivity, and specificity of the NRP International Classification of Diseases, 10th edition (ICD-10 coding for bone metastases and SRE diagnoses. Results: For prostate cancer, the overall sensitivity of bone metastases or SRE coding in the NRP was 0.54 (95% confidence interval [CI]: 0.39–0.69, and the specificity was 0.96 (95% CI: 0.87–1.00. For breast cancer, the overall sensitivity of bone metastases or SRE coding in the NRP was 0.58 (95% CI: 0.34–0.80, and the specificity was 0.95 (95% CI: 0.88–0.99. Conclusion: We measured the validity of ICD-10 coding in the Danish NRP for bone metastases and SREs in prostate and breast cancer patients and found it has adequate sensitivity and high specificity. The NRP remains a valuable tool for clinical epidemiological studies of bone

  12. Remote Sensing Information Classification

    Science.gov (United States)

    Rickman, Douglas L.

    2008-01-01

    This viewgraph presentation reviews the classification of Remote Sensing data in relation to epidemiology. Classification is a way to reduce the dimensionality and precision to something a human can understand. Classification changes SCALAR data into NOMINAL data.

  13. Detecting relevant variables and interactions in supervised classification.

    OpenAIRE

    Romero-Morales, Dolores; Carrizosa, Emilio; Martin-Barragan, Belen

    2011-01-01

    The widely used Support Vector Machine (SVM) method has shown to yield good results in Supervised Classification problems. When the interpretability is an important issue, then classification methods such as Classification and Regression Trees (CART) might be more attractive, since they are designed to detect the important predictor variables and, for each predictor variable, the critical values which are most relevant for classification. However, when interactions between variables strongly ...

  14. SKIN CANCER

    OpenAIRE

    Made Putri Hendaria; AAGN Asmarajaya; Sri Maliawan

    2013-01-01

    Skin is an organ which protect the human body from the environment. It was build by milion cells. According to the changes in human lifestyle which tends to unhealthy life, increasing ultraviolet radiation, toxins, and genetics makes the cells who build the skin do the abnormal growth being cancer cells. Classification of skin cancer is according the most common three types, they are Basal Cell Carcinoma, Squamous Cell Carcinoma, and Malignant Melanoma. More than 3,5 milion skin cancer cases ...

  15. [Cancer].

    Science.gov (United States)

    de la Peña-López, Roberto; Remolina-Bonilla, Yuly Andrea

    2016-09-01

    Cancer is a group of diseases which represents a significant public health problem in Mexico and worldwide. In Mexico neoplasms are the second leading cause of death. An increased morbidity and mortality are expected in the next decades. Several preventable risk factors for cancer development have been identified, the most relevant including tobacco use, which accounts for 30% of the cancer cases; and obesity, associated to another 30%. These factors, in turn, are related to sedentarism, alcohol abuse and imbalanced diets. Some agents are well knokn to cause cancer such as ionizing radiation, viruses such as the papilloma virus (HPV) and hepatitis virus (B and C), and more recently environmental pollution exposure and red meat consumption have been pointed out as carcinogens by the International Agency for Research in Cancer (IARC). The scientific evidence currently available is insufficient to consider milk either as a risk factor or protective factor against different types of cancer. PMID:27603890

  16. Surgical implications of the new IASLC/ATS/ERS adenocarcinoma classification.

    Science.gov (United States)

    Van Schil, P E; Asamura, H; Rusch, V W; Mitsudomi, T; Tsuboi, M; Brambilla, E; Travis, W D

    2012-02-01

    A new adenocarcinoma classification was recently introduced by a joint working group of the International Association for the Study of Lung Cancer (IASLC), American Thoracic Society (ATS) and European Respiratory Society (ERS). A distinction is made between pre-invasive lesions, and minimally invasive and invasive adenocarcinoma. The confusing term "bronchioloalveolar carcinoma" is not used any more and new subcategories include adenocarcinoma in situ and minimally invasive adenocarcinoma. Due to a renewed interest in screen-detected nodules and early-stage lung cancers of <2 cm, this classification also has profound implications for thoracic surgeons. In this article, surgical topics are discussed: the role of a minimally invasive approach, especially video-assisted thoracic surgery, limited resection for early-stage lung cancer, the extent of lymph node dissection, the accuracy of intraoperative frozen section analysis, management of multiple lung nodules and prognostic factors in operated patients. Specific key issues are presented based on the current evidence and areas of surgical uncertainty are defined providing a basis for further studies. Thoracic surgeons will play a major role in the application and global introduction of this new adenocarcinoma classification. The remaining controversies regarding the precise diagnosis and management of early-stage lesions will have to be resolved by multidisciplinary and international collaboration. PMID:21828029

  17. {sup 18}F-FDG PET/CT quantification in head and neck squamous cell cancer: principles, technical issues and clinical applications

    Energy Technology Data Exchange (ETDEWEB)

    Manca, Gianpiero; Volterrani, Duccio [University Hospital of Pisa, Regional Center of Nuclear Medicine, Pisa (Italy); Vanzi, Eleonora [University Hospital of Siena, Service of Medical Physics, Siena (Italy); Rubello, Domenico; Grassetto, Gaia [Santa Maria della Misericordia Rovigo Hospital, Department of Nuclear Medicine, Rovigo (Italy); Giammarile, Francesco [Faculte Charles Merieux, Medecine Nucleaire, Centre Hospitalier and Biophysique, Lyon (France); Wong, Ka Kit [University of Michigan Hospital, Nuclear Medicine/Radiology Department, Ann Arbor, MI (United States); Nuclear Medicine Service, Department of Veterans Affairs Health System, Ann Arbor, MI (United States); Perkins, Alan C. [University of Nottingham, Department of Radiological Sciences, School of Medicine, Nottingham (United Kingdom); Colletti, Patrick M. [Southern University of California, Department of Radiology, Los Angeles, CA (United States)

    2016-07-15

    {sup 18}F-FDG PET/CT plays a crucial role in the diagnosis and management of patients with head and neck squamous cell cancer (HNSCC). The major clinical applications of this method include diagnosing an unknown primary tumour, identifying regional lymph node involvement and distant metastases, and providing prognostic information. {sup 18}F-FDG PET/CT is also used for precise delineation of the tumour volume for radiation therapy planning and dose painting, and for treatment response monitoring, by detecting residual or recurrent disease. Most of these applications would benefit from a quantitative approach to the disease, but the quantitative capability of {sup 18}F-FDG PET/CT is still underused in HNSCC. Innovations in PET/CT technology promise to overcome the issues that until now have hindered the employment of dynamic procedures in clinical practice and have limited ''quantification'' to the evaluation of standardized uptake values (SUV), de facto a semiquantitative parameter, the limits of which are well known to the nuclear medicine community. In this paper the principles of quantitative imaging and the related technical issues are reviewed so that professionals involved in HNSCC management can reflect on the advantages of ''true'' quantification. A discussion is then presented on how semiquantitative information is currently used in clinical {sup 18}F-FDG PET/CT applications in HNSCC, by discussing the improvements that could be obtained with more advanced and ''personalized'' quantification techniques. (orig.)

  18. Molecular subtype classification is a determinant of non-sentinel lymph node metastasis in breast cancer patients with positive sentinel lymph nodes.

    Directory of Open Access Journals (Sweden)

    Wenbin Zhou

    Full Text Available BACKGROUND: Previous studies suggested that the molecular subtypes were strongly associated with sentinel lymph node (SLN status. The purpose of this study was to determine whether molecular subtype classification was associated with non-sentinel lymph nodes (NSLN metastasis in patients with a positive SLN. METHODOLOGY AND PRINCIPAL FINDINGS: Between January 2001 and March 2011, a total of 130 patients with a positive SLN were recruited. All these patients underwent a complete axillary lymph node dissection. The univariate and multivariate analyses of NSLN metastasis were performed. In univariate and multivariate analyses, large tumor size, macrometastasis and high tumor grade were all significant risk factors of NSLN metastasis in patients with a positive SLN. In univariate analysis, luminal B subgroup showed higher rate of NSLN metastasis than other subgroup (P = 0.027. When other variables were adjusted in multivariate analysis, the molecular subtype classification was a determinant of NSLN metastasis. Relative to triple negative subgroup, both luminal A (P = 0.047 and luminal B (P = 0.010 subgroups showed a higher risk of NSLN metastasis. Otherwise, HER2 over-expression subgroup did not have a higher risk than triple negative subgroup (P = 0.183. The area under the curve (AUC value was 0.8095 for the Cambridge model. When molecular subtype classification was added to the Cambridge model, the AUC value was 0.8475. CONCLUSIONS: Except for other factors, molecular subtype classification was a determinant of NSLN metastasis in patients with a positive SLN. The predictive accuracy of mathematical models including molecular subtype should be determined in the future.

  19. Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes

    Directory of Open Access Journals (Sweden)

    Valérie Bourdès

    2010-01-01

    Full Text Available The aim of this study was to compare multilayer perceptron neural networks (NNs with standard logistic regression (LR to identify key covariates impacting on mortality from cancer causes, disease-free survival (DFS, and disease recurrence using Area Under Receiver-Operating Characteristics (AUROC in breast cancer patients. From 1996 to 2004, 2,535 patients diagnosed with primary breast cancer entered into the study at a single French centre, where they received standard treatment. For specific mortality as well as DFS analysis, the ROC curves were greater with the NN models compared to LR model with better sensitivity and specificity. Four predictive factors were retained by both approaches for mortality: clinical size stage, Scarff Bloom Richardson grade, number of invaded nodes, and progesterone receptor. The results enhanced the relevance of the use of NN models in predictive analysis in oncology, which appeared to be more accurate in prediction in this French breast cancer cohort.

  20. 肺癌细胞病理学样本组织学分类及分子病理学检测%Histological classification and molecular pathology of lung cancer cytopathology sample

    Institute of Scientific and Technical Information of China (English)

    徐海苗; 程晔; 孙文勇

    2013-01-01

    Objective To study histological classification and molecular detection solutions of cytopathology samples in lung cancer.Methods 120 cases of lung cancer cytopathology samples have made qualitative diagnosis in conventional smear,and have made the histological classification in part,and then carried out 8 immunohistochemical staining of thyroid transcription factor 1 (TIF-1),p63,E-calcium mucins (E-CAD),creatine kinase 5/6 (CK5/6),epithelial membrane antigen (EMA),synaptic element (Syn),neural cell adhesion molecule 56 (CD56),chromogranin A (CgA) and Calretinin (CR) combined with cell block section,classification again and comparative study both;Part cases of adenocarcinoma have made epidermal growth factor receptor (EGFR) mutation detection.Results Overall parting rate of conventional smear lung cancer histologic and parting rate of non-small cell carcinoma were significantly lower than that in parting rate basis on cell block combined with immunohistochemical stains (39.2% vs.88.3% ;29.7% vs.85.1%,x2 =60.359,72.098,P <0.01),EGFR mutation detection 94.7% (36/38) success.Conclusion Lung cancer cell biology sample should be conducted conventional smear,cell blocksection and combined with immunohistochemical staining,and then make histologic classification;Cell blockprovides a effective platform for cytopathology samples detection.%目的 探讨肺癌在细胞病理学样本组织学分类及分子学检测解决方案.方法 120例肺癌细胞学样本在常规涂片做出定性诊断并部分予以组织学分类后,结合细胞蜡块切片进行甲状腺转录因子-1(TTF-1)、p63、E-钙黏蛋白(E-cad)、细胞角蛋白(CK5/6)、上皮膜抗原(EMA)、突触素(Syn)、神经细胞黏附分子(CD56)、嗜铬素A(CgA)、视网膜钙蛋白(CR)等8项的免疫组织化学染色后再分类并对两者进行比较;部分腺癌病例进行表皮生长因子受体(EGFR)突变检测.结果 常规涂片肺癌组织学总体分型率及非小细胞癌的分

  1. Wavelet-based multiscale analysis of bioimpedance data measured by electric cell-substrate impedance sensing for classification of cancerous and normal cells

    Science.gov (United States)

    Das, Debanjan; Shiladitya, Kumar; Biswas, Karabi; Dutta, Pranab Kumar; Parekh, Aditya; Mandal, Mahitosh; Das, Soumen

    2015-12-01

    The paper presents a study to differentiate normal and cancerous cells using label-free bioimpedance signal measured by electric cell-substrate impedance sensing. The real-time-measured bioimpedance data of human breast cancer cells and human epithelial normal cells employs fluctuations of impedance value due to cellular micromotions resulting from dynamic structural rearrangement of membrane protrusions under nonagitated condition. Here, a wavelet-based multiscale quantitative analysis technique has been applied to analyze the fluctuations in bioimpedance. The study demonstrates a method to classify cancerous and normal cells from the signature of their impedance fluctuations. The fluctuations associated with cellular micromotion are quantified in terms of cellular energy, cellular power dissipation, and cellular moments. The cellular energy and power dissipation are found higher for cancerous cells associated with higher micromotions in cancer cells. The initial study suggests that proposed wavelet-based quantitative technique promises to be an effective method to analyze real-time bioimpedance signal for distinguishing cancer and normal cells.

  2. Research on the Gastric Cancer Clinical Medical Data Mining Research Based on SPRINT Classification Algorithm%基于SPRINT算法的胃癌临床医疗数据挖掘研究

    Institute of Scientific and Technical Information of China (English)

    郑丹青

    2012-01-01

    To supply the data mining demand,a decision-tree based model is proposed for gastric cancer clinical medical information analysis and application.The model is developed from the existing operational database or data warehouse,from which the factors related to gastric cancer recurrence are extracted to form a decision tree training data set.Using the SPRINT classification algorithm,the model is capable of analyzing the risk factors for gastric cancer recurrence.Based on the analysis of all the potential factors affecting clinical diagnosis,treatment and prognosis,the model confirmed that the primary risk factor for gastric cancer recurrence was hereditary.%为了满足数据挖掘的需要,本文提出了一个基于决策树的胃癌临床医疗信息分析应用研究模型.该模型是从业务数据库或数据仓库中抽取与胃癌术后复发因素有关的数据,形成决策树的训练数据集.运用SPRINT算法,构建胃癌术后复发的危险因素分析模型.通过对模型分析,寻找疾病的临床诊断、治疗和预后的关系,证实胃癌术后复发首要危险因素是家族遗传.

  3. Classification of the web

    DEFF Research Database (Denmark)

    Mai, Jens Erik

    2004-01-01

    This paper discusses the challenges faced by investigations into the classification of the Web and outlines inquiries that are needed to use principles for bibliographic classification to construct classifications of the Web. This paper suggests that the classification of the Web meets challenges...

  4. Is classification necessary after Google?

    OpenAIRE

    Hjørland, Birger

    2012-01-01

    Purpose – The purpose of this paper is to examine challenges facing bibliographic classification at both the practical and theoretical levels. At the practical level, libraries are increasingly dispensing with classifying books. At the theoretical level, many researchers, managers, and users believe that the activity of “classification” is not worth the effort, as search engines can be improved without the heavy cost of providing metadata. Design/methodology/approach – The basic issue in clas...

  5. WHO-EORTC classification for cutaneous lymphomas.

    Science.gov (United States)

    Willemze, Rein; Jaffe, Elaine S; Burg, Günter; Cerroni, Lorenzo; Berti, Emilio; Swerdlow, Steven H; Ralfkiaer, Elisabeth; Chimenti, Sergio; Diaz-Perez, José L; Duncan, Lyn M; Grange, Florent; Harris, Nancy Lee; Kempf, Werner; Kerl, Helmut; Kurrer, Michael; Knobler, Robert; Pimpinelli, Nicola; Sander, Christian; Santucci, Marco; Sterry, Wolfram; Vermeer, Maarten H; Wechsler, Janine; Whittaker, Sean; Meijer, Chris J L M

    2005-05-15

    Primary cutaneous lymphomas are currently classified by the European Organization for Research and Treatment of Cancer (EORTC) classification or the World Health Organization (WHO) classification, but both systems have shortcomings. In particular, differences in the classification of cutaneous T-cell lymphomas other than mycosis fungoides, Sezary syndrome, and the group of primary cutaneous CD30+ lymphoproliferative disorders and the classification and terminology of different types of cutaneous B-cell lymphomas have resulted in considerable debate and confusion. During recent consensus meetings representatives of both systems reached agreement on a new classification, which is now called the WHO-EORTC classification. In this paper we describe the characteristic features of the different primary cutaneous lymphomas and other hematologic neoplasms frequently presenting in the skin, and discuss differences with the previous classification schemes. In addition, the relative frequency and survival data of 1905 patients with primary cutaneous lymphomas derived from Dutch and Austrian registries for primary cutaneous lymphomas are presented to illustrate the clinical significance of this new classification.

  6. Preventing Breast Cancer: Making Progress

    Science.gov (United States)

    Skip Navigation Bar Home Current Issue Past Issues Preventing Breast Cancer: Making Progress Past Issues / Fall 2006 Table of ... inhibitor, can do an even better job of preventing breast cancer than the SERMs. Aromatase inhibitors stop an enzyme ...

  7. Children Procedures and Treatment (Fertility Issues)

    Medline Plus

    Full Text Available ... good support resources for parents, patients, and their families? What can a girl's cancer doctor do to ... the concerns of people with cancer and their families? What are the legal issues for young boys ...

  8. Emotional Issues

    Science.gov (United States)

    ... Home / Care for Duchenne / Emotional Issues Print Email Emotional Issues Duchenne’s emotional toll on a child can manifest in a ... important things you can provide to ensure the emotional health of your child. Parents of a child ...

  9. Application value of ultrasonic BI-RADS classification in breast cancer screening%超声BI-RADS分级在社区乳腺癌筛查中的价值

    Institute of Scientific and Technical Information of China (English)

    王竞宇; 张恩荣; 何莲; 文强; 彭利; 罗雪; 陈艳

    2013-01-01

    Objective To study the application value of ultrasonic Breast Imaging Reporting and Data System (BI-RADS) classification in breast cancer screening.Methods 8760 cases of breast cancer patients treated with BI-RADS classification were analyzed.Results Level 1 of 3 cases accounted for 0.19% (3/1588).Level 2 accounted for 42.82% (680/1588).Level 3 accounted for 47.10% (748/1588).Level 4 accounted for 8.31% (132/1588).Level 5 cases accounted for 1.57% (25/1588).Among them,111 cases were surgeries,71 cases were benign breast masses and 40 cases are malignant tumors.Conclusion Ultrasonic BI-RADS classification to screening for breast cancer in community not only improves the specificity of diagnosis,and but also increases the susceptibility to breast cancer of malignant tumors.%目的 探讨乳腺超声影像报告和数据系统(Breast Imaging Reporting and Data System,BI-RADS)在乳腺癌筛查中的应用价值.方法 对2011年1月1日~2013年4月30日在我院门诊、体检中心及社区作乳腺检查的1588例女性作了BI-RADS分级,并对其中111例经手术病理证实的患者结果与BI-RADS分级进行相关分析.结果 1588例女性中,BI-RADS分级:1级3例(0.19%);2级680例(42.82%);3级748例(47.10%);4级132例(8.31%);5级25例(1.57%).手术的111例患者中良性肿块71例,恶性肿块40例,与超声BI-RADS分级密切相关,尤其分级为4级、5级的患者,超声诊断与手术病理结果的符合率分别达到76%与96%.结论 超声BI-RADS分级在社区乳腺癌筛查中,不但能提高诊断的特异性,而且还可提高对乳腺恶性肿瘤诊断的敏感性,具有重要的推广应用价值.

  10. The correlation between calcification breast cancer of X-ray manifestations and its pathologic classification and grading%乳腺癌钙化的X线表现与病理学分型分级的相关性

    Institute of Scientific and Technical Information of China (English)

    张曦; 汪湍; 蔡斌; 李莉; 冯成堂; 文智

    2013-01-01

    目的 探讨乳腺癌钙化的X线表现与病理组织学分型分级的关系.方法 收集行数字化乳腺X线摄影检查,并经手术病理证实的166例乳腺癌,对病变钙化的形态、分布、数目以及钙化和肿块关系、钙化伴有情况与病理学分型分级之间的相关性进行分析.结果 导管原位癌:低级别成簇分布占71.4% (5/7);钙化合并肿块占57.1%(4/7);中级别钙化伴致密影占40.0% (2/5);高级别钙化数目>35个占77.8%(21/27).浸润性导管癌:Ⅰ级钙化数目>35个占50.0%(4/8);钙化伴致密影占37.5%(3/8); Ⅱ级钙化数目<15个占36.8%(28/76);钙化合并肿块占72.4% (55/76);钙化在肿块内占44.7%(34/76);Ⅲ级钙化成簇分布占75.0% (15/20).结论乳腺癌不同病理分型影像学表现各有不同,根据乳腺癌钙化X线表现对其进行分型分级研究,为指导临床提供帮助.%Objective To explore the correlation between calcification of breast cancer of X-ray manifestations and pathologic-his-tological classification and grading. Methods 166 cases of surgical pathologically confirmed breast cancer that were underwent digital breast radiography examination were enrolled in this study. The lesions' calcification form, distribution, number, the relationship between calcification and mass, as well as the correlation between calcification and pathology classification and grading. Results Duc-tal carcinoma in situ: low grade tumor with clustering calcification accounted for 71. 4% (5/7) ; calcification with mass accounted for 57. 1 % (4/7) ; middle grade tumor with calcification and high density accounted for 10. 0% (2/5) ; there were more than 35 calcification foci at high grade tumors (77. 8%, 21/27). Infiltrating ductal carcinoma: Ⅰ level calcification number more than 35 accounted for 50. 0% (4/8) ; calcification with high density accounted for 37.0% (3/8) ; Ⅱ level calcification number less than 15 accounted for 36. 8% (28/76); calcification with mass

  11. 乳腺癌新分子分型中的P53蛋白表达及临床评估%Expression of P53 protein in new molecular classification of breast cancer and clinical assessment

    Institute of Scientific and Technical Information of China (English)

    刘祖宏; 倪仰鹏; 黄绮国; 许文兵; 陈宋钦

    2013-01-01

    Objective: To investigate the expression of P53 protein in new molecular classification of breast cancer and clinical significance. Methods: Estrogen receptor (ER), progestrone receptor (PR), human epider mal receptor 2 (HER-2) , Ki-67 and P53 expression were performed by immunohistochemical staining in 92 surgi cal specimens of ductal breast carcinoma. The correlation between P53 expression and new molecular classification of breast cancer was analyzed. Results: P53 was negative in normal breast tissues while positive in 53. 3% cases of breast cancer (P <0. 05) ; The positive rate of P53 in HER-2 overexpression and triple-negative breast cancer was significantly higher than that those of Luminal A and B subtypes (P < 0. 05). Conclusion: Clinically, molecular classification of breast infiltrative ductal carcinoma via four items as ER, PR, HER-2, and ki-67 as well as detec tion of P53 are helpful for the assessment of tumor biological behavior and prognosis.%目的:探讨P53蛋白在乳腺浸润性导管癌新分子分型中表达及其临床意义.方法:采用免疫组织化学方法(二步法)检测92例乳腺癌组织中雌激素受体(ER)、孕激素受体(PR)、人表皮生长因子受体2 (HER-2)、Ki-67和P53蛋白的表达,并进行新的分子分型及与P53蛋白相关性分析.结果:乳腺浸润性导管癌P53蛋白阳性表达率为53.3%,正常乳腺组织表达为阴性,两者比较差异有统计学意义(P<0.05).HER-2过表达型和ER、PR、Ki-67三阴性型中P53蛋白阳性率明显高于Luminal A型、Luminal B1型、Luminal B2型,两者比较差异有统计学意义(P<0.05).此外,乳腺淋巴结转移与P53蛋白呈正相关(r2 =0.413,P<0.01).结论:临床在使用ER、PR、HER-2、Ki-67四种指标对乳腺浸润性导管癌进行分型时同时检测P53蛋白,有助于评估肿瘤的生物学行为及预后.

  12. Research progress on molecular classification and heterogeneity of triple-negative breast cancer%三阴性乳腺癌分子分型与异质性的研究进展

    Institute of Scientific and Technical Information of China (English)

    张敏(综述); 张瑾(审校)

    2016-01-01

    三阴性乳腺癌(triple-negative breast cancer,TNBC)是指ER、PR及HER-2均为阴性的乳腺癌,占乳腺癌15%~20%。随着基因组学的发展,乳腺癌的分型已不仅局限于基于免疫组织化学的传统分子分型,其中TNBC也被认为是一类异质性疾病,其异质性在分子水平、病理学以及临床特征上也各不相同。因此,对TNBC进一步行分子分型将为靶向治疗带来极大获益,但TNBC分子分型尚无被广泛认可的统一标准,现就最新相关研究做一综述。%Triple-negative breast cancer (TNBC) is defined by the lack of estrogen receptors (ERs) and progesterone receptors (PRs) and by the human epidermal growth factor receptor 2 (HER2)-negative status. TNBC accounts for 15%to 20%of breast cancer cases. Genomic profiling studies have demonstrated that breast cancer heterogeneity extends beyond the classic immunohistochemistry (IHC)-based divisions. TNBC is also a heterogeneous disease on the molecular level, as well as on the pathologic and clinical levels. Thus, the molecular subclassification of TNBC will be of considerable value to the development of targeted therapies. However, no widely recognized standard for the molecular classification of TNBC exists. This review provides a brief summary on the latest research on TNBC.

  13. A CAD System for Identification and Classification of Breast Cancer Tumors in DCE-MR Images Based on Hierarchical Convolutional Neural Networks

    Directory of Open Access Journals (Sweden)

    Reza Rastiboroujeni

    2015-06-01

    Full Text Available In this paper, we propose a computer aided diagnosis (CAD system based on hierarchical convolutional neural networks (HCNNs to discriminate between malignant and benign tumors in breast DCE-MRIs. A HCNN is a hierarchical neural network that operates on two-dimensional images. A HCNN integrates feature extraction and classification processes into one single and fully adaptive structure. It can extract two-dimensional key features automatically, and it is relatively tolerant to geometric and local distortions in input images. We evaluate CNN implementation learning and testing processes based on gradient descent (GD and resilient back-propagation (RPROP approaches. We show that, proposed HCNN with RPROP learning approach provide an effective and robust neural structure to design a CAD base system for breast MRI, and has potential as a mechanism for the evaluation of different types of abnormalities in medical images.

  14. 乳腺癌分子分型的研究进展%The research progress of molecular classification of breast cancer

    Institute of Scientific and Technical Information of China (English)

    康宇娟; 刘思; 宋健; 张东伟

    2016-01-01

    Breast cancer is a highly heterogeneous disease,according to the immunohistochemical estrogen receptor (ER),progesterone receptor (PR),its human epidermal growth factor receptor (Her-2) the expression level of breast cancer can be divided into Luminal A,Luminal B,Her-2 positive type,basal cell type (Basal homininslike) four main subtypes.With the development of the tumor clinical individual therapy and the in-depth study of breast cancer gene expression profile,its application is more and more widely in clinical.%乳腺癌是一种高度异质性疾病,根据免疫组化雌激素受体(ER)、孕激素受体(PR)、人类表皮生长因子受体-2(Her-2)的表达水平可以将乳腺癌分为Luminal A型、Luminal B型、Her-2阳性型、基底细胞样(Basal-like)型4个主要亚型.随着肿瘤临床个体化治疗的开展以及乳腺癌基因表达谱的深入研究,其在临床中的应用越来越广泛.

  15. The identification value of diffusion weighted imaging in different molecular subtypes for breast cancer classification%磁共振 DWI 对乳腺癌分子亚型的鉴别诊断应用价值

    Institute of Scientific and Technical Information of China (English)

    金观桥; 苏丹柯; 罗殿中; 赖少侣; 罗宁斌; 康巍; 黄向阳; 方献柳

    2015-01-01

    目的:探讨 MR 扩散加权成像(DWI)对乳腺癌不同分子亚型的鉴别诊断价值。方法乳腺癌患者依据 ER、Ki-67、PR、HER2的组化结果分成4种分子亚型,即 Luminal A、Luminal B、人类表皮生长因子受体2(HER2-OE)阳性和三阴型(triple nega-tive breast cancer,TNBC)。所有患者于乳腺癌手术/活检至少前2周进行 MR 检查,测定肿瘤最大横断面的 ADC 值(包括最大ADC 值、最小 ADC 值、平均 ADC 值)。采用单因素方差分析、LSD-t 进行统计学分析。结果72例乳腺癌中,Luninal A 亚型21例,Luminal B 亚型22例,HER2-OE 亚型17例,TNBC 亚型12例。4种亚型中,年龄、瘤灶大小均数的差异无统计学意义(P >0.05)。经 AVONA 统计,Luminal A,Luminal B,HER2-OE 和 TNBC 亚型的最大 ADC 值、平均 ADC 值以及最小 ADC 值的均数之间差异有统计学意义(P =0.025,0.039,0.041)。Luminal A,Luminal B,HER2-OE 和 TNBC 亚型的最大 ADC 值、平均 ADC 值以及最小 ADC 值的均数多重比较中,每一个均数两两比较差异不能同时均有统计学意义。结论手术或活检前,MR DWI 对乳腺癌不同分子亚型的鉴别诊断价值具有一定局限性。%Objective To investigate the value of diffusion weighted imaging (DWI)in identification of different molecular sub-types for breast cancer classifications.Methods All patients with breast cancer were divided into four subtypes groups by immuno-histochemistry results including Luminal A subtype,Luminal B subtype,HER2-over expressing (HER2-OE)subtype,and triple negative breast cancer (TNBC),respectively.The means of maximum,average,and minimum ADC of the lesions in all patients were recorded.The analysis of ANOVA and least significant difference test (LSD-t )were used for the statistical evaluation.Results There were significant differences in maximum ADC,average ADC,and minimum ADC among Luminal A subtype (n=21),Lu-minal B subtype (n=22),HER2-OE subtype (n=1 7)and TNBC subtype (n=12)groups (P

  16. Bagging Support Vector Machines for Leukemia Classification

    Directory of Open Access Journals (Sweden)

    Gokmen Zararsiz

    2012-11-01

    Full Text Available Leukemia is one of the most common cancer type, and its diagnosis and classification is becoming increasingly complex and important. Here, we used a gene expression dataset and adapted bagging support vector machines (bSVM for leukemia classification. bSVM trains each SVM seperately using bootstrap technique, then aggregates the performances of each SVM by majority voting. bSVM showed accuracy between 87.5% - 92.5%, area under ROC curve between 98.0% - 99.2%, F-measure between 90.5% - 92.7% and outperformed single SVM and other classification methods. We also compared our results with other study results which used the same dataset for leukemia classification. Experimental results revealed that bSVM showed the best performance and can be used as a biomarker for the diagnose of leukemia disease.

  17. The ISUP system of staging, grading and classification of renal cell neoplasia

    Directory of Open Access Journals (Sweden)

    Hemamali Samaratunga

    2014-07-01

    Full Text Available There have been significant changes in the staging, classification and grading of renal cell neoplasia in recent times. Major changes have occurred in our understanding of extra-renal extension by renal cell cancer and how gross specimens must be handled to optimally display extra-renal spread. Since the 1981 World Health Organization (WHO classification of renal tumors, in which only a handful of different entities were reported, many new morphological types have been described in the literature, resulting in 50 different entities reported in the 2004 WHO classification. Since 2004, further new entities have been recognized and reported necessitating an update of the renal tumor classification. There have also been numerous grading systems for renal cell carcinoma with Fuhrman grading, the most widely used system. In recent times, the prognostic value and the applicability of the Fuhrman grading system in practice has been shown to be, at best, suboptimal. To address these issues and to recommend reporting guidelines, the International Society of Urological Pathology (ISUP undertook a review of adult renal neoplasia through an international consensus conference in Vancouver in 2012. The conduct of the conference was based upon evidence from the literature and the current practice amongst recognized experts in the field. Working groups selected to deal with key topics evaluated current data and identified points of controversy. A pre-meeting survey of the ISUP membership was followed by the consensus conference at which a formal ballot was taken on each key issue. A 65% majority vote was taken as consensus. This review summarizes the outcome and recommendations of this conference with regards to staging, classification and grading of renal cell neoplasia.

  18. Hand eczema classification

    DEFF Research Database (Denmark)

    Diepgen, T L; Andersen, Klaus Ejner; Brandao, F M;

    2008-01-01

    of the disease is rarely evidence based, and a classification system for different subdiagnoses of hand eczema is not agreed upon. Randomized controlled trials investigating the treatment of hand eczema are called for. For this, as well as for clinical purposes, a generally accepted classification system...... A classification system for hand eczema is proposed. Conclusions It is suggested that this classification be used in clinical work and in clinical trials....

  19. No evident dose-response relationship between cellular ROS level and its cytotoxicity--a paradoxical issue in ROS-based cancer therapy.

    Science.gov (United States)

    Zhu, Chunpeng; Hu, Wei; Wu, Hao; Hu, Xun

    2014-01-01

    Targeting cancer via ROS-based mechanism has been proposed as a radical therapeutic approach. Cancer cells exhibit higher endogenous oxidative stress than normal cells and pharmacological ROS insults via either enhancing ROS production or inhibiting ROS-scavenging activity can selectively kill cancer cells. In this study, we randomly chose 4 cancer cell lines and primary colon or rectal cancer cells from 4 patients to test the hypothesis and obtained following paradoxical results: while piperlongumin (PL) and β-phenylethyl isothiocyanate (PEITC), 2 well-defined ROS-based anticancer agents, induced an increase of cellular ROS and killed effectively the tested cells, lactic acidosis (LA), a common tumor environmental factor that plays multifaceted roles in promoting cancer progression, induced a much higher ROS level in the tested cancer cells than PL and PEITC, but spared them; L-buthionine sulfoximine (L-BSO, 20 μM) depleted cellular GSH more effectively and increased higher ROS level than PL or PEITC but permitted progressive growth of the tested cancer cells. No evident dose-response relationship between cellular ROS level and cytotoxicity was observed. If ROS is the effecter, it should obey the fundamental therapeutic principle - the dose-response relationship. This is a major concern. PMID:24848642

  20. Classification of articulators.

    Science.gov (United States)

    Rihani, A

    1980-03-01

    A simple classification in familiar terms with definite, clear characteristics can be adopted. This classification system is based on the number of records used and the adjustments necessary for the articulator to accept these records. The classification divides the articulators into nonadjustable, semiadjustable, and fully adjustable articulators (Table I). PMID:6928204

  1. 乳腺癌分子分型与拓扑异构酶Ⅱα基因异常关系的研究%Correlation between breast cancer molecular classification and topoisomerase Ⅱ α gene anomaly

    Institute of Scientific and Technical Information of China (English)

    徐恩伟; 王跃华; 王晋芬

    2012-01-01

    Objective To study the correlation between breast cancer molecular classification and topoisomerase Ⅱα gene anomaly. Methods Immunohistochemistry assay was employed to detect estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor (Her-2) in 142 patients with breast cancer. HER2 gene expression was assayed via chromogenic in situ hybridization (CISH), and fluorescent in situ hybridization was applied to measure TOP2A gene amplification or deletion. Results Of 142 cases with breast cancer, Luminal A, Luminal B and Her-2 overexpression were observed in 53, 27 and 49 cases, respectively, while triple-negative expression was noted in 13 cases. Of all molecular classifications, TOP2A gene yielded a significant difference in the state of amplification (19 cases with and 123 without amplification, χ2=11.25, P<0.05), mostly in those with Her-2 and Luminal B overexpression. Conclusion Conventional immunohistochemistry assay followed by TOP2A gene detection should be conducted in patients with breast cancer who had Her-2 and Luminal B overexpression as a result of potential TOP2A amplification in those with Her-2 gene amplification.%目的 探讨乳腺癌分子分型与拓扑异构酶Ⅱα基因(TOP2A)扩增或缺失的关系.方法 采用免疫组织化学的方法,检测142例乳腺癌患者雌激素受体(ER)、孕激素受体(PR)及人类表皮生长因子受体2(Her2),同时采用显色原位杂交(CISH)检测Her-2基因情况,根据结果进行分子分型,应用荧光原位杂交(FISH)检测TOP2A基因扩增或缺失状况.结果 142例中,Luminal A型53例,Luminal B型27例,Her-2过表达型49例,三阴型13例.TOP2A基因扩增19例,未扩增123例.不同分子分型中TOP2A基因的扩增情况差异有统计学意义( x2=11.25,P<0.05),主要发生在Her-2型及Luminal B型.结论 TOP2A基因扩增主要存在于HER2基因扩增患者中,因此常规免疫组织化学检测之后,分子分型为Her-2型及Luminal B型

  2. Molecular classification of non-muscle-invasive bladder cancer (pTa low-grade, pT1 low-grade, and pT1 high-grade subgroups) using methylation of tumor-suppressor genes.

    Science.gov (United States)

    Sacristan, Raquel; Gonzalez, Carolina; Fernández-Gómez, Jesus M; Fresno, Florentino; Escaf, Safwan; Sánchez-Carbayo, Marta

    2014-09-01

    The role of epigenetics in distinguishing pathological and clinical subgroups in bladder cancer is not fully characterized. We evaluated whether methylation of tumor-suppressor genes (TSGs) would classify non-muscle-invasive (NMI) bladder cancer subgroups and predict outcome. A retrospective design included the following paraffin-embedded primary NMI tumor types (n = 251): pTa low grade (LG) (n = 79), pT1LG (n = 81), and pT1 high grade (HG) (n = 91). Methylation of 25 TSGs was measured using methylation-specific, multiplex, ligation-dependent probe amplification. The TSGs most frequently methylated in the overall series were STK11 (96.8%), MGMT2 (64.5%), RARB (63.0%), and GATA5 (63.0%). TSG methylation correlated to clinicopathological variables in each subgroup and in the overall NMI series. Methylation of RARB, CD44, PAX5A, GSTP1, IGSF4 (CADM1), PYCARD, CDH13, TP53, and GATA5 classified pTa versus pT1 tumors whereas RARB, CD44, GSTP1, IGSF4, CHFR, PYCARD, TP53, STK11, and GATA5 distinguished LG versus HG tumors. Multivariate analyses indicated that PAX5A, WT1, and BRCA1 methylation independently predicted recurrence in pTaLG, PAX6, ATM, CHFR, and RB1 in pT1LG disease; PYCARD, in pT1HG disease; and PAX5A and RB1, in the overall series. Methylation of TSGs provided a molecular classification of NMI disease according to clinicopathological factors. Furthermore, TSG methylation predicted recurrence in NMI subgroups. PMID:24998186

  3. CANCER

    Directory of Open Access Journals (Sweden)

    N. Kavoussi

    1973-09-01

    Full Text Available There are many carcinogenetic elements in industry and it is for this reason that study and research concerning the effect of these materials is carried out on a national and international level. The establishment and growth of cancer are affected by different factors in two main areas:-1 The nature of the human or animal including sex, age, point and method of entry, fat metabolism, place of agglomeration of carcinogenetic material, amount of material absorbed by the body and the immunity of the body.2 The different nature of the carcinogenetic material e.g. physical, chemical quality, degree of solvency in fat and purity of impurity of the element. As the development of cancer is dependent upon so many factors, it is extremely difficult to determine whether a causative element is principle or contributory. Some materials are not carcinogenetic when they are pure but become so when they combine with other elements. All of this creates an industrial health problem in that it is almost impossible to plan an adequate prevention and safety program. The body through its system of immunity protects itself against small amounts of carcinogens but when this amount increases and reaches a certain level the body is not longer able to defend itself. ILO advises an effective protection campaign against cancer based on the Well –equipped laboratories, Well-educated personnel, the establishment of industrial hygiene within factories, the regular control of safety systems, and the implementation of industrial health principles and research programs.

  4. 少数民族人权:权利分类与对应性保护%Minority Human Rights——the Corresponding Issues of Rights Classifications and Law Protections

    Institute of Scientific and Technical Information of China (English)

    李剑

    2012-01-01

    The legal protection of minority human rights should be based on detailed analysis of the rights system.The purpose of parsing is a way to achieve the legal protection corresponding to the type and property of the rights,and the spatial and temporal effect of the law should adapt to the demands of rights.According to a different classification criterion,the article divides the minority human rights with multiple meanings.Combined with the international legislative texts,we introduce the basic of legitimacy,the basic content and methods of protection of different rights.Finally,the paper analyzed the problems in the current national legislation and the process of rights protection,and then made a preliminary recommendations for system improvement.%少数民族民事习惯法治化既是中国法治建设的重要组成部分,也是地方法治建设的重要工程,关系着中国整体法治建设事业能否最终取得成功。因此,论文从立法和司法两个法治化的中心环节上对民事习惯的立法化、司法化路径进行了深入的探析,以期尽快实现少数民族民事习惯与国家民事法制的无缝对接与融合,加快民族地区国家统一法治建设进程。

  5. Classification, disease, and diagnosis.

    Science.gov (United States)

    Jutel, Annemarie

    2011-01-01

    Classification shapes medicine and guides its practice. Understanding classification must be part of the quest to better understand the social context and implications of diagnosis. Classifications are part of the human work that provides a foundation for the recognition and study of illness: deciding how the vast expanse of nature can be partitioned into meaningful chunks, stabilizing and structuring what is otherwise disordered. This article explores the aims of classification, their embodiment in medical diagnosis, and the historical traditions of medical classification. It provides a brief overview of the aims and principles of classification and their relevance to contemporary medicine. It also demonstrates how classifications operate as social framing devices that enable and disable communication, assert and refute authority, and are important items for sociological study.

  6. Palliative patients’ and significant others’ experiences of transitions concerning organizational, psychosocial and existential issues during the course of incurable cancer: A systematic review protocol

    DEFF Research Database (Denmark)

    Madsen, Rikke; Uhrenfeldt, Lisbeth

    2014-01-01

    ABSTRACT Review question/objective The objective of this review is to identify, appraise and synthesize the best available evidence exploring palliative patients’ or their significant others’ experiences of transitions during the course of incurable cancer. In this review, transitions are concept...... exploring euthanasia will be excluded because euthanasia is not included in the WHO definition of palliation. KEYWORDS Lived experience; incurable cancer; patient; significant other; transition; organizational; psychosocial; existential...

  7. Classification of current anticancer immunotherapies

    Science.gov (United States)

    Vacchelli, Erika; Pedro, José-Manuel Bravo-San; Buqué, Aitziber; Senovilla, Laura; Baracco, Elisa Elena; Bloy, Norma; Castoldi, Francesca; Abastado, Jean-Pierre; Agostinis, Patrizia; Apte, Ron N.; Aranda, Fernando; Ayyoub, Maha; Beckhove, Philipp; Blay, Jean-Yves; Bracci, Laura; Caignard, Anne; Castelli, Chiara; Cavallo, Federica; Celis, Estaban; Cerundolo, Vincenzo; Clayton, Aled; Colombo, Mario P.; Coussens, Lisa; Dhodapkar, Madhav V.; Eggermont, Alexander M.; Fearon, Douglas T.; Fridman, Wolf H.; Fučíková, Jitka; Gabrilovich, Dmitry I.; Galon, Jérôme; Garg, Abhishek; Ghiringhelli, François; Giaccone, Giuseppe; Gilboa, Eli; Gnjatic, Sacha; Hoos, Axel; Hosmalin, Anne; Jäger, Dirk; Kalinski, Pawel; Kärre, Klas; Kepp, Oliver; Kiessling, Rolf; Kirkwood, John M.; Klein, Eva; Knuth, Alexander; Lewis, Claire E.; Liblau, Roland; Lotze, Michael T.; Lugli, Enrico; Mach, Jean-Pierre; Mattei, Fabrizio; Mavilio, Domenico; Melero, Ignacio; Melief, Cornelis J.; Mittendorf, Elizabeth A.; Moretta, Lorenzo; Odunsi, Adekunke; Okada, Hideho; Palucka, Anna Karolina; Peter, Marcus E.; Pienta, Kenneth J.; Porgador, Angel; Prendergast, George C.; Rabinovich, Gabriel A.; Restifo, Nicholas P.; Rizvi, Naiyer; Sautès-Fridman, Catherine; Schreiber, Hans; Seliger, Barbara; Shiku, Hiroshi; Silva-Santos, Bruno; Smyth, Mark J.; Speiser, Daniel E.; Spisek, Radek; Srivastava, Pramod K.; Talmadge, James E.; Tartour, Eric; Van Der Burg, Sjoerd H.; Van Den Eynde, Benoît J.; Vile, Richard; Wagner, Hermann; Weber, Jeffrey S.; Whiteside, Theresa L.; Wolchok, Jedd D.; Zitvogel, Laurence; Zou, Weiping

    2014-01-01

    During the past decades, anticancer immunotherapy has evolved from a promising therapeutic option to a robust clinical reality. Many immunotherapeutic regimens are now approved by the US Food and Drug Administration and the European Medicines Agency for use in cancer patients, and many others are being investigated as standalone therapeutic interventions or combined with conventional treatments in clinical studies. Immunotherapies may be subdivided into “passive” and “active” based on their ability to engage the host immune system against cancer. Since the anticancer activity of most passive immunotherapeutics (including tumor-targeting monoclonal antibodies) also relies on the host immune system, this classification does not properly reflect the complexity of the drug-host-tumor interaction. Alternatively, anticancer immunotherapeutics can be classified according to their antigen specificity. While some immunotherapies specifically target one (or a few) defined tumor-associated antigen(s), others operate in a relatively non-specific manner and boost natural or therapy-elicited anticancer immune responses of unknown and often broad specificity. Here, we propose a critical, integrated classification of anticancer immunotherapies and discuss the clinical relevance of these approaches. PMID:25537519

  8. Nomenclature and classification of temporomandibular joint disorders

    NARCIS (Netherlands)

    Stegenga, B.

    2010-01-01

    P>Currently, there are basically two approaches to classification, one based on structural and one on positional changes occurring within the joint. Despite the increase in knowledge of pathologic changes occurring within the temporomandibular joint (TMJ), the disc still seems to be a central issue

  9. Aircraft Operations Classification System

    Science.gov (United States)

    Harlow, Charles; Zhu, Weihong

    2001-01-01

    Accurate data is important in the aviation planning process. In this project we consider systems for measuring aircraft activity at airports. This would include determining the type of aircraft such as jet, helicopter, single engine, and multiengine propeller. Some of the issues involved in deploying technologies for monitoring aircraft operations are cost, reliability, and accuracy. In addition, the system must be field portable and acceptable at airports. A comparison of technologies was conducted and it was decided that an aircraft monitoring system should be based upon acoustic technology. A multimedia relational database was established for the study. The information contained in the database consists of airport information, runway information, acoustic records, photographic records, a description of the event (takeoff, landing), aircraft type, and environmental information. We extracted features from the time signal and the frequency content of the signal. A multi-layer feed-forward neural network was chosen as the classifier. Training and testing results were obtained. We were able to obtain classification results of over 90 percent for training and testing for takeoff events.

  10. Recursive heuristic classification

    Science.gov (United States)

    Wilkins, David C.

    1994-01-01

    The author will describe a new problem-solving approach called recursive heuristic classification, whereby a subproblem of heuristic classification is itself formulated and solved by heuristic classification. This allows the construction of more knowledge-intensive classification programs in a way that yields a clean organization. Further, standard knowledge acquisition and learning techniques for heuristic classification can be used to create, refine, and maintain the knowledge base associated with the recursively called classification expert system. The method of recursive heuristic classification was used in the Minerva blackboard shell for heuristic classification. Minerva recursively calls itself every problem-solving cycle to solve the important blackboard scheduler task, which involves assigning a desirability rating to alternative problem-solving actions. Knowing these ratings is critical to the use of an expert system as a component of a critiquing or apprenticeship tutoring system. One innovation of this research is a method called dynamic heuristic classification, which allows selection among dynamically generated classification categories instead of requiring them to be prenumerated.

  11. Security classification of information

    Energy Technology Data Exchange (ETDEWEB)

    Quist, A.S.

    1993-04-01

    This document is the second of a planned four-volume work that comprehensively discusses the security classification of information. The main focus of Volume 2 is on the principles for classification of information. Included herein are descriptions of the two major types of information that governments classify for national security reasons (subjective and objective information), guidance to use when determining whether information under consideration for classification is controlled by the government (a necessary requirement for classification to be effective), information disclosure risks and benefits (the benefits and costs of classification), standards to use when balancing information disclosure risks and benefits, guidance for assigning classification levels (Top Secret, Secret, or Confidential) to classified information, guidance for determining how long information should be classified (classification duration), classification of associations of information, classification of compilations of information, and principles for declassifying and downgrading information. Rules or principles of certain areas of our legal system (e.g., trade secret law) are sometimes mentioned to .provide added support to some of those classification principles.

  12. Classification and valuation of postoperative complications after laparoscopic and open radical resection for colorectal cancer%开腹与腹腔镜结直肠癌根治术后并发症的分级与评估

    Institute of Scientific and Technical Information of China (English)

    季新威; 张建立; 孙振青; 王政坤; 邱志刚

    2012-01-01

    目的:探讨开腹手术与腹腔镜结直肠癌根治术后并发症的分级及评估.方法:2009年6月至2011年8月前瞻性地连续纳入158例腹腔镜结直肠癌根治术患者(腹腔镜组)及158例开腹结直肠癌根治术患者(开腹组),对比两组患者术后4周内并发症发生情况.分三步评价并发症的严重性.首先,将术后所有并发症根据Clavien分级进行分类.第二步,5位研究员分别独自应用直观叙述问卷模式对并发症的严重程度进行分级,0表示无术后并发症,100表示术后死亡.第三步,分别用中位数、最低及最高值对两组患者术后并发症进行评价.结果:开腹组术后并发症发生率显著高于腹腔镜组(23.4% vs.13.9%,P<0.05),术后并发症严重程度高于腹腔镜组.在敏感性比较中,中位数、最高值及最低值取得了类似结果.结论:开腹结直肠癌根治术术后并发症发生率显著高于腹腔镜手术,术后并发症严重程度亦高于腹腔镜手术.应用此分级评估法可对开腹与腹腔镜结直肠癌根治术术后并发症的发生做出直接评价.%Objective :To explore classification and valuation of postoperative complications afler laparoscopic and open radical resection for coloreclal cancer. Methods; From Jun. 2009 to Aug. 2011,316 patients with colorectal cancer were divided into two groups (laparoseopie versus open,both n - 158) prospectively and consecutively. The primary outeome was complications at four weeks,and they were compared between the two groups. A three-step methodology was used to assign severity weights to complications. Firstly,each complication was graded using the Clavien classification. Secondly,five reviewers were asked to independently and directly evaluate their perception of the severity of each class using a non-categorized visual analog scale. Zero represented an uneventful postoperative course, but 100 represented postoperative death. Thirdly, the median, lowest, and highest

  13. A critical evaluation of network and pathway based classifiers for outcome prediction in breast cancer

    CERN Document Server

    Staiger, C; Kooter, R; Dittrich, M; Mueller, T; Klau, G W; Wessels, L F A

    2011-01-01

    Recently, several classifiers that combine primary tumor data, like gene expression data, and secondary data sources, such as protein-protein interaction networks, have been proposed for predicting outcome in breast cancer. In these approaches, new composite features are typically constructed by aggregating the expression levels of several genes. The secondary data sources are employed to guide this aggregation. Although many studies claim that these approaches improve classification performance over single gene classifiers, the gain in performance is difficult to assess. This stems mainly from the fact that different breast cancer data sets and validation procedures are employed to assess the performance. Here we address these issues by employing a large cohort of six breast cancer data sets as benchmark set and by performing an unbiased evaluation of the classification accuracies of the different approaches. Contrary to previous claims, we find that composite feature classifiers do not outperform simple sin...

  14. Ontologies vs. Classification Systems

    DEFF Research Database (Denmark)

    Madsen, Bodil Nistrup; Erdman Thomsen, Hanne

    2009-01-01

    What is an ontology compared to a classification system? Is a taxonomy a kind of classification system or a kind of ontology? These are questions that we meet when working with people from industry and public authorities, who need methods and tools for concept clarification, for developing meta...... data sets or for obtaining advanced search facilities. In this paper we will present an attempt at answering these questions. We will give a presentation of various types of ontologies and briefly introduce terminological ontologies. Furthermore we will argue that classification systems, e.g. product...... classification systems and meta data taxonomies, should be based on ontologies....

  15. Classification of Itch.

    Science.gov (United States)

    Ständer, Sonja

    2016-01-01

    Chronic pruritus has diverse forms of presentation and can appear not only on normal skin [International Forum for the Study of Itch (IFSI) classification group II], but also in the company of dermatoses (IFSI classification group I). Scratching, a natural reflex, begins in response to itch. Enough damage can be done to the skin by scratching to cause changes in the primary clinical picture, often leading to a clinical picture predominated by the development of chronic scratch lesions (IFSI classification group III). An internationally recognized, standardized classification system was created by the IFSI to not only aid in clarifying terms and definitions, but also to harmonize the global nomenclature for itch. PMID:27578063

  16. 42 CFR 412.10 - Changes in the DRG classification system.

    Science.gov (United States)

    2010-10-01

    ... 42 Public Health 2 2010-10-01 2010-10-01 false Changes in the DRG classification system. 412.10... § 412.10 Changes in the DRG classification system. (a) General rule. CMS issues changes in the DRG classification system in a Federal Register notice at least annually. Except as specified in paragraphs (c)...

  17. Concepts of Classification and Taxonomy. Phylogenetic Classification

    CERN Document Server

    Fraix-Burnet, Didier

    2016-01-01

    Phylogenetic approaches to classification have been heavily developed in biology by bioinformaticians. But these techniques have applications in other fields, in particular in linguistics. Their main characteristics is to search for relationships between the objects or species in study, instead of grouping them by similarity. They are thus rather well suited for any kind of evolutionary objects. For nearly fifteen years, astrocladistics has explored the use of Maximum Parsimony (or cladistics) for astronomical objects like galaxies or globular clusters. In this lesson we will learn how it works. 1 Why phylogenetic tools in astrophysics? 1.1 History of classification The need for classifying living organisms is very ancient, and the first classification system can be dated back to the Greeks. The goal was very practical since it was intended to distinguish between eatable and toxic aliments, or kind and dangerous animals. Simple resemblance was used and has been used for centuries. Basically, until the XVIIIth...

  18. Post-surgical use of radioiodine (I-131) in patients with papillary and follicular thyroid cancer and the issue of remnant ablation : A consensus report

    NARCIS (Netherlands)

    Pacini, F; Schlumberger, M; Harmer, C; Berg, GG; Cohen, O; Duntas, L; Jamar, F; Jarzab, B; Limbert, E; Lind, P; Reiners, C; Franco, FS; Smit, J; Wiersinga, W

    2005-01-01

    Objective: To determine, based on published literature and expert clinical experience. current indications for the post-surgical administration of a large radioiodine activity in patients with differentiated thyroid cancer. Design and methods: A literature review was performed and was then analyzed

  19. Hydropedological insights when considering catchment classification

    Directory of Open Access Journals (Sweden)

    J. Bouma

    2011-06-01

    Full Text Available Soil classification systems are analysed to explore the potential of developing classification systems for catchments. Soil classifications are useful to create systematic order in the overwhelming quantity of different soils in the world and to extrapolate data available for a given soil type to soils elsewhere with identical classifications. This principle also applies to catchments. However, to be useful, soil classifications have to be based on permanent characteristics as formed by the soil forming factors over often very long periods of time. When defining permanent catchment characteristics, discharge data would therefore appear to be less suitable. But permanent soil characteristics do not necessarily match with characteristics and parameters needed for functional soil characterization focusing, for example, on catchment hydrology. Hydropedology has made contributions towards the required functional characterization of soils as is illustrated for three recent hydrological catchment studies. However, much still needs to be learned about the physical behaviour of anisotropic, heterogeneous soils with varying soil structures during the year and about spatial and temporal variability. The suggestion is made therefore to first focus on improving simulation of catchment hydrology, possibly incorporating hydropedological expertise, before embarking on a catchment classification effort which involves major input of time and involves the risk of distraction. In doing so, we suggest to also define other characteristics for catchment performance than the traditionally measured discharge rates. Such characteristics may well be derived from societal issues being studied, as is illustrated for the Green Water Credits program.

  20. Bond Issues.

    Science.gov (United States)

    Pollack, Rachel H.

    2000-01-01

    Notes trends toward increased borrowing by colleges and universities and offers guidelines for institutions that are considering issuing bonds to raise money for capital projects. Discussion covers advantages of using bond financing, how use of bonds impacts on traditional fund raising, other cautions and concerns, and some troubling aspects of…

  1. Prostate Cancer

    Directory of Open Access Journals (Sweden)

    Scott Eggener

    2011-01-01

    Full Text Available Prostate cancer continues to be a significant public health issue worldwide, particularly in countries where men have life expectancies long enough to clinically manifest the disease. In many countries, it remains one of the leading causes of cancer-related morbidity and mortality.

  2. Classification and Regression Tree Analysis of Clinical Patterns that Predict Survival in 127 Chinese Patients with Advanced Non-small Cell Lung Cancer Treated by Gefitinib Who Failed to Previous Chemotherapy

    Directory of Open Access Journals (Sweden)

    Ziping WANG

    2011-09-01

    Full Text Available Background and objective It has been proven that gefitinib produces only 10%-20% tumor regression in heavily pretreated, unselected non-small cell lung cancer (NSCLC patients as the second- and third-line setting. Asian, female, nonsmokers and adenocarcinoma are favorable factors; however, it is difficult to find a patient satisfying all the above clinical characteristics. The aim of this study is to identify novel predicting factors, and to explore the interactions between clinical variables and their impact on the survival of Chinese patients with advanced NSCLC who were heavily treated with gefitinib in the second- or third-line setting. Methods The clinical and follow-up data of 127 advanced NSCLC patients referred to the Cancer Hospital & Institute, Chinese Academy of Medical Sciences from March 2005 to March 2010 were analyzed. Multivariate analysis of progression-free survival (PFS was performed using recursive partitioning, which is referred to as the classification and regression tree (CART analysis. Results The median PFS of 127 eligible consecutive advanced NSCLC patients was 8.0 months (95%CI: 5.8-10.2. CART was performed with an initial split on first-line chemotherapy outcomes and a second split on patients’ age. Three terminal subgroups were formed. The median PFS of the three subsets ranged from 1.0 month (95%CI: 0.8-1.2 for those with progressive disease outcome after the first-line chemotherapy subgroup, 10 months (95%CI: 7.0-13.0 in patients with a partial response or stable disease in first-line chemotherapy and age <70, and 22.0 months for patients obtaining a partial response or stable disease in first-line chemotherapy at age 70-81 (95%CI: 3.8-40.1. Conclusion Partial response, stable disease in first-line chemotherapy and age ≥ 70 are closely correlated with long-term survival treated by gefitinib as a second- or third-line setting in advanced NSCLC. CART can be used to identify previously unappreciated patient

  3. Sports Type Classification using Signature Heatmaps

    DEFF Research Database (Denmark)

    Gade, Rikke; Moeslund, Thomas B.

    2013-01-01

    Automatic classification of activities in a sports arena is important in order to analyse and optimise the use of the arenas. In this work we classify five sports types based only on occupancy heatmaps produced from position data. Due to privacy issues we use thermal imaging for detecting people...... and then calculate their positions on the court us- ing homography. Heatmaps are produced by summarising Gaussian distributions respresenting people over 10-minute periods. Before classification the heatmaps are projected to a low-dimensional discriminative space using the principle of Fisherfaces. Our result using...

  4. Library Classification 2020

    Science.gov (United States)

    Harris, Christopher

    2013-01-01

    In this article the author explores how a new library classification system might be designed using some aspects of the Dewey Decimal Classification (DDC) and ideas from other systems to create something that works for school libraries in the year 2020. By examining what works well with the Dewey Decimal System, what features should be carried…

  5. Musings on galaxy classification

    International Nuclear Information System (INIS)

    Classification schemes and their utility are discussed with a number of examples, particularly for cD galaxies. Data suggest that primordial turbulence rather than tidal torques is responsible for most of the presently observed angular momentum of galaxies. Finally, some of the limitations on present-day schemes for galaxy classification are pointed out. 54 references, 4 figures, 3 tables

  6. 'I've used the word cancer but it's actually good news': discursive performativity of cancer and the identity of urological cancer services.

    Science.gov (United States)

    Kazimierczak, Karolina Agata; Skea, Zoe

    2015-03-01

    Drawing on the ethnographic study of urological cancer services, this article explores how a set of particular discourses embedded in the everyday clinical work in a large teaching hospital in the UK helps materialise particular configurations of cancer and related professional identities. Emerging on the intersection of specific socio-material arrangements (cancer survival rates, treatment regimens, cancer staging classifications, metaphors, clinical specialities) and operating across a number of differential relations (curable/incurable, treatable/untreatable, aggressive/nonaggressive), these configurations help constitute the categories of 'good' and 'bad' cancers as separate and contrasting entities. These categories help materialise particular distributions of power and are thus implicated in the making of specific claims about the identity of urological cancer services as unique and privileged. Exploring these issues in view of feminist and material-semiotic approaches to studying science, technology and medicine, this article seeks to move away from the understanding of cancer discourses as primarily linguistic performances, proposing to see them instead as arrangements of practices and relations simultaneously material and semiotic through which particular categories, entities and phenomena acquire their determinate nature. In doing so, it seeks to contribute to sociology's broader concern with discursive performativity of cancer. PMID:25847531

  7. Classification of Murine Pulmonary Tumors —

    Science.gov (United States)

    This WEB site contains a digital atlas of virtual histological slides with representative mouse and human pulmonary proliferative lesions. It complements the paper "Classification of Proliferative Pulmonary Lesions of the Mouse: Recommendations of the Mouse Models of Human Cancers Consortium" by Alexander Yu. Nikitin, Ana Alcaraz, Miriam R. Anver, Roderick T. Bronson, Robert D. Cardiff, Darlene Dixon, Armando E. Fraire, Edward W. Gabrielson, William T. Gunning, Diana C. Haines, Matthew H. Kaufman, R. Ilona Linnoila, Robert R. Maronpot, Alan S. Rabson, Robert L. Reddick, Sabine Rehm, Nora Rozengurt, Hildegard M. Schuller, Elena N. Shmidt, William D. Travis, Jerrold M. Ward and Tyler Jacks published in Cancer Research 64: 2307-2316, 2004

  8. Theoretical Issues

    Energy Technology Data Exchange (ETDEWEB)

    Marc Vanderhaeghen

    2007-04-01

    The theoretical issues in the interpretation of the precision measurements of the nucleon-to-Delta transition by means of electromagnetic probes are highlighted. The results of these measurements are confronted with the state-of-the-art calculations based on chiral effective-field theories (EFT), lattice QCD, large-Nc relations, perturbative QCD, and QCD-inspired models. The link of the nucleon-to-Delta form factors to generalized parton distributions (GPDs) is also discussed.

  9. Miscellaneous issues

    International Nuclear Information System (INIS)

    The New Brunswick Market Design Committee has examined several issues regarding the restructuring of the province's electricity sector. This report presents issues that require guidance for implementation, with particular focus on options available for their resolutions. The issues include: (1) rate principles for stranded offer service (SOS) supply, (2) the ability of contestable customers to return to SOS after having left it, (3) whether loads embedded in distribution systems are eligible to participate in the bilateral contract market, (4) whether generators or suppliers can offer capacity and energy to SOS suppliers in competition with the SOS supplier, and (5) details for the balancing market, including pricing, bidding protocols, settlements and how intermittent power sources can participate in the market. A section on pricing for SOS explains pricing principles, the use of export profits, pricing for SOS capacity, and time of use pricing. The Committee has made recommendations for the electricity system in the province to have an energy imbalance service that can move towards a market in order to develop an efficient and effective service. This report also explains pricing in the balancing market, penalties, and settlements. 7 refs

  10. Information Classification on University Websites

    DEFF Research Database (Denmark)

    Nawaz, Ather; Clemmensen, Torkil; Hertzum, Morten

    2011-01-01

    classification of 14 Danish and 14 Pakistani students and compares it with the information classification of their university website. Brainstorming, card sorting and task exploration activities were used to discover similarities and differences in the participating students’ classification of website...

  11. Information Classification on University Websites

    DEFF Research Database (Denmark)

    Nawaz, Ather; Clemmensen, Torkil; Hertzum, Morten

    2011-01-01

    classification of 14 Danish and 14 Pakistani students and compares it with the information classification of their university website. Brainstorming, card sorting, and task exploration activities were used to discover similarities and differences in the participating students’ classification of website...

  12. Cancer and environment - collective expertise

    International Nuclear Information System (INIS)

    This document reports the work of two groups of experts on the impact of the environment on some cancers the incidence of which has increased during the past twenty years. After a first part discussing the general mechanisms of toxicity, the report discusses various aspects (notably classification, incidence and evolution, mortality, known and debated risk factors) for different cancer types: lung cancer, mesothelioma, malignant hemopathies, brain tumours, breast cancer, ovarian cancer, testicular cancer, prostate cancer, thyroid cancer. It also discusses knowledge on the exposure to chemical and physical agents (assessment modalities and exposure data in general environment and in professional environment, exposure to ionizing radiation, to electromagnetic fields and to endocrine disrupters)

  13. Rastreamento do câncer de mama: aspectos relacionados ao médico Breast cancer screening: physicians related issues.

    Directory of Open Access Journals (Sweden)

    Eduardo Rodrigues Godinho

    2004-04-01

    Full Text Available OBJETIVO: Reconhecer as características dos médicos do Estado de Goiás, suas condutas, crenças, opiniões e conhecimentos sobre câncer de mama. MATERIAIS E MÉTODOS: Foram enviados 592 questionários aos ginecologistas, mastologistas e geriatras de Goiás. Os principais aspectos pesquisados foram: 1 - características sócio-demográficas (sexo, idade, ano de formatura, atuação em serviços públicos ou particulares; 2 - capacidade de reconhecimento dos fatores de risco para câncer de mama; 3 - atividades educativas desenvolvidas pelos médicos; 4 - percepção de elementos limitadores ao rastreamento; 5 - perguntas genéricas. RESULTADOS: Os questionários respondidos totalizaram 105 (21,2%; 70,5% dos médicos eram do sexo masculino; idade média de 43,9 anos (26 a 70 anos; 73,5% tinham menos de 20 anos de formado; 88,6% ginecologistas, 4,8% ginecologistas/mastologistas, 3,8% mastologistas, 2,8% geriatras; 62,5% atuavam na rede pública e particular simultaneamente. Apenas 13,3% identificaram os cinco fatores de risco apresentados. Cerca de 95% responderam ter participado de cursos de atualização nos dois anos que antecederam a pesquisa. Outros resultados serão apresentados. CONCLUSÕES: As recomendações sobre rastreamento do câncer de mama pareceram pouco claras aos médicos. As respostas sobre atividades educativas mostraram-se algumas vezes conflitantes. As crenças e opiniões sobre rastreamento foram bastante positivas. Escassez de equipamentos e custo do exame foram identificados como obstáculos ao rastreamento do câncer de mama.OBJECTIVE: To identify the characteristics of physicians in the State of Goiás, Brazil, regarding patient management, beliefs, opinions and knowledge about breast cancer. MATERIALS END METHODS: A total of 592 questionnaires were mailed to gynecologists, mastologists and geriatricians. The survey covered the following main aspects: 1 - socio-demographic characteristics (sex, age, year of graduation

  14. Cluster Based Text Classification Model

    DEFF Research Database (Denmark)

    Nizamani, Sarwat; Memon, Nasrullah; Wiil, Uffe Kock

    2011-01-01

    We propose a cluster based classification model for suspicious email detection and other text classification tasks. The text classification tasks comprise many training examples that require a complex classification model. Using clusters for classification makes the model simpler and increases......, the classifier is trained on each cluster having reduced dimensionality and less number of examples. The experimental results show that the proposed model outperforms the existing classification models for the task of suspicious email detection and topic categorization on the Reuters-21578 and 20 Newsgroups...... datasets. Our model also outperforms A Decision Cluster Classification (ADCC) and the Decision Cluster Forest Classification (DCFC) models on the Reuters-21578 dataset....

  15. Global change and climate-vegetation classification

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    Three phrases of the quantitative study of climate-vegetation classification and their characteristics are presented based on the review of advance in climate-vegetation interaction, a key issue of "global change and terrestrial ecosystems (GCTE)" which is the core project of International Geosphere-Biosphere Programme (IGBP): (ⅰ) characterized by the correlation between natural vegetation types and climate; (ⅱ) characterized by climatic indices which have obviously been restricted to plant ecophysiology; (ⅲ) characterized by coupling both structure and function of vegetation. Thus, the prospective of climate-vegetation classification for global change study in China was proposed, especially the study coupling climate-vegetation classification models with atmospheric general circulation models (GCMs) was emphasized.

  16. The International Classification for Nursing Practice (ICNP)

    DEFF Research Database (Denmark)

    Mortensen, Randi A.; Nielsen, Gunnar Haase

    2001-01-01

    This publication deals with the general field of health informatics and some issues particular to nursing. It starts with an introduction to health care, discussing the ‘classification and management in nursing information technology’ and the ‘nursing minimum data set’, health concepts......, an introduction to nursing science and the International Classification for Nursing Practice (ICNP). The textbook continues with an information technology aspects’ section. in this section important aspects of health informatics and hospital information systems are discussed, like data protection...... and confidentiality, telecare service for nurses, data analysis methods and classification methods. The last section of this book deals with the organizational impact of health informatics. Major topics are: impacts of communications, information and technology on organizations, impact in nursing environment, quality...

  17. 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 ...

  18. General Issue

    OpenAIRE

    2014-01-01

    ORDERING INFORMATION The issue can be ordered by contacting at the Presses Universitaires d'Angers. It will be online in Spring 2015. CONTENTS Linda Collinge-Germain Foreword Mathilde La Cassagnère Heavy nothings in Virginia Woolf’s “Kew Gardens" Daniel Thomières Being and Time in Ernest Hemingway’s “Cat in the Rain” Stella Deen E.H. Young’s “The Stream,” Good Housekeeping, and the Cultivation of Active Readers Alice Clark-Wehinger The p...

  19. Classification of hand eczema

    DEFF Research Database (Denmark)

    Agner, T; Aalto-Korte, K; Andersen, K E;

    2015-01-01

    BACKGROUND: Classification of hand eczema (HE) is mandatory in epidemiological and clinical studies, and also important in clinical work. OBJECTIVES: The aim was to test a recently proposed classification system of HE in clinical practice in a prospective multicentre study. METHODS: Patients were......%) could not be classified. 38% had one additional diagnosis and 26% had two or more additional diagnoses. Eczema on feet was found in 30% of the patients, statistically significantly more frequently associated with hyperkeratotic and vesicular endogenous eczema. CONCLUSION: We find that the classification...

  20. Pitch Based Sound Classification

    OpenAIRE

    Nielsen, Andreas Brinch; Hansen, Lars Kai; Kjems, U.

    2006-01-01

    A sound classification model is presented that can classify signals into music, noise and speech. The model extracts the pitch of the signal using the harmonic product spectrum. Based on the pitch estimate and a pitch error measure, features are created and used in a probabilistic model with soft-max output function. Both linear and quadratic inputs are used. The model is trained on 2 hours of sound and tested on publicly available data. A test classification error below 0.05 with 1 s classif...

  1. Preface to the Inaugural Issue

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    This is the first issue of the English edition for the Chinese Jotn'nal of Clinical Oncology, an official journal of the Chinese Anti-Cancer Association (CACA). As the editor-in-chief, I would like to express my appreciation to all the editors and editorial staff who have made tremendous effort in giving birth to this new journal. I would also

  2. 2011 New lung adenocarcinoma multidisciplinary classification: imaging aspects

    International Nuclear Information System (INIS)

    The new classification of lung adenocarcinoma has been proposed by International Association for the Study of Lung Cancer/American Thoracic Society/European Respiratory Society in 2011. This new classification proposes a series of new concepts, such as lung adenocarcinoma in situ replacing the old term bronchioloalveolar carcinoma, minimally invasive adenocarcinoma and subtypes of invasive adenocarcinoma. This paper reviews the major advances of this new classification and its effect on imaging evaluation of lung adenocarcinoma and CT appearances of various subtypes of lung adenocarcinoma. (authors)

  3. 78 FR 54970 - Cotton Futures Classification: Optional Classification Procedure

    Science.gov (United States)

    2013-09-09

    ... process in March 2012 (77 FR 5379). When verified by a futures classification, Smith-Doxey data serves as... Classification: Optional Classification Procedure AGENCY: Agricultural Marketing Service, USDA. ACTION: Proposed... for the addition of an optional cotton futures classification procedure--identified and known...

  4. Compensatory neurofuzzy model for discrete data classification in biomedical

    Science.gov (United States)

    Ceylan, Rahime

    2015-03-01

    Biomedical data is separated to two main sections: signals and discrete data. So, studies in this area are about biomedical signal classification or biomedical discrete data classification. There are artificial intelligence models which are relevant to classification of ECG, EMG or EEG signals. In same way, in literature, many models exist for classification of discrete data taken as value of samples which can be results of blood analysis or biopsy in medical process. Each algorithm could not achieve high accuracy rate on classification of signal and discrete data. In this study, compensatory neurofuzzy network model is presented for classification of discrete data in biomedical pattern recognition area. The compensatory neurofuzzy network has a hybrid and binary classifier. In this system, the parameters of fuzzy systems are updated by backpropagation algorithm. The realized classifier model is conducted to two benchmark datasets (Wisconsin Breast Cancer dataset and Pima Indian Diabetes dataset). Experimental studies show that compensatory neurofuzzy network model achieved 96.11% accuracy rate in classification of breast cancer dataset and 69.08% accuracy rate was obtained in experiments made on diabetes dataset with only 10 iterations.

  5. To treat or not to treat with testosterone replacement therapy: a contemporary review of management of late-onset hypogonadism and critical issues related to prostate cancer.

    Science.gov (United States)

    Kava, Bruce R

    2014-07-01

    Over the last 10 years there has been a dramatic increase in the number of patients identified and treated with testosterone replacement therapy (TRT) for late-onset hypogonadism (LOH). By virtue of age, race, and family history, many of these patients are concurrently at risk for harboring indolent prostate cancer. Other men are at increased risk for prostate cancer as a result of an elevated serum PSA level or having had a prior prostate biopsy showing prostatic intraepithelial neoplasia (PIN) or atypical small acinar proliferation (ASAP). The clinician is often challenged with the decision whether to initiate TRT in these patients. This review presents a contemporary overview of the rationale for TRT, as well as the relationship between testosterone (endogenous and exogenous) and premalignant and malignant lesions of the prostate. We will discuss preliminary data from several recent series demonstrating that TRT may be safely administered in select patients with certain premalignant and bona fide malignant tumors of the prostate. In the absence of a large randomized clinical trial with long-term outcome data evaluating TRT, we hope that this overview will provide clinicians with an evidence-based approach to managing these anxiety-provoking - and often frustrating - clinical scenarios.

  6. Evaluating emerging issues in epidemiology.

    Science.gov (United States)

    Collins, James J; Bukowski, John A; Weed, Douglas L; Brent, Robert L; Klein, Patti; Boerstoel-Streefland, Mariette; Sprafka, J Michael; Williams, Amy Lavin; Holsapple, Michael P

    2007-08-01

    Industry and government institutions need a credible approach for evaluating and responding to emerging public health issues. Representatives of industry, government, and academia met under the auspices of the International Life Sciences Institute's Health and Environmental Sciences Institute (HESI) to develop successful strategies for dealing with emerging issues based on historical case studies. The case studies chosen for evaluation were (1) tampon use and toxic shock syndrome; (2) hazardous waste and childhood cancer risk in Toms River, New Jersey; (3) fenfluramine and phentermine use and valvular heart disease; (4) silicone breast implants and cancer and auto-immune disease; and (5) progestational drugs and birth defects. We identified eight lessons from these case studies. Foremost, we recommend that public and private institutions not defer action until an issue is scientifically resolved and stress that cooperation among issue stakeholders is critical for effective issue resolution. We suggest establishing a research program as an effective way to assure that good science is included in resolution of the issue. We further recommend frequent and timely communication with all stakeholders, and the development of research approaches to fill gaps when the scientific data on an issue are limited. PMID:17543434

  7. Pitch Based Sound Classification

    DEFF Research Database (Denmark)

    Nielsen, Andreas Brinch; Hansen, Lars Kai; Kjems, U

    2006-01-01

    A sound classification model is presented that can classify signals into music, noise and speech. The model extracts the pitch of the signal using the harmonic product spectrum. Based on the pitch estimate and a pitch error measure, features are created and used in a probabilistic model with soft......-max output function. Both linear and quadratic inputs are used. The model is trained on 2 hours of sound and tested on publicly available data. A test classification error below 0.05 with 1 s classification windows is achieved. Further more it is shown that linear input performs as well as a quadratic......, and that even though classification gets marginally better, not much is achieved by increasing the window size beyond 1 s....

  8. Classification in Medical Imaging

    DEFF Research Database (Denmark)

    Chen, Chen

    Classification is extensively used in the context of medical image analysis for the purpose of diagnosis or prognosis. In order to classify image content correctly, one needs to extract efficient features with discriminative properties and build classifiers based on these features. In addition......, a good metric is required to measure distance or similarity between feature points so that the classification becomes feasible. Furthermore, in order to build a successful classifier, one needs to deeply understand how classifiers work. This thesis focuses on these three aspects of classification...... and explores these challenging areas. The first focus of the thesis is to properly combine different local feature experts and prior information to design an effective classifier. The preliminary classification results, provided by the experts, are fused in order to develop an automatic segmentation method...

  9. Learning Apache Mahout classification

    CERN Document Server

    Gupta, Ashish

    2015-01-01

    If you are a data scientist who has some experience with the Hadoop ecosystem and machine learning methods and want to try out classification on large datasets using Mahout, this book is ideal for you. Knowledge of Java is essential.

  10. Risk of prostate cancer among cancer survivors in the Netherlands

    NARCIS (Netherlands)

    Kok, D.E.; Schans, S.A. van de; Liu, L.; Kampman, E.; Coebergh, J.W.W.; Kiemeney, L.A.L.M.; Soerjomataram, I.; Aben, K.K.H.

    2013-01-01

    BACKGROUND: In parallel with increasing numbers of cancer patients and improving cancer survival, the occurrence of second primary cancers becomes a relevant issue. The aim of our study was to evaluate risk of prostate cancer as second primary cancer in a population-based setting. METHODS: Data from

  11. Risk of prostate cancer among cancer survivors in the Netherlands

    NARCIS (Netherlands)

    Kok, D.E.G.; Schans, van de S.A.; Liu, L.; Kampman, E.; Coebergh, J.W.; Kiemeney, L.A.; Soerjomataram, I.; Aben, K.K.

    2013-01-01

    In parallel with increasing numbers of cancer patients and improving cancer survival, the occurrence of second primary cancers becomes a relevant issue. The aim of our study was to evaluate risk of prostate cancer as second primary cancer in a population-based setting. Methods Data from the Netherla

  12. Latent classification models

    DEFF Research Database (Denmark)

    Langseth, Helge; Nielsen, Thomas Dyhre

    2005-01-01

    parametric family ofdistributions.  In this paper we propose a new set of models forclassification in continuous domains, termed latent classificationmodels. The latent classification model can roughly be seen ascombining the \\NB model with a mixture of factor analyzers,thereby relaxing the assumptions...... classification model, and wedemonstrate empirically that the accuracy of the proposed model issignificantly higher than the accuracy of other probabilisticclassifiers....

  13. Classification of Sleep Disorders

    OpenAIRE

    Michael J. Thorpy

    2012-01-01

    The classification of sleep disorders is necessary to discriminate between disorders and to facilitate an understanding of symptoms, etiology, and pathophysiology that allows for appropriate treatment. The earliest classification systems, largely organized according to major symptoms (insomnia, excessive sleepiness, and abnormal events that occur during sleep), were unable to be based on pathophysiology because the cause of most sleep disorders was unknown. These 3 symptom-based categories ar...

  14. Inhibition in multiclass classification

    OpenAIRE

    Huerta, Ramón; Vembu, Shankar; Amigó, José M.; Nowotny, Thomas; Elkan, Charles

    2012-01-01

    The role of inhibition is investigated in a multiclass support vector machine formalism inspired by the brain structure of insects. The so-called mushroom bodies have a set of output neurons, or classification functions, that compete with each other to encode a particular input. Strongly active output neurons depress or inhibit the remaining outputs without knowing which is correct or incorrect. Accordingly, we propose to use a classification function that embodies unselective inhibition and ...

  15. Classification of Dams

    OpenAIRE

    Berg, Johan; Linder, Maria

    2013-01-01

    In a comparing survey this thesis investigates classification systems for dams in Sweden, Norway, Finland, Switzerland, Canada and USA. The investigation is aiming at an understanding of how potential consequences of a dam failure are taken into account when classifying dams. Furthermore, the significance of the classification, regarding the requirements on the dam owner and surveillance authorities concerning dam safety is considered and reviewed. The thesis is pointing out similarities and ...

  16. Lymph Node Metastases and Prognosis in Penile Cancer

    Institute of Scientific and Technical Information of China (English)

    Yao Zhu; Ding-wei Ye

    2012-01-01

    Lymph node status is a key prognostic factor in penile squamous cell carcinoma.Recently,growing evidence indicates a multimodality approach consisting of neoadjuvant chemotherapy followed by consolidation surgery improves the outcome of locally advanced penile cancer.Thus,accurate estimation of survival probability in node-positive penile cancer is critical for treatment decision making,counseling of patients and follow-up scheduling.This article reviewed evolving developments in assessing the risk for cancer progression based on lymph node related variables,such as the number of metastatic lymph nodes,bilateral lymph node metastases,the ratio of positive lymph nodes,extracapsular extension of metastatic lymph nodes,pelvic lymph node metastases,metastatic deposit in sentinel lymph nodes and N stage in TNM classification.Controversial issues surrounding the prognostic value of these nodal related predictors were also discussed.

  17. Sentiment Classification of Social Issues Using Contextual Valence Shifters

    OpenAIRE

    Prakash Kumar Singh; Shailendra Kumar Singh; Dr. Sanchita Paul

    2015-01-01

    The growth of science and technology contributes in the growth of social website and electronic media at vast scale. Due to development in field of information technology, all information about anything is globally available on internet, which is great source of data and information. Data or data sets available on internet in unstructured form. To analysis the unstructured data, we need method which convert it into structured data then analyze those data. NLP, Linguistic Computation and text ...

  18. A New Classification Approach Based on Multiple Classification Rules

    OpenAIRE

    Zhongmei Zhou

    2014-01-01

    A good classifier can correctly predict new data for which the class label is unknown, so it is important to construct a high accuracy classifier. Hence, classification techniques are much useful in ubiquitous computing. Associative classification achieves higher classification accuracy than some traditional rule-based classification approaches. However, the approach also has two major deficiencies. First, it generates a very large number of association classification rules, especially when t...

  19. Hierarchical classification of social groups

    OpenAIRE

    Витковская, Мария

    2001-01-01

    Classification problems are important for every science, and for sociology as well. Social phenomena, examined from the aspect of classification of social groups, can be examined deeper. At present one common classification of groups does not exist. This article offers the hierarchical classification of social group.

  20. Myths and legends in learning classification rules

    Science.gov (United States)

    Buntine, Wray

    1990-01-01

    This paper is a discussion of machine learning theory on empirically learning classification rules. The paper proposes six myths in the machine learning community that address issues of bias, learning as search, computational learning theory, Occam's razor, 'universal' learning algorithms, and interactive learnings. Some of the problems raised are also addressed from a Bayesian perspective. The paper concludes by suggesting questions that machine learning researchers should be addressing both theoretically and experimentally.

  1. 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.

  2. Geographical classification of wine and olive oil by means of classification and influence matrix analysis (CAIMAN).

    Science.gov (United States)

    Ballabio, Davide; Mauri, Andrea; Todeschini, Roberto; Buratti, Susanna

    2006-06-16

    Classification and influence matrix analysis (CAIMAN) is a new classification method, recently proposed and based on the influence matrix (also called leverage matrix). Depending on the purposes of the classification analysis, CAIMAN can be used in three outlines: (1) D-CAIMAN is a discriminant classification method, (2) M-CAIMAN is a class modelling method allowing a sample to be classified, not classified at all, or assigned to more than one class (confused) and (3) A-CAIMAN deals with the asymmetric case, where only a reference class needs to be modelled. In this work, the geographic classification of samples of wine and olive oil has been carried out by means of CAIMAN and its results compared with discriminant analysis, by focusing great attention on the model predictive capabilities. The geographic characterization has been carried out on three different datasets: extra virgin olive oils produced in a small area, with a "protected denomination of origin" label, wines with different denominations of origin, but produced in enclosed geographical areas, and olive oils belonging to different production areas. Final results seem to indicate that the application of CAIMAN to the geographical origin identification offers several advantages: first, it shows--on an average basis--good performances; second, it is able to deal in a simple way classification problems related to tipicity, authenticity, and uniqueness characterization, which are of increasing interest in food quality issues. PMID:17723406

  3. 男性乳腺癌36例分子分型和临床特征分析%Analysis of molecular classification and clinical characteristics in 36 patients with male breast cancer

    Institute of Scientific and Technical Information of China (English)

    于晶晶; 孙强; 沈松杰

    2013-01-01

    Objective To analyze molecular classification and male breast cancer (MBC) triggers,clinical characteristics in patients with MBC and evaluate the prognosis.Methods 36 MBC patients enrolled in the past 5 years were retrospectively analyzed.100 patients with women breast cancer (WBC) in the same period were randomly selected as control group.The primary pathological type of MBC was the infiltrating ductal carcinoma.According to the expressions of estrogen receptor (ER),progesterone receptor (PR),and the epidermal growth factor receptor 2 (Her-2),the MBC can be divided into 4 kinds of molecular subtypes,Luminal type A,Luminal type B,Her-2 type,and Basal-like type.Results The ratio of MBC patients with grade Ⅲ was lower in the Luminal group A than that in the Luminal group B.There were significant differences (x2 =1.197,P < 0.05) between these two groups.Conclusion The incidence rate of MBC is low but the prognosis is poor.The primary pathological type is the infiltrating ductal carcinoma.The ratio of MBC patients with grade Ⅲ is lower in the common Luminal group A than that in the common Luminal group B.%目的 研究男性乳腺癌(MBC)的发病因素、分子分型、手术方式等并对其预后进行评估.方法 回顾性分析近5年住院的MBC患者36例,选取同期女性乳腺癌(WBC)患者100例作为对照组,病理类型以浸润性导管癌为主;根据雌激素受体(ER)、孕激素受体(PR)和人类表皮生长因子受体2(Her-2)的表达情况将MBC分为4种分子亚型,即Luminal A型、Luminal B型、Her-2型和Basal-like型.结果 LuminalA组较LuminalB组乳腺癌患者组织学Ⅲ级的比例低,差异有统计学意义(x2=1.197,P< 0.05).结论 MBC发病率低,预后较差,病理类型以浸润性导管癌为主.MBC患者多见Luminal A型和Luminal B型,Luminal A型较Luminal B型乳腺癌患者组织学Ⅲ级的比例低.

  4. Classification and regression tree analysis of 154 patients with cancer of unknown primary%原发灶不明肿瘤患者预后影响因素的分类及回归树分析

    Institute of Scientific and Technical Information of China (English)

    王子平; 刘雨桃; 杨娟

    2010-01-01

    目的 探讨原发灶不明肿瘤患者的预后影响因素.方法 收集154例原发灶不明肿瘤患者的临床和随访资料,采用分类及回归树分析(CART)建立生存树.结果 154例原发灶不明肿瘤患者的中位生存时间(MS)为18.2个月,5年生存率为1.3%.CART分析将年龄34岁作为第1个划分位点,逐级划分后获得了5个末端结,即5个终末亚组.生存时间最长的是年龄为35~60岁、受累器官数目≤2个的非腺癌亚组,其MS为61.8个月.生存时间最短的是年龄≤34岁亚组,其MS为5.5个月.结论 患者年龄、转移器官数目和病理类型与原发灶不明肿瘤患者的生存时间关系密切.回归树分析可以找出既往被忽略的原发灶不明肿瘤亚组患者,这对临床工作具有重要的指导意义,并将有利于今后开展相关的临床研究.%Objective To explore the prognostic factors and their impact on survival of patients with cancer of unknown primary (CUP). Methods The clinical and follow up data of 154 CUP patients referred to the Cancer Hospital & Institute, Chinese Academy of Medical Sciences from January 1,2003 to December 31,2007 were analyzed. Multivariate analysis of survival was performed using recursive partitioning referred to as classification and regression tree (CART) analysis. Results The median survival for 154 eligible consecutive CUP patients was 18.2 months, and the 5-year survival rate was 1.3%. CART was performed with an initial split on age of 34, and 5 terminal subgroups were formed. The median survival of the 5 subsets ranged from 5.5 months (younger than 34 years old subgroup) to 61.8 months for patients at age of 34 to 60, with one or two organ sites involved, and non-adenocarcinoma histology subsets. Conclusions CART can be used to identify previously unappreciated patient subsets and is a useful method for dissecting complex clinical situations and identifying homogeneous patient populations in clinical practice and future clinical

  5. The classification, definition, and ontology of delusion

    Directory of Open Access Journals (Sweden)

    José Eduardo Porcher

    2016-03-01

    Full Text Available Although delusion is one of the central concepts of psychopathology, it stills eludes precise conceptualization. In this paper, I present certain basic issues concerning the classification and definition of delusion, as well as its ontological status. By examining these issues, I aim to shed light on the ambiguity of the clinical term ‘delusion’ and its extension, as well as provide clues as to why philosophers are increasingly joining the ranks of psychiatrists, psychologists, and neuroscientists in the effort to come to a comprehensive understanding of delusion.

  6. Classification of spent nuclear fuel (SNF)

    International Nuclear Information System (INIS)

    This report is one of a series of eight prepared by E. R. Johnson Associates, Inc. (JAI) under ORNL's contract with DOE's OCRWM Systems Integration Program and in support of the Annual Capacity Report (ACR) Issue Resolution Process. The report topics relate specifically to the list of high-priority technical waste acceptance issues developed jointly by DOE and a utility-working group. JAI performed various analyses and studies on each topic to serve as starting points for further discussion and analysis leading eventually to finalizing the process by which DOE will accept spent fuel and waste into its waste management system. This document discusses the classification of spent nuclear fuels

  7. IJIMAI Editor's Note - Vol. 3 Issue 7

    Directory of Open Access Journals (Sweden)

    Oscar Sanjuan-Martinez

    2016-06-01

    Full Text Available The research works presented in this issue are based on various topics of interest, among which are included: SVM and ANN Based Classification, Security in Android, Semantic Data, Planning and Software Agents, Mission Planning, Clustering in Text Mining, Mobile Networks, Weather Radars, Human Activity Recognition, LIF Neurons and DDF, Theft Prevention, Constraint Programming, Measuring Meditations Effects, Neural Networks and Deep Learning.

  8. Product Classification in Supply Chain

    OpenAIRE

    Xing, Lihong; Xu, Yaoxuan

    2010-01-01

    Oriflame is a famous international direct sale cosmetics company with complicated supply chain operation but it lacks of a product classification system. It is vital to design a product classification method in order to support Oriflame global supply planning and improve the supply chain performance. This article is aim to investigate and design the multi-criteria of product classification, propose the classification model, suggest application areas of product classification results and intro...

  9. Classification of Radioactive Waste. General Safety Guide (Spanish Edition)

    International Nuclear Information System (INIS)

    This publication is a revision of an earlier Safety Guide of the same title issued in 1994. It recommends revised waste management strategies that reflect changes in practices and approaches since then. It sets out a classification system for the management of waste prior to disposal and for disposal, driven by long term safety considerations. It includes a number of schemes for classifying radioactive waste that can be used to assist with planning overall national approaches to radioactive waste management and to assist with operational management at facilities. Contents: 1. Introduction; 2. The radioactive waste classification scheme; Appendix: The classification of radioactive waste; Annex I: Evolution of IAEA standards on radioactive waste classification; Annex II: Methods of classification; Annex III: Origin and types of radioactive waste

  10. In vivo models for cancer stem cell research: a practical guide for frequently used animal models and available biomarkers.

    Science.gov (United States)

    Skidan, I; Steiniger, S C J

    2014-04-01

    The identification of a rare population of cancer stem cells whose presence in tumors is believed to determine their growth and metastatic activity, has provided a novel approach for targeted anti-cancer therapy. At the in vivo stage of the development of new therapeutic approaches for killing cancer stem cells, the most significant issues are the appropriate choice of rational animal models that offer the option to select animal species, strains and substrains, essential techniques for the inoculation of tumors, and methods of tumor detection in animals. The identification and validation of various types of cancer stem cell markers, which could serve as potential marker(s) of therapeutic efficacy of applied drugs, is a considerable challenge. The aim of this review is to provide a guide for the in vivo study of novel therapeutics that target cancer stem cells. This review describes frequently used mouse solid tumor models and evaluates their usefulness for cancer stem cell research. The classification of existing compounds that are used in today's experimental anti-cancer stem cell therapy and examples of exploratory first-in-human studies using these compounds for selective elimination of cancer stem cells will also be discussed. Finally, this review will examine the current status of available cancer stem cell markers, and highlight several important cancer stem cell properties that are still not well understood, but could influence the anti-cancer drug development process. PMID:24781726

  11. Concepts of Classification and Taxonomy Phylogenetic Classification

    Science.gov (United States)

    Fraix-Burnet, D.

    2016-05-01

    Phylogenetic approaches to classification have been heavily developed in biology by bioinformaticians. But these techniques have applications in other fields, in particular in linguistics. Their main characteristics is to search for relationships between the objects or species in study, instead of grouping them by similarity. They are thus rather well suited for any kind of evolutionary objects. For nearly fifteen years, astrocladistics has explored the use of Maximum Parsimony (or cladistics) for astronomical objects like galaxies or globular clusters. In this lesson we will learn how it works.

  12. Gene expression signatures for colorectal cancer microsatellite status and HNPCC

    DEFF Research Database (Denmark)

    Kruhøffer, M; Jensen, J L; Laiho, P;

    2005-01-01

    is correlated to prognosis and response to chemotherapy. Gene expression signatures as predictive markers are being developed for many cancers, and the identification of a signature for MMR deficiency would be of interest both clinically and biologically. To address this issue, we profiled the gene expression......-deficient tumours into sporadic MSI and HNPCC cases, and validated this by a mathematical cross-validation approach. The demonstration that this two-step classification approach can identify MSI as well as HNPCC cases merits further gene expression studies to identify prognostic signatures....

  13. The breast cancer genome - a key for better oncology

    OpenAIRE

    Vollan Hans; Caldas Carlos

    2011-01-01

    Abstract Molecular classification has added important knowledge to breast cancer biology, but has yet to be implemented as a clinical standard. Full sequencing of breast cancer genomes could potentially refine classification and give a more complete picture of the mutational profile of cancer and thus aid therapy decisions. Future treatment guidelines must be based on the knowledge derived from histopathological sub-classification of tumors, but with added information from genomic signatures ...

  14. Automated classification of parenchymal patterns in mammograms

    Energy Technology Data Exchange (ETDEWEB)

    Karssemeijer, N. [University Hospital Nijmegen, Department of Radiology, PO Box 9101, 6500 HB Nijmegen (Netherlands)

    1998-02-01

    A method for automated determination of parenchymal patterns in mammograms has been developed that is insensitive to changes in the mammographic imaging technique. The method was designed to study the relation between breast cancer risk and changes of mammographic density. It includes a new method for automatic segmentation of the pectoral muscle in oblique mammograms, based on application of the Hough transform. The technique developed for classification of parenchymal patterns is based on a distance transform that subdivides the breast tissue area into regions in which distance to the skin line is approximately equal. Features are calculated from grey level histograms computed in these regions. In this way, dependency on varying tissue thickness in the peripheral zone of the breast is minimized. Additional features represent differences between tissue projected in pectoral and breast area. Robustness and classification performance were studied on a test set of 615 digitized mammograms, applying a kNN classifier and leave-one-out for training. Using four density categories in 67% of the cases an exact agreement was obtained with a subjective classification made by a radiologist. The number of cases for which classifications of the radiologist and the program differed by more that one category was only 2%. For more recent mammograms, recorded after 1991, an exact agreement of 80% was obtained. (author)

  15. Research of Ki67 as index for further classification of ER + and/or PR + breast cancer%Ki67作为ER+和(或)PR+乳腺癌进一步分型指标的研究

    Institute of Scientific and Technical Information of China (English)

    张同先; 王亚红; 张巍; 吕淑华; 刘宁; 杨天敬; 牛昀

    2013-01-01

    目的:探讨Ki67作为Luminal乳腺癌进一步分型中的重要指标的可能性,为以分子分型为基础的乳腺癌个体化治疗选择提供依据.方法:采用免疫组织化学(IHC)检测并将Luminal型乳腺癌分为Luminal A、Luminal B、Luminal-HER2 3种亚型,回顾性分析717例Luminal型乳腺癌的临床病理学特点及临床治疗情况.结果:(1)3种亚型临床病理学特征及临床治疗方案选择方面具有显著差异(P<0.05).(2)3种亚型5年无病生存率差异具有显著性(P<0.05).(3)辅助性放疗能降低Luminal B型患者的复发风险(P<0.05),辅助性化疗能够降低Ki67阳性且存在高危险因素的Luminal型患者的复发风险(P<0.05).内分泌治疗是Luminal型患者一个有效的治疗手段(P<0.05).结论:Ki67可成为对Luminal型乳腺癌进一步分型的指标,为临床个体化治疗改善患者预后提供新的视角和依据.%Objective Ki67 may be an important indicator for further classification in Luminal breast cancer, the further classification will provide evidence for the selection of individual therapy basis of molecular classification. Methods Luminal breast cancer was divided into three subtype; Luminal A, Luminal B, and Luminal-HER2 by immunohistochemistry (IHC) , the clinical pathologic characteristics and clinical treatment of 717 cases with Luminal type of breast cancer cases were retrospectively analyzed. Results (1) The three breast cancer intrinsic subtypes had significant differences in the clinicopathological characteristics and clinical treatment choice. (2)5 years disease-free survival of the three breast cancer intrinsic subtypes were significant differences. (3)Adjunctive radiotherapy could decrease the risk of relapse in Luminal B (P < 0.05). Adjuvant chemotherapies could reduce the relapse for the patients with risk factors and Ki67 positive Luminal breast tumors (P < 0.05). Adjuvant hormone therapy was an effective treatment for Luminal breast cancer (P < 0

  16. Information gathering for CLP classification

    Directory of Open Access Journals (Sweden)

    Ida Marcello

    2011-01-01

    Full Text Available Regulation 1272/2008 includes provisions for two types of classification: harmonised classification and self-classification. The harmonised classification of substances is decided at Community level and a list of harmonised classifications is included in the Annex VI of the classification, labelling and packaging Regulation (CLP. If a chemical substance is not included in the harmonised classification list it must be self-classified, based on available information, according to the requirements of Annex I of the CLP Regulation. CLP appoints that the harmonised classification will be performed for carcinogenic, mutagenic or toxic to reproduction substances (CMR substances and for respiratory sensitisers category 1 and for other hazard classes on a case-by-case basis. The first step of classification is the gathering of available and relevant information. This paper presents the procedure for gathering information and to obtain data. The data quality is also discussed.

  17. The paradox of atheoretical classification

    DEFF Research Database (Denmark)

    Hjørland, Birger

    2016-01-01

    A distinction can be made between “artificial classifications” and “natural classifications,” where artificial classifications may adequately serve some limited purposes, but natural classifications are overall most fruitful by allowing inference and thus many different purposes. There is strong...... support for the view that a natural classification should be based on a theory (and, of course, that the most fruitful theory provides the most fruitful classification). Nevertheless, atheoretical (or “descriptive”) classifications are often produced. Paradoxically, atheoretical classifications may...... be very successful. The best example of a successful “atheoretical” classification is probably the prestigious Diagnostic and Statistical Manual of Mental Disorders (DSM) since its third edition from 1980. Based on such successes one may ask: Should the claim that classifications ideally are natural...

  18. Sound classification of dwellings

    DEFF Research Database (Denmark)

    Rasmussen, Birgit

    2012-01-01

    National schemes for sound classification of dwellings exist in more than ten countries in Europe, typically published as national standards. The schemes define quality classes reflecting different levels of acoustical comfort. Main criteria concern airborne and impact sound insulation between....... Descriptors, range of quality levels, number of quality classes, class intervals, denotations and descriptions vary across Europe. The diversity is an obstacle for exchange of experience about constructions fulfilling different classes, implying also trade barriers. Thus, a harmonized classification scheme...... is needed, and a European COST Action TU0901 "Integrating and Harmonizing Sound Insulation Aspects in Sustainable Urban Housing Constructions", has been established and runs 2009-2013, one of the main objectives being to prepare a proposal for a European sound classification scheme with a number of quality...

  19. Bosniak Classification system

    DEFF Research Database (Denmark)

    Graumann, Ole; Osther, Susanne Sloth; Karstoft, Jens;

    2014-01-01

    Background: The Bosniak classification is a diagnostic tool for the differentiation of cystic changes in the kidney. The process of categorizing renal cysts may be challenging, involving a series of decisions that may affect the final diagnosis and clinical outcome such as surgical management....... Purpose: To investigate the inter- and intra-observer agreement among experienced uroradiologists when categorizing complex renal cysts according to the Bosniak classification. Material and Methods: The original categories of 100 cystic renal masses were chosen as “Gold Standard” (GS), established...... to the calculated weighted κ all readers performed “very good” for both inter-observer and intra-observer variation. Most variation was seen in cysts catagorized as Bosniak II, IIF, and III. These results show that radiologists who evaluate complex renal cysts routinely may apply the Bosniak classification...

  20. Bosniak classification system

    DEFF Research Database (Denmark)

    Graumann, Ole; Osther, Susanne Sloth; Karstoft, Jens;

    2016-01-01

    BACKGROUND: The Bosniak classification was originally based on computed tomographic (CT) findings. Magnetic resonance (MR) and contrast-enhanced ultrasonography (CEUS) imaging may demonstrate findings that are not depicted at CT, and there may not always be a clear correlation between the findings...... at MR and CEUS imaging and those at CT. PURPOSE: To compare diagnostic accuracy of MR, CEUS, and CT when categorizing complex renal cystic masses according to the Bosniak classification. MATERIAL AND METHODS: From February 2011 to June 2012, 46 complex renal cysts were prospectively evaluated by three...... readers. Each mass was categorized according to the Bosniak classification and CT was chosen as gold standard. Kappa was calculated for diagnostic accuracy and data was compared with pathological results. RESULTS: CT images found 27 BII, six BIIF, seven BIII, and six BIV. Forty-three cysts could...

  1. Vertebral fracture classification

    Science.gov (United States)

    de Bruijne, Marleen; Pettersen, Paola C.; Tankó, László B.; Nielsen, Mads

    2007-03-01

    A novel method for classification and quantification of vertebral fractures from X-ray images is presented. Using pairwise conditional shape models trained on a set of healthy spines, the most likely unfractured shape is estimated for each of the vertebrae in the image. The difference between the true shape and the reconstructed normal shape is an indicator for the shape abnormality. A statistical classification scheme with the two shapes as features is applied to detect, classify, and grade various types of deformities. In contrast with the current (semi-)quantitative grading strategies this method takes the full shape into account, it uses a patient-specific reference by combining population-based information on biological variation in vertebra shape and vertebra interrelations, and it provides a continuous measure of deformity. Good agreement with manual classification and grading is demonstrated on 204 lateral spine radiographs with in total 89 fractures.

  2. Diagnostic and therapeutic issues for patients with advanced non‑small cell lung cancer harboring anaplastic lymphoma kinase rearrangement: European vs. US perspective (review).

    Science.gov (United States)

    Di Maio, Massimo; De Marinis, Filippo; Hirsch, Fred R; Gridelli, Cesare

    2014-08-01

    The recent availability of crizotinib in clinical practice, for the treatment of patients with advanced non-small cell lung cancer (NSCLC) selected by the presence of anaplastic lymphoma kinase (ALK) rearrangement, has relevant implications for both the diagnostic phase and the treatment choices. In the United States, crizotinib was approved by the Food and Drug Administration (FDA) in 2011 for patients with ALK positivity detected by FDA-approved companion diagnostic test. As of January, 2014, the only FDA-approved diagnostic test is Vysis ALK Break-Apart FISH Probe Kit. In Europe, European Medicines Agency (EMA) approved crizotinib for ALK-positive patients in 2012, without specifying the type of test used for determining the positivity. FISH remains the reference technique for ALK determination, but, if fully validated, immunohistochemistry could challenge the current ALK screening practice. Given the robust evidence of activity of crizotinib in ALK-positive patients both pretreated and chemotherapy-naïve, and the favourable tolerability profile of the drug, many oncologists would prefer to administer the drug as early as possible. This is technically feasible in the United States, where crizotinib was approved well before the availability of the results of the randomized phase III trial comparing the drug with standard second-line chemotherapy, and the use of crizotinib in ALK-positive patients is not restricted to a specific line of treatment. On the contrary, in Europe, differently from the FDA decision, crizotinib cannot be used in chemotherapy-naïve patients. In both realities, a deeper knowledge of mechanisms of resistance, the role of repeated biopsies, the treatment strategy for patients experiencing disease progression with crizotinib, the choice of the best chemotherapy regimen are challenging topics for the management of ALK-positive patients in clinical practice.

  3. Classification des rongeurs

    OpenAIRE

    Mignon, Jacques; Hardouin, Jacques

    2003-01-01

    Les lecteurs du Bulletin BEDIM semblent parfois avoir des difficultés avec la classification scientifique des animaux connus comme "rongeurs" dans le langage courant. Vu les querelles existant encore aujourd'hui dans la mise en place de cette classification, nous ne nous en étonnerons guère. La brève synthèse qui suit concerne les animaux faisant ou susceptibles de faire partie du mini-élevage. The note aims at providing the main characteristics of the principal families of rodents relevan...

  4. Acoustic classification of dwellings

    DEFF Research Database (Denmark)

    Berardi, Umberto; Rasmussen, Birgit

    2014-01-01

    insulation performance, national schemes for sound classification of dwellings have been developed in several European countries. These schemes define acoustic classes according to different levels of sound insulation. Due to the lack of coordination among countries, a significant diversity in terms...... of descriptors, number of classes, and class intervals occurred between national schemes. However, a proposal “acoustic classification scheme for dwellings” has been developed recently in the European COST Action TU0901 with 32 member countries. This proposal has been accepted as an ISO work item. This paper...

  5. Minimum Error Entropy Classification

    CERN Document Server

    Marques de Sá, Joaquim P; Santos, Jorge M F; Alexandre, Luís A

    2013-01-01

    This book explains the minimum error entropy (MEE) concept applied to data classification machines. Theoretical results on the inner workings of the MEE concept, in its application to solving a variety of classification problems, are presented in the wider realm of risk functionals. Researchers and practitioners also find in the book a detailed presentation of practical data classifiers using MEE. These include multi‐layer perceptrons, recurrent neural networks, complexvalued neural networks, modular neural networks, and decision trees. A clustering algorithm using a MEE‐like concept is also presented. Examples, tests, evaluation experiments and comparison with similar machines using classic approaches, complement the descriptions.

  6. Classification of syringomyelia.

    Science.gov (United States)

    Milhorat, T H

    2000-01-01

    Syringomyelia poses special challenges for the clinician because of its complex symptomatology, uncertain pathogenesis, and multiple options of treatment. The purpose of this study was to classify intramedullary cavities according to their most salient pathological and clinical features. Pathological findings obtained in 175 individuals with tubular cavitations of the spinal cord were correlated with clinical and magnetic resonance (MR) imaging findings in a database of 927 patients. A classification system was developed in which the morbid anatomy, cause, and pathogenesis of these lesions are emphasized. The use of a disease-based classification of syringomyelia facilitates diagnosis and the interpretation of MR imaging findings and provides a guide to treatment. PMID:16676921

  7. Classification of human leukocyte antigen (HLA) supertypes

    DEFF Research Database (Denmark)

    Wang, Mingjun; Claesson, Mogens H

    2014-01-01

    Identification of new antigenic peptides, derived from infectious agents or cancer cells, which bind to human leukocyte antigen (HLA) class I and II molecules, is of importance for the development of new effective vaccines capable of activating the cellular arm of the immune response. However, the...... barrier to the development of peptide-based vaccines with maximum population coverage is that the restricting HLA genes are extremely polymorphic resulting in a vast diversity of peptide-binding HLA specificities and a low population coverage for any given peptide-HLA specificity. One way to reduce this...... complexity is to group thousands of different HLA molecules into several so-called HLA supertypes: a classification that refers to a group of HLA alleles with largely overlapping peptide binding specificities. In this chapter, we focus on the state-of-the-art classification of HLA supertypes including HLA...

  8. Insights into the classification of small GTPases

    Directory of Open Access Journals (Sweden)

    Dominik Heider

    2010-05-01

    Full Text Available Dominik Heider1, Sascha Hauke3, Martin Pyka4, Daniel Kessler21Department of Bioinformatics, Center for Medical Biotechnology, 2Institute of Cell Biology (Cancer Research, University of Duisburg-Essen, Essen, Germany; 3Institute of Computer Science, University of Münster, Münster, Germany; 4Interdisciplinary Center for Clinical Research, University Hospital of Münster, Münster, GermanyAbstract: In this study we used a Random Forest-based approach for an assignment of small guanosine triphosphate proteins (GTPases to specific subgroups. Small GTPases represent an important functional group of proteins that serve as molecular switches in a wide range of fundamental cellular processes, including intracellular transport, movement and signaling events. These proteins have further gained a special emphasis in cancer research, because within the last decades a huge variety of small GTPases from different subgroups could be related to the development of all types of tumors. Using a random forest approach, we were able to identify the most important amino acid positions for the classification process within the small GTPases superfamily and its subgroups. These positions are in line with the results of earlier studies and have been shown to be the essential elements for the different functionalities of the GTPase families. Furthermore, we provide an accurate and reliable software tool (GTPasePred to identify potential novel GTPases and demonstrate its application to genome sequences.Keywords: cancer, machine learning, classification, Random Forests, proteins

  9. Scale Issues Related to the Accuracy Assessment of Land Use/Land Cover Maps Produced Using Multi-Resolution Data: Comments on “The Improvement of Land Cover Classification by Thermal Remote Sensing”. Remote Sens. 2015, 7(7, 8368–8390

    Directory of Open Access Journals (Sweden)

    Brian A. Johnson

    2015-10-01

    Full Text Available Much remote sensing (RS research focuses on fusing, i.e., combining, multi-resolution/multi-sensor imagery for land use/land cover (LULC classification. In relation to this topic, Sun and Schulz [1] recently found that a combination of visible-to-near infrared (VNIR; 30 m spatial resolution and thermal infrared (TIR; 100–120 m spatial resolution Landsat data led to more accurate LULC classification. They also found that using multi-temporal TIR data alone for classification resulted in comparable (and in some cases higher classification accuracies to the use of multi-temporal VNIR data, which contrasts with the findings of other recent research [2]. This discrepancy, and the generally very high LULC accuracies achieved by Sun and Schulz (up to 99.2% overall accuracy for a combined VNIR/TIR classification result, can likely be explained by their use of an accuracy assessment procedure which does not take into account the multi-resolution nature of the data. Sun and Schulz used 10-fold cross-validation for accuracy assessment, which is not necessarily inappropriate for RS accuracy assessment in general. However, here it is shown that the typical pixel-based cross-validation approach results in non-independent training and validation data sets when the lower spatial resolution TIR images are used for classification, which causes classification accuracy to be overestimated.

  10. MASS CLASSIFICATION IN DIGITAL MAMMOGRAMS BASED ON DISCRETE SHEARLET TRANSFORM

    Directory of Open Access Journals (Sweden)

    J. Amjath Ali

    2013-01-01

    Full Text Available The most significant health problem in the world is breast cancer and early detection is the key to predict it. Mammography is the most reliable method to diagnose breast cancer at the earliest. The classification of the two most findings in the digital mammograms, micro calcifications and mass are valuable for early detection. Since, the appearance of the masses are similar to the surrounding parenchyma, the classification is not an easy task. In this study, an efficient approach to classify masses in the Mammography Image Analysis Society (MIAS database mammogram images is presented. The key features used for the classification is the energies of shearlet decomposed image. These features are fed into SVM classifier to classify mass/non mass images and also benign/malignant. The results demonstrate that the proposed shearlet energy features outperforms the wavelet energy features in terms of accuracy."

  11. The Evolution of Tumor Classification: A Role for Genomics?

    OpenAIRE

    Bunn, Paul A.; Franklin, Wilbur; Doebele, Robert C.

    2013-01-01

    Lung cancers are divided into four types according to their histologic appearance. Therapeutic decisions are partly based on histology. A recent study indicates that certain molecular alterations associate with histology and therapies directed to these molecular changes improve outcome, indicating that genomic information should be incorporated into future tumor classification.

  12. Updated Classification System for Proximal Humeral Fractures

    Science.gov (United States)

    Guix, José M. Mora; Pedrós, Juan Sala; Serrano, Alejandro Castaño

    2009-01-01

    Proximal humeral fractures can restrict daily activities and, therefore, deserve efficient diagnoses that minimize complications and sequels. For good diagnosis and treatment, patient characteristics, variability in the forms of the fractures presented, and the technical difficulties in achieving fair results with surgical treatment should all be taken into account. Current classification systems for these fractures are based on anatomical and pathological principles, and not on systematic image reading. These fractures can appear in many different forms, with many characteristics that must be identified. However, many current classification systems lack good reliability, both inter-observer and intra-observer for different image types. A new approach to image reading, following a well-designed set and sequence of variables to check, is needed. We previously reported such an image reading system. In the present study, we report a classification system based on this image reading system. Here we define 21 fracture characteristics and apply them along with classical Codman approaches to classify fractures. We base this novel classification system for classifying proximal humeral fractures on a review of scientific literature and improvements to our image reading protocol. Patient status, fracture characteristics and surgeon circumstances have been important issues in developing this system. PMID:19574487

  13. Classification of Patients Treated for Infertility Using the IVF Method

    Directory of Open Access Journals (Sweden)

    Malinowski Paweł

    2015-12-01

    Full Text Available One of the most effective methods of infertility treatment is in vitro fertilization (IVF. Effectiveness of the treatment, as well as classification of the data obtained from it, is still an ongoing issue. Classifiers obtained so far are powerful, but even the best ones do not exhibit equal quality concerning possible treatment outcome predictions. Usually, lack of pregnancy is predicted far too often. This creates a constant need for further exploration of this issue. Careful use of different classification methods can, however, help to achieve that goal.

  14. Sandwich classification theorem

    Directory of Open Access Journals (Sweden)

    Alexey Stepanov

    2015-09-01

    Full Text Available The present note arises from the author's talk at the conference ``Ischia Group Theory 2014''. For subgroups FleN of a group G denote by Lat(F,N the set of all subgroups of N , containing F . Let D be a subgroup of G . In this note we study the lattice LL=Lat(D,G and the lattice LL ′ of subgroups of G , normalized by D . We say that LL satisfies sandwich classification theorem if LL splits into a disjoint union of sandwiches Lat(F,N G (F over all subgroups F such that the normal closure of D in F coincides with F . Here N G (F denotes the normalizer of F in G . A similar notion of sandwich classification is introduced for the lattice LL ′ . If D is perfect, i.,e. coincides with its commutator subgroup, then it turns out that sandwich classification theorem for LL and LL ′ are equivalent. We also show how to find basic subroup F of sandwiches for LL ′ and review sandwich classification theorems in algebraic groups over rings.

  15. Dynamic Latent Classification Model

    DEFF Research Database (Denmark)

    Zhong, Shengtong; Martínez, Ana M.; Nielsen, Thomas Dyhre;

    as possible. Motivated by this problem setting, we propose a generative model for dynamic classification in continuous domains. At each time point the model can be seen as combining a naive Bayes model with a mixture of factor analyzers (FA). The latent variables of the FA are used to capture the dynamics...

  16. Classifications in popular music

    NARCIS (Netherlands)

    A. van Venrooij; V. Schmutz

    2015-01-01

    The categorical system of popular music, such as genre categories, is a highly differentiated and dynamic classification system. In this article we present work that studies different aspects of these categorical systems in popular music. Following the work of Paul DiMaggio, we focus on four questio

  17. Classification of waste packages

    Energy Technology Data Exchange (ETDEWEB)

    Mueller, H.P.; Sauer, M.; Rojahn, T. [Versuchsatomkraftwerk GmbH, Kahl am Main (Germany)

    2001-07-01

    A barrel gamma scanning unit has been in use at the VAK for the classification of radioactive waste materials since 1998. The unit provides the facility operator with the data required for classification of waste barrels. Once these data have been entered into the AVK data processing system, the radiological status of raw waste as well as pre-treated and processed waste can be tracked from the point of origin to the point at which the waste is delivered to a final storage. Since the barrel gamma scanning unit was commissioned in 1998, approximately 900 barrels have been measured and the relevant data required for classification collected and analyzed. Based on the positive results of experience in the use of the mobile barrel gamma scanning unit, the VAK now offers the classification of barrels as a service to external users. Depending upon waste quantity accumulation, this measurement unit offers facility operators a reliable and time-saving and cost-effective means of identifying and documenting the radioactivity inventory of barrels scheduled for final storage. (orig.)

  18. Improving Student Question Classification

    Science.gov (United States)

    Heiner, Cecily; Zachary, Joseph L.

    2009-01-01

    Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to provide automated tutorial responses is a challenging problem. This paper analyzes 411 questions from an introductory Java programming course by reducing the natural…

  19. Nearest convex hull classification

    NARCIS (Netherlands)

    G.I. Nalbantov (Georgi); P.J.F. Groenen (Patrick); J.C. Bioch (Cor)

    2006-01-01

    textabstractConsider the classification task of assigning a test object to one of two or more possible groups, or classes. An intuitive way to proceed is to assign the object to that class, to which the distance is minimal. As a distance measure to a class, we propose here to use the distance to the

  20. Classification system: Netherlands

    NARCIS (Netherlands)

    Hartemink, A.E.

    2006-01-01

    Although people have always classified soils, it is only since the mid 19th century that soil classification emerged as an important topic within soil science. It forced soil scientists to think systematically about soils and its genesis and developed to facilitate communication between soil scienti