Understanding Cancer Prognosis

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Full Text Available ... D., a national expert on doctor-patient communications, talks with one of his patients about what she'd like to ... how to discuss cancer prognosis (the likely course of the disease). Learn key points about prognosis and how to talk about it, and gain valuable insight from the ...

Understanding Cancer Prognosis

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Full Text Available ... spread. Certain traits of the cancer cells Your age and how healthy you were before cancer How ... how to discuss prognosis with their patients. Good communication, he says, is part of providing good care. ...

Understanding Cancer Prognosis

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Full Text Available ... Reporting & Auditing Grant Transfer Grant Closeout Contracts & Small Business Training Cancer Training at NCI (Intramural) Resources for ... Staging Prognosis Questions to Ask ... This statistic is another method used to estimate cancer-specific survival that does ...

Understanding Cancer Prognosis

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Full Text Available ... Your Cancer Prognosis Video View this video on YouTube. Three cancer patients and their doctor share their ... One Couple's Creative Response View this video on YouTube. Vanessa, an artist, and her husband Roy discover ...

Understanding Cancer Prognosis

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Full Text Available ... Reporting & Auditing Grant Transfer Grant Closeout Contracts & Small Business Training Cancer Training at NCI (Intramural) Funding for ... Staging Prognosis Questions to Ask about ... This statistic is another method used to estimate cancer-specific survival that does ...

Understanding Cancer Prognosis

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Full Text Available ... Reporting & Auditing Grant Transfer Grant Closeout Contracts & Small Business Training Cancer Training at NCI (Intramural) Resources for ... Staging Prognosis Questions to Ask about ... This statistic is another method used to estimate cancer-specific survival that does ...

Understanding your cancer prognosis

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... about: Treatment Palliative care Personal matters such as finances Knowing what to expect may make it easier ... treatment. www.cancer.net/navigating-cancer-care/cancer-basics/understanding-statistics-used-guide-prognosis-and-evaluate-treatment . ...

Understanding Cancer Prognosis

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Full Text Available ... a link to this page included, e.g., “Understanding Cancer Prognosis was originally published by the National Cancer Institute.” Please note that blog posts that are written by individuals from outside the government may be owned by the writer, and graphics ...

[Diagnostic imaging of breast cancer : An update].

Science.gov (United States)

Funke, M

2016-10-01

Advances in imaging of the female breast have substantially influenced the diagnosis and probably also the therapy and prognosis of breast cancer in the past few years. This article gives an overview of the most important imaging modalities in the diagnosis of breast cancer. Digital mammography is considered to be the gold standard for the early detection of breast cancer. Digital breast tomosynthesis can increase the diagnostic accuracy of mammography and is used for the assessment of equivocal or suspicious mammography findings. Other modalities, such as ultrasound and contrast-enhanced magnetic resonance imaging (MRI) play an important role in the diagnostics, staging and follow-up of breast cancer. Percutaneous needle biopsy is a rapid and minimally invasive method for the histological verification of breast cancer. New breast imaging modalities, such as contrast-enhanced spectral mammography, diffusion-weighted MRI and MR spectroscopy can possibly further improve breast cancer diagnostics; however, further studies are necessary to prove the advantages of these methods so that they cannot yet be recommended for routine clinical use.

Understanding Cancer Prognosis

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Full Text Available ... our information on Coping With Cancer helpful. Understanding Statistics About Survival Doctors estimate prognosis by using statistics that researchers have collected over many years about ...

Understanding Cancer Prognosis

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Full Text Available ... to know more, the doctor who knows the most about your situation is in the best position ... statistics may be used to estimate prognosis. The most commonly used statistics include: Cancer-specific survival This ...

Understanding Cancer Prognosis

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Full Text Available ... Research Tools, Specimens, and Data Conducting Clinical Trials Statistical Tools and Data Terminology Resources NCI Data Catalog ... poor prognosis if the cancer is harder to control. Whatever your doctor tells you, keep in mind ...

Understanding Cancer Prognosis

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Full Text Available ... your cancer and knowing what to expect can help you and your loved ones make decisions. Some ... what the statistics may mean. If you need help coping with your prognosis, you may find our ...

Understanding Cancer Prognosis

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Full Text Available ... that cancer will come back later. For this reason, doctors cannot say for sure that you are ... about how to discuss prognosis with their patients. Good communication, he says, is part of providing good ...

Understanding Cancer Prognosis

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Full Text Available ... to talk about, even for doctors. Many Factors Can Affect Your Prognosis Some of the factors that ... Understanding your cancer and knowing what to expect can help you and your loved ones make decisions. ...

Understanding Cancer Prognosis

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Understanding Cancer Prognosis

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Full Text Available ... to deal with financial and legal matters Many people want to know their prognosis. They find it ... that researchers have collected over many years about people with the same type of cancer. Several types ...

Understanding Cancer Prognosis

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Full Text Available ... 2 years, 5 years, etc., with 5 years being the time period most often used. Cancer-specific ... a prognosis may not be based on treatments being used today. Still, your doctor may tell you ...

Understanding Cancer Prognosis

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Full Text Available ... hard to talk about, even for doctors. Many Factors Can Affect Your Prognosis Some of the factors ... Services Website Linking U.S. Department of Health and Human Services National Institutes of Health National Cancer Institute ...

Understanding Cancer Prognosis

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Full Text Available ... Your Diagnosis Research Understanding Cancer Prognosis Oncologist Anthony L. Back, M.D., a national expert on doctor- ... Centered Approach View this video on YouTube. Anthony L. Back, M.D., coaches other oncologists about how ...

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Full Text Available ... control. Whatever your doctor tells you, keep in mind that a prognosis is an educated guess. Your ... Website Cancer.gov en español Multimedia Publications Site Map Digital Standards for NCI Websites POLICIES Accessibility Comment ...

Understanding Cancer Prognosis

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Case-based reasoning combined with statistics for diagnostics and prognosis

International Nuclear Information System (INIS)

Olsson, T; Funk, P

2012-01-01

Many approaches used for diagnostics today are based on a precise model. This excludes diagnostics of many complex types of machinery that cannot be modelled and simulated easily or without great effort. Our aim is to show that by including human experience it is possible to diagnose complex machinery when there is no or limited models or simulations available. This also enables diagnostics in a dynamic application where conditions change and new cases are often added. In fact every new solved case increases the diagnostic power of the system. We present a number of successful projects where we have used feature extraction together with case-based reasoning to diagnose faults in industrial robots, welding, cutting machinery and we also present our latest project for diagnosing transmissions by combining Case-Based Reasoning (CBR) with statistics. We view the fault diagnosis process as three consecutive steps. In the first step, sensor fault signals from machines and/or input from human operators are collected. Then, the second step consists of extracting relevant fault features. In the final diagnosis/prognosis step, status and faults are identified and classified. We view prognosis as a special case of diagnosis where the prognosis module predicts a stream of future features.

Diagnostic serum vitamin D level is not a reliable prognostic factor for resectable breast cancer.

Science.gov (United States)

Mizrak Kaya, Dilsa; Ozturk, Bengi; Kubilay, Pinar; Onur, Handan; Utkan, Gungor; Cay Senler, Filiz; Alkan, Ali; Yerlikaya, Halis; Koksoy, Elif B; Karci, Ebru; Demirkazik, Ahmet; Akbulut, Hakan; Icli, Fikri

2018-05-09

There are inconsistent results about the effects of vitamin D level on breast cancer prognosis. We aimed to investigate the effect of vitamin D levels on the prognosis of resectable breast cancer in a patient group with highly different clothing styles. A total of 186 breast cancer patients were enrolled in the study. Vitamin D level was sufficient, insufficient and deficient in 17.2, 52.2 and 30.6% of patients, respectively. There was a significant relationship between clothing style and serum 25 (OH) D levels. We could not establish any relation between vitamin D level and tumor characteristics or survival. Vitamin D supplementation can be more important than diagnostic serum vitamin D level on prognosis of breast cancer.

Understanding Cancer Prognosis

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Full Text Available ... to you. Everyone is different. Treatments and how people respond to treatment can differ greatly. Also, it takes years to see the benefit of new treatments and ways of finding cancer. So, the statistics your doctor uses to make a prognosis may not be based ...

Mathematical models of differential diagnostics and prognosis in chronic pancreatitis and cancer with a primary lesion of the pancreatic head

Directory of Open Access Journals (Sweden)

I. A. Kryvoruchko

2017-02-01

Methods. Analyzed the results of surgical treatment of 132 patients, including 68 - for cancer of the pancreatic head (in 46 - with jaundice and 64 - chronic pancreatitis (CP with a primary lesion of the pancreatic head (16 - with jaundice. The distribution of patients into groups was carried out with a maximum value of classification functions calculated by special formulas. Next studied indicators of endothelial dysfunction for differential diagnosis.  Results. It was defined the threshold of VEGF = 346 pg/ml, which shared the group of chronic pancreatitis or cancer of the pancreatic head, which was determined based on the Pareto criterion. This model sensitivity was 72.1% and specificity of 75% for the overall accuracy of 72.7%. Even more precision indicator was on the threshold of VEGF = 248 pg/ml, which compared groups of patients with cancer and software of the control group (125.9 pg/ml and the sensitivity was 86.8%, specificity 82.4%, and overall accuracy of 82.3%. At about the same accuracy had this test and the comparison group of patients with chronic pancreatitis and control: sensitivity 84.4% and specificity of 76.5% overall accuracy of 81.5% in the threshold VEGF of 155 pg/ml (p<0,05. To develop a prognosis of a pathological process, along with the use of diagnostic data used a method of classification trees. The model showed that the index VEGF is the criterion that discriminates for pancreas- pancreatic cancer-pancreas, but relative differences in the presence of jaundice in patients defined using S-nitrozothiol. The accuracy of the proposed method of prediction was 89%, the price of cross-checking - 82,6% (p<0,05. Pancreatoduodenal resection for Whipple was performed in 23 patients, for Traverso-Longmire - in 8, subtotal right sided pancreatectomy for Fortner - in 3, hepaticojejunostomy by Roux - in 8, duodenopreserving resection for Beger - in 6, her Bernese option - in 7, operation Frey - in 51. In 26 (19.7% patients, minimally invasive

Association between Perception of Prognosis and Spiritual Well-being among Cancer Patients

Directory of Open Access Journals (Sweden)

Alehe Seyedrasooly

2014-02-01

Full Text Available Introduction: Disclosure of cancer prognosis is one of the most difficult challenges in caring of cancer patients. An exact effect of prognosis disclosure on spiritual well-being of cancer patient was not completely investigated. Therefore, the present study aimed to investigate the relationship between perception of prognosis and spiritual well-being among cancer patients. Methods: In this descriptive-correlational study, which conducted in 2013, two hundred cancer patients referred to Shahid Ghazi Hospital and private offices of two oncologists in Tabriz participated with convenience sampling method. Perception of prognosis was investigated by Perception of Prognosis Inventory and spiritual well-being of cancer patients was investigated by Paloutzian and Ellison Inventory. Data were analyzed using descriptive statistics and Pearson correlation test. Results: Participants reported positive perception about the prognosis of their disease (score 11 from 15 and rated their spiritual well-being as high (score 99 from 120. There was a positive correlation between the perception of prognosis and spiritual health among cancer patients.Conclusion: Disclosure of cancer prognosis has negative effects on cancer patients. This result highlights the importance of considering cultural factors in disclosure of cancer prognosis. According to limitations of the present study approving these results need more studies.

Comprehensive Analysis of Cancer-Proteogenome to Identify Biomarkers for the Early Diagnosis and Prognosis of Cancer.

Science.gov (United States)

Shukla, Hem D

2017-10-25

During the past century, our understanding of cancer diagnosis and treatment has been based on a monogenic approach, and as a consequence our knowledge of the clinical genetic underpinnings of cancer is incomplete. Since the completion of the human genome in 2003, it has steered us into therapeutic target discovery, enabling us to mine the genome using cutting edge proteogenomics tools. A number of novel and promising cancer targets have emerged from the genome project for diagnostics, therapeutics, and prognostic markers, which are being used to monitor response to cancer treatment. The heterogeneous nature of cancer has hindered progress in understanding the underlying mechanisms that lead to abnormal cellular growth. Since, the start of The Cancer Genome Atlas (TCGA), and the International Genome consortium projects, there has been tremendous progress in genome sequencing and immense numbers of cancer genomes have been completed, and this approach has transformed our understanding of the diagnosis and treatment of different types of cancers. By employing Genomics and proteomics technologies, an immense amount of genomic data is being generated on clinical tumors, which has transformed the cancer landscape and has the potential to transform cancer diagnosis and prognosis. A complete molecular view of the cancer landscape is necessary for understanding the underlying mechanisms of cancer initiation to improve diagnosis and prognosis, which ultimately will lead to personalized treatment. Interestingly, cancer proteome analysis has also allowed us to identify biomarkers to monitor drug and radiation resistance in patients undergoing cancer treatment. Further, TCGA-funded studies have allowed for the genomic and transcriptomic characterization of targeted cancers, this analysis aiding the development of targeted therapies for highly lethal malignancy. High-throughput technologies, such as complete proteome, epigenome, protein-protein interaction, and pharmacogenomics

A genetic programming approach to oral cancer prognosis.

Science.gov (United States)

Tan, Mei Sze; Tan, Jing Wei; Chang, Siow-Wee; Yap, Hwa Jen; Abdul Kareem, Sameem; Zain, Rosnah Binti

2016-01-01

The potential of genetic programming (GP) on various fields has been attained in recent years. In bio-medical field, many researches in GP are focused on the recognition of cancerous cells and also on gene expression profiling data. In this research, the aim is to study the performance of GP on the survival prediction of a small sample size of oral cancer prognosis dataset, which is the first study in the field of oral cancer prognosis. GP is applied on an oral cancer dataset that contains 31 cases collected from the Malaysia Oral Cancer Database and Tissue Bank System (MOCDTBS). The feature subsets that is automatically selected through GP were noted and the influences of this subset on the results of GP were recorded. In addition, a comparison between the GP performance and that of the Support Vector Machine (SVM) and logistic regression (LR) are also done in order to verify the predictive capabilities of the GP. The result shows that GP performed the best (average accuracy of 83.87% and average AUROC of 0.8341) when the features selected are smoking, drinking, chewing, histological differentiation of SCC, and oncogene p63. In addition, based on the comparison results, we found that the GP outperformed the SVM and LR in oral cancer prognosis. Some of the features in the dataset are found to be statistically co-related. This is because the accuracy of the GP prediction drops when one of the feature in the best feature subset is excluded. Thus, GP provides an automatic feature selection function, which chooses features that are highly correlated to the prognosis of oral cancer. This makes GP an ideal prediction model for cancer clinical and genomic data that can be used to aid physicians in their decision making stage of diagnosis or prognosis.

A genetic programming approach to oral cancer prognosis

Directory of Open Access Journals (Sweden)

Mei Sze Tan

2016-09-01

Full Text Available Background The potential of genetic programming (GP on various fields has been attained in recent years. In bio-medical field, many researches in GP are focused on the recognition of cancerous cells and also on gene expression profiling data. In this research, the aim is to study the performance of GP on the survival prediction of a small sample size of oral cancer prognosis dataset, which is the first study in the field of oral cancer prognosis. Method GP is applied on an oral cancer dataset that contains 31 cases collected from the Malaysia Oral Cancer Database and Tissue Bank System (MOCDTBS. The feature subsets that is automatically selected through GP were noted and the influences of this subset on the results of GP were recorded. In addition, a comparison between the GP performance and that of the Support Vector Machine (SVM and logistic regression (LR are also done in order to verify the predictive capabilities of the GP. Result The result shows that GP performed the best (average accuracy of 83.87% and average AUROC of 0.8341 when the features selected are smoking, drinking, chewing, histological differentiation of SCC, and oncogene p63. In addition, based on the comparison results, we found that the GP outperformed the SVM and LR in oral cancer prognosis. Discussion Some of the features in the dataset are found to be statistically co-related. This is because the accuracy of the GP prediction drops when one of the feature in the best feature subset is excluded. Thus, GP provides an automatic feature selection function, which chooses features that are highly correlated to the prognosis of oral cancer. This makes GP an ideal prediction model for cancer clinical and genomic data that can be used to aid physicians in their decision making stage of diagnosis or prognosis.

The guidelines for diagnostics and treatment of cervical cancer

International Nuclear Information System (INIS)

Inciura, A.; Juozaityte, E.

2004-01-01

Cervical cancer is one of the most common cancers in women. The purpose of this article is to analyze the main diagnostic and treatment strategies for all stages and recurrences of cervical cancer. The article reviews the epidemiological situation, clinical features, diagnostic procedures for detection of this tumor and for evaluation of the dissemination of the disease, staging criteria, TNM (Tumor, Nodes, Metastases) and FIGO (Federation Internationale de Gynecologie et d'Obstetrique) classification, as well as treatment and prognosis. Surgical treatment (radical type II or III hysterectomy and Iymphadenectomy) for early stage I and IIA cervical cancer is the main treatment method. Delivery of adjuvant postoperative radiation therapy or concomitant chemoradiation depends on the prognostic factors (tumor penetration to cervical tissues, Iymphovascular invasion, tumor invasion to paracervical tissues, and surgical margins). For treatment of more advanced stages of cervical cancer (IIB, IIIA, IIIB, IVA) concomitant chemoradiation: external beam radiotherapy with chemotherapy and brachytherapy is used. Description of the treatment guidelines for each stage of cervical cancer is given in this article. These guidelines are useful for good treatment practice. (author)

Prognosis of synchronous bilateral breast cancer

DEFF Research Database (Denmark)

Holm, Marianne; Tjønneland, Anne; Balslev, Eva

2014-01-01

Currently, no consistent evidence-based guidelines for the management of synchronous bilateral breast cancer (SBBC) exist and it is uncertain how presenting with SBBC affects patients' prognosis. We conducted a review of studies analyzing the association between SBBC and prognosis. The studies...... that reported adjusted effect measures were included in meta-analyses of effect of bilaterality on breast cancer mortality. From 57 initially identified records 17 studies from 11 different countries including 8,050 SBBC patients were included. The quality of the studies varied but was generally low with small...... sample sizes, and lack of consistent, detailed histo-pathological information. When doing meta-analysis on the subgroup of studies that provided adjusted effect estimates on breast cancer mortality (nine studies including 3,631 SBBC cases), we found that bilaterality in itself had a negative impact...

Gastric cancer in young people under 30 years of age: worse prognosis, or delay in diagnosis?

International Nuclear Information System (INIS)

López-Basave, Horacio Noé; Morales-Vásquez, Flavia; Ruiz-Molina, Juan Manuel; Ñamendys-Silva, Silvio A; Vela-Sarmiento, Itzel; Ruan, Javier Melchor; Rosciano, Alejandro E Padilla; Calderillo-Ruiz, German; Díaz-Romero, Consuelo; Herrera-Gómez, Angel; Meneses-García, Abelardo A

2013-01-01

Gastric cancer is an aggressive disease with nonspecific early symptoms. Its incidence and prognosis in young patients has shown considerable variability. Our objective was to retrospectively study patients from our institution aged <30 years with gastric carcinoma. The study was undertaken to describe the experience of gastric cancer in this population, and to demonstrate its specific clinical and pathological characteristics. We reviewed the cases of histologically confirmed gastric cancer between 1985 and 2006 at the Instituto Nacional de Cancerología of Mexico (INCan); emphasis in our review was placed on clinical presentation, diagnostic and therapeutic intervention, pathology, and the results. Thirty cases of gastric carcinoma were reviewed. The patients’ median age was 27 years (range, 18–30 years) and the male:female ratio was 1:1. Gastric cancer exhibits different behavior in patients aged, 30 years, but delay in diagnosis and the tumor’s behavior appear to be the most important factors in prognosis of the disease

Prognosis Relevance of Serum Cytokines in Pancreatic Cancer

Science.gov (United States)

Alejandre, Maria José; Palomino-Morales, Rogelio J.; Prados, Jose; Aránega, Antonia; Delgado, Juan R.; Irigoyen, Antonio; Martínez-Galán, Joaquina; Ortuño, Francisco M.

2015-01-01

The overall survival of patients with pancreatic ductal adenocarcinoma is extremely low. Although gemcitabine is the standard used chemotherapy for this disease, clinical outcomes do not reflect significant improvements, not even when combined with adjuvant treatments. There is an urgent need for prognosis markers to be found. The aim of this study was to analyze the potential value of serum cytokines to find a profile that can predict the clinical outcome in patients with pancreatic cancer and to establish a practical prognosis index that significantly predicts patients' outcomes. We have conducted an extensive analysis of serum prognosis biomarkers using an antibody array comprising 507 human cytokines. Overall survival was estimated using the Kaplan-Meier method. Univariate and multivariate Cox's proportional hazard models were used to analyze prognosis factors. To determine the extent that survival could be predicted based on this index, we used the leave-one-out cross-validation model. The multivariate model showed a better performance and it could represent a novel panel of serum cytokines that correlates to poor prognosis in pancreatic cancer. B7-1/CD80, EG-VEGF/PK1, IL-29, NRG1-beta1/HRG1-beta1, and PD-ECGF expressions portend a poor prognosis for patients with pancreatic cancer and these cytokines could represent novel therapeutic targets for this disease. PMID:26346854

Prognosis Relevance of Serum Cytokines in Pancreatic Cancer

Directory of Open Access Journals (Sweden)

Carolina Torres

2015-01-01

Full Text Available The overall survival of patients with pancreatic ductal adenocarcinoma is extremely low. Although gemcitabine is the standard used chemotherapy for this disease, clinical outcomes do not reflect significant improvements, not even when combined with adjuvant treatments. There is an urgent need for prognosis markers to be found. The aim of this study was to analyze the potential value of serum cytokines to find a profile that can predict the clinical outcome in patients with pancreatic cancer and to establish a practical prognosis index that significantly predicts patients’ outcomes. We have conducted an extensive analysis of serum prognosis biomarkers using an antibody array comprising 507 human cytokines. Overall survival was estimated using the Kaplan-Meier method. Univariate and multivariate Cox’s proportional hazard models were used to analyze prognosis factors. To determine the extent that survival could be predicted based on this index, we used the leave-one-out cross-validation model. The multivariate model showed a better performance and it could represent a novel panel of serum cytokines that correlates to poor prognosis in pancreatic cancer. B7-1/CD80, EG-VEGF/PK1, IL-29, NRG1-beta1/HRG1-beta1, and PD-ECGF expressions portend a poor prognosis for patients with pancreatic cancer and these cytokines could represent novel therapeutic targets for this disease.

Comprehensive Analysis of Cancer-Proteogenome to Identify Biomarkers for the Early Diagnosis and Prognosis of Cancer

Directory of Open Access Journals (Sweden)

Hem D. Shukla

2017-10-01

Full Text Available During the past century, our understanding of cancer diagnosis and treatment has been based on a monogenic approach, and as a consequence our knowledge of the clinical genetic underpinnings of cancer is incomplete. Since the completion of the human genome in 2003, it has steered us into therapeutic target discovery, enabling us to mine the genome using cutting edge proteogenomics tools. A number of novel and promising cancer targets have emerged from the genome project for diagnostics, therapeutics, and prognostic markers, which are being used to monitor response to cancer treatment. The heterogeneous nature of cancer has hindered progress in understanding the underlying mechanisms that lead to abnormal cellular growth. Since, the start of The Cancer Genome Atlas (TCGA, and the International Genome consortium projects, there has been tremendous progress in genome sequencing and immense numbers of cancer genomes have been completed, and this approach has transformed our understanding of the diagnosis and treatment of different types of cancers. By employing Genomics and proteomics technologies, an immense amount of genomic data is being generated on clinical tumors, which has transformed the cancer landscape and has the potential to transform cancer diagnosis and prognosis. A complete molecular view of the cancer landscape is necessary for understanding the underlying mechanisms of cancer initiation to improve diagnosis and prognosis, which ultimately will lead to personalized treatment. Interestingly, cancer proteome analysis has also allowed us to identify biomarkers to monitor drug and radiation resistance in patients undergoing cancer treatment. Further, TCGA-funded studies have allowed for the genomic and transcriptomic characterization of targeted cancers, this analysis aiding the development of targeted therapies for highly lethal malignancy. High-throughput technologies, such as complete proteome, epigenome, protein–protein interaction

Radiotherapy in breast cancer and its prognosis

International Nuclear Information System (INIS)

Mitter, Mihir

1980-01-01

Various aspects of breast cancer are discussed. These include clinical staging, histological grading, site of growth, frequency and lactation, immunological response and prognosis, and survival of untreated cases. Importance of early detection is emphasised and prognosis after radiotherapy alone or in combination with surgery is briefly discussed. (M.G.B.)

Prognosis following cancer surgery during holiday periods.

Science.gov (United States)

Lagergren, Jesper; Mattsson, Fredrik; Lagergren, Pernilla

2017-11-15

Surgery is the mainstay curative treatment in most cancer. We aimed to test the new hypothesis that cancer surgery performed during holiday periods is associated with worse long-term prognosis than for non-holiday periods. This nationwide Swedish population-based cohort study included 228,927 patients during 1997-2014 who underwent elective resectional surgery for a cancer where the annual number of resections was over 100. The 16 eligible cancer sites were grouped into 10 cancer groups. The exposure, holiday periods, was classified as wide (14-weeks) or narrow (7-weeks). Surgery conducted inside versus outside holiday periods was compared regarding overall disease-specific (main outcome) and overall all-cause (secondary outcome) mortality. Cox regression provided hazard ratios (HR) with 95% confidence intervals (CI) adjusted for age, sex, comorbidity, hospital volume, calendar period and tumor stage. Surgery conducted during wide and narrow holiday periods were associated with increased HRs of disease-specific mortality for cancer of the breast (HR 1.08, 95% CI 1.03-1.13 and HR 1.06, 95% CI 1.01-1.12) and possibly of cancer of the liver-pancreas-bile ducts (HR 1.09, 95% CI 0.99-1.20 and HR 1.12, 95% CI 0.99-1.26). Sub-groups with cancer of the colon-rectum, head-and-neck, prostate, kidney-urine bladder and thyroid also experienced statistically significantly worse prognosis following surgery conducted during holiday periods. No influence of surgery during holiday was detected for cancer of the esophagus-stomach, lung or ovary-uterus. All-cause HRs were similar to the disease-specific HRs. The prognosis following cancer surgery might not be fully maintained during holiday periods for all cancer sites. © 2017 UICC.

The application of microRNAs in cancer diagnostics

DEFF Research Database (Denmark)

Sørensen, Karina Dalsgaard; Ostenfeld, Marie Stampe; Kristensen, Helle

2012-01-01

hallmark of human cancer. Furthermore, miRNAs have been found to be a new class of promising cancer biomarkers with potential to improve the accuracy of diagnosis and prognosis in several hematologic and solid malignancies, as well as to predict response to specific treatments. Recent studies have......MicroRNAs (miRNAs) play important biological roles in cancer development and progression. During the past decade, widespread use of novel high-throughput technologies for miRNA profiling (e.g., microarrays and next-generation sequencing) has revealed deregulation of miRNA expression as a common...... identified exosome-associated tumor-derived miRNAs in, e.g., blood samples from cancer patients, suggesting that miRNAs may be useful as circulation biomarkers for noninvasive diagnostic testing. In this chapter, we review the current state of development of miRNAs as cancer biomarkers with examples from...

Endometrial cancer, types, prognosis, female hormones and antihormones

DEFF Research Database (Denmark)

Ulrich, L S G

2011-01-01

. Prognosis is also dependent on tumor differentiation and stage, and treatment should be adjusted accordingly. In this paper, the different types of endometrial cancer, staging, prognosis, diagnosis, prevention, treatment and their relationship to estrogen and other female hormones are reviewed....

Using data mining techniques for diagnosis and prognosis of cancer disease

OpenAIRE

Kharya, Shweta

2012-01-01

Breast cancer is one of the leading cancers for women in developed countries including India. It is the second most common cause of cancer death in women. The high incidence of breast cancer in women has increased significantly in the last years. In this paper we have discussed various data mining approaches that have been utilized for breast cancer diagnosis and prognosis. Breast Cancer Diagnosis is distinguishing of benign from malignant breast lumps and Breast Cancer Prognosis predicts whe...

Optimizing prognosis-related key miRNA-target interactions responsible for cancer metastasis.

Science.gov (United States)

Zhao, Hongying; Yuan, Huating; Hu, Jing; Xu, Chaohan; Liao, Gaoming; Yin, Wenkang; Xu, Liwen; Wang, Li; Zhang, Xinxin; Shi, Aiai; Li, Jing; Xiao, Yun

2017-12-12

Increasing evidence suggests that the abnormality of microRNAs (miRNAs) and their downstream targets is frequently implicated in the pathogenesis of human cancers, however, the clinical benefit of causal miRNA-target interactions has been seldom studied. Here, we proposed a computational method to optimize prognosis-related key miRNA-target interactions by combining transcriptome and clinical data from thousands of TCGA tumors across 16 cancer types. We obtained a total of 1,956 prognosis-related key miRNA-target interactions between 112 miRNAs and 1,443 their targets. Interestingly, these key target genes are specifically involved in tumor progression-related functions, such as 'cell adhesion' and 'cell migration'. Furthermore, they are most significantly correlated with 'tissue invasion and metastasis', a hallmark of metastasis, in ten distinct types of cancer through the hallmark analysis. These results implicated that the prognosis-related key miRNA-target interactions were highly associated with cancer metastasis. Finally, we observed that the combination of these key miRNA-target interactions allowed to distinguish patients with good prognosis from those with poor prognosis both in most TCGA cancer types and independent validation sets, highlighting their roles in cancer metastasis. We provided a user-friendly database named miRNATarget (freely available at http://biocc.hrbmu.edu.cn/miRNATar/), which provides an overview of the prognosis-related key miRNA-target interactions across 16 cancer types.

Providing clinicians and patients with actual prognosis: cancer in the context of competing causes of death.

Science.gov (United States)

Howlader, Nadia; Mariotto, Angela B; Woloshin, Steven; Schwartz, Lisa M

2014-11-01

To isolate progress against cancer from changes in competing causes of death, population cancer registries have traditionally reported cancer prognosis (net measures). But clinicians and cancer patients generally want to understand actual prognosis (crude measures): the chance of surviving, dying from the specific cancer and from competing causes of death in a given time period. To compare cancer and actual prognosis in the United States for four leading cancers-lung, breast, prostate, and colon-by age, comorbidity, and cancer stage and to provide templates to help patients, clinicians, and researchers understand actual prognosis. Using population-based registry data from the Surveillance, Epidemiology, and End Results (SEER) Program, we calculated cancer prognosis (relative survival) and actual prognosis (five-year overall survival and the "crude" probability of dying from cancer and competing causes) for three important prognostic determinants (age, comorbidity [Charlson-score from 2012 SEER-Medicare linkage dataset] and cancer stage at diagnosis). For younger, healthier, and earlier stage cancer patients, cancer and actual prognosis estimates were quite similar. For older and sicker patients, these prognosis estimates differed substantially. For example, the five-year overall survival for an 85-year-old patient with colorectal cancer is 54% (cancer prognosis) versus 22% (actual prognosis)-the difference reflecting the patient's substantial chance of dying from competing causes. The corresponding five-year chances of dying from the patient's cancer are 46% versus 37%. Although age and comorbidity lowered actual prognosis, stage at diagnosis was the most powerful factor: The five-year chance of colon cancer death was 10% for localized stage and 83% for distant stage. Both cancer and actual prognosis measures are important. Cancer registries should routinely report both cancer and actual prognosis to help clinicians and researchers understand the difference between

Integrative Analysis of Prognosis Data on Multiple Cancer Subtypes

Science.gov (United States)

Liu, Jin; Huang, Jian; Zhang, Yawei; Lan, Qing; Rothman, Nathaniel; Zheng, Tongzhang; Ma, Shuangge

2014-01-01

Summary In cancer research, profiling studies have been extensively conducted, searching for genes/SNPs associated with prognosis. Cancer is diverse. Examining the similarity and difference in the genetic basis of multiple subtypes of the same cancer can lead to a better understanding of their connections and distinctions. Classic meta-analysis methods analyze each subtype separately and then compare analysis results across subtypes. Integrative analysis methods, in contrast, analyze the raw data on multiple subtypes simultaneously and can outperform meta-analysis methods. In this study, prognosis data on multiple subtypes of the same cancer are analyzed. An AFT (accelerated failure time) model is adopted to describe survival. The genetic basis of multiple subtypes is described using the heterogeneity model, which allows a gene/SNP to be associated with prognosis of some subtypes but not others. A compound penalization method is developed to identify genes that contain important SNPs associated with prognosis. The proposed method has an intuitive formulation and is realized using an iterative algorithm. Asymptotic properties are rigorously established. Simulation shows that the proposed method has satisfactory performance and outperforms a penalization-based meta-analysis method and a regularized thresholding method. An NHL (non-Hodgkin lymphoma) prognosis study with SNP measurements is analyzed. Genes associated with the three major subtypes, namely DLBCL, FL, and CLL/SLL, are identified. The proposed method identifies genes that are different from alternatives and have important implications and satisfactory prediction performance. PMID:24766212

Identification of a claudin-4 and E-cadherin score to predict prognosis in breast cancer.

Science.gov (United States)

Szasz, Attila M; Nemeth, Zsuzsanna; Gyorffy, Balazs; Micsinai, Mariann; Krenacs, Tibor; Baranyai, Zsolt; Harsanyi, Laszlo; Kiss, Andras; Schaff, Zsuzsa; Tokes, Anna-Maria; Kulka, Janina

2011-12-01

The elevated expression of claudins (CLDN) and E-cadherin (CDH-1) was found to correlate with poor prognostic features. Our aim was to perform a comprehensive analysis to assess their potential to predict prognosis in breast cancer. The expression of CLDN-1, -3-5, -7, -8, -10, -15, -18, and E-cadherin at the mRNA level was evaluated in correlation with survival in datasets containing expression measurements of 1809 breast cancer patients. The breast cancer tissues of 197 patients were evaluated with tissue microarray technique and immunohistochemical method for CLDN-1-5, -7, and E-cadherin protein expression. An additional validation set of 387 patients was used to test the accuracy of the resulting prognostic score. Based on the bioinformatic screening of publicly-available datasets, the metagene of CLDN-3, -4, -7, and E-cadherin was shown to have the most powerful predictive power in the survival analyses. An immunohistochemical protein profile consisting of CLDN-2, -4, and E-cadherin was able to predict outcome in the most effective manner in the training set. Combining the overlapping members of the above two methods resulted in the claudin-4 and E-cadherin score (CURIO), which was able to accurately predict relapse-free survival in the validation cohort (P = 0.029). The multivariate analysis, including clinicopathological variables and the CURIO, showed that the latter kept its predictive power (P = 0.040). Furthermore, the CURIO was able to further refine prognosis, separating good versus poor prognosis subgroups in luminal A, luminal B, and triple-negative breast cancer intrinsic subtypes. In breast cancer, the CURIO provides additional prognostic information besides the routinely utilized diagnostic approaches and factors. © 2011 Japanese Cancer Association.

Immunoability and prognosis in the patients after radiotherapy

International Nuclear Information System (INIS)

Sako, Takashi; Sakurai, Tomoyasu; Nishio, Masamichi; Saito, Akio; Koshiba, Ryuzo.

1978-01-01

About two weeks after radiotherapy, PPD intracutaneous reaction (0.05 mg of general diagnostic tuberculin was used) was examined. The peripheral lymphocyte count and the immunoglobulin value were also measured in order to study the correlation between these results and the prognosis. Subjects were 359 patients with malignant tumors and 20 patients with double cancer. All the patients, in whom PPD reaction was positive, tended to show the good prognosis except for the patients with pulmonary cancer. The positive rate decreased according to an advance of the stage of uterine cancer. Fourteen of the 17 patients, in whom the peripheral lymphocyte count could be observed when PPD reaction turned out negative, showed the decrease of the lymphocyte count less than 20%. The patients, in whom no correlation was found and the lymphocyte count did not decrease showed the better prognosis than the patients with positive PPD. Poor prognosis was found in the patients, in whom IgG and IgA values were abnormally high, without regard to positive or negative PPD. IgM value had no correlation, but the poor prognosis was more frequently observed in the patients with abnormal low IgM value. In the patients with double cancer no specificity was found in the type of diseases and the doubled pattern, and PPD positive rate significantly increased in the patients with good prognosis. (Kanao, N.)

Long-term prognosis of young breast cancer patients (

NARCIS (Netherlands)

G.M.H.E. Dackus (Gwen); N.D. ter Hoeve (Natalie); M. Opdam (Mark); W. Vreuls (Willem); Z. Varga (Zsuzsanna); E. Koop (Esther); S.M. Willems (Stefan Martin); C.H.M. van Deurzen (Carolien); E.J. Groen (Emilie); A. Cordoba (Alicia); J. Bart (Jos); A.L. Mooyaart (Antien); J.G. van den Tweel (Jan); V. Zolota (Vicky); J. Wesseling (Jelle); A. Sapino (Anna); E. Chmielik (Ewa); A. Ryska (Ales); F. Amant (Frédéric); A. Broeks (Annegien); R.M. Kerkhoven (Ron); N. Stathonikos (Nikolas); M. Veta (Mitko); A.C. Voogd (Adri); K. Jóźwiak (Katarzyna); M. Hauptmann (Michael); M. Hoogstraat (Marlous); M.K. Schmidt (Marjanka); G.S. Sonke (Gabe); E. van der Wall (Elsken); S. Siesling (Sabine); P.J. van Diest (Paul); S.C. Linn (Sabine)

2017-01-01

markdownabstract__Introduction__ Currently used tools for breast cancer prognostication and prediction may not adequately reflect a young patient’s prognosis or likely treatment benefit because they were not adequately validated in young patients. Since breast cancers diagnosed at a young age are

Biomarkers of the Metabolic Syndrome and Breast Cancer Prognosis

International Nuclear Information System (INIS)

Zhu, Qiu-Li; Xu, Wang-Hong; Tao, Meng-Hua

2010-01-01

In spite of its public health importance, our understanding of the mechanisms of breast carcinogenesis and progress is still evolving. The metabolic syndrome (MS) is a constellation of biochemical abnormalities including visceral adiposity, hyperglycemia, hyperinsulinemia, dyslipidemia and high blood pressure. The components of the MS have all been related to late-stage disease and even to a poor prognosis of breast cancer through multiple interacting mechanisms. In this review, we aim to present a summary of recent advances in the understanding of the contribution of the MS to breast cancer with the emphasis on the role of biomarkers of the MS in the prognosis of breast cancer

Biomarkers of the Metabolic Syndrome and Breast Cancer Prognosis

Energy Technology Data Exchange (ETDEWEB)

Zhu, Qiu-Li; Xu, Wang-Hong [Department of Epidemiology, School of Public Health, Fudan University, Shanghai 200032 (China); Tao, Meng-Hua [Department of Social and Preventive Medicine, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY 14214 (United States)

2010-04-28

In spite of its public health importance, our understanding of the mechanisms of breast carcinogenesis and progress is still evolving. The metabolic syndrome (MS) is a constellation of biochemical abnormalities including visceral adiposity, hyperglycemia, hyperinsulinemia, dyslipidemia and high blood pressure. The components of the MS have all been related to late-stage disease and even to a poor prognosis of breast cancer through multiple interacting mechanisms. In this review, we aim to present a summary of recent advances in the understanding of the contribution of the MS to breast cancer with the emphasis on the role of biomarkers of the MS in the prognosis of breast cancer.

Clinicopathologic characteristics and prognosis of proximal and distal gastric cancer

Directory of Open Access Journals (Sweden)

Yu X

2018-02-01

Full Text Available Xuefeng Yu,1,* Fulan Hu,2,* Chunfeng Li,1 Qiang Yao,1 Hongfeng Zhang,1 Yingwei Xue1 1Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China; 2Department of Epidemiology, Public Health College, Harbin Medical University, Harbin, China *These authors contributed equally to this work Background and objectives: The dismal prognosis of gastric cancer patients is a global problem. We aim to evaluate the clinicopathologic features and prognostic factors of proximal and distal gastric cancer.Materials and methods: Gastric cancer cases diagnosed and treated at the same surgical unit between 2007 and 2010 were reviewed. Follow-up data from all patients were collected for at least 5 years until 2015. A total of 964 patients were studied (distal gastric cancer [DG], n=777 and proximal gastric cancer [PG], n=187.Results: DG patients had a relatively higher percentage of females, more thorough therapy (R0 [D0/D1/D2], fewer combined organ resections, younger age, smaller tumors (<5 cm, shorter surgery durations, less blood loss during surgery, and a relatively lower percentage of nodal metastases and a TNM stage of 4 (p<0.05. A significantly higher 5-year survival rate was observed in DG patients compared to PG patients (DG: 51%, PG: 28%; p<0.001. A multivariate analysis demonstrated that tumor size, blood loss during surgery, surgery approach of lymph node dissection, treatment with palliative surgery, histopathologic type, TNM stage, and tumor location were independent predictors of poor outcome.Conclusion: The different characteristics and prognosis of DG and PG cases have implications for the development of guiding strategies for a surgical program and assessment of prognosis of gastric cancer patients based on tumor location. Keywords: gastric cancer, tumor location, clinicopathologic features, prognosis, distal gastric cancer, proximal gastric cancer 

Delayed breast reconstruction with implants after invasive breast cancer does not impair prognosis

DEFF Research Database (Denmark)

Holmich, L.R.; During, M.; Henriksen, T.F.

2008-01-01

We investigated if delayed breast implant reconstruction after breast cancer impairs prognosis. Using data from the Danish Breast Cancer Cooperative Group register, we identified all women......We investigated if delayed breast implant reconstruction after breast cancer impairs prognosis. Using data from the Danish Breast Cancer Cooperative Group register, we identified all women...

[Computer-aided Prognosis for Breast Cancer Based on Hematoxylin & Eosin Histopathology Image].

Science.gov (United States)

Chen, Jiamei; Qu, Aiping; Liu, Wenlou; Wang, Linwei; Yuan, Jingping; Liu, Juan; Li, Yan

2016-06-01

Quantitatively analyzing hematoxylin &eosin(H&E)histopathology images is an emerging field attracting increasing attentions in recent years.This paper reviews the application of computer-aided image analysis in breast cancer prognosis.The traditional prognosis based on H&E histopathology image for breast cancer is firstly sketched,followed by a detailed description of the workflow of computer-aided prognosis including image acquisition,image preprocessing,regions of interest detection and object segmentation,feature extraction,and computer-aided prognosis.In the end,major technical challenges and future directions in this field are summarized.

Translational Bioinformatics for Diagnostic and Prognostic Prediction of Prostate Cancer in the Next-Generation Sequencing Era

Directory of Open Access Journals (Sweden)

Jiajia Chen

2013-01-01

Full Text Available The discovery of prostate cancer biomarkers has been boosted by the advent of next-generation sequencing (NGS technologies. Nevertheless, many challenges still exist in exploiting the flood of sequence data and translating them into routine diagnostics and prognosis of prostate cancer. Here we review the recent developments in prostate cancer biomarkers by high throughput sequencing technologies. We highlight some fundamental issues of translational bioinformatics and the potential use of cloud computing in NGS data processing for the improvement of prostate cancer treatment.

Clinicopathological Characteristics and Prognosis of Colorectal Cancer in Chinese Adolescent Patients.

Science.gov (United States)

Du, Feng; Shi, Su-Sheng; Sun, Yong-Kun; Wang, Jin-Wan; Chi, Yihebali

2015-12-05

Colorectal adenocarcinoma rarely occurred in adolescent. Clinical feature and prognosis of this population are not clear until now. In addition, DNA mismatch repair (MMR) status may relate to the early disease occurrence. The present study aimed to perform a retrospective analysis of adolescent patients with colorectal cancer, including clinicopathological characteristics and prognosis. The medical records of 11,503 patients diagnosed as colorectal cancer in Cancer Hospital, Chinese Academy of Medical Sciences from January 1999 to December 2009 were retrospectively reviewed. Finally, 19 patients who were between 10 and 20 years old were selected as the study group. We summarized the clinicopathological characteristics, analyzed the association with prognosis and assessed the expression of MMR protein by immunohistochemical method. The most common primary site was the right colon in 7 patients. Ten patients had Stage III colorectal cancer, 5 patients had Stage IV disease. Signet ring cell carcinoma was the most frequent pathological type (7/19). Deficient MMR was identified in 2 patients. The 5-year survival rate and median survival time were 23.2% and 26 months. Distant metastasis was identified as an independent prognostic factor (P = 0.02). Colorectal cancer in Chinese adolescents was very rare. The chinese adolecents with colorectal cancer were frequently diagnosed in the right colon, as Stage III/IV disease with signet ring cell carcinoma. The prognosis was relatively poor.

Development and validation of risk models and molecular diagnostics to permit personalized management of cancer.

Science.gov (United States)

Pu, Xia; Ye, Yuanqing; Wu, Xifeng

2014-01-01

Despite the advances made in cancer management over the past few decades, improvements in cancer diagnosis and prognosis are still poor, highlighting the need for individualized strategies. Toward this goal, risk prediction models and molecular diagnostic tools have been developed, tailoring each step of risk assessment from diagnosis to treatment and clinical outcomes based on the individual's clinical, epidemiological, and molecular profiles. These approaches hold increasing promise for delivering a new paradigm to maximize the efficiency of cancer surveillance and efficacy of treatment. However, they require stringent study design, methodology development, comprehensive assessment of biomarkers and risk factors, and extensive validation to ensure their overall usefulness for clinical translation. In the current study, the authors conducted a systematic review using breast cancer as an example and provide general guidelines for risk prediction models and molecular diagnostic tools, including development, assessment, and validation. © 2013 American Cancer Society.

Risk Factors for Breast Cancer and Its Prognosis

National Research Council Canada - National Science Library

Melbye, Mads

2000-01-01

This project investigated the influence of reproductive history on risk of breast cancer and its prognosis by taking advantage of very large linkages between population-based health and demographic registries in Denmark...

Circulating tumour DNA methylation markers for diagnosis and prognosis of hepatocellular carcinoma

Science.gov (United States)

Xu, Rui-Hua; Wei, Wei; Krawczyk, Michal; Wang, Wenqiu; Luo, Huiyan; Flagg, Ken; Yi, Shaohua; Shi, William; Quan, Qingli; Li, Kang; Zheng, Lianghong; Zhang, Heng; Caughey, Bennett A.; Zhao, Qi; Hou, Jiayi; Zhang, Runze; Xu, Yanxin; Cai, Huimin; Li, Gen; Hou, Rui; Zhong, Zheng; Lin, Danni; Fu, Xin; Zhu, Jie; Duan, Yaou; Yu, Meixing; Ying, Binwu; Zhang, Wengeng; Wang, Juan; Zhang, Edward; Zhang, Charlotte; Li, Oulan; Guo, Rongping; Carter, Hannah; Zhu, Jian-Kang; Hao, Xiaoke; Zhang, Kang

2017-11-01

An effective blood-based method for the diagnosis and prognosis of hepatocellular carcinoma (HCC) has not yet been developed. Circulating tumour DNA (ctDNA) carrying cancer-specific genetic and epigenetic aberrations may enable a noninvasive `liquid biopsy' for diagnosis and monitoring of cancer. Here, we identified an HCC-specific methylation marker panel by comparing HCC tissue and normal blood leukocytes and showed that methylation profiles of HCC tumour DNA and matched plasma ctDNA are highly correlated. Using cfDNA samples from a large cohort of 1,098 HCC patients and 835 normal controls, we constructed a diagnostic prediction model that showed high diagnostic specificity and sensitivity (P < 0.001) and was highly correlated with tumour burden, treatment response, and stage. Additionally, we constructed a prognostic prediction model that effectively predicted prognosis and survival (P < 0.001). Together, these findings demonstrate in a large clinical cohort the utility of ctDNA methylation markers in the diagnosis, surveillance, and prognosis of HCC.

The Progress of T Cell Immunity Related to Prognosis in Gastric Cancer.

Science.gov (United States)

Wei, Ming; Shen, Duo; Mulmi Shrestha, Sachin; Liu, Juan; Zhang, Junyi; Yin, Ying

2018-01-01

Gastric cancer is the fifth most common malignancy all over the world, and the factors that can affect progress and prognosis of the gastric cancer patients are various, such as TNM stages, invasive depth, and lymph node metastasis ratio. T cell immunity is important component of human immunity system and immunity responding to tumor and dysfunction or imbalance of T cell immunity will lead to serious outcomes for body. T cell immunity includes many different types of cells, CD4+ T cell, CD8+ T cell, memory cell, and so on, and each of them has special function on antitumor response or tumor immune escape which is revealed in lung cancer, colorectal cancer, breast cancer, ovarian cancer, and so on. But its correlation with gastric cancer is not clear. Our review was preformed to explore the relationship between the progress and prognosis of gastric cancer (GC) and T cell immunity. According to recent researches, T cell immunity may have an important role in the progress and prognosis of GCs, but its function is affected by location, category, related molecule, and interaction between the cells, and some effects still are controversial. More researches are needed to clarify this correlation.

DIAGNOSTIC AND PROGNOSTIC UTILITY OF SERUM PSA IN BREAST CANCER

Institute of Scientific and Technical Information of China (English)

张淑群; 强水云; 李妙羡; 纪宗正

2004-01-01

Objective To investigate the diagnostic and prognostic value of total and free prostate-specific antigen (PSA) in breast cancer women. Methods Using the microparticle enzyme immunoassay system, we measured the concentrations of these markers in the sera of 85 women with breast cancer and in 30 healthy women.Results Free PSA levels were significantly higher in women with breast cancer than healthy women (P ＜0. 05 ).The percentage of free PSA predominant subjects was 37. 6% in breast cancer patients and 3. 3% in healthy women.In women with breast cancer,total PSA positivity was 23.5% and free PSA positivity was 27. 1%. When compared to negatives,total PSA positive patients had a higher percentage of lymph node involvement tamours ( P ＞0. 05).However, patients with predominant free PSA had a higher percentage of early stage than patients with predominant PSA-ACT. Conclusion This study indicate clinical significance of preoperative measurement of serum total and free PSA in diagnosis and prognosis of women with breast cancer. The expression of KLKs is correlated with carcinogenesis of breast cancer.

Lifestyle influences on the association between pre-diagnostic hormone replacement therapy and breast cancer prognosis - results from The Danish 'Diet, Cancer and Health' prospective cohort

DEFF Research Database (Denmark)

Holm, Marianne; Olsen, Anja; Kroman, Niels

2014-01-01

OBJECTIVES: The association between pre-diagnostic hormone replacement therapy (HRT) and breast cancer specific mortality as well as potential influences from other lifestyle factors on the association was investigated. STUDY DESIGN: Female participants from the prospective cohort "Diet, Cancer......, and Health" diagnosed with breast cancer (BC) were identified and their pre-diagnostic HRT use evaluated for association with tumour biology and breast cancer outcome in multivariate analysis. MAIN OUTCOME MEASURE: Breast cancer specific mortality. RESULTS: Of the 1212 patients originally considered 1064...... were included. Of these, 105 women died from breast cancer during a median follow-up of 6.3 years (range 0.2-14.3 years). In multivariate analyses women who used HRT at enrolment into the cohort study had 47% lower risk of dying from breast cancer as compared to women who had previously or never used...

Low expression of a few genes indicates good prognosis in estrogen receptor positive breast cancer

Directory of Open Access Journals (Sweden)

Buechler Steven

2009-07-01

Full Text Available Abstract Background Many breast cancer patients remain free of distant metastasis even without adjuvant chemotherapy. While standard histopathological tests fail to identify these good prognosis patients with adequate precision, analyses of gene expression patterns in primary tumors have resulted in more successful diagnostic tests. These tests use continuous measurements of the mRNA concentrations of numerous genes to determine a risk of metastasis in lymph node negative breast cancer patients with other clinical traits. Methods A survival model is constructed from genes that are both connected with relapse and have expression patterns that define distinct subtypes, suggestive of different cellular states. This in silico study uses publicly available microarray databases generated with Affymetrix GeneChip technology. The genes in our model, as represented by array probes, have distinctive distributions in a patient cohort, consisting of a large normal component of low expression values; and a long right tail of high expression values. The cutoff between low and high expression of a probe is determined from the distribution using the theory of mixture models. The good prognosis group in our model consists of the samples in the low expression component of multiple genes. Results Here, we define a novel test for risk of metastasis in estrogen receptor positive (ER+ breast cancer patients, using four probes that determine distinct subtypes. The good prognosis group in this test, denoted AP4-, consists of the samples with low expression of each of the four probes. Two probes target MKI67, antigen identified by monoclonal antibody Ki-67, one targets CDC6, cell division cycle 6 homolog (S. cerevisiae, and a fourth targets SPAG5, sperm associated antigen 5. The long-term metastasis-free survival probability for samples in AP4- is sufficiently high to render chemotherapy of questionable benefit. Conclusion A breast cancer subtype defined by low

Disparities in prognosis communication among parents of children with cancer: The impact of race and ethnicity.

Science.gov (United States)

Ilowite, Maya F; Cronin, Angel M; Kang, Tammy I; Mack, Jennifer W

2017-10-15

Most parents of children with cancer say they want detailed information about their child's prognosis. However, prior work has been conducted in populations of limited diversity. The authors sought to evaluate the impact of parental race/ethnicity on prognosis communication experiences among parents of children with cancer. In total, 357 parents of children with cancer and the children's physicians were surveyed at Dana-Farber Cancer Institute/Boston Children's Hospital and Children's Hospital of Philadelphia. Outcome measures were parental preferences for prognostic information, physician beliefs about parental preferences, prognosis communication processes, and communication outcomes. Associations were assessed by logistic regression with generalized estimating equations to correct for physician clustering. Two hundred eighty-one parents (79%) were white, 23 (6%) were black, 29 (8%) were Hispanic, and 24 (7%) were Asian/other. Eighty-seven percent of parents wanted as much detail as possible about their child's prognosis, with no significant differences by race/ethnicity (P = .75). However, physician beliefs about parental preferences for prognosis communication varied based on parent race/ethnicity, with physicians considering black and Hispanic parents less interested in details about prognosis than whites (P = .003). Accurate understanding of a less favorable prognosis was greater among white (49%) versus nonwhite parents (range, 20%-29%), although this difference was not statistically significant (P = .14). Most parents, regardless of racial and ethnic background, want detailed prognostic information about their child's cancer. However, physicians underestimate the information needs of black and Hispanic parents. To meet parents' information needs, physicians should ask about parents' information preferences before prognosis discussions. Cancer 2017;123:3995-4003. © 2017 American Cancer Society. © 2017 American Cancer Society.

Evolutionary Origins of Cancer Driver Genes and Implications for Cancer Prognosis.

Science.gov (United States)

Chu, Xin-Yi; Jiang, Ling-Han; Zhou, Xiong-Hui; Cui, Ze-Jia; Zhang, Hong-Yu

2017-07-14

The cancer atavistic theory suggests that carcinogenesis is a reverse evolution process. It is thus of great interest to explore the evolutionary origins of cancer driver genes and the relevant mechanisms underlying the carcinogenesis. Moreover, the evolutionary features of cancer driver genes could be helpful in selecting cancer biomarkers from high-throughput data. In this study, through analyzing the cancer endogenous molecular networks, we revealed that the subnetwork originating from eukaryota could control the unlimited proliferation of cancer cells, and the subnetwork originating from eumetazoa could recapitulate the other hallmarks of cancer. In addition, investigations based on multiple datasets revealed that cancer driver genes were enriched in genes originating from eukaryota, opisthokonta, and eumetazoa. These results have important implications for enhancing the robustness of cancer prognosis models through selecting the gene signatures by the gene age information.

Clinicopathological features and prognosis of gastric cancer in young patients

International Nuclear Information System (INIS)

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

2016-01-01

The clinicopathological features and prognosis of gastric cancer in young patients are both limited and controversial. Therefore, the aim of this study was to define the clinicopathological features and prognosis of gastric cancer in young patients after curative resection. From May 2008 to December 2014, 198 young patients (age ≤ 40 years) and 1096 middle-aged patients (55 ≤ age ≤ 64 years) were enrolled in this study. The clinicopathological features and prognosis of gastric cancer in these patients were analyzed. Compared with middle-aged patients, the proportion of females, lower third tumors, tumor size less than 5 cm, poorly differentiated tumors and T1 tumors were significantly higher in young patients (all P < 0.05). The proportions of comorbidity, upper third tumors, well and moderately differentiated tumors, T4 tumors, and positive carcinoembryonic antigen (CEA), alpha fetoprotein (AFP) and carbohydrate antigen (CA) 19–9 were significantly lower in young patients (all P < 0.05). The distributions of N status and CA125 were comparable between young and middle-aged patients (all P > 0.05). The five-year overall survival rates were comparable between young patients and middle-aged patients (62.8 vs 54.7 %, P = 0.307). The tumor location, T status, N status and CA125 were independent predictors of prognosis in young patients. The overall survival of patients with tumors located in the upper or middle third was significantly lower than for those located in the lower third (60.8 vs 50.6 % vs 68.4 %, P = 0.016). The overall survival of CA125-positive patients was significantly lower than CA125-negative patients (49.0 vs 64.4 %, P = 0.001). The clinicopathological features were significantly different between young and middle-aged patients. The prognosis of gastric cancer in young patients was equivalent to that of middle-aged patients. Tumor location, T status, N status and CA125 were independent risk factors for prognosis in young patients. The online

[Breast cancer: histological prognosis from biopsy material].

Science.gov (United States)

Veith, F; Picco, C

1977-01-01

Two histological factors to be taken into consideration for prognosis in pretreatment schedules of breast cancer have been studied on a group of 352 cases treated by non-mutilating therapeutics at the Fondation Curie between 1960 and 1970. The tumour material the slides of which we have reexamined "blindly", i.e. ignoring the evolution of the case had been obtained mostly by drill-biopsy. Histological groups and types have been determined following an analytical classification for computer purpose. The degree of malignancy was calculated with the method of Scarff-Bloom-Richardson. The analyzed data have been memorized on computer and then confronted with the elements of the T.N.M. classification and the survival of the patients involved. It appeared that if drill-biopsie have been performed correctly the histological type may be defined in eighty percent of cases. And it is likewise possible to calculate the histological grade of malignancy for each mammary cancer. With such a material the value for prognosis by means of the Scarff-Bloom-Richardson method still remains if applied only to adenocarcinoma of the "common infiltrating type".

Clonal Evaluation of Prostate Cancer by ERG/SPINK1 Status to Improve Prognosis Prediction

Science.gov (United States)

2017-12-01

19 NIH Exploiting drivers of androgen receptor signaling negative prostate cancer for precision medicine Goal(s): Identify novel potential drivers...AWARD NUMBER: W81XWH-14-1-0466 TITLE: Clonal evaluation of prostate cancer by ERG/SPINK1 status to improve prognosis prediction PRINCIPAL...Sept 2017 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Clonal Evaluation of Prostate Cancer by ERG/SPINK1 Status to Improve Prognosis Prediction 5b

Adult Liver Cancer Symptoms, Tests, Prognosis, and Stages (PDQ®)—Patient Version

Science.gov (United States)

Hepatocellular carcinoma is the most common type of adult primary liver cancer. The Barcelona Clinical Liver Cancer (BCLC) Staging System is used to stage liver cancer. Learn more about risk factors, signs and symptoms, tests to diagnose, prognosis, and stages of adult primary liver cancer.

Clinicopathological Characteristics and Prognosis of Colorectal Cancer in Chinese Adolescent Patients

Directory of Open Access Journals (Sweden)

Feng Du

2015-01-01

Conclusions: Colorectal cancer in Chinese adolescents was very rare. The chinese adolecents with colorectal cancer were frequently diagnosed in the right colon, as Stage III/IV disease with signet ring cell carcinoma. The prognosis was relatively poor.

Computer-aided prognosis on breast cancer with hematoxylin and eosin histopathology images: A review.

Science.gov (United States)

Chen, Jia-Mei; Li, Yan; Xu, Jun; Gong, Lei; Wang, Lin-Wei; Liu, Wen-Lou; Liu, Juan

2017-03-01

With the advance of digital pathology, image analysis has begun to show its advantages in information analysis of hematoxylin and eosin histopathology images. Generally, histological features in hematoxylin and eosin images are measured to evaluate tumor grade and prognosis for breast cancer. This review summarized recent works in image analysis of hematoxylin and eosin histopathology images for breast cancer prognosis. First, prognostic factors for breast cancer based on hematoxylin and eosin histopathology images were summarized. Then, usual procedures of image analysis for breast cancer prognosis were systematically reviewed, including image acquisition, image preprocessing, image detection and segmentation, and feature extraction. Finally, the prognostic value of image features and image feature-based prognostic models was evaluated. Moreover, we discussed the issues of current analysis, and some directions for future research.

Checkpoint Kinase 1 Expression Predicts Poor Prognosis in Nigerian Breast Cancer Patients.

Science.gov (United States)

Ebili, Henry Okuchukwu; Iyawe, Victoria O; Adeleke, Kikelomo Rachel; Salami, Babatunde Abayomi; Banjo, Adekunbiola Aina; Nolan, Chris; Rakha, Emad; Ellis, Ian; Green, Andrew; Agboola, Ayodeji Olayinka Johnson

2018-02-01

Checkpoint kinase 1 (CHEK1), a DNA damage sensor and cell death pathway stimulator, is regarded as an oncogene in tumours, where its activities are considered essential for tumourigenesis and the survival of cancer cells treated with chemotherapy and radiotherapy. In breast cancer, CHEK1 expression has been associated with an aggressive tumour phenotype, the triple-negative breast cancer subtype, an aberrant response to tamoxifen, and poor prognosis. However, the relevance of CHEK1 expression has, hitherto, not been investigated in an indigenous African population. We therefore aimed to investigate the clinicopathological, biological, and prognostic significance of CHEK1 expression in a cohort of Nigerian breast cancer cases. Tissue microarrays of 207 Nigerian breast cancer cases were tested for CHEK1 expression using immunohistochemistry. The clinicopathological, molecular, and prognostic characteristics of CHEK1-positive tumours were determined using the Chi-squared test and Kaplan-Meier and Cox regression analyses in SPSS Version 16. Nuclear expression of CHEK1 was present in 61% of breast tumours and was associated with tumour size, triple-negative cancer, basal-like phenotype, the epithelial-mesenchymal transition, p53 over-expression, DNA homologous repair pathway dysfunction, and poor prognosis. The rate expression of CHEK1 is high in Nigerian breast cancer cases and is associated with an aggressive phenotype and poor prognosis.

The epigenetics of prostate cancer diagnosis and prognosis: update on clinical applications.

Science.gov (United States)

Blute, Michael L; Damaschke, Nathan A; Jarrard, David F

2015-01-01

There is a major deficit in our ability to detect and predict the clinical behavior of prostate cancer (PCa). Epigenetic changes are associated with PCa development and progression. This review will focus on recent results in the clinical application of diagnostic and prognostic epigenetic markers. The development of high throughput technology has seen an enormous increase in the discovery of new markers that encompass epigenetic changes including those in DNA methylation and histone modifications. Application of these findings to urine and other biofluids, but also cancer and noncancerous prostate tissue, has resulted in new biomarkers. There has been a recent commercial development of a DNA methylation-based assay for identifying PCa risk from normal biopsy tissue. Other biomarkers are currently in the validation phase and encompass combinations of multiple genes. Epigenetic changes improve the specificity and sensitivity of PCa diagnosis and have the potential to help determine clinical prognosis. Additional studies will not only provide new and better biomarker candidates, but also have the potential to inform new therapeutic strategies given the reversibility of these processes.

Implications of microRNAs in Colorectal Cancer Development, Diagnosis, Prognosis and Therapeutics

Directory of Open Access Journals (Sweden)

Haiyan eZhai

2011-11-01

Full Text Available MicroRNAs (miRNAs are a class of non-coding small RNAs with critical regulatory functions as post-transcriptional regulators. Due to the fundamental importance and broad impact of miRNAs on multiple genes and pathways, dysregulated miRNAs have been associated with human diseases, including cancer. Colorectal cancer (CRC is among the most deadly diseases, and miRNAs offer a new frontier for target discovery and novel biomarkers for both diagnosis and prognosis. In this review, we summarize the recent advancement of miRNA research in CRC, in particular, the roles of miRNAs in colorectal cancer stem cells, EMT, chemoresistance, therapeutics, diagnosis and prognosis.

Breast carcinoma - diagnostics, therapy and resistance

International Nuclear Information System (INIS)

Kuzma-Richert, A.; Saczko, J.; Kulbacka, J.

2011-01-01

Breast cancer is a pathologically and clinically heterogeneous disease with a variable prognosis. This type of cancer is the most common female cancer in Poland. According to data collected up to 2004, approximately 12,000 new breast cancer cases per year were diagnosed in women in Poland, and approximately 5000 patients died yearly of breast cancer. The authors present the histopathology, diagnostics, classification and general types of systemic therapy of breast cancer. (authors)

Diagnostic radiation and its prognosis of pineal region tumor

International Nuclear Information System (INIS)

Momose, Toshimitsu; Aoki, Yukimasa; Akanuma, Atsuo; Machida, Tohru; Iio, Masahiro; Takakura, Kimitomo

1984-01-01

20 Gy of local irradiation was performed for the patients with pineal region tumor. We evaluated the tumor volume on X-CT in the pre-radiation and 20 Gy of post-radiation state. If tumor is sensitive enough to radiation therapy, we add 40 Gy of whole brain and 30 to 40 Gy of whole spine irradiation. If not, we transfer patients to neurosurgeons for the purpose of tumor ressection. We call this procedure ''Diagnostic Radiation.'' We proposed the concept of TRR (Tumor Regression Ratio) in order to evaluate our protocol more objctively. TRR is as follows: TRR (%) = [1-Total Tumor Volume (at each dose) / Total Tumor Volume (at o Gy)] x 100 (%) Total Tumor Volume(mm 3 ) = slice thickness(mm) x siguma HDA (mm 2 ) on each slice: where HDA is high density area on enhanced CT. Eleven patients were studied and TRR of each patients was calculated. The relations between TRR, tumor markers, CSF seeding and prognoiss was discussed. From our study, (1) TRR at 20Gy was important and might predict approximate prognosis of each cae case. A) TRR = 100 → very good B) TRR < 20 → poor C) 20 <= TRR < 100 → high possibility (2) Majority of TRR < 100 cases have turned out to be histologically in teratoma category. (3) Good correlation between the level of tumor markers and prognosis was observed. Cases with elevated level of AFP and/or HCG were radio- resistant and had poor prognosis. (4) Distant metastasis must also be kept in mind in the treatment of pineal region tumor. (author)

Model Comparison for Breast Cancer Prognosis Based on Clinical Data.

Directory of Open Access Journals (Sweden)

Sabri Boughorbel

Full Text Available We compared the performance of several prediction techniques for breast cancer prognosis, based on AU-ROC performance (Area Under ROC for different prognosis periods. The analyzed dataset contained 1,981 patients and from an initial 25 variables, the 11 most common clinical predictors were retained. We compared eight models from a wide spectrum of predictive models, namely; Generalized Linear Model (GLM, GLM-Net, Partial Least Square (PLS, Support Vector Machines (SVM, Random Forests (RF, Neural Networks, k-Nearest Neighbors (k-NN and Boosted Trees. In order to compare these models, paired t-test was applied on the model performance differences obtained from data resampling. Random Forests, Boosted Trees, Partial Least Square and GLMNet have superior overall performance, however they are only slightly higher than the other models. The comparative analysis also allowed us to define a relative variable importance as the average of variable importance from the different models. Two sets of variables are identified from this analysis. The first includes number of positive lymph nodes, tumor size, cancer grade and estrogen receptor, all has an important influence on model predictability. The second set incudes variables related to histological parameters and treatment types. The short term vs long term contribution of the clinical variables are also analyzed from the comparative models. From the various cancer treatment plans, the combination of Chemo/Radio therapy leads to the largest impact on cancer prognosis.

Diagnosis and prognosis of primary breast cancer

International Nuclear Information System (INIS)

Robertson, J. F. R.; Evans, A. J.

1997-01-01

The diagnosis of breast cancer should be made in the context of a multidisciplinary team: preoperative diagnosis can be made in over 90 % of patients with symptomatic and screen-detected cancers. A preoperative diagnosis allows patients the opportunity to come to terms with the diagnosis of breast cancer and to consider their treatment options before progressing to therapeutic surgery. Surgery remains the primary therapeutic treatment for operable breast cancer with radiotherapy and systemic therapies as adjuvant treatments. Surgery in addition provides pathological specimens from which important prognostic information may be obtained. The traditional TNM classification in itself is no longer sufficient although there is still c considerable prognostic information to be gained in staging patients. Markers of tumour biology provide prognostic data independent of TNM staging. Both need to be considered in any overall assessment of patient prognosis

The role of metallothionein in oncogenesis and cancer prognosis

DEFF Research Database (Denmark)

Pedersen, Mie Ø; Larsen, Agnete; Stoltenberg, Meredin

2009-01-01

in various human cancers; such as breast, kidney, lung, nasopharynx, ovary, prostate, salivary gland, testes, urinary bladder, cervical, endometrial, skin carcinoma, melanoma, acute lymphoblastic leukemia (ALL), and pancreatic cancers, where MT-I+II expression is sometimes correlated to higher tumor grade....../stage, chemotherapy/radiation resistance, and poor prognosis. However, MT-I+II are downregulated in other types of tumors (e.g. hepatocellular, gastric, colorectal, central nervous system (CNS), and thyroid cancers) where MT-I+II is either inversely correlated or unrelated to mortality. Large discrepancies exist...

Understanding Cancer Prognosis

Medline Plus

Full Text Available ... treatments being used today. Still, your doctor may tell you that you have a good prognosis if ... to respond well to treatment. Or, he may tell you that you have a poor prognosis if ...

Understanding Cancer Prognosis

Medline Plus

Full Text Available ... your situation is in the best position to discuss your prognosis and explain what the statistics may ... situation best is in the best position to discuss your prognosis. Survival statistics most often come from ...

The differential impact of microsatellite instability as a marker of prognosis and tumour response between colon cancer and rectal cancer.

Science.gov (United States)

Hong, Sung Pil; Min, Byung So; Kim, Tae Il; Cheon, Jae Hee; Kim, Nam Kyu; Kim, Hoguen; Kim, Won Ho

2012-05-01

Microsatellite instability (MSI) is a distinct molecular phenotype of colorectal cancer related to prognosis and tumour response to 5-fluorouracil (5-FU)-based chemotherapy. We investigated the differential impact of MSI between colon and rectal cancers as a marker of prognosis and chemotherapeutic response. PCR-based MSI assay was performed on 1125 patients. Six hundred and sixty patients (58.7%) had colon cancer and 465 patients (41.3%) had rectal cancer. Among 1125 patients, 106 (9.4%) had high-frequency MSI (MSI-H) tumours. MSI-H colon cancers (13%) had distinct phenotypes including young age at diagnosis, family history of colorectal cancer, early Tumor, Node, Metastasis (TNM) stage, proximal location, poor differentiation, and high level of baseline carcinoembryonic antigen (CEA), while MSI-H rectal cancers (4.3%) showed similar clinicopathological characteristics to MSS/MSI-L tumours except for family history of colorectal cancer. MSI-H tumours were strongly correlated with longer disease free survival (DFS) (P=0.005) and overall survival (OS) (P=0.009) than MSS/MSI-L tumours in colon cancer, while these positive correlations were not observed in rectal cancers. The patients with MSS/MSI-L tumours receiving 5-FU-based chemotherapy showed good prognosis (P=0.013), but this positive association was not observed in MSI-H (P=0.104). These results support the use of MSI status as a marker of prognosis and response to 5-FU-based chemotherapy in patients with colon cancers. Further study is mandatory to evaluate the precise role of MSI in patients with rectal cancers and the effect of 5-FU-based chemotherapy in MSI-H tumours. Copyright © 2011 Elsevier Ltd. All rights reserved.

Prognosis was not deteriorated by multiple primary cancers in esophageal cancer patients treated by radiotherapy

International Nuclear Information System (INIS)

Shirai, Katsuyuki; Tamaki, Yoshio; Kitamoto, Yoshizumi

2013-01-01

Esophageal cancer patients are often associated with multiple primary cancers (MPC). The aim of this study is to evaluate the effect of MPC on prognosis in esophageal cancer patients treated by radiotherapy. Between 2001 and 2008, esophageal cancer patients treated by definitive radiotherapy at Gunma Cancer Center were retrospectively reviewed. Exclusion criteria were preoperative or postoperative radiotherapy, palliative radiotherapy, follow-up of <6 months, radiation dose of <50 Gy and no information on MPC. We analyzed 167 esophageal cancer patients and 56 (33.5%) were associated with MPC. Gastric cancer was the most frequent tumor (38.2%), followed by head and neck cancer (26.5%). Median follow-up time was 31.5 months (range 6.1-87.3 months). Patients with MPC included more stage I/II esophageal cancer than those without MPC (66.1% vs. 36.9%, P<0.01). The 5-year overall survival rate for esophageal cancer with MPC was relatively better than those without MPC (46.1% vs. 26.7%), although the difference did not reach statistical significance in univariate analysis (P=0.09). Stage I/II esophageal cancer patients had a significantly better overall survival than stage III/IV patients (P<0.01). Among esophageal cancer patients with MPC, there was no difference in overall survival between antecedent and synchronous cancer (P=0.59). Our study indicated that the prognosis of esophageal cancer patients treated by radiotherapy was primarily determined by the clinical stage itself, but not the presence of MPC. (author)

Radiation exposure from diagnostic imaging in young patients with testicular cancer

International Nuclear Information System (INIS)

Sullivan, C.J.; Twomey, M.; O'Regan, K.N.; Murphy, K.P.; Maher, M.M.; O'Connor, O.J.; McLaughlin, P.D.; Power, D.G.

2015-01-01

Risks associated with high cumulative effective dose (CED) from radiation are greater when imaging is performed on younger patients. Testicular cancer affects young patients and has a good prognosis. Regular imaging is standard for follow-up. This study quantifies CED from diagnostic imaging in these patients. Radiological imaging of patients aged 18-39 years, diagnosed with testicular cancer between 2001 and 2011 in two tertiary care centres was examined. Age at diagnosis, cancer type, dose-length product (DLP), imaging type, and frequency were recorded. CED was calculated from DLP using conversion factors. Statistical analysis was performed with SPSS. In total, 120 patients with a mean age of 30.7 ± 5.2 years at diagnosis had 1,410 radiological investigations. Median (IQR) surveillance was 4.37 years (2.0-5.5). Median (IQR) CED was 125.1 mSv (81.3-177.5). Computed tomography accounted for 65.3 % of imaging studies and 98.3 % of CED. We found that 77.5 % (93/120) of patients received high CED (>75 mSv). Surveillance time was associated with high CED (OR 2.1, CI 1.5-2.8). Survivors of testicular cancer frequently receive high CED from diagnostic imaging, mainly CT. Dose management software for accurate real-time monitoring of CED and low-dose CT protocols with maintained image quality should be used by specialist centres for surveillance imaging. (orig.)

Radiation exposure from diagnostic imaging in young patients with testicular cancer

Energy Technology Data Exchange (ETDEWEB)

Sullivan, C.J.; Twomey, M.; O' Regan, K.N. [Cork and Mercy University Hospitals, Department of Radiology, Cork (Ireland); Murphy, K.P.; Maher, M.M.; O' Connor, O.J. [Cork and Mercy University Hospitals, Department of Radiology, Cork (Ireland); University College Cork, Department of Radiology, Cork (Ireland); McLaughlin, P.D. [Cork and Mercy University Hospitals, Department of Radiology, Cork (Ireland); Vancouver General Hospital, Department of Emergency and Trauma Radiology, Vancouver, British Columbia (Canada); Power, D.G. [Cork and Mercy University Hospitals, Department of Medical Oncology, Cork (Ireland)

2015-04-01

Risks associated with high cumulative effective dose (CED) from radiation are greater when imaging is performed on younger patients. Testicular cancer affects young patients and has a good prognosis. Regular imaging is standard for follow-up. This study quantifies CED from diagnostic imaging in these patients. Radiological imaging of patients aged 18-39 years, diagnosed with testicular cancer between 2001 and 2011 in two tertiary care centres was examined. Age at diagnosis, cancer type, dose-length product (DLP), imaging type, and frequency were recorded. CED was calculated from DLP using conversion factors. Statistical analysis was performed with SPSS. In total, 120 patients with a mean age of 30.7 ± 5.2 years at diagnosis had 1,410 radiological investigations. Median (IQR) surveillance was 4.37 years (2.0-5.5). Median (IQR) CED was 125.1 mSv (81.3-177.5). Computed tomography accounted for 65.3 % of imaging studies and 98.3 % of CED. We found that 77.5 % (93/120) of patients received high CED (>75 mSv). Surveillance time was associated with high CED (OR 2.1, CI 1.5-2.8). Survivors of testicular cancer frequently receive high CED from diagnostic imaging, mainly CT. Dose management software for accurate real-time monitoring of CED and low-dose CT protocols with maintained image quality should be used by specialist centres for surveillance imaging. (orig.)

Challenging the Cancer Molecular Stratification Dogma: Intratumoral Heterogeneity Undermines Consensus Molecular Subtypes and Potential Diagnostic Value in Colorectal Cancer.

Science.gov (United States)

Dunne, Philip D; McArt, Darragh G; Bradley, Conor A; O'Reilly, Paul G; Barrett, Helen L; Cummins, Robert; O'Grady, Tony; Arthur, Ken; Loughrey, Maurice B; Allen, Wendy L; McDade, Simon S; Waugh, David J; Hamilton, Peter W; Longley, Daniel B; Kay, Elaine W; Johnston, Patrick G; Lawler, Mark; Salto-Tellez, Manuel; Van Schaeybroeck, Sandra

2016-08-15

A number of independent gene expression profiling studies have identified transcriptional subtypes in colorectal cancer with potential diagnostic utility, culminating in publication of a colorectal cancer Consensus Molecular Subtype classification. The worst prognostic subtype has been defined by genes associated with stem-like biology. Recently, it has been shown that the majority of genes associated with this poor prognostic group are stromal derived. We investigated the potential for tumor misclassification into multiple diagnostic subgroups based on tumoral region sampled. We performed multiregion tissue RNA extraction/transcriptomic analysis using colorectal-specific arrays on invasive front, central tumor, and lymph node regions selected from tissue samples from 25 colorectal cancer patients. We identified a consensus 30-gene list, which represents the intratumoral heterogeneity within a cohort of primary colorectal cancer tumors. Using a series of online datasets, we showed that this gene list displays prognostic potential HR = 2.914 (confidence interval 0.9286-9.162) in stage II/III colorectal cancer patients, but in addition, we demonstrated that these genes are stromal derived, challenging the assumption that poor prognosis tumors with stem-like biology have undergone a widespread epithelial-mesenchymal transition. Most importantly, we showed that patients can be simultaneously classified into multiple diagnostically relevant subgroups based purely on the tumoral region analyzed. Gene expression profiles derived from the nonmalignant stromal region can influence assignment of colorectal cancer transcriptional subtypes, questioning the current molecular classification dogma and highlighting the need to consider pathology sampling region and degree of stromal infiltration when employing transcription-based classifiers to underpin clinical decision making in colorectal cancer. Clin Cancer Res; 22(16); 4095-104. ©2016 AACRSee related commentary by Morris and

Methylation of cancer-stem-cell-associated Wnt target genes predicts poor prognosis in colorectal cancer patients

NARCIS (Netherlands)

de Sousa E Melo, Felipe; Colak, Selcuk; Buikhuisen, Joyce; Koster, Jan; Cameron, Kate; de Jong, Joan H.; Tuynman, Jurriaan B.; Prasetyanti, Pramudita R.; Fessler, Evelyn; van den Bergh, Saskia P.; Rodermond, Hans; Dekker, Evelien; van der Loos, Chris M.; Pals, Steven T.; van de Vijver, Marc J.; Versteeg, Rogier; Richel, Dick J.; Vermeulen, Louis; Medema, Jan Paul

2011-01-01

Gene signatures derived from cancer stem cells (CSCs) predict tumor recurrence for many forms of cancer. Here, we derived a gene signature for colorectal CSCs defined by high Wnt signaling activity, which in agreement with previous observations predicts poor prognosis. Surprisingly, however, we

TRIB3 protein denotes a good prognosis in breast cancer patients and is associated with hypoxia sensitivity

International Nuclear Information System (INIS)

Wennemers, Marloes; Bussink, Johan; Grebenchtchikov, Nicolai; Sweep, Fred C.G.J.; Span, Paul N.

2011-01-01

Background: Tribbles homolog 3 (TRIB3) is a pseudokinase involved in the regulation of several signaling pathways involved in cell survival and/or cell stress. Here, we determined the correlation between breast cancer prognosis and TRIB3 protein levels and established the role of TRIB3 in cell survival after hypoxia and/or radiotherapy. Material and methods: TRIB3 mRNA and protein were quantified in a new independent breast cancer patient cohort using QPCR and a new specific avian antibody against TRIB3. In addition, we used siRNA-mediated knockdown of TRIB3 in a colony-forming assay after hypoxia and radiotherapy. Results: TRIB3 mRNA and protein levels did not correlate in breast cancer cell lines or human breast cancer material. We validated our earlier finding that high TRIB3 mRNA denotes a poor prognosis, but found that high TRIB3 protein levels were associated with a good prognosis in breast cancer patients. We also show that knockdown of TRIB3 resulted in an increased survival under hypoxic conditions. Conclusion: Whereas mRNA levels of TRIB3 are related with a poor prognosis, TRIB3 protein is associated with a good prognosis in human breast cancer patients, possibly due to the fact that TRIB3 is involved in hypoxia tolerance.

Are Early Relapses in Advanced-Stage Ovarian Cancer Doomed to a Poor Prognosis?

Directory of Open Access Journals (Sweden)

Fabien Vidal

Full Text Available Early recurrence (ER after completion of therapeutic regimen in advanced-stage ovarian cancer is a challenging clinical situation. Patients are perceived as invariably having a poor prognosis. We investigated the possibility of defining different prognostic subgroups and the parameters implicated in prognosis of ER patients.We analyzed a multi-centric database of 527 FIGO stage IIIC and IV ovarian cancer patients. We defined patients relapsing within 12 months as ER and investigated using Cox logistic regression the prognostic factors in ER group. We subsequently divided ER patients into good and poor prognosis groups according to a lower or higher overall survival (OS at 12 months after relapse and determined parameters associated to poor prognosis.The median follow up was 49 months. One hundred and thirty eight patients recurred within 12 months. OS and Disease Free Survival (DFS were 24.6 and 8.6 months, respectively, in this group of patients. Among the ER patients, 73 had a poor prognosis with an OS after relapse below 12 months (mean OS = 5.2 months and 65 survived after one year (mean OS = 26.9 months. Residual disease (RD after debulking surgery and mucinous histological subtype negatively impacted prognosis (HR = 1.758, p = 0.017 and HR = 8.641, p = 0.001 respectively. The relative risk of death within 12 months following relapse in ER patients was 1.61 according to RD status. However, RD did not affect DFS (HR = 0.889, p = 0.5.ER in advanced-stage ovarian cancer does not inevitably portend a short-term poor prognosis. RD status after initial cytoreduction strongly modulates OS, that gives additional support to the concept of maximum surgical effort even in patients who will experience early recurrence. The heterogeneity in outcomes within the ER group suggests a role for tumor biology in addition to classical clinical parameters.

Applications of machine learning in cancer prediction and prognosis.

Science.gov (United States)

Cruz, Joseph A; Wishart, David S

2007-02-11

Machine learning is a branch of artificial intelligence that employs a variety of statistical, probabilistic and optimization techniques that allows computers to "learn" from past examples and to detect hard-to-discern patterns from large, noisy or complex data sets. This capability is particularly well-suited to medical applications, especially those that depend on complex proteomic and genomic measurements. As a result, machine learning is frequently used in cancer diagnosis and detection. More recently machine learning has been applied to cancer prognosis and prediction. This latter approach is particularly interesting as it is part of a growing trend towards personalized, predictive medicine. In assembling this review we conducted a broad survey of the different types of machine learning methods being used, the types of data being integrated and the performance of these methods in cancer prediction and prognosis. A number of trends are noted, including a growing dependence on protein biomarkers and microarray data, a strong bias towards applications in prostate and breast cancer, and a heavy reliance on "older" technologies such artificial neural networks (ANNs) instead of more recently developed or more easily interpretable machine learning methods. A number of published studies also appear to lack an appropriate level of validation or testing. Among the better designed and validated studies it is clear that machine learning methods can be used to substantially (15-25%) improve the accuracy of predicting cancer susceptibility, recurrence and mortality. At a more fundamental level, it is also evident that machine learning is also helping to improve our basic understanding of cancer development and progression.

Establishment of a 12-gene expression signature to predict colon cancer prognosis

Directory of Open Access Journals (Sweden)

Dalong Sun

2018-06-01

Full Text Available A robust and accurate gene expression signature is essential to assist oncologists to determine which subset of patients at similar Tumor-Lymph Node-Metastasis (TNM stage has high recurrence risk and could benefit from adjuvant therapies. Here we applied a two-step supervised machine-learning method and established a 12-gene expression signature to precisely predict colon adenocarcinoma (COAD prognosis by using COAD RNA-seq transcriptome data from The Cancer Genome Atlas (TCGA. The predictive performance of the 12-gene signature was validated with two independent gene expression microarray datasets: GSE39582 includes 566 COAD cases for the development of six molecular subtypes with distinct clinical, molecular and survival characteristics; GSE17538 is a dataset containing 232 colon cancer patients for the generation of a metastasis gene expression profile to predict recurrence and death in COAD patients. The signature could effectively separate the poor prognosis patients from good prognosis group (disease specific survival (DSS: Kaplan Meier (KM Log Rank p = 0.0034; overall survival (OS: KM Log Rank p = 0.0336 in GSE17538. For patients with proficient mismatch repair system (pMMR in GSE39582, the signature could also effectively distinguish high risk group from low risk group (OS: KM Log Rank p = 0.005; Relapse free survival (RFS: KM Log Rank p = 0.022. Interestingly, advanced stage patients were significantly enriched in high 12-gene score group (Fisher’s exact test p = 0.0003. After stage stratification, the signature could still distinguish poor prognosis patients in GSE17538 from good prognosis within stage II (Log Rank p = 0.01 and stage II & III (Log Rank p = 0.017 in the outcome of DFS. Within stage III or II/III pMMR patients treated with Adjuvant Chemotherapies (ACT and patients with higher 12-gene score showed poorer prognosis (III, OS: KM Log Rank p = 0.046; III & II, OS: KM Log Rank p = 0.041. Among stage II/III pMMR patients

BMI and breast cancer prognosis benefit: mammography screening reveals differences between normal weight and overweight women.

Science.gov (United States)

Crispo, Anna; Grimaldi, Maria; D'Aiuto, Massimiliano; Rinaldo, Massimo; Capasso, Immacolata; Amore, Alfonso; D'Aiuto, Giuseppe; Giudice, Aldo; Ciliberto, Gennaro; Montella, Maurizio

2015-02-01

Few studies are available on the potential impact of body weight on breast cancer prognosis in screen-detected patients. Moreover, it is not known whether body mass index (BMI) could have a different prognostic impact in screen-detected versus symptomatic breast cancer patients. To investigate these unsolved issues, we carried out a retrospective study evaluating the effect of BMI on breast cancer prognosis in screen-detected vs symptomatic breast cancer patients. We conducted a follow-up study on 448 women diagnosed with incident, histologically-confirmed breast cancer. Patients were categorized according to their BMI as normal weight, overweight and obese. Disease free survival (DFS), overall survival (OS), and BMI curves were compared according to mode of cancer detection. Among screen-detected patients, higher BMI was associated with a significant lower DFS, whereas no significant difference was observed among symptomatic patients. OS showed similar results. In the multivariate analysis adjusting for age, education, tumor size, nodal status, estrogen receptor (ER), progesterone receptor (PR) and menopausal status, the risk for high level of BMI among screen-detected patients did not reach the statistical significance for either recurrence or survival. Our study highlights the potential impact of high bodyweight in breast cancer prognosis, the findings confirm that obesity plays a role in women breast cancer prognosis independently from diagnosis mode. Copyright © 2014 Elsevier Ltd. All rights reserved.

Standardized Ki67 Diagnostics Using Automated Scoring--Clinical Validation in the GeparTrio Breast Cancer Study.

Science.gov (United States)

Klauschen, Frederick; Wienert, Stephan; Schmitt, Wolfgang D; Loibl, Sibylle; Gerber, Bernd; Blohmer, Jens-Uwe; Huober, Jens; Rüdiger, Thomas; Erbstößer, Erhard; Mehta, Keyur; Lederer, Bianca; Dietel, Manfred; Denkert, Carsten; von Minckwitz, Gunter

2015-08-15

Scoring proliferation through Ki67 immunohistochemistry is an important component in predicting therapy response to chemotherapy in patients with breast cancer. However, recent studies have cast doubt on the reliability of "visual" Ki67 scoring in the multicenter setting, particularly in the lower, yet clinically important, proliferation range. Therefore, an accurate and standardized Ki67 scoring is pivotal both in routine diagnostics and larger multicenter studies. We validated a novel fully automated Ki67 scoring approach that relies on only minimal a priori knowledge on cell properties and requires no training data for calibration. We applied our approach to 1,082 breast cancer samples from the neoadjuvant GeparTrio trial and compared the performance of automated and manual Ki67 scoring. The three groups of autoKi67 as defined by low (≤ 15%), medium (15.1%-35%), and high (>35%) automated scores showed pCR rates of 5.8%, 16.9%, and 29.5%, respectively. AutoKi67 was significantly linked to prognosis with overall and progression-free survival P values P(OS) cancer that correlated with clinical endpoints and is deployable in routine diagnostics. It may thus help to solve recently reported reliability concerns in Ki67 diagnostics. ©2014 American Association for Cancer Research.

Lnc RNA H19 is associated with poor prognosis in breast cancer patients and promotes cancer stemness.

Science.gov (United States)

Shima, Hidetaka; Kida, Kumiko; Adachi, Shoko; Yamada, Akimitsu; Sugae, Sadatoshi; Narui, Kazutaka; Miyagi, Yohei; Nishi, Mayuko; Ryo, Akihide; Murata, Soichiro; Taniguchi, Hideki; Ichikawa, Yasushi; Ishikawa, Takashi; Endo, Itaru

2018-04-24

Aldehyde dehydrogenase1 (ALDH1) is widely accepted as a stem cell marker for normal breast as well as in breast cancer. Although the clinical impact of ALDH1 was observed in our previous study, we do not know how ALDH1 affects stem cell features resulting in worsening of prognosis in breast cancer. The purpose of this study is to explore ALDH1-related gene and its function on cancer stem cell (CSC). In five cases of ALDH1-positive triple-negative breast cancer, mRNA expression profile was compared between ALDH1-positive and ALDH1-negative cells by Affymetrix microarray analysis after microdissection. Among the genes modulated in ALDH1-positive cells, we focused on H19, which encodes a long non-coding RNA, in this study. An in-vitro study was conducted with H19 siRNA in HCC1934 and iCSCL10A cell lines. The association of H19 with prognosis was examined in 180 breast cancer cases. Network analysis revealed the existence of five genes related with H19, including miR-103, miR-107, let-7, miR-29b-1, and Trx. In-vitro analysis showed that suppression of H19 using siRNA reduces sphere formation capacity in both HCC1934 and iCSCL10A cell lines. In clinical studies, H19 expression was associated with hormone negativity, tumor size, and nodal status. Patients with H19 expression had significantly poor disease-free survival (DFS) (26.3 vs. 64.8% at 5 years, p = 0.001) and overall survival (OS) (28.9 vs. 68.3% at 5 years, p = 0.004). The effect of H19 expression on prognosis was the most significant in triple-negative breast cancer compared to that in other subtypes (20.0 vs. 65.4% at 5 years DFS, p = 0.012, 20.0 vs. 69.2% at 5 years OS, p = 0.016). This study indicated that H19 was associated with stem cell phenotype in ALDH1-positive breast cancer. H19 regulates CSC and is associated with poor prognosis in breast cancer patients, particularly in triple-negative subtype.

Screening diagnostic program breast cancer

International Nuclear Information System (INIS)

Portnoj, L.M.; Zhakova, I.I.; Budnikova, N.V.; Rukhlyadko, E.D.

1995-01-01

The authors propose their screening program for detection of breast cancer. It includes the entire complex of present-day screening diagnostic methods, starting from an original system for the formation of groups at risk of breast cancer and completed by the direct diagnostic model of detection of the condition, oriented at a differentiated approach to the use of mammographic techniques. The proposed organizational and methodologic screening measures are both economic and diagnostically effective, thus meeting the principal requirements to screening programs. Screening of 8541 risk-groups patients helped detect 867 nodular formations, 244 of which were cancer and 623 benign formations. 8 refs., 3 figs.,

HER-2 positive and p53 negative breast cancers are associated with poor prognosis.

LENUS (Irish Health Repository)

2011-06-01

p53 and HER-2 coexpression in breast cancer has been controversial. These markers were tested using immunohistochemistry and HercepTest. HER-2 expression is related to reduced breast cancer survival (p = .02) . p53 expression relates to HER-2 expression (p = .029). Coexpression between p53 and HER-2 has no relation to prognosis. On univariate and multivariate analysis, combination of HER-2 positive and p53 negative expression was associated with a poor prognosis (p = .018 and p = .027, respectively), while the combination of HER-2 negative and p53 positive expression was associated with a favorable prognosis (p = .022 and p = .010, respectively). Therefore the expression of these markers should be considered collectively.

HER-2 positive and p53 negative breast cancers are associated with poor prognosis.

LENUS (Irish Health Repository)

2012-02-01

p53 and HER-2 coexpression in breast cancer has been controversial. These markers were tested using immunohistochemistry and HercepTest. HER-2 expression is related to reduced breast cancer survival (p = .02) . p53 expression relates to HER-2 expression (p = .029). Coexpression between p53 and HER-2 has no relation to prognosis. On univariate and multivariate analysis, combination of HER-2 positive and p53 negative expression was associated with a poor prognosis (p = .018 and p = .027, respectively), while the combination of HER-2 negative and p53 positive expression was associated with a favorable prognosis (p = .022 and p = .010, respectively). Therefore the expression of these markers should be considered collectively.

Concurrent new drug prescriptions and prognosis of early breast cancer

DEFF Research Database (Denmark)

Cronin-Fenton, Deirdre; Lash, Timothy L; Ahern, Thomas P

2018-01-01

Breast Cancer Group (DBCG) clinical database provides high-quality prospectively collected data on breast cancer diagnosis, treatment, and routine follow-up for breast cancer recurrence. Individual-level linkage of DBCG data to other population-based and medical registries in Denmark, including......BACKGROUND: Myriad reports suggest that frequently used prescription drugs alter the viability of breast cancer cells in pre-clinical studies. Routine use of these drugs, therefore, may impact breast cancer prognosis, and could have important implications for public health. METHODS: The Danish...... the Danish National Prescription Registry, has facilitated large population-based pharmacoepidemiology studies. A unique advantage of using DBCG data for such studies is the ability to investigate the association of drugs with breast cancer recurrence rather than breast cancer mortality - which may...

Applications of Machine Learning in Cancer Prediction and Prognosis

Directory of Open Access Journals (Sweden)

Joseph A. Cruz

2006-01-01

Full Text Available Machine learning is a branch of artificial intelligence that employs a variety of statistical, probabilistic and optimization techniques that allows computers to “learn” from past examples and to detect hard-to-discern patterns from large, noisy or complex data sets. This capability is particularly well-suited to medical applications, especially those that depend on complex proteomic and genomic measurements. As a result, machine learning is frequently used in cancer diagnosis and detection. More recently machine learning has been applied to cancer prognosis and prediction. This latter approach is particularly interesting as it is part of a growing trend towards personalized, predictive medicine. In assembling this review we conducted a broad survey of the different types of machine learning methods being used, the types of data being integrated and the performance of these methods in cancer prediction and prognosis. A number of trends are noted, including a growing dependence on protein biomarkers and microarray data, a strong bias towards applications in prostate and breast cancer, and a heavy reliance on “older” technologies such artificial neural networks (ANNs instead of more recently developed or more easily interpretable machine learning methods. A number of published studies also appear to lack an appropriate level of validation or testing. Among the better designed and validated studies it is clear that machine learning methods can be used to substantially (15-25% improve the accuracy of predicting cancer susceptibility, recurrence and mortality. At a more fundamental level, it is also evident that machine learning is also helping to improve our basic understanding of cancer development and progression.

CEA A BIOCHEMICAL MARKER FOR DIAGNOSIS AND PROGNOSIS OF GASTROINTESTINAL CANCER

OpenAIRE

Prathibha; Vishnu Datt

2016-01-01

Serum tumor markers (TM) are widely used for diagnosis and monitoring of treatment of cancer. Carcinoembryonic Antigen (CEA) is one of the most widely investigated tumor markers in gastrointestinal (GI) cancers. Estimation of circulating tumor markers is a non- invasive quantitative method. Serum levels of CEA were studied for diagnosis and prognosis of gastrointestinal malignancies. 140 subjects were undertaken out of which 35 normal and remaining 105 were GI cancer patients. Ser...

Diagnostic and prognostic value of carcinoembryonic antigen in pancreatic cancer: a systematic review and meta-analysis

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Meng Q

2017-09-01

Full Text Available Qingcai Meng,1–3,* Si Shi,1–3,* Chen Liang,1–3,* Dingkong Liang,1–3 Wenyan Xu,1–3 Shunrong Ji,1–3 Bo Zhang,1–3 Quanxing Ni,1–3 Jin Xu,1–3 Xianjun Yu1–3 1Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, 2Department of Oncology, Shanghai Medical College, 3Pancreatic Cancer Institute, Fudan University, Shanghai, People’s Republic of China *These authors contributed equally to this work Background: Carcinoembryonic antigen (CEA is one of the most widely used tumor markers and is increased in 30%–60% of patients with pancreatic cancer. Although carbohydrate antigen 19-9 (CA19-9 is the most important serum biomarker in pancreatic cancer, the diagnostic and prognostic value of CEA is gradually being recognized.Materials and methods: The MEDLINE, EMBASE, and Web of Science databases were searched for related literature published until January 2017. Diagnostic accuracy variables were pooled using the Meta-Disc software. The pooled hazard ratios (HRs for prognostic data were calculated and analyzed using Stata software.Results: A total of 3,650 participants enrolled in 19 studies met our inclusion criteria. The pooled sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio of a CEA-based panel were 0.45 (95% confidence interval [CI], 0.41–0.50, 0.89 (95% CI, 0.86–0.91, 5.39 (95% CI, 3.16–9.18, and 0.55 (95% CI, 0.41–0.72, respectively. The area under the curve (AUC, 0.90 and Q-value (0.84 of the CEA-based panel indicated a significantly higher diagnostic accuracy compared with CEA or CA19-9 alone. Moreover, there was also a significant association between high levels of CEA and worse overall survival (HR, 1.43; 95% CI, 1.31–1.56.Conclusion: Our meta-analysis indicated that elevated serum CEA level, as a vital supplementary to CA19-9, can play an important role in the clinical diagnosis of pancreatic cancer patients and predict poor prognosis. Keywords: carcinoembryonic

Circulating exosomal miR-27a and miR-130a act as novel diagnostic and prognostic biomarkers of colorectal cancer.

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Wang, Shukui; Liu, Xiangxiang; Pan, Bei; Sun, Li; Chen, Xiaoxiang; Zeng, Kaixuan; Hu, Xiuxiu; Xu, Tao; Xu, Mu

2018-05-08

Colorectal cancer (CRC) is one of the most common cancers worldwide usually with poor prognosis due to the advanced stage when diagnosed. This study aimed to investigate whether specific circulating exosomal miRNAs could act as biomarkers for early diagnosis of CRC. A total of 369 peripheral blood samples were included in this study. In the discovery phase, circulating exosomal miR-27a and miR-130a were selected after synthetical analysis of two GEO datasets and TCGA database. The differential expression and diagnostic utility of miR-27a and miR-130a panel were validated using quantitative reverse-transcriptase PCR (qRT-PCR) and Receiver operating characteristic (ROC) curve analysis in subsequent training phase, validation phase and external validation phase. The prognosis of circulating exosomal miR-27a and miR-130a were investigated using the Kaplan-Meier method. The expression of exosomal miR-27a and miR-130a in plasma significantly increased in CRC. The area under ROC curves (AUCs) of miR-27a (miR-130a) were 0.773 (0.742) in the training phase, 0.82 (0.787) in the validation phase, and 0.746 (0.697) in the external validation phase. The combination of two miRNAs presented higher diagnostic utility for CRC (AUCs = 0.846, 0.898 and 0.801 for the training, validation, and external validation phases, respectively). CRC patients with high expression of circulating exosomal miR-27a or miR-130a underwent poorer prognosis. We identified a circulating exosomal miRNAs panel for the detection of CRC. The exosomal miR-27a and miR-130a panel in plasma may act as a non-invasive biomarker for early detection and predicting prognosis of CRC. Copyright ©2018, American Association for Cancer Research.

Preoperative mannan-binding lectin pathway and prognosis in colorectal cancer

DEFF Research Database (Denmark)

Ytting, Henriette; Christensen, Ib Jarle; Jensenius, Jens Christian

2005-01-01

PURPOSE: Deficiency of the mannan-binding lectin (MBL) pathway of innate immunity is associated with increased susceptibility to infections. In patients with colorectal cancer (CRC), postoperative infection is associated with poor prognosis. The aim of the present study was to evaluate (1...

Effect of BRCA germline mutations on breast cancer prognosis

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Baretta, Zora; Mocellin, Simone; Goldin, Elena; Olopade, Olufunmilayo I.; Huo, Dezheng

2016-01-01

Abstract Background: The contribution of BRCA germline mutational status to breast cancer patients’ prognosis is unclear. We aimed to systematically review and perform meta-analysis of the available evidence of effects of BRCA germline mutations on multiple survival outcomes of breast cancer patients as a whole and in specific subgroups of interest, including those with triple negative breast cancer, those with Ashkenazi Jewish ancestry, and patients with stage I–III disease. Methods: Sixty studies met all inclusion criteria and were considered for this meta-analysis. These studies involved 105,220 breast cancer patients, whose 3588 (3.4%) were BRCA mutations carriers. The associations between BRCA genes mutational status and overall survival (OS), breast cancer-specific survival (BCSS), recurrence-free survival (RFS), and distant metastasis-free survival (DMFS) were evaluated using random-effect models. Results: BRCA1 mutation carriers have worse OS than BRCA-negative/sporadic cases (hazard ratio, HR 1.30, 95% CI: 1.11–1.52) and worse BCSS than sporadic/BRCA-negative cases among patients with stage I–III breast cancer (HR 1.45, 95% CI: 1.01–2.07). BRCA2 mutation carriers have worse BCSS than sporadic/BRCA-negative cases (HR 1.29, 95% CI: 1.03–1.62), although they have similar OS. Among triple negative breast cancer, BRCA1/2 mutations carriers had better OS than BRCA-negative counterpart (HR 0.49, 95% CI: 0.26–0.92). Among Ashkenazi Jewish women, BRCA1/2 mutations carriers presented higher risk of death from breast cancer (HR 1.44, 95% CI: 1.05–1.97) and of distant metastases (HR 1.82, 95% CI: 1.05–3.16) than sporadic/BRCA-negative patients. Conclusion: Our results support the evaluation of BRCA mutational status in patients with high risk of harboring BRCA germline mutations to better define the prognosis of breast cancer in these patients. PMID:27749552

[Application of molecular diagnostic techniques in precision medicine of personalized treatment for colorectal cancer].

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Fu, Ji; Lin, Guole

2016-01-01

Precision medicine is to customize the treatment options for individual patient based on the personal genome information. Colorectal cancer (CRC) is one of the most common cancer worldwide. Molecular heterogeneity of CRC, which includes the MSI phenotype, hypermutation phenotype, and their relationship with clinical preferences, is believed to be one of the main factors responsible for the considerable variability in treatment response. The development of powerful next-generation sequencing (NGS) technologies allows us to further understand the biological behavior of colorectal cancer, and to analyze the prognosis and chemotherapeutic drug reactions by molecular diagnostic techniques, which can guide the clinical treatment. This paper will introduce the new findings in this field. Meanwhile we integrate the new progress of key pathways including EGFR, RAS, PI3K/AKT and VEGF, and the experience in selective patients through associated molecular diagnostic screening who gain better efficacy after target therapy. The technique for detecting circulating tumor DNA (ctDNA) is introduced here as well, which can identify patients with high risk for recurrence, and demonstrate the risk of chemotherapy resistance. Mechanism of tumor drug resistance may be revealed by dynamic observation of gene alteration during treatment.

Overexpression of the E2F target gene CENPI promotes chromosome instability and predicts poor prognosis in estrogen receptor-positive breast cancer.

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Thangavelu, Pulari U; Lin, Cheng-Yu; Vaidyanathan, Srividya; Nguyen, Thu H M; Dray, Eloise; Duijf, Pascal H G

2017-09-22

During cell division, chromosome segregation is facilitated by the mitotic checkpoint, or spindle assembly checkpoint (SAC), which ensures correct kinetochore-microtubule attachments and prevents premature sister-chromatid separation. It is well established that misexpression of SAC components on the outer kinetochores promotes chromosome instability (CIN) and tumorigenesis. Here, we study the expression of CENP-I, a key component of the HIKM complex at the inner kinetochores, in breast cancer, including ductal, lobular, medullary and male breast carcinomas. CENPI mRNA and protein levels are significantly elevated in estrogen receptor-positive (ER+) but not in estrogen receptor-negative (ER-) breast carcinoma. Well-established prognostic tests indicate that CENPI overexpression constitutes a powerful independent marker for poor patient prognosis and survival in ER+ breast cancer. We further demonstrate that CENPI is an E2F target gene. Consistently, it is overexpressed in RB1 -deficient breast cancers. However, CENP-I overexpression is not purely due to cell cycle-associated expression. In ER+ breast cancer cells, CENP-I overexpression promotes CIN, especially chromosome gains. In addition, in ER+ breast carcinomas the degree of CENPI overexpression is proportional to the level of aneuploidy and CENPI overexpression is one of the strongest markers for CIN identified to date. Our results indicate that overexpression of the inner kinetochore protein CENP-I promotes CIN and forecasts poor prognosis for ER+ breast cancer patients. These observations provide novel mechanistic insights and have important implications for breast cancer diagnostics and potentially therapeutic targeting.

Magnetic resonance imaging-detected extramural venous invasion in rectal cancer before and after preoperative chemoradiotherapy. Diagnostic performance and prognostic significance

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Lee, Eun Sun [Chung-Ang University Hospital, Department of Radiology, Seoul (Korea, Republic of); Chung-Ang University, College of Medicine and Graduate School of Medicine, Seoul (Korea, Republic of); National Cancer Centre, Department of Radiology, Goyang-si, Gyeonggi-do (Korea, Republic of); Kim, Min Ju; Hur, Bo Yun [National Cancer Centre, Department of Radiology, Goyang-si, Gyeonggi-do (Korea, Republic of); Park, Sung Chan; Hyun, Jong Hee; Chang, Hee Jin; Baek, Ji Yeon; Kim, Dae Yong; Oh, Jae Hwan [National Cancer Centre, Centre for Colorectal Cancer, Goyang, Gyeonggi-do (Korea, Republic of); Kim, Sun Young [National Cancer Centre, Centre for Colorectal Cancer, Goyang, Gyeonggi-do (Korea, Republic of); University of Ulsan College of Medicine, Department of Oncology, Asan Medical Centre, Seoul (Korea, Republic of)

2018-02-15

We evaluated the diagnostic performance of magnetic resonance imaging (MRI) in terms of identifying extramural venous invasion (EMVI) in rectal cancer patients with preoperative chemoradiotherapy (CRT) and its prognostic significance. During 2008-2010, 200 patients underwent surgery following preoperative CRT for rectal cancer. Two radiologists independently reviewed all pre- and post-CRT MRI retrospectively. We investigated diagnostic performance of pre-CRT MR-EMVI (MR-EMVI) and post-CRT MR-EMVI (yMR-EMVI), based on pathological EMVI as the standard of reference. We assessed correlation between MRI findings and patients' prognosis, such as disease-free survival (DFS) and overall survival (OS). Additionally, subgroup analysis in MR- or yMR-EMVI-positive patients was performed to confirm the significance of the severity of EMVI in MRI on patient's prognosis. The sensitivity and specificity of yMR-EMVI were 76.19% and 79.75% (area under the curve: 0.830), respectively. In univariate analysis, yMR-EMVI was the only significant MRI factor in DFS (P = 0.027). The mean DFS for yMR-EMVI (+) patients was significantly less than for yMR-EMVI (-) patients: 57.56 months versus 72.46 months. yMR-EMVI demonstrated good diagnostic performance. yMR-EMVI was the only significant EMVI-related MRI factor that correlated with patients' DFS in univariate analysis; however, it was not significant in multivariate analysis. (orig.)

Breast. cancer. Prognosis factors - preliminar study

International Nuclear Information System (INIS)

Rotstein, S.; Fonseca, N.M.

1984-01-01

A preliminar study of prognosis factors in 8 cases of breast cancer is made. Are used as parameters the dimension, the localization and the nuclear differentiation degree (gN) of the primary tumor, the vascular invasion and the axillary histologic status (pN) and the sinus histiocytosis phenomenon. Among the studied factors, have special importance the presence of vascular invasion and the negative sinus histiocytosis (minimal or absent sinus histiocytosis). Both phenomena are considered as an expression of potential systemic disease, independent of the clinical stage. Consequently the use of chemotherapy in the surgery complementation is preconized, to a best control of the disease. (author)

Does buccal cancer have worse prognosis than other oral cavity cancers?

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Camilon, P Ryan; Stokes, William A; Fuller, Colin W; Nguyen, Shaun A; Lentsch, Eric J

2014-06-01

To determine whether buccal squamous cell carcinoma has worse overall survival (OS) and disease-specific survival (DSS) than cancers in the rest of the oral cavity. Retrospective analysis of a large population database. We began with a Kaplan-Meier analysis of OS and DSS for buccal versus nonbuccal tumors with unmatched data, followed by an analysis of cases matched for race, age at diagnosis, stage at diagnosis, and treatment modality. This was supported by a univariate Cox regression comparing buccal cancer to nonbuccal cancer, followed by a multivariate Cox regression that included all significant variables studied. With unmatched data, buccal cancer had significantly lesser OS and DSS values than cancers in the rest of the oral cavity (P cancer versus nonbuccal oral cancer were no longer significant. Univariate Cox regression models with respect to OS and DSS showed a significant difference between buccal cancer and nonbuccal cancer. However, with multivariate analysis, buccal hazard ratios for OS and DSS were not significant. With the largest series of buccal carcinoma to date, our study concludes that the OS and DSS of buccal cancer are similar to those of cancers in other oral cavity sites once age at diagnosis, tumor stage, treatment, and race are taken into consideration. The previously perceived poor prognosis of buccal carcinoma may be due to variations in tumor presentation, such as later stage and older patient age. 2b. © 2014 The American Laryngological, Rhinological and Otological Society, Inc.

The associations between immunity-related genes and breast cancer prognosis in Korean women.

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Jaesung Choi

Full Text Available We investigated the role of common genetic variation in immune-related genes on breast cancer disease-free survival (DFS in Korean women. 107 breast cancer patients of the Seoul Breast Cancer Study (SEBCS were selected for this study. A total of 2,432 tag single nucleotide polymorphisms (SNPs in 283 immune-related genes were genotyped with the GoldenGate Oligonucleotide pool assay (OPA. A multivariate Cox-proportional hazard model and polygenic risk score model were used to estimate the effects of SNPs on breast cancer prognosis. Harrell's C index was calculated to estimate the predictive accuracy of polygenic risk score model. Subsequently, an extended gene set enrichment analysis (GSEA-SNP was conducted to approximate the biological pathway. In addition, to confirm our results with current evidence, previous studies were systematically reviewed. Sixty-two SNPs were statistically significant at p-value less than 0.05. The most significant SNPs were rs1952438 in SOCS4 gene (hazard ratio (HR = 11.99, 95% CI = 3.62-39.72, P = 4.84E-05, rs2289278 in TSLP gene (HR = 4.25, 95% CI = 2.10-8.62, P = 5.99E-05 and rs2074724 in HGF gene (HR = 4.63, 95% CI = 2.18-9.87, P = 7.04E-05. In the polygenic risk score model, the HR of women in the 3rd tertile was 6.78 (95% CI = 1.48-31.06 compared to patients in the 1st tertile of polygenic risk score. Harrell's C index was 0.813 with total patients and 0.924 in 4-fold cross validation. In the pathway analysis, 18 pathways were significantly associated with breast cancer prognosis (P<0.1. The IL-6R, IL-8, IL-10RB, IL-12A, and IL-12B was associated with the prognosis of cancer in data of both our study and a previous study. Therefore, our results suggest that genetic polymorphisms in immune-related genes have relevance to breast cancer prognosis among Korean women.

A Case of Urethral Metastasis from Sigmoid Colon Cancer Diagnostically and Prognostically Indicated by F 18 FDG PET/CT

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Seo, Han Seok; Kim, Eun Sil; Kim, Soyon; Im, Su Jin; Park, Yong Hyun; Lee, Ju Hyoung; Hur, So Chong [National Police Hospital, Seoul (Korea, Republic of)

2011-12-15

Urethral metastasis from colorectal cancer is rare and is known to have a poor prognosis. A 72 year old man with a history of colectomy and colostomy due to sigmoid colon cancer was admitted to the emergency room with bowel distension, rectal bleeding and urinary symptoms. Computed tomography of the abdominopelvis showed sigmoid colon cancer with multiple metastases involving the liver. Positron emission tomography with F 18 fluorodeoxyglucose (FDG) showed multiple hypermetabolic foci in the liver, penis and pubic bone, which otherwise could not be diagnosed. The lesions revealed no improvement with chemotherapy and urological surgery on follow up F 18 FDG PET/CT. We present a case of urethral metastasis of sigmoid colon cancer diagnostically and prognostically indicated by F 18 FDG PET/CT.

A Case of Urethral Metastasis from Sigmoid Colon Cancer Diagnostically and Prognostically Indicated by F 18 FDG PET/CT

International Nuclear Information System (INIS)

Seo, Han Seok; Kim, Eun Sil; Kim, Soyon; Im, Su Jin; Park, Yong Hyun; Lee, Ju Hyoung; Hur, So Chong

2011-01-01

Urethral metastasis from colorectal cancer is rare and is known to have a poor prognosis. A 72 year old man with a history of colectomy and colostomy due to sigmoid colon cancer was admitted to the emergency room with bowel distension, rectal bleeding and urinary symptoms. Computed tomography of the abdominopelvis showed sigmoid colon cancer with multiple metastases involving the liver. Positron emission tomography with F 18 fluorodeoxyglucose (FDG) showed multiple hypermetabolic foci in the liver, penis and pubic bone, which otherwise could not be diagnosed. The lesions revealed no improvement with chemotherapy and urological surgery on follow up F 18 FDG PET/CT. We present a case of urethral metastasis of sigmoid colon cancer diagnostically and prognostically indicated by F 18 FDG PET/CT.

DACH1: its role as a classifier of long term good prognosis in luminal breast cancer.

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Desmond G Powe

Full Text Available BACKGROUND: Oestrogen receptor (ER positive (luminal tumours account for the largest proportion of females with breast cancer. Theirs is a heterogeneous disease presenting clinical challenges in managing their treatment. Three main biological luminal groups have been identified but clinically these can be distilled into two prognostic groups in which Luminal A are accorded good prognosis and Luminal B correlate with poor prognosis. Further biomarkers are needed to attain classification consensus. Machine learning approaches like Artificial Neural Networks (ANNs have been used for classification and identification of biomarkers in breast cancer using high throughput data. In this study, we have used an artificial neural network (ANN approach to identify DACH1 as a candidate luminal marker and its role in predicting clinical outcome in breast cancer is assessed. MATERIALS AND METHODS: A reiterative ANN approach incorporating a network inferencing algorithm was used to identify ER-associated biomarkers in a publically available cDNA microarray dataset. DACH1 was identified in having a strong influence on ER associated markers and a positive association with ER. Its clinical relevance in predicting breast cancer specific survival was investigated by statistically assessing protein expression levels after immunohistochemistry in a series of unselected breast cancers, formatted as a tissue microarray. RESULTS: Strong nuclear DACH1 staining is more prevalent in tubular and lobular breast cancer. Its expression correlated with ER-alpha positive tumours expressing PgR, epithelial cytokeratins (CK18/19 and 'luminal-like' markers of good prognosis including FOXA1 and RERG (p<0.05. DACH1 is increased in patients showing longer cancer specific survival and disease free interval and reduced metastasis formation (p<0.001. Nuclear DACH1 showed a negative association with markers of aggressive growth and poor prognosis. CONCLUSION: Nuclear DACH1 expression

Long non-coding RNA PVT1 as a novel potential biomarker for predicting the prognosis of colorectal cancer.

Science.gov (United States)

Fan, Heng; Zhu, Jian-Hua; Yao, Xue-Qing

2018-05-01

Long non-coding RNA (lncRNA) plays a very important role in the occurrence and development of various tumors, and is a potential biomarker for cancer diagnosis and prognosis. The purpose of this study was to investigate the relationship between the expression of lncRNA plasmacytoma variant translocation 1 (PVT1) and the prognostic significance in patients with colorectal cancer. The expression of PVT1 was measured by real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR) in cancerous and adjacent tissues of 210 colorectal cancer patients. The disease-free survival and overall survival of colorectal cancer patients were evaluated by Kaplan-Meier analysis, and univariate and multivariate analysis were performed by Cox proportional-hazards model. Our results revealed that PVT1 expression in cancer tissues of colorectal cancer was significantly higher than that of adjacent tissues ( Pcolorectal cancer patients, whether at TNM I/II stage or at TNM III/IV stage. A multivariate Cox regression analysis demonstrated that high PVT1 expression was an independent predictor of poor prognosis in colorectal cancer patients. Our results suggest that high PVT1 expression might be a potential biomarker for assessing tumor recurrence and prognosis in colorectal cancer patients.

Elevated C-reactive protein in the diagnosis, prognosis, and cause of cancer

DEFF Research Database (Denmark)

Allin, Kristine H; Nordestgaard, Børge G

2011-01-01

The aim of this review is to summarize present evidence of an association between circulating levels of C-reactive protein (CRP) and cancer risk, and to evaluate whether elevated circulating CRP levels cause cancer. Additionally, the review provides background information on the acute......-phase response, chronic inflammation, the molecular biology, function and measurement of CRP, circulating levels of CRP in health and disease, the principle of Mendelian randomization, the association between circulating levels of CRP and cancer prognosis, and cancer biomarkers. In the Copenhagen General...... increased risk of death from breast cancer compared to patients with CRP levels...

[Use of micro RNAs in the diagnosis and prognosis of colorectal cancer (CCR)].

Science.gov (United States)

Arredondo-Valdez, Abril Reneé; Wence-Chavez, Laura; Rosales-Reynoso, Mónica Alejandra

2016-01-01

The aim of this review is to present a general overview about the importance of micro RNAs (miRNAs) in colorectal carcinoma. First, we focused on the mechanisms whereby the miRNAs regulate the expression of target genes, and how an altered regulation of them is associated with several types of cancer, including colorectal carcinoma. Later, examples of some miRNAs that have been associated with cancer development and how the expression patterns of specific miRNAs can be used as potential biomarkers for prognosis, diagnosis and therapeutic outcome in colorectal carcinoma are addressed. Finally, several polymorphisms presents in the miRNAs that have been associated to risk and prognosis in colorectal carcinoma are described.

Body Mass Index, Diet-Related Factors, and Bladder Cancer Prognosis: A Systematic Review and Meta-Analysis

NARCIS (Netherlands)

Westhoff, E.; Witjes, J.A.; Fleshner, N.E.; Lerner, S.P.; Shariat, S.F.; Steineck, G.; Kampman, E.; Kiemeney, L.A.L.M.; Vrieling, A.

2018-01-01

Background: Urologists are frequently confronted with questions of urinary bladder cancer (UBC) patients about what they can do to improve their prognosis. Unfortunately, it is largely unknown which lifestyle factors can influence prognosis. Objective: To systematically review the available evidence

Galectin-3 expression in colorectal cancer and its correlation with clinical pathological characteristics and prognosis

Directory of Open Access Journals (Sweden)

Tao Liu

2017-07-01

Full Text Available To explore the expression levels of galectin-3 in colorectal cancer and the association between galectin-3 and its clinical pathological parameters, as well as the prognosis of colorectal cancer patients.

Potential Role of Circulating MiR-21 in the Diagnosis and Prognosis of Digestive System Cancer: A Systematic Review and Meta-Analysis.

Science.gov (United States)

Yin, Chengqiang; Zhou, Xiaoying; Dang, Yini; Yan, Jin; Zhang, Guoxin

2015-12-01

Recent evidences indicate that circulating microRNAs (miRNAs) exhibit aberrant expression in the plasma of patients suffering from cancer compared to normal individuals, suggesting that it may be a useful noninvasion diagnostic method. MiR-21 plays crucial roles in carcinogenesis and can be served as a biomarker for the detection of various cancers. Therefore, the aim of this meta-analysis is to assess the potential role of miR-21 for digestive system cancer. By searching the PubMed, Embase, and Web of Science for publications concerning the diagnostic value of miR-21 for digestive system cancer, total of 23 publications were included in this meta-analysis. Receiver operating characteristic curves (ROC) were used to check the overall test performance. For prognostic meta-analysis, pooled hazard ratios (HRs) of circulating miR-21 for survival were calculated. Totally 23 eligible publications were included in this meta-analysis (15 articles for diagnosis and 8 articles for prognosis). For diagnostic meta-analysis, the summary estimates revealed that the pooled sensitivity and specificity were 0.76 (95% CI = 0.70-0.82) and 0.84 (95% CI = 0.78-0.89). Besides, the area under the summary ROC curve (AUC) is 0.87. For prognostic meta-analysis, the pooled HR of higher miR-21 expression in circulation was 1.94 (95% CI = 0.99-3.82, P = 0.055), which indicated higher miR-21 expression could be likely to predict poorer survival in digestive system cancer. The subgroup analysis implied the higher expression of miR-21 was correlated with worse overall survival in the Asian population in digestive system cancer (HR = 2.41, 95% CI = 1.21-4.77, P = 0.012). The current evidence suggests circulating miR-21 may be suitable to be a diagnostic and prognostic biomarker for digestive system cancer in the Asians.

Radiogenomics: Creating a link between molecular diagnostics and diagnostic imaging

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Rutman, Aaron M. [Department of Radiology, University of California San Diego Medical Center, San Diego, CA 92103 (United States); Kuo, Michael D. [Department of Radiology, University of California San Diego Medical Center, San Diego, CA 92103 (United States); Center for Translational Medical Systems, University of California San Diego Medical Center, San Diego, CA 92103 (United States)], E-mail: mkuo@ucsd.edu

2009-05-15

Studies employing high-throughput biological techniques have recently contributed to an improved characterization of human cancers, allowing for novel sub-classification, better diagnostic accuracy, and more precise prognostication. However, requirement of surgical procurement of tissue among other things limits the clinical application of such methods in everyday patient care. Radiographic imaging is routine in clinical practice but is currently histopathology based. The use of routine radiographic imaging provides a potential platform for linking specific imaging traits with specific gene expression patterns that inform the underlying cellular pathophysiology; imaging features could then serve as molecular surrogates that contribute to the diagnosis, prognosis, and likely gene-expression-associated treatment response of various forms of human cancer. This review focuses on high-throughput methods such as microarray analysis of gene expression, their role in cancer research, and in particular, on novel methods of associating gene expression patterns with radiographic imaging phenotypes, known as 'radiogenomics.' These findings underline a potential future role of both diagnostic and interventional radiologists in genetic assessment of cancer patients with radiographic imaging studies.

Radiogenomics: Creating a link between molecular diagnostics and diagnostic imaging

International Nuclear Information System (INIS)

Rutman, Aaron M.; Kuo, Michael D.

2009-01-01

Studies employing high-throughput biological techniques have recently contributed to an improved characterization of human cancers, allowing for novel sub-classification, better diagnostic accuracy, and more precise prognostication. However, requirement of surgical procurement of tissue among other things limits the clinical application of such methods in everyday patient care. Radiographic imaging is routine in clinical practice but is currently histopathology based. The use of routine radiographic imaging provides a potential platform for linking specific imaging traits with specific gene expression patterns that inform the underlying cellular pathophysiology; imaging features could then serve as molecular surrogates that contribute to the diagnosis, prognosis, and likely gene-expression-associated treatment response of various forms of human cancer. This review focuses on high-throughput methods such as microarray analysis of gene expression, their role in cancer research, and in particular, on novel methods of associating gene expression patterns with radiographic imaging phenotypes, known as 'radiogenomics.' These findings underline a potential future role of both diagnostic and interventional radiologists in genetic assessment of cancer patients with radiographic imaging studies.

Overexpression of ezrin and galectin-3 as predictors of poor prognosis of cervical cancer

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M. Li

Full Text Available The aim of this study was to explore the correlation of ezrin and galectin-3 expressions with prognosis in cervical cancer. The immunohistochemical method was applied to detect ezrin and galectin-3 expressions in normal cervix tissues (n=30, cervicitis tissues (n=28, cervical intraepithelial neoplasia (CIN tissues (classified as I-III, n=89, and cervical carcinoma tissues (n=84. Follow-up was conducted for 5 to 78 months to analyze the correlation of protein expressions with prognosis. Ezrin and galectin-3 expressions in cervical cancer were significantly higher than in normal cervix, cervicitis and CIN (all P<0.05, and expressions in CIN were significantly higher than in normal cervix and cervicitis (both P<0.05. The expressions of ezrin and galectin-3 were both related with histological grade, deep myometrial invasion and lymph node metastasis (all P<0.05. Spearman analysis showed that ezrin expression was positively correlated with galectin-3 expression in cervical cancer (r=0.355, P<0.05. The survival rate of patients with high expressions of ezrin and galectin-3 was significantly lower than those with low expressions of proteins (both P<0.05. The expressions of ezrin and galectin-3, histological grade, depth of stromal invasion, and lymph node metastasis are risk factors affecting the survival rate of patients with cervical cancer. The expressions of ezrin and galectin-3 were correlated with the development of cervical cancer, and overexpressions of those proteins were indicative of poor prognosis in patients with cervical cancer.

The Role of Epigenomics in the Study of Cancer Biomarkers and in the Development of Diagnostic Tools.

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Verma, Mukesh

2015-01-01

Epigenetics plays a key role in cancer development. Genetics alone cannot explain sporadic cancer and cancer development in individuals with no family history or a weak family history of cancer. Epigenetics provides a mechanism to explain the development of cancer in such situations. Alterations in epigenetic profiling may provide important insights into the etiology and natural history of cancer. Because several epigenetic changes occur before histopathological changes, they can serve as biomarkers for cancer diagnosis and risk assessment. Many cancers may remain asymptomatic until relatively late stages; in managing the disease, efforts should be focused on early detection, accurate prediction of disease progression, and frequent monitoring. This chapter describes epigenetic biomarkers as they are expressed during cancer development and their potential use in cancer diagnosis and prognosis. Based on epigenomic information, biomarkers have been identified that may serve as diagnostic tools; some such biomarkers also may be useful in identifying individuals who will respond to therapy and survive longer. The importance of analytical and clinical validation of biomarkers is discussed, along with challenges and opportunities in this field.

A novel model to combine clinical and pathway-based transcriptomic information for the prognosis prediction of breast cancer.

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Sijia Huang

2014-09-01

Full Text Available Breast cancer is the most common malignancy in women worldwide. With the increasing awareness of heterogeneity in breast cancers, better prediction of breast cancer prognosis is much needed for more personalized treatment and disease management. Towards this goal, we have developed a novel computational model for breast cancer prognosis by combining the Pathway Deregulation Score (PDS based pathifier algorithm, Cox regression and L1-LASSO penalization method. We trained the model on a set of 236 patients with gene expression data and clinical information, and validated the performance on three diversified testing data sets of 606 patients. To evaluate the performance of the model, we conducted survival analysis of the dichotomized groups, and compared the areas under the curve based on the binary classification. The resulting prognosis genomic model is composed of fifteen pathways (e.g., P53 pathway that had previously reported cancer relevance, and it successfully differentiated relapse in the training set (log rank p-value = 6.25e-12 and three testing data sets (log rank p-value < 0.0005. Moreover, the pathway-based genomic models consistently performed better than gene-based models on all four data sets. We also find strong evidence that combining genomic information with clinical information improved the p-values of prognosis prediction by at least three orders of magnitude in comparison to using either genomic or clinical information alone. In summary, we propose a novel prognosis model that harnesses the pathway-based dysregulation as well as valuable clinical information. The selected pathways in our prognosis model are promising targets for therapeutic intervention.

Mining novel biomarkers for prognosis of gastric cancer with serum proteomics

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Sui Mei-Hua

2009-09-01

Full Text Available Abstract Background Although gastric caner (GC remains the second cause of cancer-related death, useful biomarkers for prognosis are still unavailable. We present here the attempt of mining novel biomarkers for GC prognosis by using serum proteomics. Methods Sera from 43 GC patients and 41 controls with gastritis as Group 1 and 11 GC patients as Group 2 was successively detected by Surface Enhanced Laser Desorption/ionization Time of Flight Mass Spectrometry (SELDI-TOF-MS with Q10 chip. Peaks were acquired by Ciphergen ProteinChip Software 3.2.0 and analyzed by Zhejiang University-ProteinChip Data Analysis System (ZJU-PDAS. CEA level were evaluated by chemiluminescence immunoassay. Results After median follow-up periods of 33 months, Group 1 with 4 GC patients lost was divided into 20 good-prognosis GC patients (overall survival more than 24 months and 19 poor-prognosis GC patients (no more than 24 months. The established prognosis pattern consisted of 5 novel prognosis biomarkers with 84.2% sensitivity and 85.0% specificity, which were significantly higher than those of carcinoembryonic antigen (CEA and TNM stage. We also tested prognosis pattern blindly in Group 2 with 66.7% sensitivity and 80.0% specificity. Moreover, we found that 4474-Da peak elevated significantly in GC and was associated with advanced stage (III+IV and short survival (p Conclusion We have identified a number of novel biomarkers for prognosis prediction of GC by using SELDI-TOF-MS combined with sophisticated bioinformatics. Particularly, elevated expression of 4474-Da peak showed very promising to be developed into a novel biomarker associated with biologically aggressive features of GC.

Prognosis of muscle-invasive bladder cancer: difference between primary and progressive tumours and implications for therapy.

NARCIS (Netherlands)

Schrier, B.P.; Hollander, M.P.; Rhijn, B.W. van; Kiemeney, L.A.L.M.; Witjes, J.A.

2004-01-01

OBJECTIVE: To evaluate the difference in prognosis between progressive and primary muscle-invasive bladder cancer. MATERIALS AND METHODS: From 1986 to 2000, 74 patients with progressive muscle-invasive bladder cancer were identified. Eighty-nine patients with primary muscle-invasive bladder cancer

Stonin 2 Overexpression is Correlated with Unfavorable Prognosis and Tumor Invasion in Epithelial Ovarian Cancer

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Xiaoying Sun

2017-07-01

Full Text Available Stonin 2 (STON2, which functions in adjusting endocytotic complexes, is probably involved in the monitoring of the internalization of dopamine D2 receptors which have an inhibitory action of dopamine on tumor progression. However, its clinical significance in tumor progression and prognosis remains unclear. We explored the association between STON2 and the clinicopathological characteristics of epithelial ovarian cancer (EOC. The STON2 levels in ovarian cancer and normal cell lines and tissues were detected by real-time PCR and Western blot analyses. STON2 protein expression was also detected by an immunohistochemical analysis. The clinical significance of STON2 expression in ovarian cancer was statistically analyzed. STON2 significantly increased in the ovarian cancer cell lines and tissues compared to the normal ones. In the 89 EOC samples tested, STON2 expression was significantly correlated with intraperitoneal metastasis, intestinal metastasis, intraperitoneal recurrence, ascites containing tumor cells, and CA153 level. Moreover, patients with STON2 protein overexpression were more likely to exhibit platinum resistance and to have undergone neoadjuvant chemotherapy. Patients with high STON2 protein expression had a tendency to have a shorter overall survival and a poor prognosis. A multivariate analysis showed that STON2 was an independent prognostic predictor for EOC patients. In conclusion, STON2 plays an important role in the progression and prognosis of ovarian carcinoma, especially in platinum resistance, intraperitoneal metastasis, and recurrence. STON2 can be a novel antitumor drug target and biomarker which predicts an unfavorable prognosis for EOC patients.

Identifying subgroups among poor prognosis patients with nonseminomatous germ cell cancer by tree modelling: a validation study.

NARCIS (Netherlands)

M.R. van Dijk (Merel); E.W. Steyerberg (Ewout); S.P. Stenning; J.D.F. Habbema (Dik)

2004-01-01

textabstractBACKGROUND: In order to target intensive treatment strategies for poor prognosis patients with non-seminomatous germ cell cancer, those with the poorest prognosis should be identified. These patients might profit most from more intensive treatment strategies. For

Machine learning applications in cancer prognosis and prediction.

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Kourou, Konstantina; Exarchos, Themis P; Exarchos, Konstantinos P; Karamouzis, Michalis V; Fotiadis, Dimitrios I

2015-01-01

Cancer has been characterized as a heterogeneous disease consisting of many different subtypes. The early diagnosis and prognosis of a cancer type have become a necessity in cancer research, as it can facilitate the subsequent clinical management of patients. The importance of classifying cancer patients into high or low risk groups has led many research teams, from the biomedical and the bioinformatics field, to study the application of machine learning (ML) methods. Therefore, these techniques have been utilized as an aim to model the progression and treatment of cancerous conditions. In addition, the ability of ML tools to detect key features from complex datasets reveals their importance. A variety of these techniques, including Artificial Neural Networks (ANNs), Bayesian Networks (BNs), Support Vector Machines (SVMs) and Decision Trees (DTs) have been widely applied in cancer research for the development of predictive models, resulting in effective and accurate decision making. Even though it is evident that the use of ML methods can improve our understanding of cancer progression, an appropriate level of validation is needed in order for these methods to be considered in the everyday clinical practice. In this work, we present a review of recent ML approaches employed in the modeling of cancer progression. The predictive models discussed here are based on various supervised ML techniques as well as on different input features and data samples. Given the growing trend on the application of ML methods in cancer research, we present here the most recent publications that employ these techniques as an aim to model cancer risk or patient outcomes.

A new generation of optical diagnostics for bladder cancer: technology, diagnostic accuracy, and future applications

NARCIS (Netherlands)

Cauberg, Evelyne C. C.; de Bruin, Daniël M.; Faber, Dirk J.; van Leeuwen, Ton G.; de La Rosette, Jean J. M. C. H.; de Reijke, Theo M.

2009-01-01

CONTEXT: New developments in optical diagnostics have a potential for less invasive and improved detection of bladder cancer. OBJECTIVE: To provide an overview of the technology and diagnostic yield of recently developed optical diagnostics for bladder cancer and to outline their potential future

Impact of Body Weight and Body Composition on Ovarian Cancer Prognosis.

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Purcell, Sarah A; Elliott, Sarah A; Kroenke, Candyce H; Sawyer, Michael B; Prado, Carla M

2016-02-01

Measures of body weight and anthropometrics such as body mass index (BMI) are commonly used to assess nutritional status in clinical conditions including cancer. Extensive research has evaluated associations between body weight and prognosis in ovarian cancer patients, yet little is known about the potential impact of body composition (fat mass (FM) and fat-free mass (FFM)) in these patients. Thus, the purpose of this publication was to review the literature (using PubMed and EMBASE) evaluating the impact of body weight and particularly body composition on surgical complications, morbidity, chemotherapy dosing and toxicity (as predictors of prognosis), and survival in ovarian cancer patients. Body weight is rarely associated with intra-operative complications, but obesity predicts higher rates of venous thromboembolism and wound complications post-operatively in ovarian cancer patients. Low levels of FM and FFM are superior predictors of length of hospital stay compared to measures of body weight alone, but the role of body composition on other surgical morbidities is unknown. Obesity complicates chemotherapy dosing due to altered pharmacokinetics, imprecise dosing strategies, and wide variability in FM and FFM. Measurement of body composition has the potential to reduce toxicity if the results are incorporated into chemotherapy dosing calculations. Some findings suggest that excess body weight adversely affects survival, while others find no such association. Limited studies indicate that FM is a better predictor of survival than body weight in ovarian cancer patients, but the direction of this relationship has not been determined. In conclusion, body composition as an indicator of nutritional status is a better prognostic tool than body weight or BMI alone in ovarian cancer patients.

AAPT Diagnostic Criteria for Chronic Cancer Pain Conditions.

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Paice, Judith A; Mulvey, Matt; Bennett, Michael; Dougherty, Patrick M; Farrar, John T; Mantyh, Patrick W; Miaskowski, Christine; Schmidt, Brian; Smith, Thomas J

2017-03-01

Chronic cancer pain is a serious complication of malignancy or its treatment. Currently, no comprehensive, universally accepted cancer pain classification system exists. Clarity in classification of common cancer pain syndromes would improve clinical assessment and management. Moreover, an evidence-based taxonomy would enhance cancer pain research efforts by providing consistent diagnostic criteria, ensuring comparability across clinical trials. As part of a collaborative effort between the Analgesic, Anesthetic, and Addiction Clinical Trial Translations, Innovations, Opportunities, and Networks (ACTTION) and the American Pain Society (APS), the ACTTION-APS Pain Taxonomy initiative worked to develop the characteristics of an optimal diagnostic system. After the establishment of these characteristics, a working group consisting of clinicians and clinical and basic scientists with expertise in cancer and cancer-related pain was convened to generate core diagnostic criteria for an illustrative sample of 3 chronic pain syndromes associated with cancer (ie, bone pain and pancreatic cancer pain as models of pain related to a tumor) or its treatment (ie, chemotherapy-induced peripheral neuropathy). A systematic review and synthesis was conducted to provide evidence for the dimensions that comprise this cancer pain taxonomy. Future efforts will subject these diagnostic categories and criteria to systematic empirical evaluation of their feasibility, reliability, and validity and extension to other cancer-related pain syndromes. The ACTTION-APS chronic cancer pain taxonomy provides an evidence-based classification for 3 prevalent syndromes, namely malignant bone pain, pancreatic cancer pain, and chemotherapy-induced peripheral neuropathy. This taxonomy provides consistent diagnostic criteria, common features, comorbidities, consequences, and putative mechanisms for these potentially serious cancer pain conditions that can be extended and applied with other cancer

Prevalence and prognosis of synchronous colorectal cancer: a Dutch population-based study

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Mulder, S.F.; Kranse, R.; Damhuis, R.A.; Wilt, J.H. de; Ouwendijk, R.J.; Kuipers, E.J.; Leerdam, M.E. van

2011-01-01

BACKGROUND: A noticeable proportion of colorectal cancer (CRC) patients are diagnosed with synchronous CRC. Large population-based studies on the incidence, risk factors and prognosis of synchronous CRC are, however, scarce, and are needed for better determination of risks of synchronous CRC in

Lgr5 Methylation in Cancer Stem Cell Differentiation and Prognosis-Prediction in Colorectal Cancer.

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Shasha Su

Full Text Available Leucine-rich-repeat-containing G-protein-coupled receptor 5 (lgr5 is a candidate marker for colorectal cancer stem cells (CSC. In the current study, we investigated the methylation status within thelgr5 promoter and evaluated its relationship with CSC differentiation, prognosis for colorectal cancer, and its clinicopathological features.The methylation status within Lgr5 promoter was detected with a methylation-specific PCR in six colorectal cancer cell lines as well as 169 primary colorectal tumor tissues. Differentiation of CSC was examined with immunofluorescence and immunocytochemistry. Down-regulation of lgr5 was achieved with gene-specific siRNA. The associations between lgr5 methylation and the clinicopathological features as well as survival of patients were analyzed with statistical methods.The lgr5 promoter was methylated to different degrees for the six colorectal cell lines examined, with complete methylation observed in HCT116 cells in which the lgr5 expression was partially recovered following DAC treatment. The stem-cell sphere formation from HCT116 cells was accompanied by increasing methylation within the lgr5 promoter and decreasing expression of lgr5. Knocking down lgr5 by siRNA also led to stem-cell spheres formation. Among primary colorectal tumors, 40% (67/169 were positive for lgr5 methylation, while none of the normal colon tissues were positive for lgr5 methylation. Furthermore, lgr5 methylation significantly associated with higher tumor grade, and negative distant metastasis (p < 0.05, as well as better prognosis (p = 0.001 in patients with colorectal cancer.Our data suggests that lgr5 methylation, through the regulation of lgr5 expression and colorectal CSC differentiation, may constitute a novel prognostic marker for colorectal cancer patients.

Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods

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2013-01-01

Background Machine learning techniques are becoming useful as an alternative approach to conventional medical diagnosis or prognosis as they are good for handling noisy and incomplete data, and significant results can be attained despite a small sample size. Traditionally, clinicians make prognostic decisions based on clinicopathologic markers. However, it is not easy for the most skilful clinician to come out with an accurate prognosis by using these markers alone. Thus, there is a need to use genomic markers to improve the accuracy of prognosis. The main aim of this research is to apply a hybrid of feature selection and machine learning methods in oral cancer prognosis based on the parameters of the correlation of clinicopathologic and genomic markers. Results In the first stage of this research, five feature selection methods have been proposed and experimented on the oral cancer prognosis dataset. In the second stage, the model with the features selected from each feature selection methods are tested on the proposed classifiers. Four types of classifiers are chosen; these are namely, ANFIS, artificial neural network, support vector machine and logistic regression. A k-fold cross-validation is implemented on all types of classifiers due to the small sample size. The hybrid model of ReliefF-GA-ANFIS with 3-input features of drink, invasion and p63 achieved the best accuracy (accuracy = 93.81%; AUC = 0.90) for the oral cancer prognosis. Conclusions The results revealed that the prognosis is superior with the presence of both clinicopathologic and genomic markers. The selected features can be investigated further to validate the potential of becoming as significant prognostic signature in the oral cancer studies. PMID:23725313

Cancer Care Coordinators to Improve Tamoxifen Persistence in Breast Cancer: How Heterogeneity in Baseline Prognosis Impacts on Cost-Effectiveness.

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Nair, Nisha; Kvizhinadze, Giorgi; Blakely, Tony

2016-12-01

To assess the cost-effectiveness of a cancer care coordinator (CCC) in helping women with estrogen receptor positive (ER+) early breast cancer persist with tamoxifen for 5 years. We investigated the cost-effectiveness of a CCC across eight breast cancer subtypes, defined by progesterone receptor (PR) status, human epidermal growth factor receptor 2 (HER2) status, and local/regional spread. These subtypes range from excellent to poorer prognoses. The CCC helped in improving tamoxifen persistence by providing information, checking-in by phone, and "troubleshooting" concerns. We constructed a Markov macrosimulation model to estimate health gain (in quality-adjusted life-years or QALYs) and health system costs in New Zealand, compared with no CCC. Participants were modeled until death or till the age of 110 years. Some input parameters (e.g., the impact of a CCC on tamoxifen persistence) had sparse evidence. Therefore, we used estimates with generous uncertainty and conducted sensitivity analyses. The cost-effectiveness of a CCC for regional ER+/PR-/HER2+ breast cancer (worst prognosis) was NZ $23,400 (US $15,800) per QALY gained, compared with NZ $368,500 (US $248,800) for local ER+/PR+/HER2- breast cancer (best prognosis). Using a cost-effectiveness threshold of NZ $45,000 (US $30,400) per QALY, a CCC would be cost-effective only in the four subtypes with the worst prognoses. There is value in investigating cost-effectiveness by different subtypes within a disease. In this example of breast cancer, the poorer the prognosis, the greater the health gains from a CCC and the better the cost-effectiveness. Incorporating heterogeneity in a cost-utility analysis is important and can inform resource allocation decisions. It is also feasible to undertake in practice. Copyright © 2016 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Understanding Cancer Prognosis

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Full Text Available ... how to discuss prognosis with their patients. Good communication, he says, is part of providing good ... Please note that blog posts that are written by individuals from outside the ...

Single-cell proteomics: potential implications for cancer diagnostics.

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Gavasso, Sonia; Gullaksen, Stein-Erik; Skavland, Jørn; Gjertsen, Bjørn T

2016-01-01

Single-cell proteomics in cancer is evolving and promises to provide more accurate diagnoses based on detailed molecular features of cells within tumors. This review focuses on technologies that allow for collection of complex data from single cells, but also highlights methods that are adaptable to routine cancer diagnostics. Current diagnostics rely on histopathological analysis, complemented by mutational detection and clinical imaging. Though crucial, the information gained is often not directly transferable to defined therapeutic strategies, and predicting therapy response in a patient is difficult. In cancer, cellular states revealed through perturbed intracellular signaling pathways can identify functional mutations recurrent in cancer subsets. Single-cell proteomics remains to be validated in clinical trials where serial samples before and during treatment can reveal excessive clonal evolution and therapy failure; its use in clinical trials is anticipated to ignite a diagnostic revolution that will better align diagnostics with the current biological understanding of cancer.

Downregulation of tumor suppressor QKI in gastric cancer and its implication in cancer prognosis

International Nuclear Information System (INIS)

Bian, Yongqian; Wang, Li; Lu, Huanyu; Yang, Guodong; Zhang, Zhang; Fu, Haiyan; Lu, Xiaozhao; Wei, Mengying; Sun, Jianyong; Zhao, Qingchuan; Dong, Guanglong; Lu, Zifan

2012-01-01

Highlights: ► QKI expression is decreased in gastric cancer samples. ► Promoter hyper methylation contributes to the downregulation of QKI. ► QKI inhibits the growth of gastric cancer cells. ► Decreased QKI expression predicts poor survival. -- Abstract: Gastric cancer (GC) is the fourth most common cancer and second leading cause of cancer-related death worldwide. RNA-binding protein Quaking (QKI) is a newly identified tumor suppressor in multiple cancers, while its role in GC is largely unknown. Our study here aimed to clarify the relationship between QKI expression with the clinicopathologic characteristics and the prognosis of GC. In the 222 GC patients’ specimens, QKI expression was found to be significantly decreased in most of the GC tissues, which was largely due to promoter hypermethylation. QKI overexpression reduced the proliferation ability of GC cell line in vitro study. In addition, the reduced QKI expression correlated well with poor differentiation status, depth of invasion, gastric lymph node metastasis, distant metastasis, advanced TNM stage, and poor survival. Multivariate analysis showed QKI expression was an independent prognostic factor for patient survival.

Galectin-3 expression in colorectal cancer and its correlation with clinical pathological characteristics and prognosis

OpenAIRE

Tao Liu; Jin Li; Dechun Li; Hongqiang Yang; Changhua Kou; Guijun Lei

2017-01-01

Abstract Objective To explore the expression levels of galectin-3 in colorectal cancer and the association between galectin-3 and its clinical pathological parameters, as well as the prognosis of colorectal cancer patients. Methods An immunohistochemistry assay was used to test the expression levels of galectin-3 in cancer tissues of 61 colorectal cancer cases and in normal intestinal tissues adjacent to the cancer tissues of 23 cases. The associations between protein expression levels of gal...

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

Institute of Scientific and Technical Information of China (English)

Dehong Yang; Hong Liu; Jing Zhao

2008-01-01

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

Understanding Cancer Prognosis

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Full Text Available ... M.D., a national expert on doctor-patient communications, talks with one of his patients about what ... how to discuss prognosis with their patients. Good communication, he says, is part of providing good care. ...

Understanding Cancer Prognosis

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Full Text Available ... of survival. The estimate of how the disease will go for you is called prognosis. It can ... they cannot be used to predict exactly what will happen to you. Everyone is different. Treatments and ...

Understanding Cancer Prognosis

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Full Text Available ... Many people want to know their prognosis. They find it easier to cope when they know more ... this information on your own. Or, you may find statistics confusing and frightening, and think they are ...

Understanding Cancer Prognosis

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Full Text Available ... D., a national expert on doctor-patient communications, talks with one of his patients about what she' ... understand what prognosis means and also hard to talk about, even for doctors. Many Factors Can Affect ...

Understanding Cancer Prognosis

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Full Text Available ... manage treatment side effects How to deal with financial and legal matters Many people want to know ... most about your situation is in the best position to discuss your prognosis and explain what the ...

Influence of aspirin and non-aspirin NSAID use on ovarian and endometrial cancer: Summary of epidemiologic evidence of cancer risk and prognosis.

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Verdoodt, F; Kjaer, S K; Friis, S

2017-06-01

Increasing evidence supports a role for aspirin use in reducing the incidence and mortality of several cancer types. This has spurred a new wave of interest in this widely used drug. In this review, we present and evaluate the epidemiologic evidence of the association between the use of aspirin and other non-steroidal anti-inflammatory drugs (NSAIDs) and the incidence and prognosis of ovarian and endometrial cancer. The evidence of a preventive effect of NSAID use on risk of ovarian or endometrial cancer is based primarily on results from observational studies and, consequently, is only suggestive. Overall, observational studies indicate modest reductions in risk of ovarian and endometrial cancer with aspirin use, whereas the results for non-aspirin NSAID use are equivocal. The strongest inverse associations have been reported for long-term consistent aspirin use, notably among subgroups of users (e.g., those with high body mass index). Few studies have evaluated the influence of NSAID use on the mortality of ovarian or endometrial cancer, and substantial heterogeneity of study characteristics and results preclude any conclusions. Additional studies of aspirin and non-aspirin NSAID use and ovarian or endometrial cancer risk and prognosis are warranted. In the present review, we discuss the importance of comprehensive exposure definitions (i.e., duration, timing, consistency and intensity/dose) and evaluation of potential effect modification according to user characteristics, with the aim of identifying women who may experience the largest benefit of aspirin or non-aspirin NSAID use on risk or prognosis of ovarian and endometrial cancer. Copyright © 2017 Elsevier B.V. All rights reserved.

Impact of long-term antihypertensive and antidiabetic medications on the prognosis of post-surgical colorectal cancer: the Fujian prospective investigation of cancer (FIESTA) study.

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Peng, Feng; Hu, Dan; Lin, Xiandong; Liang, Binying; Chen, Ying; Zhang, Hejun; Xia, Yan; Lin, Jinxiu; Zheng, Xiongwei; Niu, Wenquan

2018-05-24

Hypertension and diabetes mellitus are common comorbidities of colorectal cancer. We designed a prospective cohort study aiming to investigate the impact of long-term antihypertensive and antidiabetic medications on colorectal cancer-specific survival and recurrence among 713 post-surgical patients. All participants received radical resection for colorectal cancer during 2000-08, and they were followed up until July 2017. Colorectal cancer patients without hypertension had better survival than those with hypertension (median survival time [MST]: 190.3 months versus 99.0 months, p colorectal cancer survival was statistically significant, that is, patients receiving antidiabetic medications had longer survival time than untreated diabetic patients (MST: 135.8 months versus 80.2 months, p : 0.007), whereas the prognosis was greatly improved in colorectal cancer patients without diabetes mellitus ( p colorectal cancer relative to those without medications, respectively. Our data indicate that long-term antidiabetic medications can significantly prolong the survival and improve the prognosis of post-surgical colorectal cancer.

Breaking bad news: Effects of forecasting diagnosis and framing prognosis.

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Porensky, Emily K; Carpenter, Brian D

2016-01-01

Research to support guidelines for breaking bad news is lacking. This study used an experimental paradigm to test two communication strategies, forecasting bad news and framing prognosis, in the context of cancer. In a 2×2 design, 128 participants received bad news in a hypothetical consultation. A videotaped physician presented diagnostic and prognostic information, varying warning (warning shot vs. no warning), and framing (positive vs. negative). Effects on psychological distress, recall accuracy, and subjective interpretations of the news were assessed. Warning was not associated with lower psychological distress or improved recall. Individuals who heard a positively-framed prognosis had significantly less psychological distress, rated their prognosis better, and were more hopeful than those who heard a negatively-framed prognosis. However, they also showed a trend toward reduced accuracy in recalling prognostic statistics. Results contribute to a growing body of literature exploring optimal approaches for communicating bad news in health care. Although research in clinical settings is needed to bolster results, findings suggest that when providers use positive framing to reduce distress about prognosis, they should also consider ways to overcome potential reductions in recall accuracy, such as repeating statistical information or supplementing with written information. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Prognosis of breast cancer is associated with one-carbon metabolism related nutrients among Korean women

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Lee Yunhee

2012-08-01

Full Text Available Abstract Background The 5-year survival rate for breast cancer among Korean women has increased steadily; however, breast cancer remains the leading cause of cancer mortality among women. One-carbon metabolism, which requires an adequate supply of methyl group donors and B vitamins, may affect the prognosis of breast cancer. This aim of this study was to investigate the associations of dietary intake of vitamin B2, vitamin B6 and folate before diagnosis on the prognosis of breast cancer. Methods We assessed the dietary intake using a food frequency questionnaire with 980 women who were newly diagnosed and histopathologically confirmed to have primary breast cancer from hospitals in Korea, and 141 disease progression events occurred. Cox’s proportional hazard regression models were used to estimate the hazard ratio (HR and 95% confidence interval (95% CI adjusting for age, education, recruitment sites, TNM stage, hormone status, nuclear grade and total calorie. Results There was no significant association between any one-carbon metabolism related nutrients (vitamin B2, B6 and folate and the progression of breast cancer overall. However, one-carbon metabolism related nutrients were associated with disease progression in breast cancer patients stratified by subtypes. In ER + and/or PR + breast cancers, no association was observed; however, in ER–/PR– breast cancers, a high intake of vitamin B2 and folate statistically elevated the HR of breast cancer progression (HR = 2.28; 95% CI, 1.20-4.35, HR = 1.84; 95% CI, 1.02-3.32, respectively compared to a low intake. This positive association between the ER/PR status and progression of the disease was profound when the nutrient intakes were categorized in a combined score (Pinteraction = 0.018. In ER–/PR– breast cancers, high combined scores were associated with a significantly poor DFS compared to those belonging to the low score group (HR = 3.84; 95% CI, 1

The relevance of gastric cancer biomarkers in prognosis and pre- and post- chemotherapy in clinical practice.

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Abbas, Muhammad; Habib, Murad; Naveed, Muhammad; Karthik, Kumaragurubaran; Dhama, Kuldeep; Shi, Meiqi; Dingding, Chen

2017-11-01

Gastric cancer (GC) is one among the major cancer types, causing human deaths and present noticeable heterogeneity. The incidences and mortality rates are higher in males in comparison to females with a male to female ratio of 2.3:1. A lot of studies have revealed out the molecular basis, pathogenesis, invasion and metastasis related findings of gastric stomach cancer. Present review encompasses the salient information on various biomarkers for the early diagnosis, treatment and prognosis of gastric cancer elaborate the clinical importance of serum tumor markers in patients with this cancer as well as checking the growths, together with epigenetic changes and genetic polymorphisms. A deep and rigorous search was carried out in Pub Med/MEDLINE using specific key words; "gastric cancer", with "tumor marker". Our search yielded 4947 important reports about related topic from books and articles that were published before the end of August 2017. Conclusively, Scientists are utilizing high time and resource to salvage this nemesis which is of global importance and cause health burden. Classical and novel biomarkers are important for treatment as well as pre- and post- diagnosis of GC. Major causes for GC are cigarette smoking, infection by Helicobacter pylori, atrophic gastritis, sex/gender, and high salt intake. Early diagnoses of GC is important for the management, treatment, pathological diagnoses by stage prognosis and metastatic setting; although the treatment outcome proved to be not much fruitful following chemotherapy, and oral medication with oxaliplatin, capecitabine, cisplatin and 5- fluorouracil (5-FU). More research studies and exploring the practical usage of gastric cancer biomarkers in diagnosis, prognosis and pre- and post- chemotherapy in clinical practice for countering gastric cancers would alleviate to some extent the ill health sufferings of humans being caused by this important and common cancerous condition. Copyright © 2017 Elsevier Masson SAS

AUTOMATED ANALYSIS OF CELL DENSITY IN BREAST CANCER AS AN ADDITIONAL METHOD OF INCREASING OBJECTIVITY AND ACCURACY OF BREAST CANCER PROGNOSIS

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R. M. Paltuev

2017-01-01

Full Text Available Introduction. In the last ten years, it became obvious that on the molecular level breast cancer is a group of heterogenous tumors. The current objective of routine clinical practice of treatment prescription includes accurate disease prognosis for every individual patient and conviction that the risk of breast cancer recurrence after adjuvant hormone therapy without adjuvant chemotherapy doesn’t increase.The study objective is to evaluate how clinical use of risk associated with cell density can in practice improve prognosis of recurrence risk in patients with breast cancer after standard clinical and pathomorphological examinations.Materials and methods. The article analyzes therapy results using data from the cumulative cancer registry of breast cancer diagnosis and treatment of the N.N. Petrov National Medical Research Oncology Center in 2000–2009. The database includes information on diagnosis, treatment, and survival of 5106 patients with breast cancer. Archived material (from 2000 to 2009 from paraffin blocks of the “targeted group” for methods of molecular and genetic profiling was poured into recipient blocks, stained with corresponding antibodies such as widely used ER, PR, HER2/neu, Ki-67 markers as well as poorly studied markers: cell density, р53, CK5/6, CK14, CD4/CD8, p63, EGFR, FOXP3, AR, FOX1.Results. The study of 1118 patients with stage T1–2N0M0 breast cancer has shown that analysis of risk associated with cell density allows to predict disease outcome. Correlation between the marker and the grade of histological malignancy is more rare than for Ki-67 determined in this patient group. As a result, determination of cell density is an additional method to increase objectivity and accuracy of breast cancer prognosis.Conclusions. Automated cell density analysis for breast cancer is almost fully operator-independent which increases accuracy and objectivity of the results. Cell density in breast cancer lower than 3000

Colorectal cancer prognosis depends on T-cell infiltration and molecular characteristics of the tumor.

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Dahlin, Anna M; Henriksson, Maria L; Van Guelpen, Bethany; Stenling, Roger; Oberg, Ake; Rutegård, Jörgen; Palmqvist, Richard

2011-05-01

The aim of this study was to relate the density of tumor infiltrating T cells to cancer-specific survival in colorectal cancer, taking into consideration the CpG island methylator phenotype (CIMP) and microsatellite instability (MSI) screening status. The T-cell marker CD3 was stained by immunohistochemistry in 484 archival tumor tissue samples. T-cell density was semiquantitatively estimated and scored 1-4 in the tumor front and center (T cells in stroma), and intraepithelially (T cells infiltrating tumor cell nests). Total CD3 score was calculated as the sum of the three CD3 scores (range 3-12). MSI screening status was assessed by immunohistochemistry. CIMP status was determined by quantitative real-time PCR (MethyLight) using an eight-gene panel. We found that patients whose tumors were highly infiltrated by T cells (total CD3 score ≥7) had longer survival compared with patients with poorly infiltrated tumors (total CD3 score ≤4). This finding was statistically significant in multivariate analyses (multivariate hazard ratio, 0.57; 95% confidence interval, 0.31-1.00). Importantly, the finding was consistent in rectal cancer patients treated with preoperative radiotherapy. Although microsatellite unstable tumor patients are generally considered to have better prognosis, we found no difference in survival between microsatellite unstable and microsatellite stable (MSS) colorectal cancer patients with similar total CD3 scores. Patients with MSS tumors highly infiltrated by T cells had better prognosis compared with intermediately or poorly infiltrated microsatellite unstable tumors (log rank P=0.013). Regarding CIMP status, CIMP-low was associated with particularly poor prognosis in patients with poorly infiltrated tumors (multivariate hazard ratio for CIMP-low versus CIMP-negative, 3.07; 95% confidence interval, 1.53-6.15). However, some subset analyses suffered from low power and are in need of confirmation by independent studies. In conclusion, patients whose

Association between H3K4 methylation and cancer prognosis: A meta-analysis.

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Li, Simin; Shen, Luyan; Chen, Ke-Neng

2018-05-08

Histone H3 lysine 4 methylation (H3K4 methylation), including mono-methylation (H3K4me1), di-methylation (H3K4me2), or tri-methylation (H3K4me3), is one of the epigenetic modifications to histone proteins, which are related to the transcriptional activation of genes. H3K4 methylation has both tumor inhibiting and promoting effects, and the prognostic value of H3K4 methylation in cancer remains controversial. Therefore, we performed a systematic review and meta-analysis to examine the association between H3K4 methylation and cancer prognosis. A comprehensive search of PubMed, Web of Science, ScienceDirect, Embase, and Ovid databases was conducted to identify studies investigating the association between H3K4 methylation and prognosis of patients with malignant tumors. The data and characteristics of each study were extracted, and the hazard ratio (HR) at a 95% confidence interval (CI) was calculated to estimate the effect. A total of 1474 patients in 10 studies were enrolled in this meta-analysis. The pooled HR of 1.52 (95% CI 1.02-2.26) indicated that patients with a lower level of H3K4me2 expression were expected to have shorter overall survival, while the pooled HR of 0.45 (95% CI 0.27-0.74) indicated that patients with a lower level of H3K4me3 expression were expected to have longer overall survival. This meta-analysis indicates that increased H3K4me3 expression and decreased H3K4me2 expression might be predictive factors of poor prognosis in cancer. Further large cohort studies are needed to confirm these findings. © 2018 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd.

Apoptosis and microvessel density in gastric cancer: correlation with tumor stage and prognosis.

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Aurello, Paolo; Bellagamba, Riccardo; Rossi Del Monte, Simone; D'Angelo, Francesco; Nigri, Giuseppe; Cicchini, Claudia; Ravaioli, Matteo; Ramacciato, Giovanni

2009-12-01

Gastric cancer remains one of the most common human malignancies with a poor prognosis. Apoptosis is known to be a programmed cell death and its inhibition is involved in the unregulated cellular growth that leads to neoplasms. Microvessel density (MVD) has been investigated as a promoting factor for angiogenesis with conflicting results about its relation to survival. The aim of our study was to search a correlation between these factors and some clinicopathological features and prognosis. Identification of apoptotic cells was performed applying the terminal deoxynucleotidyl transferase-mediated deoxyuridine triphosphate nick-end labeling technique and recorded as apoptotic index (A.I.), whereas monoclonal antibodies were used for the study of MVD. A significant correlation was found between low and high A.I. and the subgroup of patients in Stages I and II (P stage (P = 0.036) and to a poorer 5-year overall survival (P gastric cancer.

Radiation-induced neuropathies: collateral damage of improved cancer prognosis

International Nuclear Information System (INIS)

Pradat, Pierre-Francois; Maisonobe, Thierry; Psimaras, Dimitri; Lenglet, Timothee; Porcher, Raphael; Lefaix, J.L.; Delenian, S.

2012-01-01

Because of the improvement of cancer prognosis, long-term damages of treatments become a medical and public health problem. Among the iatrogenic complications, neurological impairment is crucial to consider since motor disability and pain have a considerable impact on quality of life of long cancer survivors. However, radiation-induced neuropathies have not been the focus of great attention. The objective of this paper is to provide an updated review about the radiation-induced lesions of the peripheral nerve system. Radiation-induced neuropathies are characterized by their heterogeneity in both symptoms and disease course. Signs and symptoms depend on the affected structures of the peripheral nerve system (nerve roots, nerve plexus or nerve trunks). Early-onset complications are often transient and late complications are usually progressive and associated with a poor prognosis. The most frequent and well known is delayed radiation-induced brachial plexopathy, which may follow breast cancer irradiation. Radiation-induced lumbosacral radiculoplexopathy is characterized by pure or predominant lower motor neuron signs. They can be misdiagnosed, confused with amyotrophic lateral sclerosis (ALS) or with leptomeningeal metastases since nodular MRI enhancement of the nerve roots of the cauda equina and increased cerebrospinal fluid protein content can be observed. In the absence of specific markers of the link with radiotherapy, the diagnosis of post-radiation neuropathy may be difficult. Recently, a posteriori conformal radiotherapy with 3D dosimetric reconstitution has been developed to link a precise anatomical site to unexpected excess irradiation. The importance of early diagnosis of radiation-induced neuropathies is underscored by the emergence of new disease-modifying treatments. Although the pathophysiology is not fully understood, it is already possible to target radiation-induced fibrosis but also associated factors such as ischemia, oxidative stress and

Impact of chronic lymphocytic thyroiditis on the prognosis of differentiated thyroid cancer

International Nuclear Information System (INIS)

Boughattas, S.; Chatti, K.; Degdegui, M.; Hasine, H.

2004-01-01

Full text: The association of chronic lymphocytic thyroiditis (CLT) and differentiated thyroid cancer, and its prognosis significance remain controversial. We investigate the prognosis impact of this association by reviewing our series of patients being followed for differentiated thyroid cancer (DTC) at the department of nuclear medicine of Sahloul. Among the 350 patients followed in our department, 30 (8.5%) had histologically proved CLT, with infiltration of the non- tumoral thyroid tissue. A second group of 60 patients (without evidence of lymphocytic infiltration) was selected randomly and used as controls. The median of follow-up for these two groups was 4 years. The frequency of papillary thyroid cancer was significantly higher in the group with CTL (90% vs 74%; p=0.05). The larger diameter of the tumor didn't differ significantly (p= 0.36) between the group with TLC (mean=2.7; SD=1.98) and the control group 3.08 (SD=1.66). There was also no significant difference in capsular infiltration (37% vs 36%; p=0.96), nodal metastases (47% vs 43%; p=0.74), multicentric tumors (37% vs 38%; p=0.99) and bilateral tumors (20% vs 22%; p=0.9). At initial presentation, distant metastases were less frequent in patients with coexisting CLT and DTC (3% vs 12%, p<1%). Nevertheless, if we consider only patients with papillary thyroid cancer, the difference was not statistically significant (0% vs 6%; p=0.23). During the follow-up (mean 4 years), there was no significant difference in nodal relapse (20% vs 8% p=0.1), and distant metastasis (6% vs 3%: p=0.45). No death was noted in the first group, and two were observed in the second (patients with follicular thyroid cancer). The most striking result of this study is the total absence of significant impact of CLT on the prognosis of DTC. Our results seem to be on opposite to those of the majority of authors, underlying the complexity of this entity. We think that some factors specific to our population (iodine diet, ethnical

The Progress of T Cell Immunity Related to Prognosis in Gastric Cancer

OpenAIRE

Ming Wei; Duo Shen; Sachin Mulmi Shrestha; Juan Liu; Junyi Zhang; Ying Yin

2018-01-01

Gastric cancer is the fifth most common malignancy all over the world, and the factors that can affect progress and prognosis of the gastric cancer patients are various, such as TNM stages, invasive depth, and lymph node metastasis ratio. T cell immunity is important component of human immunity system and immunity responding to tumor and dysfunction or imbalance of T cell immunity will lead to serious outcomes for body. T cell immunity includes many different types of cells, CD4+ T cell, CD8+...

Overexpression of BIRC6 Is a Predictor of Prognosis for Colorectal Cancer.

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Tingting Hu

Full Text Available Inhibitors of apoptosis proteins (IAPs have been well investigated in human cancers, where they are frequently overexpressed and associated with poor prognosis. Here we explored the role of baculoviral IAP repeat containing 6 (BIRC6, a member of IAPs, in human colorectal cancer (CRC.We used Western blotting and immunohistochemistry to examine BIRC6 expression in 7 CRC cell lines and 126 CRC clinical samples. We determined the biological significance of BIRC6 in CRC cell lines by a lentivirus-mediated silencing method.We reported that BIRC6 was overexpressed in CRC cell lines and clinical CRC tissues. BIRC6 overexpression was correlated with tumor size and invasion depth of CRC. BIRC6 overexpression is associated with worse overall survival (OS (P = 0.001 and shorter disease-free survival (DFS (P = 0.010. BIRC6 knockdown inhibited cell proliferation, arrested cell cycle at S phase, downregulated cyclin A2, B1, D1 and E1 levels, and sensitized CRC cells to chemotherapy in vitro and in vivo.Taken together, these data suggests that BIRC6 overexpression is a predictor of poor prognosis in colorectal cancer and BIRC6 could be a potential target of CRC therapy.

A systematic analysis of commonly used antibodies in cancer diagnostics.

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Gremel, Gabriela; Bergman, Julia; Djureinovic, Dijana; Edqvist, Per-Henrik; Maindad, Vikas; Bharambe, Bhavana M; Khan, Wasif Ali Z A; Navani, Sanjay; Elebro, Jacob; Jirström, Karin; Hellberg, Dan; Uhlén, Mathias; Micke, Patrick; Pontén, Fredrik

2014-01-01

Immunohistochemistry plays a pivotal role in cancer differential diagnostics. To identify the primary tumour from a metastasis specimen remains a significant challenge, despite the availability of an increasing number of antibodies. The aim of the present study was to provide evidence-based data on the diagnostic power of antibodies used frequently for clinical differential diagnostics. A tissue microarray cohort comprising 940 tumour samples, of which 502 were metastatic lesions, representing tumours from 18 different organs and four non-localized cancer types, was analysed using immunohistochemistry with 27 well-established antibodies used in clinical differential diagnostics. Few antibodies, e.g. prostate-specific antigen and thyroglobulin, showed a cancer type-related sensitivity and specificity of more than 95%. A majority of the antibodies showed a low degree of sensitivity and specificity for defined cancer types. Combinations of antibodies provided limited added value for differential diagnostics of cancer types. The results from analysing 27 diagnostic antibodies on consecutive sections of 940 defined tumours provide a unique repository of data that can empower a more optimal use of clinical immunohistochemistry. Our results highlight the benefit of immunohistochemistry and the unmet need for novel markers to improve differential diagnostics of cancer. © 2013 John Wiley & Sons Ltd.

Circulating carnosine dipeptidase 1 associates with weight loss and poor prognosis in gastrointestinal cancer.

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Peter Arner

Full Text Available Cancer cachexia (CC is linked to poor prognosis. Although the mechanisms promoting this condition are not known, several circulating proteins have been proposed to contribute. We analyzed the plasma proteome in cancer subjects in order to identify factors associated with cachexia.Plasma was obtained from a screening cohort of 59 patients, newly diagnosed with suspected gastrointestinal cancer, with (n = 32 or without (n = 27 cachexia. Samples were subjected to proteomic profiling using 760 antibodies (targeting 698 individual proteins from the Human Protein Atlas project. The main findings were validated in a cohort of 93 patients with verified and advanced pancreas cancer.Only six proteins displayed differential plasma levels in the screening cohort. Among these, Carnosine Dipeptidase 1 (CNDP1 was confirmed by sandwich immunoassay to be lower in CC (p = 0.008. In both cohorts, low CNDP1 levels were associated with markers of poor prognosis including weight loss, malnutrition, lipid breakdown, low circulating albumin/IGF1 levels and poor quality of life. Eleven of the subjects in the discovery cohort were finally diagnosed with non-malignant disease but omitting these subjects from the analyses did not have any major influence on the results.In gastrointestinal cancer, reduced plasma levels of CNDP1 associate with signs of catabolism and poor outcome. These results, together with recently published data demonstrating lower circulating CNDP1 in subjects with glioblastoma and metastatic prostate cancer, suggest that CNDP1 may constitute a marker of aggressive cancer and CC.

Evaluation of the pathological response and prognosis following neoadjuvant chemotherapy in molecular subtypes of breast cancer

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Zhao Y

2015-06-01

Full Text Available Yue Zhao,1 Xiaoqiu Dong,2 Rongguo Li,1 Xiao Ma,1 Jian Song,1 Yingjie Li,3 Dongwei Zhang1 1Department of General Surgery, Second Affiliated Hospital of Harbin Medical University, 2Department of Ultrasonography, Fourth Affiliated Hospital of Harbin Medical University, 3Department of Pathology, Second Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China Background: The pathological complete response of neoadjuvant chemotherapy for breast cancer correlates with the prognosis for survival. Tumors may have different prognoses according to their molecular subtypes. This study was performed to evaluate the relevance of the pathological response and prognosis following neoadjuvant chemotherapy in the molecular subtypes of breast cancer.Methods: A consecutive series of 88 patients with operable breast cancer treated with neoadjuvant chemotherapy was analyzed. Patients were classified into four molecular subtypes based on the immunohistochemistry profile of the estrogen receptor, progesterone receptor, HER2, and Ki-67. The histological response was assessed according to Miller-Payne grading (MPG and Residual Disease in Breast and Nodes (RDBN.Results: Ten patients (11.4% achieved a pathological complete response, assessed according to RDBN. The pathological complete response rate was 13.6% according to MPG. Patients with the triple-negative subtype were more likely to achieve a pathological complete response than those with luminal A breast cancer (P=0.03. MPG and RDBN are independent predictors of distant disease-free survival and local recurrence-free survival, but do not predict overall survival. Ki-67, size of invasive carcinoma, lymph nodes, molecular subtypes, MPG, and RDBN are important predictors of distant disease-free survival, local recurrence-free survival, and overall survival.Conclusion: MPG and RDBN were similarly related to the patient’s prognosis. MPG was more suitable for evaluation of distant disease

CEA A BIOCHEMICAL MARKER FOR DIAGNOSIS AND PROGNOSIS OF GASTROINTESTINAL CANCER

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Prathibha

2016-02-01

Full Text Available Serum tumor markers (TM are widely used for diagnosis and monitoring of treatment of cancer. Carcinoembryonic Antigen (CEA is one of the most widely investigated tumor markers in gastrointestinal (GI cancers. Estimation of circulating tumor markers is a non- invasive quantitative method. Serum levels of CEA were studied for diagnosis and prognosis of gastrointestinal malignancies. 140 subjects were undertaken out of which 35 normal and remaining 105 were GI cancer patients. Serum levels of CEA were analyzed by Enzyme Linked Immunosorbent Assay (ELISA. Result of serum CEA levels of the GI cancer patients and normal subjects were analyzed statistically. It was observed that there was significant increase in (P <0.01 in CEA levels of oesophagus, stomach and colon cancer patients as compared to normal subjects. The levels of CEA decreased significantly after the surgery but the decrease in levels of CEA was not up to the levels as normal control subjects.

Oral Cancer Knowledge and Diagnostic Ability Among Dental Students.

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Hassona, Y; Scully, C; Abu Tarboush, N; Baqain, Z; Ismail, F; Hawamdeh, S; Sawair, F

2017-09-01

The purpose of this study is to examine factors that influence the diagnostic ability of dental students with regards to oral cancer and oral potentially malignant disorders. Dental students at different levels of study were directly interviewed to examine their oral cancer knowledge and diagnostic ability using a validated and pre-tested survey instrument containing validated clinical images of oral cancer and oral potentially malignant disorders. An oral cancer knowledge scale (0 to 31) was generated from correct responses on oral cancer general knowledge, and a diagnostic ability scale (0 to 100) was generated from correct selections of suspicious oral lesions. Knowledge scores ranged from 0 to 27 (mean 10.1 ± 6.0); mean knowledge scores increased with year of study; 5th year students had the highest mean knowledge score (19.1 ± 4.0), while 1st year students had the lowest (5.6 ± 3.5). Diagnostic ability scores increased with year of study and ranged from 0 to 88.5 % (mean 41.8 % ± 15.6). The ability to recognize suspicious oral lesions was significantly correlated with knowledge about oral cancer and oral potentially malignant disorders (r = 0.28; P oral cancer education curricula; increasing students' contact with patients who have oral lesions including oral cancer will help to improve their future diagnostic ability and early detection practices.

A decision-analytic approach to define poor prognosis patients: A case study for non-seminomatous germ cell cancer patients

NARCIS (Netherlands)

M.R. van Dijk (Merel); E.W. Steyerberg (Ewout); J.D.F. Habbema (Dik)

2008-01-01

textabstractBackground. Classification systems may be useful to direct more aggressive treatment to cancer patients with a relatively poor prognosis. The definition of 'poor prognosis' often lacks a formal basis. We propose a decision analytic approach to weigh benefits and harms explicitly to

Sparse Group Penalized Integrative Analysis of Multiple Cancer Prognosis Datasets

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Liu, Jin; Huang, Jian; Xie, Yang; Ma, Shuangge

2014-01-01

SUMMARY In cancer research, high-throughput profiling studies have been extensively conducted, searching for markers associated with prognosis. Because of the “large d, small n” characteristic, results generated from the analysis of a single dataset can be unsatisfactory. Recent studies have shown that integrative analysis, which simultaneously analyzes multiple datasets, can be more effective than single-dataset analysis and classic meta-analysis. In most of existing integrative analysis, the homogeneity model has been assumed, which postulates that different datasets share the same set of markers. Several approaches have been designed to reinforce this assumption. In practice, different datasets may differ in terms of patient selection criteria, profiling techniques, and many other aspects. Such differences may make the homogeneity model too restricted. In this study, we assume the heterogeneity model, under which different datasets are allowed to have different sets of markers. With multiple cancer prognosis datasets, we adopt the AFT (accelerated failure time) model to describe survival. This model may have the lowest computational cost among popular semiparametric survival models. For marker selection, we adopt a sparse group MCP (minimax concave penalty) approach. This approach has an intuitive formulation and can be computed using an effective group coordinate descent algorithm. Simulation study shows that it outperforms the existing approaches under both the homogeneity and heterogeneity models. Data analysis further demonstrates the merit of heterogeneity model and proposed approach. PMID:23938111

The market trend analysis and prospects of cancer molecular diagnostics kits.

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Seo, Ju Hwan; Lee, Joon Woo; Cho, Daemyeong

2018-01-01

The molecular diagnostics market can be broadly divided into PCR (rt-PCR, d-PCR), NGS(Next Generation Sequencing), Microarray, FISH(Fluorescent in situ-hybridization) and other categories, based on the diagnostic technique. Also, depending on the disease being diagnosed, the market can also be divided into cancer, infectious diseases, HIV/STDs (herpes, syphilis), and women's health issues such as breast cancer, cervical cancer, ovarian cancer, HPV(human papillomavirus), and vaginitis.Chromosome analysis (including Fluorescent In-situ Hybridization) is one type of blood cancer diagnostic method, which involves the direct detection of individual cells with chromosomal translocation, but there have been problems of sensitivity when using this method. PCR targeting individual genes or the RT (reverse transcription)-PCR method offers outstanding sensitivity, but one drawback is the risk of false-positive reaction caused by contamination of samples, etc. Blood cancer molecular diagnostics kits allow us to overcome these shortcomings, and related products have been under development, with a focus on improving detection sensitivity, enabling multiple tests, and reducing the cost and diagnostic time. Blood cancer molecular diagnostics is usually performed based on platforms such as PCR. The global market for blood cancer molecular diagnostics kits is $ 335.9 million as of 2016 and is expected to reach $ 6980 million in 2026 with an average annual growth rate of 32.9%. The market in South Korea is anticipated to grow at an average annual rate of 28.9%, from $ 3.75 million as of 2016 to $ 60.89 million in 2026. The Market for blood cancer molecular diagnostics kits is judged to be higher in growth possibility due to the increase in the number of cancer patients.

[Development of the lung cancer diagnostic system].

Science.gov (United States)

Lv, You-Jiang; Yu, Shou-Yi

2009-07-01

To develop a lung cancer diagnosis system. A retrospective analysis was conducted in 1883 patients with primary lung cancer or benign pulmonary diseases (pneumonia, tuberculosis, or pneumonia pseudotumor). SPSS11.5 software was used for data processing. For the relevant factors, a non-factor Logistic regression analysis was used followed by establishment of the regression model. Microsoft Visual Studio 2005 system development platform and VB.Net corresponding language were used to develop the lung cancer diagnosis system. The non-factor multi-factor regression model showed a goodness-of-fit (R2) of the model of 0.806, with a diagnostic accuracy for benign lung diseases of 92.8%, a diagnostic accuracy for lung cancer of 89.0%, and an overall accuracy of 90.8%. The model system for early clinical diagnosis of lung cancer has been established.

p53 and PCNA expression in advanced colorectal cancer: response to chemotherapy and long-term prognosis.

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Paradiso, A; Rabinovich, M; Vallejo, C; Machiavelli, M; Romero, A; Perez, J; Lacava, J; Cuevas, M A; Rodriquez, R; Leone, B; Sapia, M G; Simone, G; De Lena, M

1996-12-20

In a series of 71 patients with advanced colorectal cancer treated with biochemically modulated 5-fluorouracil (5-FU) and methotrexate (MTX), we investigated the relationship between the proliferating-cell nuclear antigen (PCNA) (PC10) and p53 (Pab1801) primary-tumor immunohistochemical expression with respect to clinical response and long-term prognosis. Nuclear p53 expression was demonstrated in 44% of samples (any number of positive tumor cells) while all tumors showed a certain degree of PCNA immunostaining. PCNA immunostaining was correlated with histopathologic grade and p53 expression, while p53 was not correlated with any of the parameters considered. The probability of clinical response to biochemically modulated 5-FU was independent of p53 and PCNA expression. p53 expression (all cut-off values) was not associated with short- or long-term clinical prognosis, whereas patients with higher PCNA primary-tumor expression showed longer survival from treatment and survival from diagnosis, according to univariate and multivariate analysis, particularly in the sub-set of colon-cancer patients. We conclude that the clinical response of advanced-colorectal-cancer patients to biochemically modulated 5-FU and MTX cannot be predicted by PCNA and p53 primary-tumor expression, but high PCNA expression appears to be independently related to long-term prognosis.

Reconsidering the prognosis of major depressive disorder across diagnostic boundaries: full recovery is the exception rather than the rule.

Science.gov (United States)

Verduijn, Judith; Verhoeven, Josine E; Milaneschi, Yuri; Schoevers, Robert A; van Hemert, Albert M; Beekman, Aartjan T F; Penninx, Brenda W J H

2017-12-12

Major depressive disorder (MDD) is often handled as an episodic and isolated disorder, resulting in an optimistic view about its prognosis. Herein, we test the idea that the prognosis of MDD changes if we vary the perspective in terms of (1) a longer time frame and (2) a broader diagnostic conceptualisation including dysthymia, (hypo)mania and anxiety disorders as relevant outcomes. Patients with current MDD at baseline (n = 903) and available 2-, 4-, and/or 6-year follow-up assessments were selected from the Netherlands Study of Depression and Anxiety, a psychiatric cohort study. Combining psychiatric DSM-IV-based diagnoses and life-chart data, patient course trajectories were classified as (1) recovered (no diagnoses at 2-year follow-up or thereafter), (2) recurrent without chronic episodes, (3) recurrent with chronic episodes or (4) consistently chronic since baseline. A chronic episode was defined as having a current diagnosis at the follow-up assessment and consistent symptoms over 2 years. Proportions of course trajectories were provided moving from a short, narrow perspective (2-year follow-up, considering only MDD diagnosis) to a long, broad perspective (6-year follow-up, including MDD, dysthymia, (hypo)mania and anxiety diagnoses). With the short, narrow perspective, the recovery rate was 58% and 21% had a chronic episode. However, in the long, broad perspective the recovery rate was reduced to 17%, while 55% of the patients experienced chronic episodes. Results from a long and rigorous follow-up in a large cohort suggests that most MDD patients have an unfavourable prognosis. Longer follow-up and broader diagnostic conceptualisation show that the majority of patients have a disabling and chronic disorder. Conceptualising and handling MDD as a narrowly defined and episodic disorder may underestimate the prognosis of the majority of depressed patients and, consequently, the type of care that is appropriate.

Emphasis on neoadjuvant therapy for “resectable” pancreatic cancer

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LIU Chang

2015-05-01

Full Text Available The treatment concept for pancreatic cancer is being transferred from “surgery first” to MDT model. The postoperative adjuvant treatment of pancreatic cancer can significantly improve the prognosis of patients and has become the standardized diagnostic and treatment practice; the value and significance of neoadjuvant therapy remains unclear. Limited clinical studies of “borderline resectable” pancreatic cancer have shown that neoadjuvant therapy can improve the R0 resection rate and improve the prognosis of patients, and it is recommended for clinical application. But the significance of neoadjuvant therapy in “resectable” pancreatic cancer is still controversial. There is a lack of consensus on indications, cycles, and regimens. It is necessary to carry out a series of prospective control studies to objectively evaluate the value of neoadjuvant therapy in improving the prognosis of “resectable” pancreatic cancer.

DIAGNOSTIC METHODS IN BREAST CANCER DETECTION

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Kristijana Hertl

2018-02-01

Full Text Available Background. In the world as well as in Slovenia, breast cancer is the most frequent female cancer. Due to its high incidence, it appears to be a serious health and economic problem. Content. Among other, tumour size at diagnosis, is an important prognostic factors of the course of the disease. The probability of axillary lymph node involvement as well as distant metastases is greater in larger tumours. This is the reason that encouraged the development of various diagnostic methods for early detection of small, clinically non-palpable breast tumours. Mammography, however, remains the »golden standard« of early breast cancer detection. It is the basic diagnostic method applied in all symptomatic women over 35 years of age and in asymptomatic women over 40 years of age. Ultrasonography (US, additional projections, magnetic resonance imaging (MRI and ductography are regarded as complementary diagnostic breast imaging techniques in addition to mammography. The detected changes in the breast can be further confirmed by US-, MR-guided or stereotactic biopsy. If necessary, surgical biopsy and the excision of a tissue sample, after wire or isotope localisation of the nonpalpable lesion, can be performed. Conclusions. Any of the above mentioned diagnostic methods has advantages as well as drawbacks and only detailed knowledge and understanding of each of them may assure the best option.

The relationship between statins and breast cancer prognosis varies by statin type and exposure time: a meta-analysis.

Science.gov (United States)

Liu, Binliang; Yi, Zongbi; Guan, Xiuwen; Zeng, Yi-Xin; Ma, Fei

2017-07-01

Breast cancer is the most common cancer in females and the leading cause of death worldwide. The effects of statins on breast cancer prognosis have long been controversial; thus, it is important to investigate the relationship between statin type, exposure time, and breast cancer prognosis. This study sought to explore the effect of statins, as well as the different effects of statin solubility and variable follow-up times, on breast cancer prognosis. We searched the MEDLINE (via PubMed), EMBASE (via OvidSP), Cochrane Library, and ISI Web of Knowledge databases using combinations of the terms "breast neoplasms[MeSH]," "statins" or "lipid-lowering drug," "prognosis" or "survival," or "mortality" or "outcome" with no limit on the publication date. We searched the databases between inception and October 15, 2016. Reference lists of the included studies and relevant reviews were also manually screened. The initial search identified 71 publications, and 7 of these studies, which included a total of 197,048 women, met the selection criteria. Two authors independently screened each study for inclusion and extracted the data. The data were analyzed using Stata/SE 11.0. Overall statin use was associated with lower cancer-specific mortality and all-cause mortality, although the benefit appeared to be constrained by statin type and follow-up time. Lipophilic statins were associated with decreased breast cancer-specific and all-cause mortality; however, hydrophilic statins were weakly protective against only all-cause mortality and not breast cancer-specific mortality. Of note, one group with more than 4 years of follow-up did not show a significant correlation between statin use and cancer-specific mortality or all-cause mortality, whereas groups with less than 4 years of follow-up still showed the protective effect of statins against cancer-specific mortality and all-cause mortality. Although statins can reduce breast cancer patient mortality, the benefit appears to be

Cancer-associated fibroblasts as target and tool in cancer therapeutics and diagnostics.

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De Vlieghere, Elly; Verset, Laurine; Demetter, Pieter; Bracke, Marc; De Wever, Olivier

2015-10-01

Cancer-associated fibroblasts (CAFs) are drivers of tumour progression and are considered as a target and a tool in cancer diagnostic and therapeutic applications. An increased abundance of CAFs or CAF signatures are recognized as a bad prognostic marker in several cancer types. Tumour-environment biomimetics strongly improve our understanding of the communication between CAFs, cancer cells and other host cells. Several experimental drugs targeting CAFs are in clinical trials for multiple tumour entities; alternatively, CAFs can be exploited as a tool to characterize the functionality of circulating tumour cells or to capture them as a tool to prevent metastasis. The continuous interaction between tissue engineers, biomaterial experts and cancer researchers creates the possibility to biomimic the tumour-environment and provides new opportunities in cancer diagnostics and management.

DNA Mismatch Repair Deficiency in Rectal Cancer: Benchmarking Its Impact on Prognosis, Neoadjuvant Response Prediction, and Clinical Cancer Genetics.

Science.gov (United States)

de Rosa, Nicole; Rodriguez-Bigas, Miguel A; Chang, George J; Veerapong, Jula; Borras, Ester; Krishnan, Sunil; Bednarski, Brian; Messick, Craig A; Skibber, John M; Feig, Barry W; Lynch, Patrick M; Vilar, Eduardo; You, Y Nancy

2016-09-01

DNA mismatch repair deficiency (dMMR) hallmarks consensus molecular subtype 1 of colorectal cancer. It is being routinely tested, but little is known about dMMR rectal cancers. The efficacy of novel treatment strategies cannot be established without benchmarking the outcomes of dMMR rectal cancer with current therapy. We aimed to delineate the impact of dMMR on prognosis, the predicted response to fluoropyrimidine-based neoadjuvant therapy, and implications of germline alterations in the MMR genes in rectal cancer. Between 1992 and 2012, 62 patients with dMMR rectal cancers underwent multimodality therapy. Oncologic treatment and outcomes as well as clinical genetics work-up were examined. Overall and rectal cancer-specific survival were calculated by the Kaplan-Meier method. The median age at diagnosis was 41 years. MMR deficiency was most commonly due to alterations in MSH2 (53%) or MSH6 (23%). After a median follow-up of 6.8 years, the 5-year rectal cancer-specific survival was 100% for stage I and II, 85.1% for stage III, and 60.0% for stage IV disease. Fluoropyrimidine-based neoadjuvant chemoradiation was associated with a complete pathologic response rate of 27.6%. The extent of surgical resection was influenced by synchronous colonic disease at presentation, tumor height, clinical stage, and pelvic radiation. An informed decision for a limited resection focusing on proctectomy did not compromise overall survival. Five of the 11 (45.5%) deaths during follow-up were due to extracolorectal malignancies. dMMR rectal cancer had excellent prognosis and pathologic response with current multimodality therapy including an individualized surgical treatment plan. Identification of a dMMR rectal cancer should trigger germline testing, followed by lifelong surveillance for both colorectal and extracolorectal malignancies. We herein provide genotype-specific outcome benchmarks for comparison with novel interventions. © 2016 by American Society of Clinical Oncology.

Heavy smoking history interacts with chemoradiotherapy for esophageal cancer prognosis. A retrospective study

International Nuclear Information System (INIS)

Shitara, Kohei; Hatooka, Shunzo; Matsuo, Keitaro

2010-01-01

Smoking is a well-known risk factor for esophageal cancer. However, there are few reports that directly evaluate smoking as a prognostic factor for esophageal cancer. Moreover, scarce evidence is available on whether smoking interacts with major treatment modalities of esophageal cancer. In this study we retrospectively analyzed 364 patients with esophageal squamous cell cancer who were treated between 2001 and 2005 at our institution. Background characteristics, including smoking history, were analyzed as potential prognostic factors. Of the 363 patients, 76 patients (20.9%) were non-smokers or light smokers (non-heavy), whereas 287 patients (79.1%) were heavy smokers. The 5-year survival rate for non-heavy smokers and heavy smokers was 61.8% (95% confidence interval [CI]: 49.1-72.2) vs 44.6% (95% CI: 38.2-50.9), respectively. In a multivariate Cox model (adjusted for age, gender, performance status, alcohol consumption, histology, tumor length, International Union Against Cancer [UICC] stage, and treatment), the hazard ratio for heavy smokers in comparison with non-heavy smokers was 1.73 (95% CI: 1.12-2.68; P=0.013). When we stratified by treatment method, heavy smoking was significantly associated with poor survival only in patients treated by chemoradiotherapy (hazard ratio, 2.43; 95% CI: 1.38-4.27; P=0.002). More importantly, a statistically significant interaction between heavy smoking history and treatment modality was observed (P=0.041). Our results indicated that smoking history is strongly associated with poor prognosis in patients with esophageal cancer, especially those treated by chemoradiotherapy. Further investigation is warranted to explain this different prognosis. (author)

A comparison of clinicopathological features and prognosis in prostate cancer between atomic bomb survivors and control patients.

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Shoji, Koichi; Teishima, Jun; Hayashi, Tetsutaro; Shinmei, Shunsuke; Akita, Tomoyuki; Sentani, Kazuhiro; Takeshima, Yukio; Arihiro, Koji; Tanaka, Junko; Yasui, Wataru; Matsubara, Akio

2017-07-01

An atomic bomb (A-bomb) was dropped on Hiroshima on 6th August 1945. Although numerous studies have investigated cancer incidence and mortality among A-bomb survivors, only a small number have addressed urological cancer in these survivors. The aim of the present study was to investigate the clinicopathological features of prostate cancer (PCa) in A-bomb survivors. The clinicopathological features and prognosis of PCa were retrospectively reviewed in 212 survivors and 595 control patients between November 1996 and December 2010. The histopathological and clinical outcomes of surgical treatment of PCa were also evaluated in 69 survivors and 162 control patients. Despite the higher age at diagnosis compared with the control group (P=0.0031), survivors were more likely to have been diagnosed with PCa from a health check compared with the control group (Pbomb exposure was not found to be an independent predictor for prognosis by multivariate analysis (OS, P=0.7800; CS, P=0.8688). The clinicopathological features of patients who underwent a prostatectomy were similar except for the diagnosis opportunity between the two groups. Progression-free survival rates were similar between the two groups (P=0.5630). A-bomb exposure was not a significant and independent predictor for worsening of progression-free prognosis by multivariate analysis (P=0.3763). A-bomb exposure does not appear to exert deleterious effects on the biological aggressiveness of PCa and the prognosis of patients with PCa.

The association between individual SNPs or haplotypes of matrix metalloproteinase 1 and gastric cancer susceptibility, progression and prognosis.

Directory of Open Access Journals (Sweden)

Yong-Xi Song

Full Text Available BACKGROUND: The single nucleotide polymorphisms (SNPs in matrix metalloproteinase 1(MMP-1 play important roles in some cancers. This study examined the associations between individual SNPs or haplotypes in MMP-1 and susceptibility, clinicopathological parameters and prognosis of gastric cancer in a large sample of the Han population in northern China. METHODS: In this case-controlled study, there were 404 patients with gastric cancer and 404 healthy controls. Seven SNPs were genotyped using the MALDI-TOF MS system. Then, SPSS software, Haploview 4.2 software, Haplo.states software and THEsias software were used to estimate the association between individual SNPs or haplotypes of MMP-1 and gastric cancer susceptibility, progression and prognosis. RESULTS: Among seven SNPs, there were no individual SNPs correlated to gastric cancer risk. Moreover, only the rs470206 genotype had a correlation with histologic grades, and the patients with GA/AA had well cell differentiation compared to the patients with genotype GG (OR=0.573; 95%CI: 0.353-0.929; P=0.023. Then, we constructed a four-marker haplotype block that contained 4 common haplotypes: TCCG, GCCG, TTCG and TTTA. However, all four common haplotypes had no correlation with gastric cancer risk and we did not find any relationship between these haplotypes and clinicopathological parameters in gastric cancer. Furthermore, neither individual SNPs nor haplotypes had an association with the survival of patients with gastric cancer. CONCLUSIONS: This study evaluated polymorphisms of the MMP-1 gene in gastric cancer with a MALDI-TOF MS method in a large northern Chinese case-controlled cohort. Our results indicated that these seven SNPs of MMP-1 might not be useful as significant markers to predict gastric cancer susceptibility, progression or prognosis, at least in the Han population in northern China.

REG4 independently predicts better prognosis in non-mucinous colorectal cancer.

Directory of Open Access Journals (Sweden)

Tuomas Kaprio

Full Text Available INTRODUCTION: Colorectal cancer (CRC is one of the world's three most common cancers and its incidence is rising. To identify patients who benefit from adjuvant therapy requires novel biomarkers. The regenerating islet-derived gene (REG 4 belongs to a group of small secretory proteins involved in cell proliferation and regeneration. Its up-regulated expression occurs in inflammatory bowel diseases also in gastrointestinal cancers. Reports on the association of REG4 expression with CRC prognosis have been mixed. Our aim was to investigate tumor REG4 expression in CRC patients and its coexpression with other intestinal markers. METHODS: Tumor expression of REG4 was evaluated by immunohistochemistry in 840 consecutive surgically treated CRC patients at Helsinki University Central Hospital. Expression of MUC1, MUC2, MUC5AC, synapthophysin, and chromogranin was evaluated in a subgroup of 220 consecutively operated CRC patients. REG4 expression with clinicopathological parameters, other intestinal markers, and the impact of REG4 expression on survival were assessed. RESULTS: REG4 expression associated with favorable clinicopathological parameters and with higher overall survival from non-mucinous CRC (p = 0.019. For such patients under 65, its expression was an independent marker of lower risk of death within 5 years that cancer; univariable hazard ratio (HR = 0.57; 95% confidence interval (CI (0.34-0.94; multivariable HR = 0.55; 95% CI (0.33-0.92. In non-mucinous CRC, REG4 associated with positive MUC2, MUC4, and MUC5AC expression. CONCLUSION: We show, to our knowledge for the first time, that REG4 IHC expression to be an independent marker of favorable prognosis in non-mucinous CRC. Our results contradict those from studies based on quantification of REG4 mRNA levels, a discrepancy warranting further studies.

Cancer diagnostics: The journey from histomorphology to molecular profiling.

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Ahmed, Atif A; Abedalthagafi, Malak

2016-09-06

Although histomorphology has made significant advances into the understanding of cancer etiology, classification and pathogenesis, it is sometimes complicated by morphologic ambiguities, and other shortcomings that necessitate the development of ancillary tests to complement its diagnostic value. A new approach to cancer patient management consists of targeting specific molecules or gene mutations in the cancer genome by inhibitory therapy. Molecular diagnostic tests and genomic profiling methods are increasingly being developed to identify tumor targeted molecular profile that is the basis of targeted therapy. Novel targeted therapy has revolutionized the treatment of gastrointestinal stromal tumor, renal cell carcinoma and other cancers that were previously difficult to treat with standard chemotherapy. In this review, we discuss the role of histomorphology in cancer diagnosis and management and the rising role of molecular profiling in targeted therapy. Molecular profiling in certain diagnostic and therapeutic difficulties may provide a practical and useful complement to histomorphology and opens new avenues for targeted therapy and alternative methods of cancer patient management.

Key diagnostic information for the oncologist

International Nuclear Information System (INIS)

Zlatareva, D.

2012-01-01

Full text: The radiologists use many modalities for imaging of oncologic patients. In order to get the most out of these imaging studies oncologist have to provide with precise information: what is the working diagnosis, what treatment the patients has had and what is the clinical question should be answered by imaging study. The main indications for imaging are confirmation of diagnosis, evaluation of the patient for surgery or assessment of response to the therapy. These will influence the choice of the test, the protocol and interpretation of the results. Imaging plays a vital role in the management of patients with cancer. It is important not only for diagnosis, indicating sites of abnormality, and guiding biopsies, but it is also crucial in assessing disease extent and thereby determining treatment. The stage of cancer at the time of diagnosis is a key factor to define prognosis and is important element in determining appropriate treatment. The most clinically used cancer staging system is tumor node metastasis (TNM). Stage is determined from information on the tumor, regional nodes, and metastases and by grouping cases with similar prognosis. The criteria for defining anatomic extent of disease are specific for tumors at different anatomic sites and of different histologic types. Therefore, the criteria for T, N and M are defined separately for each tumor and histologic type. For Hodgkin and other lymphomas, a different system for the extent of disease and prognosis is used. It is mandatory for the radiologist to learn TNM system to provide the oncologist with key diagnostic information. Learning objectives: To understand TNM staging system for the most common malignancies To review the changes from the sixth to the seven edition of the American Joint committee on cancer staging manual To describe diagnostic information provided by CT and MRI in preoperative planning and after therapy To discuss the role of PET/CT imaging in oncology

Chemotherapy-induced neutropenia and the prognosis of colorectal cancer: a meta-analysis of cohort studies.

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Tan, XiangZhou; Wen, QiaoCheng; Wang, Ran; Chen, ZhiKang

2017-11-01

Recently, there has been a controversial discussion about the prognostic value of chemotherapy-induced neutropenia (CIN) in colorectal cancer patients. Thus, a meta-analysis was conducted to determine the relationship between CIN and the prognosis of colorectal cancer patients. We searched the PubMed, EMBASE, and Cochrane library databases to identify studies evaluating the association between CIN and colorectal cancer prognosis. Pooled random/fixed effect models were used to calculate pooled hazard ratios (HRs) and 95% confidence intervals (CIs) to assess the association. Eight studies were selected for the meta-analysis, for a total of 2,745 patients. There was significant improved survival among colorectal cancer patients with CIN (HR = 0.62, 95% CI = 0.47-0.76). However, significant heterogeneity was found (p = 0.000, Ι 2  = 75.0%). Through subgroup analysis, we could greatly eliminate the heterogeneity and found that neutropenia was associated with better survival in stage IV colorectal cancer patients, no matter the HR calculated by overall survival (OS) or progression-free survival (PFS). Meanwhile, the prognostic value of neutropenia in stage II/III colorectal cancer can be found when the HR is calculated by disease-free survival (DFS). Additionally, we observed significant differences after stratification according to various tumor stages, endpoints, and the use of G-CSF. Our results which, based on a cohort study, indicate that CIN is associated with improved survival in patients with colorectal cancer. However, further randomized controlled trials are warranted.

2q36.3 is associated with prognosis for oestrogen receptor-negative breast cancer patients treated with chemotherapy

NARCIS (Netherlands)

J. Li (Jingmei); L.S. Lindström (Linda); J.N. Foo (Jia); M. Rafiq (Meena); M.K. Schmidt (Marjanka); P.D.P. Pharoah (Paul); K. Michailidou (Kyriaki); J. Dennis (Joe); M.K. Bolla (Manjeet); Q. Wang (Qing); L.J. van 't Veer (Laura); S. Cornelissen (Sten); E.J.T. Rutgers (Emiel); M.C. Southey (Melissa); C. Apicella (Carmel); G.S. Dite (Gillian); J.L. Hopper (John); P.A. Fasching (Peter); L. Haeberle (Lothar); A.B. Ekici (Arif); M.W. Beckmann (Matthias); C. Blomqvist (Carl); T.A. Muranen (Taru); K. Aittomäki (Kristiina); A. Lindblom (Annika); S. Margolin (Sara); A. Mannermaa (Arto); V-M. Kosma (Veli-Matti); J. Hartikainen (Jaana); V. Kataja (Vesa); G. Chenevix-Trench (Georgia); K. Investigators (Kconfab); K.-A. Phillips (Kelly-Anne); S.-A. McLachlan (Sue-Anne); D. Lambrechts (Diether); B. Thienpont (Bernard); A. Smeets (Ann); H. Wildiers (Hans); J. Chang-Claude (Jenny); D. Flesch-Janys (Dieter); P. Seibold (Petra); A. Rudolph (Anja); G.G. Giles (Graham); L. Baglietto (Laura); G. Severi (Gianluca); C.A. Haiman (Christopher); B.E. Henderson (Brian); F.R. Schumacher (Fredrick); L. Le Marchand (Loic); V. Kristensen (Vessela); G.G. Alnæs (Grethe); A.-L. Borresen-Dale (Anne-Lise); S. Nord (Silje); R. Winqvist (Robert); K. Pykäs (Katri); A. Jukkola-Vuorinen (Arja); M. Grip (Mervi); I.L. Andrulis (Irene); J.A. Knight (Julia); G. Glendon (Gord); S. Tchatchou (Sandrine); P. Devilee (Peter); R.A.E.M. Tollenaar (Rob); C.M. Seynaeve (Caroline); M.J. Hooning (Maartje); M. Kriege (Mieke); A. Hollestelle (Antoinette); A.M.W. van den Ouweland (Ans); Y. Li (Yi); U. Hamann (Ute); D. Torres (Diana); H.U. Ulmer (Hans); T. Rüdiger (Thomas); C-Y. Shen (Chen-Yang); C.-N. Hsiung (Chia-Ni); P.-E. Wu (Pei-Ei); S.-T. Chen (Shou-Tung); S.-H. Teo (Soo-Hwang); N.A.M. Taib (Nur Aishah Mohd); C. Har Yip (Cheng); G. Fuang Ho (Gwo); K. Matsuo (Keitaro); H. Ito (Hidemi); H. Iwata (Hisato); K. Tajima (Kazuo); D. Kang (Daehee); J.-Y. Choi (Ji-Yeob); S.K. Park (Sue); K-Y. Yoo (Keun-Young); T. Maishman (Tom); W. Tapper (William); A.M. Dunning (Alison); M. Shah (Mitul); R.N. Luben (Robert); J. Brown (Judith); C. Chuen Khor (Chiea); D. Eccles (Diana); H. Nevanlinna (Heli); D.F. Easton (Douglas); M.K. Humphreys (Manjeet); J. Liu (Jianjun); P. Hall (Per); K. Czene (Kamila)

2014-01-01

textabstractLarge population-based registry studies have shown that breast cancer prognosis is inherited. Here we analyse single-nucleotide polymorphisms (SNPs) of genes implicated in human immunology and inflammation as candidates for prognostic markers of breast cancer survival involving 1,804

Wnt/catenin β1/microRNA 183 predicts recurrence and prognosis of patients with colorectal cancer.

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Chen, Yuzhuo; Song, Weiliang

2018-04-01

The present study assessed the association between the Wnt/catenin β1 (CTNNB1)/microRNA (miR)183 signaling pathway and the recurrence and prognosis of colorectal cancer. The expression of Wnt, CTNNB1 and miR183 in primary colorectal cancer tissue was increased compared with that in the paracarcinoma tissue. Disease-free survival and overall survival were decreased in patients with colorectal cancer and increased miR183 expression compared with those in patients with colorectal cancer and decreased miR183 expression. The human colorectal cancer cell line HCT-116 was treated with 5 µM inhibitor of Wnt response (IWR-2) for 24 h to inhibit Wnt protein expression. Downregulating Wnt and CTNNB1 expression inhibited the viability of, and induced cell death and caspase 3 protein expression in, HCT-116 cells. The expression of BCL2 associated X protein and miR183 was increased, and cyclin D1 protein expression was suppressed, by the downregulation of Wnt and CTNNB1 expression in HCT-116 cells. Collectively, the results of the present study suggested that the Wnt/CTNNB1/miR183 signaling pathway may represent a promising biomarker for the recurrence and prognosis of colorectal cancer.

Is thrombocytosis a valid indicator of advanced stage and high mortality of gynecological cancer?

DEFF Research Database (Denmark)

Andersen, Christen Bertel L; Eskelund, Christian W.; Siersma, Volkert Dirk

2015-01-01

Objective: Thrombocytosis has been associated with higher stage and mortality of cancer, however, the evidence is conflicting. We examined the stage distribution and prognosis of gynecologic cancer according to levels of prediagnostic platelet count. Methods: In a primary care resource with blood...... may have an important role in diagnosis and post-diagnostic control of gynecological cancer.......Objective: Thrombocytosis has been associated with higher stage and mortality of cancer, however, the evidence is conflicting. We examined the stage distribution and prognosis of gynecologic cancer according to levels of prediagnostic platelet count. Methods: In a primary care resource with blood...... cell counts from more than 500,000 individuals, we identified 581 women with a primary diagnosis of gynecological cancer. We divided the pre-diagnostic mean platelet count derived from the 3-year period prior to cancer diagnosis into three categories of thrombocytosis (no, 150–400 × 109 /L; mild, N400...

Early Diagnosis of Breast Cancer.

Science.gov (United States)

Wang, Lulu

2017-07-05

Early-stage cancer detection could reduce breast cancer death rates significantly in the long-term. The most critical point for best prognosis is to identify early-stage cancer cells. Investigators have studied many breast diagnostic approaches, including mammography, magnetic resonance imaging, ultrasound, computerized tomography, positron emission tomography and biopsy. However, these techniques have some limitations such as being expensive, time consuming and not suitable for young women. Developing a high-sensitive and rapid early-stage breast cancer diagnostic method is urgent. In recent years, investigators have paid their attention in the development of biosensors to detect breast cancer using different biomarkers. Apart from biosensors and biomarkers, microwave imaging techniques have also been intensely studied as a promising diagnostic tool for rapid and cost-effective early-stage breast cancer detection. This paper aims to provide an overview on recent important achievements in breast screening methods (particularly on microwave imaging) and breast biomarkers along with biosensors for rapidly diagnosing breast cancer.

The application of PET and PET-CT in cervical cancer

International Nuclear Information System (INIS)

Huang Jianmin; Pan Liping; Li Dongxue

2007-01-01

Cervical cancer is the common malignancies in woman, 18 F-fluorodeoxyglucose ( 18 F-FDG) PET is a well-established method for detecting, staging, cancer recurrence, therapeutic response and prognosis of cervical cancer. PET-CT can accurately locate the anatomical sites of tracer uptake and improve the diagnostic accuraccy of PET. (authors)

Two FOXP3(+)CD4(+) T cell subpopulations distinctly control the prognosis of colorectal cancers.

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Saito, Takuro; Nishikawa, Hiroyoshi; Wada, Hisashi; Nagano, Yuji; Sugiyama, Daisuke; Atarashi, Koji; Maeda, Yuka; Hamaguchi, Masahide; Ohkura, Naganari; Sato, Eiichi; Nagase, Hirotsugu; Nishimura, Junichi; Yamamoto, Hirofumi; Takiguchi, Shuji; Tanoue, Takeshi; Suda, Wataru; Morita, Hidetoshi; Hattori, Masahira; Honda, Kenya; Mori, Masaki; Doki, Yuichiro; Sakaguchi, Shimon

2016-06-01

CD4(+) T cells that express the forkhead box P3 (FOXP3) transcription factor function as regulatory T (Treg) cells and hinder effective immune responses against cancer cells. Abundant Treg cell infiltration into tumors is associated with poor clinical outcomes in various types of cancers. However, the role of Treg cells is controversial in colorectal cancers (CRCs), in which FOXP3(+) T cell infiltration indicated better prognosis in some studies. Here we show that CRCs, which are commonly infiltrated by suppression-competent FOXP3(hi) Treg cells, can be classified into two types by the degree of additional infiltration of FOXP3(lo) nonsuppressive T cells. The latter, which are distinguished from FOXP3(+) Treg cells by non-expression of the naive T cell marker CD45RA and instability of FOXP3, secreted inflammatory cytokines. Indeed, CRCs with abundant infiltration of FOXP3(lo) T cells showed significantly better prognosis than those with predominantly FOXP3(hi) Treg cell infiltration. Development of such inflammatory FOXP3(lo) non-Treg cells may depend on secretion of interleukin (IL)-12 and transforming growth factor (TGF)-β by tissues and their presence was correlated with tumor invasion by intestinal bacteria, especially Fusobacterium nucleatum. Thus, functionally distinct subpopulations of tumor-infiltrating FOXP3(+) T cells contribute in opposing ways to determining CRC prognosis. Depletion of FOXP3(hi) Treg cells from tumor tissues, which would augment antitumor immunity, could thus be used as an effective treatment strategy for CRCs and other cancers, whereas strategies that locally increase the population of FOXP3(lo) non-Treg cells could be used to suppress or prevent tumor formation.

Survival pathological prognosis factors in breast cancer

International Nuclear Information System (INIS)

Gonzalez-Longoria Boada, Lourdes B.

2012-01-01

A descriptive and longitudinal study of 273 women with breast cancer belonging to Granma province was carried out from 2003 to 2004, in order to analyze the survival of this female population, reason why the method of Kaplan Meier was used for the calculation of the mentioned variable and the Log Rank test was used for the comparison of curves. Patients with higher survival at 5 years were those who had tumors of 2 cm or less (87.5%), histological grade I (90.3%), nuclear grade I (88.3%), as well as the absence of vascular, lymphatic or lymph node invasion (with 80.6; 74.9 and 6.1% respectively). Also, tumor size, histological and nuclear grade, nodal status, as well as lymphatic and vascular invasion constituted prognosis factors, which favored the individualization of therapeutic behaviors

Understanding Cancer Prognosis

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The prognosis significance and application value of peritoneal elastic lamina invasion in colon cancer.

Science.gov (United States)

Lu, Jun; Hu, Xiumei; Meng, Yutong; Zhao, Hongying; Cao, Qing; Jin, Mulan

2018-01-01

The aims of this study were to evaluate the associations between peritoneal elastic lamina invasion (ELI) and the clinicopathological prognostic factors of colon cancer, to evaluate the feasibility of ELI with use of an elastic stain to help diagnose serosal invasion of colon cancer in routine practice, so as to help us to provide a more accurate estimate for prognosis and stage of patients and a marker for postoperative treatment. 254 cases with colon cancer were included in the study. According to the presence of elastic lamina (EL) and elastic lamina invasion (ELI), all cases were divided into four groups: pT3 EL negative (pT3 EL (-)), pT3 ELI positive (pT3 ELI (+)), pT3 ELI negative (pT3 ELI (-)) and pT4a. Statistical analysis was used to analyze the relationship between elastic lamina invasion and other established adverse histologic features. The EL and ELI positive rates were 81.5% and 42.1% respectively. There were significant differences in mph node metastasis, venous invasion and tumor buds between pT3 ELI (-) and pT3 ELI (+), pT3 ELI (-) and pT4a. There was no significant difference in same factors between pT3 ELI (+) and pT4a. In pT3 stage, there were significant differences in lymph node metastasis, perineural invasion and tumor buds between EL (-) and ELI (+). There were no significant differences in same factors between EL (-) and ELI (-). EL was detected less frequently in right-sided tumors compared with left-sided tumors. ELI might be the prognostic factors of colon cancer with II stage and might be the marker of postoperative adjuvant chemotherapy. Patients with pT3 ELI (+) might have similar prognosis to patients with pT4a. For patients with pT3 colon cancer, EL(-) might have similar prognosis as ELI (-) and might take the same therapy. In addition, the right half colon EL positive rate was lower than the left colon. Elastic staining might be a useful tool to help determine the invasive depth and stage of colon cancer.

Time trends in incidence and prognosis of primary liver cancer and liver metastases of unknown origin in a Danish region, 1985-2004

DEFF Research Database (Denmark)

Erichsen, Rune; Jepsen, Peter; Jacobsen, Jacob

2008-01-01

OBJECTIVES: Changes, over the last 20 years, in the diagnostic procedures and treatment of primary liver cancer (PLC) and liver metastases of unknown origin (LMUO) may have affected the clinical course of both cancers. Few longitudinal studies examined this issue. In a population-based setting, we...... studied changes in the incidence and prognosis of PLC and LMUO over time. METHODS: Between 1985 and 2004, we identified 2675 patients with PLC and LMUO in three Danish counties, with a population of 1.4 million. We computed the standardized incidence rate (SIR), ratio of PLC to LMUO diagnoses, median...... survival, and estimated mortality rate ratio adjusted for age, sex, and comorbidity. RESULTS: The SIR of PLC increased from 3.2 in 1985 to 5.0 in 2003, and the SIR of LMUO increased from 3.7 to 6.4. No increase was noted in the PLC-to-LMUO ratio over time (P=0.1 for trend). From 1985 to 2004, the median...

Diagnostic imaging in the staging of gynecologic cancers

International Nuclear Information System (INIS)

Forstner, R.; Graf, A.

1999-01-01

The prognosis in patients with gynecologic cancers depends not only on the stage but also on a wide spectrum of other findings. Cross-sectional imaging modalities, including sonography, CT and MRI, have increasingly been used for optimal treatment planning in gynecologic cancers. Their staging criteria are based on the well-established FIGO staging system. CT and MRI compete with sonography, which plays a pivotal role in the valuation of the female pelvis. This paper reviews the role of sonography, CT and MRI in the staging of gynecologic malignancies. It puts the emphasis on MRI, which has been established as imaging modality of choice in the preoperative evaluation of cervical and endometrial cancer, and which seems slightly superior to CT in the staging of ovarian cancer. (orig.) [de

Understanding Cancer Prognosis

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Full Text Available ... Types Recurrent Cancer Common Cancer Types Bladder Cancer Breast Cancer Colorectal Cancer Kidney (Renal Cell) Cancer Leukemia Liver ... on Causes of Cancer Cancer Diagnosis Research Cancer Prevention Research Screening & Early Detection Cancer Treatment Research Cancer & ...

Understanding Cancer Prognosis

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Full Text Available ... Types Recurrent Cancer Common Cancer Types Bladder Cancer Breast Cancer Colorectal Cancer Kidney (Renal Cell) Cancer Leukemia Liver ... of Cancer Cancer Diagnosis Research Cancer Prevention Research Screening & Early Detection Cancer Treatment Research Cancer & Public Health ...

Emerging role of brain metastases in the prognosis of breast cancer patients

Directory of Open Access Journals (Sweden)

Hambrecht A

2011-08-01

Full Text Available Amanda Hambrecht1,2, Rahul Jandial2, Josh Neman21Department of Biology, University of Southern California; 2Department of Neurosurgery, Beckman Research Institute, City of Hope National Cancer Center, CA, USAAbstract: Cancer starts with one rogue cell. Through mutations and genomic alterations, the cell acquires specific and stem cell-like characteristics necessary for invasion of a distant organ and ultimately metastasis. Metastatic brain cancer is a particularly formidable disease because of its poor prognosis and the highly resistant nature of the tumor to chemotherapy. Although several types of primary tumors have a tendency to metastasize to the brain, the incidence of brain metastases has increased dramatically in some subsets of breast cancer patients. Several conventional treatments are available, but success is limited and often short-lived. Given that no standard treatment options exist, there is a significant need to investigate the biology of these clinically recalcitrant tumors. Keywords: metastasis, breast cancer, blood-brain barrier, epithelial-mesenchymal transition, mesenchymal-epithelial transition

CRC-113 gene expression signature for predicting prognosis in patients with colorectal cancer.

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Nguyen, Minh Nam; Choi, Tae Gyu; Nguyen, Dinh Truong; Kim, Jin-Hwan; Jo, Yong Hwa; Shahid, Muhammad; Akter, Salima; Aryal, Saurav Nath; Yoo, Ji Youn; Ahn, Yong-Joo; Cho, Kyoung Min; Lee, Ju-Seog; Choe, Wonchae; Kang, Insug; Ha, Joohun; Kim, Sung Soo

2015-10-13

Colorectal cancer (CRC) is the third leading cause of global cancer mortality. Recent studies have proposed several gene signatures to predict CRC prognosis, but none of those have proven reliable for predicting prognosis in clinical practice yet due to poor reproducibility and molecular heterogeneity. Here, we have established a prognostic signature of 113 probe sets (CRC-113) that include potential biomarkers and reflect the biological and clinical characteristics. Robustness and accuracy were significantly validated in external data sets from 19 centers in five countries. In multivariate analysis, CRC-113 gene signature showed a stronger prognostic value for survival and disease recurrence in CRC patients than current clinicopathological risk factors and molecular alterations. We also demonstrated that the CRC-113 gene signature reflected both genetic and epigenetic molecular heterogeneity in CRC patients. Furthermore, incorporation of the CRC-113 gene signature into a clinical context and molecular markers further refined the selection of the CRC patients who might benefit from postoperative chemotherapy. Conclusively, CRC-113 gene signature provides new possibilities for improving prognostic models and personalized therapeutic strategies.

Understanding Cancer Prognosis

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Full Text Available ... Breast Cancer Colorectal Cancer Kidney (Renal Cell) Cancer Leukemia Liver Cancer Lung Cancer Lymphoma Pancreatic Cancer Prostate ... Genomics Research Research on Causes of Cancer Cancer Diagnosis Research Cancer Prevention Research Screening & Early Detection Cancer ...

Understanding Cancer Prognosis

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Full Text Available ... Types Recurrent Cancer Common Cancer Types Bladder Cancer Breast Cancer Colorectal Cancer Kidney (Renal Cell) Cancer Leukemia Liver ... Genomics Research Research on Causes of Cancer Cancer Diagnosis Research Cancer Prevention Research Screening & Early Detection Cancer ...

Communication About Prognosis With Adolescent and Young Adult Patients With Cancer: Information Needs, Prognostic Awareness, and Outcomes of Disclosure.

Science.gov (United States)

Mack, Jennifer W; Fasciano, Karen M; Block, Susan D

2018-04-23

Purpose Communication about prognosis affects decisions patients and family members make about cancer care, and most patients say they want to know about their chances of cure. We sought to evaluate experiences with prognosis communication among adolescents and young adults (AYAs) with cancer. Patients and Methods We surveyed 203 AYAs with cancer age 15 to 29 years (response rate, 74%) treated at Dana-Farber Cancer Institute and their oncologists. Patients were approached within 6 weeks of diagnosis and asked to report on their prognosis communication preferences and experiences, their beliefs about likelihood of cure, and psychosocial outcomes of communication, such as trust (using an item from the Trust in Physician Scale), peace of mind (using select items from the Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being Scale), and anxiety and depression (using the Hospital Anxiety and Depression Scale). Oncologists were asked to report the patient's likelihood of cure. Results Most patients (83%, 167 of 203 patients) considered prognostic information to be extremely or very important. Patients who reported having received more extensive prognostic disclosure had higher odds of trust in the oncologist (odds ratio [OR], 1.30; 95% CI, 1.01 to 1.67; P = .05), peace of mind (OR, 2.13; 95% CI, 1.29 to 3.51; P = .002), and hope related to physician communication (OR, 1.27; 95% CI, 1.01 to 1.59; P = .04), after adjusting for patient sex, age, race or ethnicity, prognosis, and diagnosis. Disclosure was also associated with lower distress related to knowing about prognosis (OR, 0.65; 95% CI, 0.44 to 0.95; P = .03). However, a majority of patients (62%) reported prognostic estimates that exceeded those reported by physicians (McNemar P < .001). Conclusion Most AYAs with cancer value receiving prognostic information, which is positively associated with aspects of well-being. However, most overestimate chances of cure relative to oncologists, highlighting the

Understanding Cancer Prognosis

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Novel Biomarker for Prognosis, Treatment Response

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An NCI Cancer Currents blog about a study of a new type of cancer biomarker that measures the extent of chromosomal instability as a way to potentially predict patient prognosis and help guide cancer treatment choices.

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Glycosylation-Based Serum Biomarkers for Cancer Diagnostics and Prognostics.

Science.gov (United States)

Kirwan, Alan; Utratna, Marta; O'Dwyer, Michael E; Joshi, Lokesh; Kilcoyne, Michelle

2015-01-01

Cancer is the second most common cause of death in developed countries with approximately 14 million newly diagnosed individuals and over 6 million cancer-related deaths in 2012. Many cancers are discovered at a more advanced stage but better survival rates are correlated with earlier detection. Current clinically approved cancer biomarkers are most effective when applied to patients with widespread cancer. Single biomarkers with satisfactory sensitivity and specificity have not been identified for the most common cancers and some biomarkers are ineffective for the detection of early stage cancers. Thus, novel biomarkers with better diagnostic and prognostic performance are required. Aberrant protein glycosylation is well known hallmark of cancer and represents a promising source of potential biomarkers. Glycoproteins enter circulation from tissues or blood cells through active secretion or leakage and patient serum is an attractive option as a source for biomarkers from a clinical and diagnostic perspective. A plethora of technical approaches have been developed to address the challenges of glycosylation structure detection and determination. This review summarises currently utilised glycoprotein biomarkers and novel glycosylation-based biomarkers from the serum glycoproteome under investigation as cancer diagnostics and for monitoring and prognostics and includes details of recent high throughput and other emerging glycoanalytical techniques.

Effect of metformin on the prognosis of diabetic patients combined with gynecologic cancer: A Meta-analysis

Directory of Open Access Journals (Sweden)

Zi-long CHEN

2018-04-01

Full Text Available Objective To systematically evaluate the effect of metformin on the prognosis of diabetic patients combined with gynecologic cancer. Methods The database including PubMed, Embase, CNKI and Wangfang, were electronically searched with no language restriction from their inception to March 2017 to collect the studies about the effect of metformin on the prognosis of diabetic patients combined with gynecologic cancer. The references in reviews were also searched. According to the inclusion and exclusion criteria, two reviewers screened the literatures independently, extracted data and assessed methodological quality by the Newcastle-Ottawa scale. The primary end points included overall survival (OS and progress free survival (PFS. The outcome measures were the pooled hazard ratios (HR and 95% confidence intervals (95% CI. I2 was performed in a heterogeneity assessment. Publication bias was evaluated by using Begg's funnel plot and Egger's test, and the sensitivity analysis was conducted to confirm robustness. The Meta-analysis was performed using STATA 12.0 software. Results Sixteen eligible retrospective cohort studies were included and the score of quality assessment were ranged from 6 to 9. The Meta-analysis showed that metformin could improve the OS of diabetic patients with gynecologic tumors (HR=0.71, 95%CI 0.59-0.85, P=0.000. Subgroup analysis revealed that metformin could improve the OS of diabetic patients combined with endometrial cancer (HR=0.70, 95%CI 0.54-0.89, P=0.004 and diabetic patients combined with cervical cancer (HR=0.95, 95%CI 0.90-1.00, P=0.048. Meanwhile metformin improved the OS (HR=0.56, 95%CI 0.38-0.83, P=0.004 and PFS (HR=0.45, 95%CI 0.30-0.68, P=0.000 of diabetic patients with ovarian cancer after adjusting for confounders. Conclusions The use of metformin is positive for the prognosis of diabetic patients combined with gynecologic cancer. It may improve the OS of diabetic patients with endometrial cancer and diabetic

Colorectal cancer during pregnancy in a Sudanese female | Idris ...

African Journals Online (AJOL)

Diagnostic delays often lead to the tragic demise of a young woman from a potentially curable disease and of an otherwise viable fetus. This delay in diagnosis is a major contributing factor to the poor prognosis associated with this disease. Synchronous colon cancer during pregnancy presents a diagnostic and therapeutic ...

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Recent advances in salivary cancer diagnostics enabled by biosensors and bioelectronics.

Science.gov (United States)

Mishra, Saswat; Saadat, Darius; Kwon, Ohjin; Lee, Yongkuk; Choi, Woon-Seop; Kim, Jong-Hoon; Yeo, Woon-Hong

2016-07-15

There is a high demand for a non-invasive, rapid, and highly accurate tool for disease diagnostics. Recently, saliva based diagnostics for the detection of specific biomarkers has drawn significant attention since the sample extraction is simple, cost-effective, and precise. Compared to blood, saliva contains a similar variety of DNA, RNA, proteins, metabolites, and microbiota that can be compiled into a multiplex of cancer detection markers. The salivary diagnostic method holds great potential for early-stage cancer diagnostics without any complicated and expensive procedures. Here, we review various cancer biomarkers in saliva and compare the biomarkers efficacy with traditional diagnostics and state-of-the-art bioelectronics. We summarize biomarkers in four major groups: genomics, transcriptomics, proteomics, and metabolomics/microbiota. Representative bioelectronic systems for each group are summarized based on various stages of a cancer. Systematic study of oxidative stress establishes the relationship between macromolecules and cancer biomarkers in saliva. We also introduce the most recent examples of salivary diagnostic electronics based on nanotechnologies that can offer rapid, yet highly accurate detection of biomarkers. A concluding section highlights areas of opportunity in the further development and applications of these technologies. Copyright © 2016 Elsevier B.V. All rights reserved.

Preoperative controlling nutritional status (CONUT) is useful to estimate the prognosis after esophagectomy for esophageal cancer.

Science.gov (United States)

Yoshida, Naoya; Harada, Kazuto; Baba, Yoshifumi; Kosumi, Keisuke; Iwatsuki, Masaaki; Kinoshita, Koichi; Nakamura, Kenichi; Sakamoto, Yasuo; Miyamoto, Yuji; Karashima, Ryuichi; Mima, Kosuke; Sawayama, Hiroshi; Ohuchi, Mayuko; Chikamoto, Akira; Imamura, Yu; Watanabe, Masayuki; Baba, Hideo

2017-03-01

The aim of this study is to confirm the predictive value of controlling nutritional status (CONUT), as a postoperative prognostic marker for esophageal cancer patients undergoing esophagectomy. We retrospectively analyzed 373 patients who underwent three-incision esophagectomy with 2- or 3-field lymphadenectomy for esophageal cancer between April 2005 and March 2016. The patients were divided into three groups based on the degree of preoperative malnutrition as assessed by CONUT: normal, light malnutrition, and moderate or severe malnutrition. The patients with moderate or severe malnutrition experienced a significantly higher frequency of reoperation (normal or light malnutrition, 6.3%; moderate or severe malnutrition, 18.2%; P = 0.033) and a higher tendency for respiratory morbidities (normal or light malnutrition, 14.0%; moderate or severe malnutrition, 27.3%; P = 0.088). Cox regression analysis identified a significantly poor prognosis, in both overall survival (hazard ratio (HR), 3.56; 95% confidence interval (CI), 1.714-7.390; P cancer-specific survival (HR, 3.41; 95% CI, 1.790-6.516; P = 0.046). CONUT is convenient and useful for preoperatively assessing malnutrition and prognosis of esophageal cancer patients who underwent surgery.

Overexpression of long non-coding RNA colon cancer-associated transcript 2 is associated with advanced tumor progression and poor prognosis in patients with colorectal cancer.

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Zhang, Junling; Jiang, Yong; Zhu, Jing; Wu, Tao; Ma, Ju; Du, Chuang; Chen, Shanwen; Li, Tengyu; Han, Jinsheng; Wang, Xin

2017-12-01

The aim of the present study was to explore the clinicopathological and prognostic significance of long non-coding RNA (lncRNA) colon cancer-associated transcript 2 (CCAT2) expression in human colorectal cancer (CRC). Expression levels of lncRNA CCAT2 in CRC, adjacent non-tumor and healthy colon mucosa tissues were detected by quantitative polymerase chain reaction. The disease-free survival and overall survival rates were evaluated using the Kaplan-Meier method, and multivariate analysis was performed using Cox proportional hazard analysis. The expression level of lncRNA CCAT2 in CRC tissues was increased significantly compared with adjacent normal tissues or non-cancerous tissues. CCAT2 expression was observed to be progressively increased between tumor-node-metastasis (TNM) stages I and IV. A high level of CCAT2 expression was revealed to be associated with poor cell differentiation, deeper tumor infiltration, lymph node metastasis, distance metastasis, vascular invasion and advanced TNM stage. Compared with patients with low levels of CCAT2 expression, patients with high levels of CCAT2 expression had shorter disease-free survival and overall survival times. Multivariate analyses indicated that high CCAT2 expression was an independent poor prognostic factor. Therefore, increased lncRNA CCAT2 expression maybe a potential diagnostic biomarker for CRC, and an independent predictor of prognosis in patients with CRC.

Diagnostic Ultrasound in Colorectal Cancer

DEFF Research Database (Denmark)

Rafaelsen, Søren Rafael

2014-01-01

SUMMARYBackground and purpose Colorectal cancer is a common disease in Denmark with considerable morbidity and mortality. Although survival in recent years has improved, Denmark still has the lowest 5-year survival compared to the other Nordic countries. The treatment of patients depends on local...... the potential to contribute to the staging of colorectal cancer. The purpose of these studies was to determine the usefulness of ultrasound diagnostics in patients with colorectal cancer.The purpose of the TRUS studies was to compare staging of rectal carcinomas using digital rectal exploration...... of 295 patients with primary colorectal cancer we found a sensitivity of preoperative ultrasound, surgical exploration, and intraoperative ultrasound of 70%, 84%, and 97%, respectively, based on a patient-by-patient comparison (p

Understanding Cancer Prognosis

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Information about diagnosis and prognosis related to anxiety and depression in children with cancer aged 8-16 years

NARCIS (Netherlands)

Last, B. F.; van Veldhuizen, A. M.

1996-01-01

The aim of this study was to test the hypothesis that being openly informed about the diagnosis and prognosis benefits the emotional well-being of children with cancer. A stratified sample of 56 children with cancer aged 8-16 years and their parents participated. The parents were interviewed about

Advances in circulating microRNAs as diagnostic and prognostic markers for ovarian cancer

International Nuclear Information System (INIS)

Zheng, Hong; Liu, Jia-Yu; Song, Feng-Ju; Chen, Ke-Xin

2013-01-01

Ovarian cancer is one of the most lethal malignant gynecological tumors. More than 70% of patients with ovarian cancer are diagnosed at advanced stage. The 5-year survival in patients with advanced ovarian cancer is less than 30% because of the lack of effective biomarkers for diagnosis, prognosis, and personalized treatment. MicroRNA (miR) is a class of small noncoding RNAs that negatively regulate gene expression primarily through post-transcriptional repression. Many studies on tissue miR in ovarian cancer have been carried out and show great potential in clinical practice. However, tissue samples are not easily available because sampling causes injury. Researchers have started to focus on plasma/serum miR, assuming that blood samples may replace tissue samples in miR research in the future. Plasma/serum miR research is still in its early stages. Studies on its function in the early diagnosis of ovarian cancer have achieved some progress, but plasma/serum miR profiling for prognosis and personalized treatment of ovarian cancer remains unknown. A thorough understanding of the function of plasma/serum miR in ovarian cancer will facilitate early diagnosis and improve treatment for ovarian cancer

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Diagnostic characteristics of lethal prostate cancer

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Helgstrand, John Thomas; Røder, Martin Andreas; Klemann, Nina

2017-01-01

eventually died from PCa. PATIENTS AND METHODS: Based on the national database, the Danish Prostate Cancer Registry, a nationwide population-based study of all 19,487 men who died from PCa in Denmark between 1995 and 2013 was conducted. Trends in median survival and trends in age, prostate-specific antigen......BACKGROUND: The diagnostic characteristics of men who eventually die from prostate cancer (PCa) and the extent to which early diagnostic strategies have affected these characteristics are unclear. We aimed to investigate trends in survival and clinical presentation at diagnosis in men who...... significantly over time, parallelled by an increase in median survival. Taken together, this indicates a lead-time effect on survival, which presently, however, is not substantial enough to result in a reduced PCa-specific mortality....

Cancer pancreatis, diagnostic procedures

International Nuclear Information System (INIS)

Graadal, Oe.; Schlichting, E.; Aasen, A.O.; Stadaas, J.O.

1990-01-01

151 patients treated for carcinoma of the pancreas at Ullevaal Hospital (Oslo University) during the period 1980-89 were studied. The most common initial symptom was abdominal pain. Other frequent debut symptoms were loss of weight and jaundice. ERCP and PTC were found to be the best diagnostic procedures. CT or ultrasonography were normal in 10-20% of the patients. Nearly all tumors of the pancreas were found by the ERCP procedure. Also angiography was used to evaluate operability of the pancreas tumor, but was found to be a very uncertain diagnostic method. This method will not be used in the future evaluation of patients with cancer of the pancreas. 13 refs., 1 fig., 2 tabs

Skin invasion and prognosis in node negative breast cancer: a retrospective study

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Horii Rie

2008-01-01

Full Text Available Abstract Background The impact of skin invasion in node negative breast cancer is uncertain. Methods We determined the prognosis in 97 node negative breast cancer patients (case group who had tumors with skin invasion. Then we compared these patients with 4500 node negative invasive breast cancer patients treated surgically in the same period. Results Patients with skin invasion tended to be older, had more invasive lobular carcinoma and larger tumor size, and were less likely to have breast conserving surgery than those in the control group. The 5-year disease-free survival rate in the case group was 94.0%. There was no significant difference in the 10-year disease-specific overall survival rates in terms of skin invasion in node negative patients (90.7% in the case group, 92.9% in the control group; p = 0.2032. Conclusion Results suggest that skin invasion has no impact on survival in node negative invasive breast cancer patients. The adjuvant regimens which the individual institute applies for node negative breast cancer should be used regardless of skin invasion.

Companion diagnostics for the targeted therapy of gastric cancer.

Science.gov (United States)

Yoo, Changhoon; Park, Young Soo

2015-10-21

Gastric cancer is the fourth most common type of cancer and represents a major cause of cancer-related deaths worldwide. With recent biomedical advances in our understanding of the molecular characteristics of gastric cancer, many genetic alterations have been identified as potential targets for its treatment. Multiple novel agents are currently under development as the demand for active agents that improve the survival of gastric cancer patients constantly increases. Based on lessons from previous trials of targeted agents, it is now widely accepted that the establishment of an optimal diagnostic test to select molecularly defined patients is of equal importance to the development of active agents against targetable genetic alterations. Herein, we highlight the current status and future perspectives of companion diagnostics in the treatment of gastric cancer.

Prevalence of molecular subtypes and prognosis of invasive breast cancer in north-east of Morocco: retrospective study

Directory of Open Access Journals (Sweden)

Bennis Sanae

2012-08-01

Full Text Available Abstract Background Breast carcinoma is known as a heterogeneous disease because gene expression analyses identify several subtypes and the molecular profiles are prognostic and predictive for patients. Our aim, in this study, is to estimate the prevalence of breast cancer subtypes and to determine the relationship between clinico-pathological characteristics, overall survival (OS and disease free survival (DFS for patients coming from north-east of Morocco. Methods We reviewed 366 cases of breast cancer diagnosed between January 2007 to June 2010 at the Department of pathology. Age, size tumor, metastatic profile, node involvement profile, OS and DFS were analyzed on 181 patients. These last parameters were estimated by Kaplan-Meier analysis and log-rank test to estimate outcome differences among subgroups. Results The average age was 45 years, our patients were diagnosed late (57% stage III, 17.5% stage IV with a high average tumor size. Luminal A subtype was more prevalent (53.6% associated with favorable clinic-pathological characteristics, followed by luminal B (16.4%, Her2-overexpressing (12.6%, basal-like (12.6% and unclassified subtype (4.9%. Survival analysis showed a significant difference between subtypes. The triple negative tumors were associated with poor prognosis (49% OS, 39% DFS, whereas the luminal A were associated with a better prognosis (88% OS, 59% DFS. The luminal B and the Her2-overexpressing subtypes were associated with an intermediate prognosis (77% and 75% OS, and 41% and 38% DFS respectively. Conclusion This study showed that molecular classification by immunohistochemistry was necessary for therapeutic decision and prognosis of breast carcinoma. The luminal A subtype was associated with favorable biological characteristics and a better prognosis than triple negative tumors that were associated with a poor prognosis and unfavorable clinic-pathological characteristics.

NCOA5 is correlated with progression and prognosis in luminal breast cancer

International Nuclear Information System (INIS)

Ye, Xiao-He; Huang, Du-Ping; Luo, Rong-Cheng

2017-01-01

Nuclear receptor coactivator 5 (NCOA5) is known to modulate ERα-mediated transcription and has been found to be involved in the progression of several malignancies. However, the potential correlation between NCOA5 and clinical outcome in patients with luminal breast cancer remains unknown. In the present study, we demonstrated that NCOA5 was significantly up-regulated in luminal breast cancer tissues compared with adjacent non-cancerous tissues both in validated cohort and TCGA cohort. Moreover, Kaplan-Meier analysis indicated that patients with high NOCA5 expression had significantly lower overall survival (P = 0.021). Cox regression analysis indicated that the high NOCA5 expression was independent high risk factor as well as old age (>60) and HER-2 expression (P = 0.039; P = 0.003; P = 0.005; respectively). This study provides new insights and evidences that NOCA5 over-expression was significantly correlated with progression and prognosis in luminal breast cancer. However, the precise cellular mechanisms for NOCA5 in luminal breast cancer need to be further explored. - Highlights: • NCOA5 is significantly over-expressed in human luminal breast cancer tissues. • NOCA5 was involved in the progression of luminal breast cancer. • NCOA5 can predict the progression of luminal breast cancer.

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Diagnostic Management of Pancreatic Cancer

Energy Technology Data Exchange (ETDEWEB)

Dabizzi, Emanuele [Division of Gastroenterology and Hepatology, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, Florida 32224 (United States); Assef, Mauricio Saab [Faculdade de Ciências Médicas da Santa Casa de São Paulo, Rua Dr. Cesário Motta Jr. #61 Cep: 01221-020, São Paulo (Brazil); Raimondo, Massimo, E-mail: raimondo.massimo@mayo.edu [Division of Gastroenterology and Hepatology, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, Florida 32224 (United States)

2011-01-31

Pancreatic cancer is one of the most deadly solid tumors, with an overall 5-year survival rate of less than 5%. Due to a non-specific clinical presentation, it is often diagnosed at an advanced stage and is rarely amenable for curative treatment. Therefore early diagnosis and appropriate staging are still essential to define the best care and to improve patient survival. Several imaging modalities are currently available for the evaluation of pancreatic cancer. This review focuses on different techniques and discusses the diagnostic management of patients with pancreatic cancer. This review was conducted utilizing Pubmed and was limited to papers published within the last 5 years. The search key words pancreatic cancer, pancreatic adenocarcinoma, pancreatic tumors, diagnosis, radiology, imaging, nuclear imaging, endoscopy, endoscopic ultrasound and biochemical markers were used.

Diagnostic Management of Pancreatic Cancer

International Nuclear Information System (INIS)

Dabizzi, Emanuele; Assef, Mauricio Saab; Raimondo, Massimo

2011-01-01

Pancreatic cancer is one of the most deadly solid tumors, with an overall 5-year survival rate of less than 5%. Due to a non-specific clinical presentation, it is often diagnosed at an advanced stage and is rarely amenable for curative treatment. Therefore early diagnosis and appropriate staging are still essential to define the best care and to improve patient survival. Several imaging modalities are currently available for the evaluation of pancreatic cancer. This review focuses on different techniques and discusses the diagnostic management of patients with pancreatic cancer. This review was conducted utilizing Pubmed and was limited to papers published within the last 5 years. The search key words pancreatic cancer, pancreatic adenocarcinoma, pancreatic tumors, diagnosis, radiology, imaging, nuclear imaging, endoscopy, endoscopic ultrasound and biochemical markers were used

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Pre-diagnostic alcohol consumption and breast cancer recurrence and mortality

DEFF Research Database (Denmark)

Holm, Marianne; Olsen, Anja; Christensen, Jane

2013-01-01

The association between pre-diagnostic alcohol consumption and breast cancer recurrence and breast cancer specific mortality was investigated in 1,052 women diagnosed with early breast cancer in a prospective cohort of 29,875 women. Known clinical, lifestyle and socioeconomic risk factors were...... evaluated and adjusted for in multivariate analysis. We found a modest but significant association between pre-diagnostic alcohol consumption and breast cancer recurrence with a median follow-up of six years after date of diagnosis, both when using baseline measures of alcohol intake (HR, 1.65; 95% CI, 1...

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Diagnostic delay experienced among gynecological cancer patients: a nationwide survey in Denmark

DEFF Research Database (Denmark)

Robinson, Kirstine M; Ottesen, Bent; Christensen, Karl Bang

2009-01-01

OBJECTIVE: To examine diagnostic delay among gynecological cancer patients. DESIGN: Nationwide study. SETTING: The cohort comprised all women receiving their first treatment for cervical, endometrial, or ovarian cancer between 1 October 2006 and 1 December 2007 in four of the five centers...... for gynecological cancer surgery in Denmark. SAMPLE: Of the 911 women alive, 648 participated, resulting in a response rate of 71.1%; of these, 30.1% were diagnosed with cervical cancer, 31.0% with endometrial cancer, and 38.9% with ovarian cancer. METHODS: Questionnaire survey. MAIN OUTCOME MEASURES: Diagnostic...... experiencing very long delays. Ovarian cancer patients experienced significantly shorter delays compared with other gynecological cancer patients in all parts of the health care system. CONCLUSIONS: Delays occur in all parts of the diagnostic process, suggesting that a multifaceted approach should be adopted...

AAPT Diagnostic Criteria for Chronic Cancer Pain Conditions

OpenAIRE

Paice, Judith A.; Mulvey, Matt; Bennett, Michael; Dougherty, Patrick M.; Farrar, John T.; Mantyh, Patrick W.; Miaskowski, Christine; Schmidt, Brian; Smith, Thomas J.

2016-01-01

Chronic cancer pain is a serious complication of malignancy or its treatment. Currently, no comprehensive, universally accepted cancer pain classification system exists. Clarity in classification of common cancer pain syndromes would improve clinical assessment and management. Moreover, an evidence-based taxonomy would enhance cancer pain research efforts by providing consistent diagnostic criteria, ensuring comparability across clinical trials. As part of a collaborative effort between the A...

Endosomal gene expression: a new indicator for prostate cancer patient prognosis?

LENUS (Irish Health Repository)

Johnson, Ian R D

2015-11-10

Prostate cancer continues to be a major cause of morbidity and mortality in men, but a method for accurate prognosis in these patients is yet to be developed. The recent discovery of altered endosomal biogenesis in prostate cancer has identified a fundamental change in the cell biology of this cancer, which holds great promise for the identification of novel biomarkers that can predict disease outcomes. Here we have identified significantly altered expression of endosomal genes in prostate cancer compared to non-malignant tissue in mRNA microarrays and confirmed these findings by qRT-PCR on fresh-frozen tissue. Importantly, we identified endosomal gene expression patterns that were predictive of patient outcomes. Two endosomal tri-gene signatures were identified from a previously published microarray cohort and had a significant capacity to stratify patient outcomes. The expression of APPL1, RAB5A, EEA1, PDCD6IP, NOX4 and SORT1 were altered in malignant patient tissue, when compared to indolent and normal prostate tissue. These findings support the initiation of a case-control study using larger cohorts of prostate tissue, with documented patient outcomes, to determine if different combinations of these new biomarkers can accurately predict disease status and clinical progression in prostate cancer patients.

Image quality enhancement for skin cancer optical diagnostics

Science.gov (United States)

Bliznuks, Dmitrijs; Kuzmina, Ilona; Bolocko, Katrina; Lihachev, Alexey

2017-12-01

The research presents image quality analysis and enhancement proposals in biophotonic area. The sources of image problems are reviewed and analyzed. The problems with most impact in biophotonic area are analyzed in terms of specific biophotonic task - skin cancer diagnostics. The results point out that main problem for skin cancer analysis is the skin illumination problems. Since it is often not possible to prevent illumination problems, the paper proposes image post processing algorithm - low frequency filtering. Practical results show diagnostic results improvement after using proposed filter. Along that, filter do not reduces diagnostic results' quality for images without illumination defects. Current filtering algorithm requires empirical tuning of filter parameters. Further work needed to test the algorithm in other biophotonic applications and propose automatic filter parameter selection.

Diagnostic value of combined tumor markers detection for gastric and colorectal cancers

International Nuclear Information System (INIS)

Chen Wenzhang; Dong Lin

2007-01-01

Objective: To investigate the value of combined tumor markers detection in the clinical diagnosis for gastric cancer and colorectal cancel. Methods: The serum concentration of CEA, CA199, CA125, CA242 were measured by radioimmunoassay and Immunoradioassy in 46 patients with gastric cancer, 62 patients with colorectal cancer and 30 controls. Results: The diagnostic sensitivity, specificity, and accuracy of CEA were 37.0%, 96.7%, 59.2% respectively in gastric cancer,and 51.6%, 96.7%, 66.3% respectively in colorectal cancer, those of CA199 were 47.8%, 100.0%, 65.8% in gastric cancer, and 43.5%, 100.0%, 62, 0% in colorectal cancer, those of CA125 were 41.3%, 96.7%, 63.2% in gastric cancer, and 38.7%, 100.0%, 58.7% in colorectal cancer, those of CA242 were 54.3%, 100.0%, 71.5% in gastric cancer, and 51.6%, 100.0%, 67.4% in colorectal cancer. The diagnostic sensitivity specificity and accuracy of combined four markers were 73.9%, 93.3%, 82.9% in gastric cancer, and 77.4%, 96.7%, 83.7% in colorectal cancer. Compared with the respective value of any single marker, the diagnostic sensitivity and accuracy were significantly improved (P<0.05). Conclusion: Combined tumor markers detection could improve the diagnostic sensitivity and accuracy in gastric and colorectal cancers and was helpful for screening. (authors)

Understanding Cancer Prognosis

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Drug sensitivity testing platforms for gastric cancer diagnostics.

Science.gov (United States)

Lau, Vianne; Wong, Andrea Li-Ann; Ng, Christopher; Mok, Yingting; Lakshmanan, Manikandan; Yan, Benedict

2016-02-01

Gastric cancer diagnostics has traditionally been histomorphological and primarily the domain of surgical pathologists. Although there is an increasing usage of molecular and genomic techniques for clinical diagnostics, there is an emerging field of personalised drug sensitivity testing. In this review, we describe the various personalised drug sensitivity testing platforms and discuss the challenges facing clinical adoption of these assays for gastric cancer. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Understanding Cancer Prognosis

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Full Text Available ... Feelings and Cancer Adjusting to Cancer Self-Image & Sexuality Day-to-Day Life Support for Caregivers Survivorship ... Coping Feelings & Cancer Adjusting to Cancer Self Image & Sexuality Day to Day Life Survivorship Support for Caregivers ...

Understanding Cancer Prognosis

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Full Text Available ... A to Z List of Cancer Drugs Complementary & Alternative Medicine (CAM) Questions to Ask about Your Treatment ... Treatment Side Effects Clinical Trials Cancer Drugs Complementary & Alternative Medicine Coping Feelings & Cancer Adjusting to Cancer Self ...

Understanding Cancer Prognosis

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Understanding Cancer Prognosis

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Late stage and grave prognosis of esophageal cancer in Thailand.

Science.gov (United States)

Nun-Anan, Pongjarat; Vilaichone, Ratha-Korn

2015-01-01

Esophageal cancer is one of the major health concerns in Southeast Asian countries, including Thailand. However, only a limited number of studies have been reported from this region. This study was designed to evaluate the prevalence, clinical characteristics and survival rate of esophageal cancer in Thailand. Clinical information, histological features and endoscopic findings were collected from a tertiary care center in central region of Thailand between September 2011- November 2014 and reviewed. A total of 64 esophageal cancer patients including 58 men and 6 women with mean age of 62.6 years were enrolled. Common presenting symptoms were dysphagia (74%), dyspepsia (10%) and hematemesis (8%). Mean duration of symptoms prior to diagnosis was 72 days. Esophageal stenosis with contact bleeding was the most common endoscopic finding (55.6%). The location of cancer was found in proximal (16%), middle (50%) and distal (34%) esophagus. Squamous cell carcinoma was far more common histology than adenocarcinoma (84.2% vs 10.5%). However, esophageal adenocarcinoma was significantly more common than squamous cell carcinoma in distal area of esophagus (100% vs 22.9%; p=0.0001, OR=1.6, 95%CI=1.1-2.2). Esophageal cancer stages 3 and 4 accounted for 35.2% and 59.3% respectively. Overall 2-year survival rate was 20% and only 16% in metastatic patients. Most esophageal cancer patients in Thailand have squamous cell carcinoma and nearly all present at advanced stage with a grave prognosis. Screening of high risk individuals and early detection might be important keys to improve the survival rate and treatment outcome in Thailand.

Understanding Cancer Prognosis

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Understanding Cancer Prognosis

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Identifying the Gene Signatures from Gene-Pathway Bipartite Network Guarantees the Robust Model Performance on Predicting the Cancer Prognosis

Directory of Open Access Journals (Sweden)

Li He

2014-01-01

Full Text Available For the purpose of improving the prediction of cancer prognosis in the clinical researches, various algorithms have been developed to construct the predictive models with the gene signatures detected by DNA microarrays. Due to the heterogeneity of the clinical samples, the list of differentially expressed genes (DEGs generated by the statistical methods or the machine learning algorithms often involves a number of false positive genes, which are not associated with the phenotypic differences between the compared clinical conditions, and subsequently impacts the reliability of the predictive models. In this study, we proposed a strategy, which combined the statistical algorithm with the gene-pathway bipartite networks, to generate the reliable lists of cancer-related DEGs and constructed the models by using support vector machine for predicting the prognosis of three types of cancers, namely, breast cancer, acute myeloma leukemia, and glioblastoma. Our results demonstrated that, combined with the gene-pathway bipartite networks, our proposed strategy can efficiently generate the reliable cancer-related DEG lists for constructing the predictive models. In addition, the model performance in the swap analysis was similar to that in the original analysis, indicating the robustness of the models in predicting the cancer outcomes.

Understanding Cancer Prognosis

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A clinicopathological study of various oral cancer diagnostic techniques

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G Ulaganathan

2017-01-01

Full Text Available Oral cancer is one of the most commonly occurring malignant tumors in the head and neck regions with high incident rate and mortality rate in the developed countries than in the developing countries. Generally, the survival rate of cancer patients may increase when diagnosed at early stage, followed by prompt treatment and therapy. Recently, cancer diagnosis and therapy design for a specific cancer patient have been performed with the advanced computer-aided techniques. The responses of the cancer therapy could be continuously monitored to ensure the effectiveness of the treatment process that hardly requires diagnostic result as quick as possible to improve the quality and patient care. This paper gives an overview of oral cancer occurrence, different types, and various diagnostic techniques. In addition, a brief introduction is given to various stages of immunoanalysis including tissue image preparation, whole slide imaging, and microscopic image analysis.

Loss of Bad expression confers poor prognosis in non-small cell lung cancer.

Science.gov (United States)

Huang, Yi; Liu, Dan; Chen, Bojiang; Zeng, Jing; Wang, Lei; Zhang, Shangfu; Mo, Xianming; Li, Weimin

2012-09-01

Proapoptotic BH-3-only protein Bad (Bcl-Xl/Bcl-2-associated death promoter homolog, Bad) initiates apoptosis in human cells, and contributes to tumorigenesis and chemotherapy resistant in malignancies. This study explored association between the Bad expression level and prognosis in patients with non-small cell lung cancer (NSCLC). In our study, a cohort of 88 resected primary NSCLC cases were collected and analyzed. Bad expression level was determined via immunohistochemical staining assay. The prognostic significances of Bad expression were evaluated with univariate and multivariate survival analysis. The results showed that compared with normal lung tissues, Bad expression level significantly decreased in NSCLC (P Bad expression was associated with adjuvant therapy status. Loss of Bad independently predicted poor prognosis in whole NSCLC cohort and early stage subjects (T1 + T2 and N0 + N1) (all P Bad negative phenotype in NSCLC patients with smoking history, especially lung squamous cell carcinoma (all P Bad is an independent and powerful predictor of adverse prognosis in NSCLC. Bad protein could be a new biomarker for selecting individual therapy strategies and predicting therapeutic response in subjects with NSCLC.

Prostate cancer diagnostics: Clinical challenges and the ongoing need for disruptive and effective diagnostic tools.

Science.gov (United States)

Sharma, Shikha; Zapatero-Rodríguez, Julia; O'Kennedy, Richard

The increased incidence and the significant health burden associated with carcinoma of the prostate have led to substantial changes in its diagnosis over the past century. Despite technological advancements, the management of prostate cancer has become progressively more complex and controversial for both early and late-stage disease. The limitations and potential harms associated with the use of prostate-specific antigen (PSA) as a diagnostic marker have stimulated significant investigation of numerous novel biomarkers that demonstrate varying capacities to detect prostate cancer and can decrease unnecessary biopsies. However, only a few of these markers have been approved for specific clinical settings while the others have not been adequately validated for use. This review systematically and critically assesses ongoing issues and emerging challenges in the current state of prostate cancer diagnostic tools and the need for disruptive next generation tools based on analysis of combinations of these biomarkers to enhance predictive accuracy which will benefit clinical diagnostics and patient welfare. Copyright © 2016. Published by Elsevier Inc.

Predictors of Lymph Node Metastasis and Prognosis in pT1 Colorectal Cancer Patients with Signet-Ring Cell and Mucinous Adenocarcinomas

Directory of Open Access Journals (Sweden)

Bao-Rong Song

2017-03-01

Full Text Available Background/Aims: The local excision of early colorectal cancer is limited by the presence of lymph node metastasis (LNM. Signet-ring cell carcinomas (SRC and mucinous adenocarcinomas (MAC are two relatively infrequent histological subtypes. However, little is known about the predictors of LNM and prognosis to support the feasibility of local excision in early-stage SRC and MAC. Methods: The Surveillance Epidemiology and End Results Database were used to identify all patients with pT1 adenocarcinomas, including conventional adenocarcinoma (AC, MAC, and SRC. The prevalence of LNM was assessed, and the long-term survival rate in the above three types of colorectal cancer was calculated. Results: SRC accounted for 0.3% and MAC accounted for 4.4% of the entire cohort of colorectal adenocarcinomas. Compared to AC, MRC and SRC were more often located in the proximal colon, and exhibited a higher grade. The incidence of LNM in AC, MAC, and SRC was 10.6%, 17.2%, and 33.3% for colon cancers and 14.8%, 25.9%, and 46.2% for rectal cancers, respectively. In patients with lymph nodes resected no less than 12, incidence of LNM in AC, MRC, and SRC was 12%, 21%, and 44% for colon tumors and 17%, 30%, and 14% for rectal tumors, respectively. Although, colon patients MAC showed an entirely worse survival rate than AC, rectum patients MAC showed a similar prognosis to AC. We found that in patients with rectal tumors, SRC had a worse 3 and 5-year prognosis than AC. However, for colon cancers, the prognosis of SRC was similar to that of AC. Histology was not found to be an independent prognostic factor in multivariate survival analysis. Conclusions: MAC and SRC are two distinct subtypes of colorectal cancer that require special attention despite their relatively rare prevalence. pT1 patients with SRC of the rectum and patients with MAC of the colon have higher incidences of LNM, and with these adverse outcomes, local excision is not recommended. AlthoughMAC of the

Study on the diagnostic value of plasma Adrenomedullin (AM) levels determination for differentiation of pulmonary cancer from pulmonary tuberculosis

International Nuclear Information System (INIS)

Yu Hua; Sun Shuhong; Xu Shuhua; Zhu Wenru; Yu Hui

2005-01-01

Objective: To explore the relationship between plasma adrenomedullin (AM) levels and pulmonary cancer as well as the diagnostic value of AM levels determination for differentiation of pulmonary cancer from pulmonary tuberculosis. Methods: Plasma levels of AM in patients with pulmonary cancer (n=43), pulmonary tuberculosis (n=43) and 43 controls were determined with RIA. Results: Plasma levels of AM (98.46 ± 29.28 ng/ml) in patients with pulmonary cancer were significantly higher than those in patients with pulmonary tuberculosis (61.46 ± 19.57 ng/ml) as well as those in controls (40.22 ± 8.23 ng/ml) (both P<0.01). Levels in patients with small cell carcinoma were significantly lower than those in patients with adenocarcinoma and squamous cell carcinoma (both P<0.05). Positive correlation existed between the plasma levels of AM and the severity (grading 1 to 4) of the disease (P<0.05). Conclusion: Adrenomedullin could be regarded as a valuable plasma marker for differentiating lung cancer from tuberculosis. The plasma AM levels might be able to reflect the severity and predict the prognosis of the disease. Besides, high AM levels might suggest a tentative diagnosis of lung cancer in patients without pathologic evidence. (authors)

A Pilot Study on the Potential of RNA-Associated to Urinary Vesicles as a Suitable Non-Invasive Source for Diagnostic Purposes in Bladder Cancer

International Nuclear Information System (INIS)

Perez, Amparo; Loizaga, Ana; Arceo, Raquel; Lacasa, Isabel; Rabade, Ainara; Zorroza, Kerman; Mosen-Ansorena, David; Gonzalez, Esperanza; Aransay, Ana M.; Falcon-Perez, Juan M.; Unda-Urzaiz, Miguel; Royo, Felix

2014-01-01

Bladder cancer is one of the most common cancers and, together with prostate carcinoma, accounts for the majority of the malignancies of the genitourinary tract. Since prognosis ameliorates with early detection, it will be beneficial to have a repertoire of diagnostic markers that could complement the current diagnosis protocols. Recently, cell-secreted extracellular vesicles have received great interest as a source of low invasive disease biomarkers because they are found in many body fluids, including urine. The current work describes a pilot study to generate an array-based catalogue of mRNA associated to urinary vesicles, and also a comparison with samples obtained from bladder cancer patients. After an analysis of presence/absence of transcripts in bladder cancer EVs, a list of genes was selected for further validation using PCR technique. We found four genes differentially expressed in cancer samples. LASS2 and GALNT1 were present in cancer patients, while ARHGEF39 and FOXO3 were found only in non-cancer urinary vesicles. Previous studies have pointed to the involvement of those genes in tumour progression and metastasis

A Pilot Study on the Potential of RNA-Associated to Urinary Vesicles as a Suitable Non-Invasive Source for Diagnostic Purposes in Bladder Cancer

Energy Technology Data Exchange (ETDEWEB)

Perez, Amparo; Loizaga, Ana; Arceo, Raquel; Lacasa, Isabel; Rabade, Ainara [Urology Service, Basurto University Hospital, Bilbao 48013, Bizkaia (Spain); Zorroza, Kerman [Basque Foundation for Health Innovation and Research (BIOEF), DNA Laboratory, Basurto Hospital, Bilbao 48013, Bizkaia (Spain); Mosen-Ansorena, David [Genome Analysis Platform, CIC bioGUNE, CIBERehd, Bizkaia Technology Park, Derio 48160, Bizkaia (Spain); Gonzalez, Esperanza [Metabolomics Unit, CIC bioGUNE, CIBERehd, Bizkaia Technology Park, Derio 48160, Bizkaia (Spain); Aransay, Ana M. [Genome Analysis Platform, CIC bioGUNE, CIBERehd, Bizkaia Technology Park, Derio 48160, Bizkaia (Spain); Falcon-Perez, Juan M. [Metabolomics Unit, CIC bioGUNE, CIBERehd, Bizkaia Technology Park, Derio 48160, Bizkaia (Spain); IKERBASQUE, Basque Foundation for Science, Bilbao 48011, Bizkaia (Spain); Unda-Urzaiz, Miguel [Urology Service, Basurto University Hospital, Bilbao 48013, Bizkaia (Spain); Royo, Felix, E-mail: froyo.ciberehd@cicbiogune.es [Metabolomics Unit, CIC bioGUNE, CIBERehd, Bizkaia Technology Park, Derio 48160, Bizkaia (Spain)

2014-01-22

Bladder cancer is one of the most common cancers and, together with prostate carcinoma, accounts for the majority of the malignancies of the genitourinary tract. Since prognosis ameliorates with early detection, it will be beneficial to have a repertoire of diagnostic markers that could complement the current diagnosis protocols. Recently, cell-secreted extracellular vesicles have received great interest as a source of low invasive disease biomarkers because they are found in many body fluids, including urine. The current work describes a pilot study to generate an array-based catalogue of mRNA associated to urinary vesicles, and also a comparison with samples obtained from bladder cancer patients. After an analysis of presence/absence of transcripts in bladder cancer EVs, a list of genes was selected for further validation using PCR technique. We found four genes differentially expressed in cancer samples. LASS2 and GALNT1 were present in cancer patients, while ARHGEF39 and FOXO3 were found only in non-cancer urinary vesicles. Previous studies have pointed to the involvement of those genes in tumour progression and metastasis.

Family history of cancer other than breast or ovarian cancer in first-degree relatives is associated with poor breast cancer prognosis.

Science.gov (United States)

Song, Jun-Long; Chen, Chuang; Yuan, Jing-Ping; Li, Juan-Juan; Sun, Sheng-Rong

2017-04-01

Whether a first-degree family history of others cancers (FHOC) than breast or ovarian cancer (BOC) is associated with breast cancer prognosis remains unknown. Thus, the aim of the present study was to clarify this issue. Women who were diagnosed with invasive breast cancer at the Renmin Hospital of Wuhan University from 2010 to 2013 were included in the study. The demographic and clinicopathological characteristics of these patients were extracted. FHOC was considered positive for any patient who had a relative who had been diagnosed with cancer other than BOC. Disease-free survival (DFS) was calculated based on the date of diagnosis. DFS was analyzed using the Cox proportional hazards model. A total of 434 breast cancer patients were included in this study. Among these patients, 61 (14.06%) had a positive FHOC in first-degree relatives. Patients with a positive FHOC tended to have HER2-positive breast cancer (p = 0.03). In the survival analysis, FHOC was associated with poor DFS in both univariate (HR = 2.21 (1.28-3.83), 95% CI: 1.28-3.83, p breast cancer patients with FHOC, especially in patients with luminal A subtype. Copyright © 2017 Elsevier Ltd. All rights reserved.

Dietary intervention strategies to modulate prostate cancer risk and prognosis.

Science.gov (United States)

Freedland, Stephen J; Aronson, William J

2009-05-01

There is increasing interest in complementary and holistic approaches for cancer prevention and management. We sought to review the latest literature regarding dietary interventions for prostate cancer with a special emphasis on dietary fat and carbohydrate intake for modulating prognosis among men with prostate cancer. Several recent prospective trials have investigated various dietary and lifestyle investigations on malignant prostate tissue biology. These interventions included a very low-fat (12% fat kcals) vegan diet with various supplements and lifestyle changes, a more traditional low-fat diet (25% fat kcals) with flaxseed supplementation, and a low-glycemic index diet. Low-glycemic index and very low-fat vegan diets (with supplements and lifestyle changes) alter tumor biology as assessed by tumor gene expression changes, with a common mechanism perhaps being weight loss whereas no effects were seen with a traditional low-fat diet. In mice, either very low-fat or low-carbohydrate diets significantly slow tumor growth independent of weight loss. Epidemiologic and preclinical data also suggest cholesterol intake and serum cholesterol levels may be linked with the development and progression of prostate cancer. Small clinical trials suggest that tumor biology can be altered by either a vegan low-fat diet or eliminating simple carbohydrates accompanied by weight loss. Larger and longer term studies are needed to determine the clinical relevance of these findings.

Cost analysis of breast cancer diagnostic assessment programs.

Science.gov (United States)

Honein-AbouHaidar, G N; Hoch, J S; Dobrow, M J; Stuart-McEwan, T; McCready, D R; Gagliardi, A R

2017-10-01

Diagnostic assessment programs (daps) appear to improve the diagnosis of cancer, but evidence of their cost-effectiveness is lacking. Given that no earlier study used secondary financial data to estimate the cost of diagnostic tests in the province of Ontario, we explored how to use secondary financial data to retrieve the cost of key diagnostic test services in daps, and we tested the reliability of that cost-retrieving method with hospital-reported costs in preparation for future cost-effectiveness studies. We powered our sample at an alpha of 0.05, a power of 80%, and a margin of error of ±5%, and randomly selected a sample of eligible patients referred to a dap for suspected breast cancer during 1 January-31 December 2012. Confirmatory diagnostic tests received by each patient were identified in medical records. Canadian Classification of Health Intervention procedure codes were used to search the secondary financial data Web portal at the Ontario Case Costing Initiative for an estimate of the direct, indirect, and total costs of each test. The hospital-reported cost of each test received was obtained from the host-hospital's finance department. Descriptive statistics were used to calculate the cost of individual or group confirmatory diagnostic tests, and the Wilcoxon signed-rank test or the paired t-test was used to compare the Ontario Case Costing Initiative and hospital-reported costs. For the 191 identified patients with suspected breast cancer, the estimated total cost of $72,195.50 was not significantly different from the hospital-reported total cost of $72,035.52 ( p = 0.24). Costs differed significantly when multiple tests to confirm the diagnosis were completed during one patient visit and when confirmatory tests reported in hospital data and in medical records were discrepant. The additional estimated cost for non-salaried physicians delivering diagnostic services was $28,387.50. It was feasible to use secondary financial data to retrieve the cost

Long-term Postoperative Nutritional Status Affects Prognosis Even After Infectious Complications in Gastric Cancer.

Science.gov (United States)

Kiuchi, Jun; Komatsu, Shuhei; Kosuga, Toshiyuki; Kubota, Takeshi; Okamoto, Kazuma; Konishi, Hirotaka; Shiozaki, Atsushi; Fujiwara, Hitoshi; Ichikawa, Daisuke; Otsuji, Eigo

2018-05-01

This study was designed to investigate the clinical impact of postoperative serum albumin level on severe postoperative complications (SPCs) and prognosis. Data for a total of 728 consecutive patients who underwent curative gastrectomy for gastric cancer between 2004 and 2013 were retrospectively analyzed. From these patients, a propensity score-matched analysis was performed based on 14 clinicopathological and surgical factors. Short-term decrease in postoperative serum albumin level was not associated with the occurrence of SPCs. Regarding long-term decrease in serum albumin level, a decrease of ≥0.5 g/dl at 3 months did not affect the long-term survival of patients without SPCs, but was related to a significantly poorer prognosis in patients with SPCs. By multivariate analysis, long-term decrease of serum albumin level was an independent prognostic factor in patients with SPCs. Long-term postoperative nutritional status as shown by a low level of albumin was related to prognosis in patients with SPCs. Copyright© 2018, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Expression of CIAPIN1 in human colorectal cancer and its correlation with prognosis

International Nuclear Information System (INIS)

Shi, Hai; Wang, Weizhong; Zhao, Qingchuan; Zhou, Yi; Liu, Heliang; Chen, Changsheng; Li, Shujun; Li, Nanlin; Li, Xiaohua; Zhang, Xi; Zhang, Hongwei

2010-01-01

The cytokine-induced anti-apoptotic molecule (CIAPIN1) had been found to be a differentially-expressed gene involved in a variety of cancers, and it was also considered as a candidate tumour suppressor gene in gastric cancer, renal cancer and liver cancer. However, studies on the role of CIAPIN1 in colorectal cancer were still unavailable. The aim of this study was to determine the prognostic impact of CIAPIN1 in 273 colorectal cancer (CRC) samples and to investigate the CIAPIN1 expression in CRC cell lines after inducing differentiation. Immunohistochemical analysis was performed to detect the expression of CIAPIN1 in CRC samples from 273 patients. The relationship between CIAPIN1 expression and patients' characteristics (gender, age, location of cancer, UICC stage, local recurrence and tumour grade factors) was evaluated. In addition, these patients were followed up for five consecutive years to investigate the relationship between CIAPIN1 expression and the prognosis of CRC. We induced the differentiation of the CRC cell lines HT29 and SW480, in order to detect the expression of CIAPIN1 in the process of CRC cells differentiation. Results indicated that CIAPIN1 was mainly expressed in the cytoplasm and nucleus, and that its expression level in cancer samples was significantly lower than in normal tissues. The Wilcoxon-Mann-Whitney test showed a significant difference in the differential expression of CIAPIN1 in patients with different T and UICC stages, and tumour grade (P = 0.0393, 0.0297 and 0.0397, respectively). The Kaplan-Meier survival analysis demonstrated that the survival time of CRC patients with high expression of CIAPIN1 was longer than those with low expression during the 5-year follow up period (P = 0.0002). COX regression analysis indicated that low expression of CIAPIN1, cancer stage of > pT1, distant organ metastasis (pM 1 ), regional lymph node metastasis (> pN 1 ) and local recurrence (yes) were independent, poor prognostic factors of CRC

Clinicopathologic and gene expression parameters predict liver cancer prognosis

International Nuclear Information System (INIS)

Hao, Ke; Zhong, Hua; Greenawalt, Danielle; Ferguson, Mark D; Ng, Irene O; Sham, Pak C; Poon, Ronnie T; Molony, Cliona; Schadt, Eric E; Dai, Hongyue; Luk, John M; Lamb, John; Zhang, Chunsheng; Xie, Tao; Wang, Kai; Zhang, Bin; Chudin, Eugene; Lee, Nikki P; Mao, Mao

2011-01-01

The prognosis of hepatocellular carcinoma (HCC) varies following surgical resection and the large variation remains largely unexplained. Studies have revealed the ability of clinicopathologic parameters and gene expression to predict HCC prognosis. However, there has been little systematic effort to compare the performance of these two types of predictors or combine them in a comprehensive model. Tumor and adjacent non-tumor liver tissues were collected from 272 ethnic Chinese HCC patients who received curative surgery. We combined clinicopathologic parameters and gene expression data (from both tissue types) in predicting HCC prognosis. Cross-validation and independent studies were employed to assess prediction. HCC prognosis was significantly associated with six clinicopathologic parameters, which can partition the patients into good- and poor-prognosis groups. Within each group, gene expression data further divide patients into distinct prognostic subgroups. Our predictive genes significantly overlap with previously published gene sets predictive of prognosis. Moreover, the predictive genes were enriched for genes that underwent normal-to-tumor gene network transformation. Previously documented liver eSNPs underlying the HCC predictive gene signatures were enriched for SNPs that associated with HCC prognosis, providing support that these genes are involved in key processes of tumorigenesis. When applied individually, clinicopathologic parameters and gene expression offered similar predictive power for HCC prognosis. In contrast, a combination of the two types of data dramatically improved the power to predict HCC prognosis. Our results also provided a framework for understanding the impact of gene expression on the processes of tumorigenesis and clinical outcome

MLH1 Promoter Methylation and Prediction/Prognosis of Gastric Cancer: A Systematic Review and Meta and Bioinformatic Analysis.

Science.gov (United States)

Shen, Shixuan; Chen, Xiaohui; Li, Hao; Sun, Liping; Yuan, Yuan

2018-01-01

Background: The promoter methylation of MLH1 gene and gastric cancer (GC)has been investigated previously. To get a more credible conclusion, we performed a systematic review and meta and bioinformatic analysis to clarify the role of MLH1 methylation in the prediction and prognosis of GC. Methods: Eligible studies were targeted after searching the PubMed, Web of Science, Embase, BIOSIS, CNKI and Wanfang Data to collect the information of MLH1 methylation and GC. The link strength between the two was estimated by odds ratio with its 95% confidence interval. The Newcastle-Ottawa scale was used for quantity assessment . Subgroup and sensitivity analysis were conducted to explore sources of heterogeneity. The Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) were employed for bioinformatics analysis on the correlation between MLH1 methylation and GC risk, clinicopathological behavior as well as prognosis. Results: 2365 GC and 1563 controls were included in the meta-analysis. The pooled OR of MLH1 methylation in GC was 4.895 (95% CI: 3.149-7.611, PMLH1 methylation enhanced GC risk but might not related with GC clinicopathological features and prognosis. Conclusion: MLH1 methylation is an alive biomarker for the prediction of GC and it might not affect GC behavior. Further study could be conducted to verify the impact of MLH1 methylation on GC prognosis.

Understanding Cancer Prognosis

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Understanding Cancer Prognosis

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CD147 expression in human gastric cancer is associated with tumor recurrence and prognosis.

Directory of Open Access Journals (Sweden)

Dake Chu

Full Text Available CD147 is correlated with tumor aggressiveness in various human malignancies. Here, we investigated CD147 protein expression in 223 patients with gastric cancer by immunohistochemistry and analyzed its association with disease-free and overall survival. CD147 was increased in gastric cancer compared to normal tissues. Additionally, CD147 expression was associated with gastric cancer invasion, metastasis and TNM stage, whereas it was not related to age, sex, differentiation status, tumor site or Lauren classification. Kaplan-Meier analysis confirmed that CD147 was associated with disease-free and overall survival in patients with gastric cancer; i.e., patients with positive CD147 staining tend to have worse disease-free and overall survival. Moreover, Cox's proportional hazards analysis demonstrated that CD147 was an independent marker of disease-free and overall survival for patients with gastric cancer. These results confirm the association of CD147 with gastric cancer invasion and metastasis and prove that CD147 might be an indicator of tumor recurrence and prognosis in gastric cancer.

Management and prognosis of locally recurrent rectal cancer - A national population-based study.

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Westberg, Karin; Palmer, Gabriella; Hjern, Fredrik; Johansson, Hemming; Holm, Torbjörn; Martling, Anna

2018-01-01

The rate of local recurrence of rectal cancer (LRRC) has decreased but the condition remains a therapeutic challenge. This study aimed to examine treatment and prognosis in patients with LRRC in Sweden. Special focus was directed towards potential differences between geographical regions and time periods. All patients with LRRC as first event, following primary surgery for rectal cancer performed during the period 1995-2002, were included in this national population-based cohort-study. Data were collected from the Swedish Colorectal Cancer Registry and from medical records. The cohort was divided into three time periods, based on the date of diagnosis of the LRRC. In total, 426 patients fulfilled the inclusion criteria. Treatment with curative intent was performed in 149 patients (35%), including 121 patients who had a surgical resection of the LRRC. R0-resection was achieved in 64 patients (53%). Patients with a non-centrally located tumour were more likely to have positive resection margins (R1/R2) (OR 5.02, 95% CI:2.25-11.21). Five-year survival for patients resected with curative intent was 43% after R0-resection and 14% after R1-resection. There were no significant differences in treatment intention or R0-resection rate between time periods or regions. The risk of any failure was significantly higher in R1-resected patients compared with R0-resected patients (HR 2.04, 95% CI:1.22-3.40). A complete resection of the LRRC is essential for potentially curative treatment. Time period and region had no influence on either margin status or prognosis. Copyright © 2017 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.

[Small-cell lung cancer: epidemiology, diagnostics and therapy].

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Pešek, Miloš; Mužík, Jan

Authors present actual overview of information on diagnostic and therapeutic procedures in small-cell lung cancer (SCLC). This highly aggressive type of lung cancer is diagnosed in 14.8 % of Czech lung cancer patients. Vast majority of those patients (87 %) suffer from advanced and metastatic disease in the time of diagnosis. In this issue are presented prognostic factors, staging diagnostic procedures and therapeutic recommendations. The backbone of actual SCLC treatment is combined chemotherapy and radiotherapy and less frequently, carefully in selected cases, surgical procedures. SCLC should be have as chemosensitive, chemoresistent or chemorefractory disease. Actual cytostatic combinations used in 1st line treatment, different schedules of chemoradiotherapy, drugs used in second line treatment and schedules and timing of prophylactic brain irradiation are presented. In near future, perspectively, there are some promissible data on antitumour immunotherapy based on anti CTLA-4 and anti PD-1/PE-L1 antibodies also in SCLC patients.Key words: cancer immunotherapy - concomitant chemoradiotherapy - chemotherapy - chest radiotherapy - lung resections - prophylactic brain irradiation - small cell lung cancer.

Diagnostic Medical Imaging in Pediatric Patients and Subsequent Cancer Risk.

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Mulvihill, David J; Jhawar, Sachin; Kostis, John B; Goyal, Sharad

2017-11-01

The use of diagnostic medical imaging is becoming increasingly more commonplace in the pediatric setting. However, many medical imaging modalities expose pediatric patients to ionizing radiation, which has been shown to increase the risk of cancer development in later life. This review article provides a comprehensive overview of the available data regarding the risk of cancer development following exposure to ionizing radiation from diagnostic medical imaging. Attention is paid to modalities such as computed tomography scans and fluoroscopic procedures that can expose children to radiation doses orders of magnitude higher than standard diagnostic x-rays. Ongoing studies that seek to more precisely determine the relationship of diagnostic medical radiation in children and subsequent cancer development are discussed, as well as modern strategies to better quantify this risk. Finally, as cardiovascular imaging and intervention contribute substantially to medical radiation exposure, we discuss strategies to enhance radiation safety in these areas. Copyright © 2017 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Altered mitochondrial genome content signals worse pathology and prognosis in prostate cancer.

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Kalsbeek, Anton M F; Chan, Eva K F; Grogan, Judith; Petersen, Desiree C; Jaratlerdsiri, Weerachai; Gupta, Ruta; Lyons, Ruth J; Haynes, Anne-Maree; Horvath, Lisa G; Kench, James G; Stricker, Phillip D; Hayes, Vanessa M

2018-01-01

Mitochondrial genome (mtDNA) content is depleted in many cancers. In prostate cancer, there is intra-glandular as well as inter-patient mtDNA copy number variation. In this study, we determine if mtDNA content can be used as a predictor for prostate cancer staging and outcomes. Fresh prostate cancer biopsies from 115 patients were obtained at time of surgery. All cores underwent pathological review, followed by isolation of cancer and normal tissue. DNA was extracted and qPCR performed to quantify the total amount of mtDNA as a ratio to genomic DNA. Differences in mtDNA content were compared for prostate cancer pathology features and disease outcomes. We showed a significantly reduced mtDNA content in prostate cancer compared with normal adjacent prostate tissue (mean difference 1.73-fold, P-value Prostate cancer with increased mtDNA content showed unfavorable pathologic characteristics including, higher disease stage (PT2 vs PT3 P-value = 0.018), extracapsular extension (P-value = 0.02) and a trend toward an increased Gleason score (P-value = 0.064). No significant association was observed between changes in mtDNA content and biochemical recurrence (median follow up of 107 months). Contrary to other cancer types, prostate cancer tissue shows no universally depleted mtDNA content. Rather, the change in mtDNA content is highly variable, mirroring known prostate cancer genome heterogeneity. Patients with high mtDNA content have an unfavorable pathology, while a high mtDNA content in normal adjacent prostate tissue is associated with worse prognosis. © 2017 Wiley Periodicals, Inc.

Low expression of CysLT1R and high expression of CysLT2R mediate good prognosis in colorectal cancer

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Magnusson, Cecilia; Mezhybovska, Maryna; Lörinc, Ester

2010-01-01

Colorectal cancer is the third most common cancer type in the Western world. In search of new treatment possibilities, the inflammation mediators, know as cysteinyl leukotrienes (CysLTs), have been shown to regulate intestinal epithelial cell survival and proliferation via the CysLT(1)R, and cell...... microarray of 329 colorectal patients. We found that high nuclear expression of CysLT(1)R is associated with a poor prognosis, whereas high nuclear expression of CysLT(2)R is associated with a good prognosis. We also observed that patients with colorectal tumours characterised by high CysLT(1)R but low Cys...

Prognosis in advanced lung cancer--A prospective study examining key clinicopathological factors.

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Simmons, Claribel P; Koinis, Filippos; Fallon, Marie T; Fearon, Kenneth C; Bowden, Jo; Solheim, Tora S; Gronberg, Bjorn Henning; McMillan, Donald C; Gioulbasanis, Ioannis; Laird, Barry J

2015-06-01

In patients with advanced incurable lung cancer deciding as to the most appropriate treatment (e.g., chemotherapy or supportive care only) is challenging. In such patients the TNM classification system has reached its ceiling therefore other factors are used to assess prognosis and as such, guide treatment. Performance status (PS), weight loss and inflammatory biomarkers (Glasgow Prognostic Score (mGPS)) predict survival in advanced lung cancer however these have not been compared. This study compares key prognostic factors in advanced lung cancer. Patients with newly diagnosed advanced lung cancer were recruited and demographics, weight loss, other prognostic factors (mGPS, PS) were collected. Kaplan-Meier and Cox regression methods were used to compare these prognostic factors. 390 patients with advanced incurable lung cancer were recruited; 341 were male, median age was 66 years (IQR 59-73) and patients had stage IV non-small cell (n=288) (73.8%) or extensive stage small cell lung cancer (n=102) (26.2%). The median survival was 7.8 months. On multivariate analysis only performance status (HR 1.74 CI 1.50-2.02) and mGPS (HR 1.67, CI 1.40-2.00) predicted survival (padvanced lung cancer. In combination, these improved survival prediction compared with either alone. Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Understanding Cancer Prognosis

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Chromatin organisation and cancer prognosis: a pan-cancer study.

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Kleppe, Andreas; Albregtsen, Fritz; Vlatkovic, Ljiljana; Pradhan, Manohar; Nielsen, Birgitte; Hveem, Tarjei S; Askautrud, Hanne A; Kristensen, Gunnar B; Nesbakken, Arild; Trovik, Jone; Wæhre, Håkon; Tomlinson, Ian; Shepherd, Neil A; Novelli, Marco; Kerr, David J; Danielsen, Håvard E

2018-03-01

Chromatin organisation affects gene expression and regional mutation frequencies and contributes to carcinogenesis. Aberrant organisation of DNA has been correlated with cancer prognosis in analyses of the chromatin component of tumour cell nuclei using image texture analysis. As yet, the methodology has not been sufficiently validated to permit its clinical application. We aimed to define and validate a novel prognostic biomarker for the automatic detection of heterogeneous chromatin organisation. Machine learning algorithms analysed the chromatin organisation in 461 000 images of tumour cell nuclei stained for DNA from 390 patients (discovery cohort) treated for stage I or II colorectal cancer at the Aker University Hospital (Oslo, Norway). The resulting marker of chromatin heterogeneity, termed Nucleotyping, was subsequently independently validated in six patient cohorts: 442 patients with stage I or II colorectal cancer in the Gloucester Colorectal Cancer Study (UK); 391 patients with stage II colorectal cancer in the QUASAR 2 trial; 246 patients with stage I ovarian carcinoma; 354 patients with uterine sarcoma; 307 patients with prostate carcinoma; and 791 patients with endometrial carcinoma. The primary outcome was cancer-specific survival. In all patient cohorts, patients with chromatin heterogeneous tumours had worse cancer-specific survival than patients with chromatin homogeneous tumours (univariable analysis hazard ratio [HR] 1·7, 95% CI 1·2-2·5, in the discovery cohort; 1·8, 1·0-3·0, in the Gloucester validation cohort; 2·2, 1·1-4·5, in the QUASAR 2 validation cohort; 3·1, 1·9-5·0, in the ovarian carcinoma cohort; 2·5, 1·8-3·4, in the uterine sarcoma cohort; 2·3, 1·2-4·6, in the prostate carcinoma cohort; and 4·3, 2·8-6·8, in the endometrial carcinoma cohort). After adjusting for established prognostic patient characteristics in multivariable analyses, Nucleotyping was prognostic in all cohorts except for the prostate carcinoma

Presence of S100A9-positive inflammatory cells in cancer tissues correlates with an early stage cancer and a better prognosis in patients with gastric cancer

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Fan, Biao; Li, Ying-Ai; Du, Hong; Zhao, Wei; Niu, Zhao-Jian; Lu, Ai-Ping; Li, Ji-You; Ji, Jia-Fu; Zhang, Lian-Hai; Jia, Yong-ning; Zhong, Xi-Yao; Liu, Yi-Qiang; Cheng, Xiao-Jing; Wang, Xiao-Hong; Xing, Xiao-Fang; Hu, Ying

2012-01-01

S100A9 was originally discovered as a factor secreted by inflammatory cells. Recently, S100A9 was found to be associated with several human malignancies. The purpose of this study is to investigate S100A9 expression in gastric cancer and explore its role in cancer progression. S100A9 expression in gastric tissue samples from 177 gastric cancer patients was assessed by immunohistochemistry. The expression of its dimerization partner S100A8 and the S100A8/A9 heterodimer were also assessed by the same method. The effect of exogenous S100A9 on motility of gastric cancer cells AGS and BGC-823 was then investigated. S100A9 was specifically expressed by inflammatory cells such as macrophages and neutrophils in human gastric cancer and gastritis tissues. Statistical analysis showed that a high S100A9 cell count (> = 200) per 200x magnification microscopic field in cancer tissues was predictive of early stage gastric cancer. High S100A9-positive cell count was negatively correlated with lymph node metastasis (P = 0.009) and tumor invasion (P = 0.011). S100A9 was identified as an independent prognostic predictor of overall survival of patients with gastric cancer (P = 0.04). Patients with high S100A9 cell count were with favorable prognosis (P = 0.021). Further investigation found that S100A8 distribution in human gastric cancer tissues was similar to S100A9. However, the number of S100A8-positive cells did not positively correlate with patient survival. The inflammatory cells infiltrating cancer were S100A8/A9 negative, while those in gastritis were positive. Furthermore, exogenous S100A9 protein inhibited migration and invasion of gastric cancer cells. Our results suggested S100A9-positive inflammatory cells in gastric cancer tissues are associated with early stage of gastric cancer and good prognosis

Host-guest supramolecular nanosystems for cancer diagnostics and therapeutics.

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Wang, Lei; Li, Li-li; Fan, Yun-shan; Wang, Hao

2013-07-26

Extensive efforts have been devoted to the construction of functional supramolecular nanosystems for applications in catalysis, energy conversion, sensing and biomedicine. The applications of supramolecular nanosystems such as liposomes, micelles, inorganic nanoparticles, carbon materials for cancer diagnostics and therapeutics have been reviewed by other groups. Here, we will focus on the recent momentous advances in the implementation of typical supramolecular hosts (i.e., cyclodextrins, calixarenes, cucurbiturils and metallo-hosts) and their nanosystems in cancer diagnostics and therapeutics. We discuss the evolutive process of supramolecular nanosystems from the structural control and characterization to their diagnostic and therapeutic function exploitation and even the future potentials for clinical translation. Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Epidemiological evidence for the risk of cancer from diagnostic X-rays

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Berrington, A.

2001-01-01

The magnitude of the risk of cancer following exposure to a single moderate or high dose of ionising radiation has been studied extensively and is quite well understood. The size of the risk of cancer from diagnostic X-rays, which are low dose, fractionated exposures and constitute the largest man-made source of radiation exposure, is much more uncertain. The aim of this thesis is to evaluate the risk of cancer to radiologists and to the population from exposure to diagnostic X-rays using various epidemiological methods. The effect of fractionated radiation exposure was investigated in a cohort of 2698 British radiologists who first registered with a radiological society after 1921. There was no evidence of an overall excess risk of cancer mortality. However, there was evidence of an increasing trend in cancer mortality with time since registration with the society (p=0.0002), such that those who had first registered more than 40 years previously had a 41% (95% Cl: 3% to 90%) excess risk compared to cancer mortality rates for all medical practitioners. Indirect estimates of the risk of cancer from diagnostic X-rays to the population were calculated with lifetable methods. Using data on the current annual frequency of diagnostic X-ray exposures to the population, estimated organ doses from these X-rays and models for the risk of cancer from the Japanese atomic bomb survivors, it was estimated that 1.5% of the lifetime risk of cancer in the U.K. population could be attributable to diagnostic X-ray exposures. In fourteen other developed countries estimates ranged from 1.6% in Finland to 8.6% in Japan. Several published case-control studies of leukaemia, brain and parotid gland tumours and thyroid cancer demonstrated significant excess risks with self-reported exposures to diagnostic X-rays. Analysis of original data from a case-control study of thyroid cancer in Kuwait also found a significant trend in risk with estimated thyroid dose from self-reported upper-body X

Prognosis of dementia

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van de Vorst, IE

2016-01-01

Background: In this thesis, we focused on the prognosis of patients with dementia who visited a hospital (inpatient or day clinic care) in the Netherlands. So far, absolute mortality risks for dementia were lacking in the Netherlands, whereas these risks have been available for years for cancer or

Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks | Center for Cancer Research

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The purpose of this study was to develop a method of classifying cancers to specific diagnostic categories based on their gene expression signatures using artificial neural networks (ANNs). We trained the ANNs using the small, round blue-cell tumors (SRBCTs) as a model. These cancers belong to four distinct diagnostic categories and often present diagnostic dilemmas in

Understanding Cancer Prognosis

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Clinical value of prognosis gene expression signatures in colorectal cancer: a systematic review.

Directory of Open Access Journals (Sweden)

Rebeca Sanz-Pamplona

Full Text Available INTRODUCTION: The traditional staging system is inadequate to identify those patients with stage II colorectal cancer (CRC at high risk of recurrence or with stage III CRC at low risk. A number of gene expression signatures to predict CRC prognosis have been proposed, but none is routinely used in the clinic. The aim of this work was to assess the prediction ability and potential clinical usefulness of these signatures in a series of independent datasets. METHODS: A literature review identified 31 gene expression signatures that used gene expression data to predict prognosis in CRC tissue. The search was based on the PubMed database and was restricted to papers published from January 2004 to December 2011. Eleven CRC gene expression datasets with outcome information were identified and downloaded from public repositories. Random Forest classifier was used to build predictors from the gene lists. Matthews correlation coefficient was chosen as a measure of classification accuracy and its associated p-value was used to assess association with prognosis. For clinical usefulness evaluation, positive and negative post-tests probabilities were computed in stage II and III samples. RESULTS: Five gene signatures showed significant association with prognosis and provided reasonable prediction accuracy in their own training datasets. Nevertheless, all signatures showed low reproducibility in independent data. Stratified analyses by stage or microsatellite instability status showed significant association but limited discrimination ability, especially in stage II tumors. From a clinical perspective, the most predictive signatures showed a minor but significant improvement over the classical staging system. CONCLUSIONS: The published signatures show low prediction accuracy but moderate clinical usefulness. Although gene expression data may inform prognosis, better strategies for signature validation are needed to encourage their widespread use in the clinic.

[The diagnostic value of microsatellite LOH analysis and the prognostic relevance of angiogenic gene expression in urinary bladder cancer].

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Szarvas, Tibor

2009-12-01

Bladder cancer is the second most common malignancy affecting the urinary system. Currently, histology is the only tool that determines therapy and patients' prognosis. As the treatment of non-invasive (Ta/T1) and muscle invasive (T2-T4) bladder tumors are completely different, correct staging is important, although it is often hampered by disturbing factors. Molecular methods offer new prospects for early disease detection, confirmation of unclear histological findings and prognostication. Applying molecular biological methods, the present study is searching for answers to current diagnostic and prognostic problems in bladder carcinoma. We analyzed tumor, blood and/or urine samples of 334 bladder cancer patients and 117 control individuals. Genetic alterations were analyzed in urine samples of patients and controls, both by PCR-based microsatellite loss of heterozigosity (LOH) analysis using 12 fluorescently labeled primers and by DNA hybridization based UroVysion FISH technique using 4 probes, to assess the diagnostic values of these methods. Whole genome microsatellite analysis (with 400 markers) was performed in tumor and blood specimens of bladder cancer patients to find chromosomal regions, the loss of which may be associated with tumor stage. Furthermore, we assessed the prognostic value of Tie2, VEGF, Angiopoietin-1 and -2. We concluded that DNA analysis of voided urine samples by microsatellite analysis and FISH are sensitive and non-invasive methods to detect bladder cancer. Furthermore, we established a panel of microsatellite markers that could differentiate between non-invasive and invasive bladder cancer. However, further analyses in a larger cohort of patients are needed to assess their specificity and sensitivity. Finally, we identified high Ang-2 and low Tie2 gene expression as significant and independent risk factors of tumor recurrence and cancer related survival.

Quality assured health care in certified breast centers and improvement of the prognosis of breast cancer patients.

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Beckmann, Matthias W; Brucker, Cosima; Hanf, Volker; Rauh, Claudia; Bani, Mayada R; Knob, Stefanie; Petsch, Sabrina; Schick, Stefan; Fasching, Peter A; Hartmann, Arndt; Lux, Michael P; Häberle, Lothar

2011-01-01

Increasing effort has been put in the implementation and certification of breast centers in order to establish standardized, quality assured health care for breast cancer patients. The aim of this analysis was to investigate whether patients treated in certified breast centers (CBC) have a favorable prognosis as compared to patients treated outside of certified breast treatment units. The data of 3,940 patients with invasive nonmetastatic breast cancer were analyzed with regard to differences in patient and tumor characteristics and crude overall survival according to diagnosis in or outside CBC in Middle Franconia, Germany. Patient, tumor, and follow-up data were obtained from the clinical cancer registry. Patients in CBC were younger, and had lower disease stages and lower grading. Independent of the effects of these variables on overall survival, being treated at a CBC added to the prediction of overall survival. Patients treated at a CBC had a hazard ratio of 0.70 (95% confidence interval 0.52-0.93) in the adjusted Cox model. Independent from common prognostic factors, diagnosis and treatment of breast cancer at a CBC improves the prognosis of patients. It can be hypothesized that this effect is mediated through quality assured health care provided by the certification process. Copyright © 2011 S. Karger AG, Basel.

In vitro downregulated hypoxia transcriptome is associated with poor prognosis in breast cancer.

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Abu-Jamous, Basel; Buffa, Francesca M; Harris, Adrian L; Nandi, Asoke K

2017-06-15

Hypoxia is a characteristic of breast tumours indicating poor prognosis. Based on the assumption that those genes which are up-regulated under hypoxia in cell-lines are expected to be predictors of poor prognosis in clinical data, many signatures of poor prognosis were identified. However, it was observed that cell line data do not always concur with clinical data, and therefore conclusions from cell line analysis should be considered with caution. As many transcriptomic cell-line datasets from hypoxia related contexts are available, integrative approaches which investigate these datasets collectively, while not ignoring clinical data, are required. We analyse sixteen heterogeneous breast cancer cell-line transcriptomic datasets in hypoxia-related conditions collectively by employing the unique capabilities of the method, UNCLES, which integrates clustering results from multiple datasets and can address questions that cannot be answered by existing methods. This has been demonstrated by comparison with the state-of-the-art iCluster method. From this collection of genome-wide datasets include 15,588 genes, UNCLES identified a relatively high number of genes (>1000 overall) which are consistently co-regulated over all of the datasets, and some of which are still poorly understood and represent new potential HIF targets, such as RSBN1 and KIAA0195. Two main, anti-correlated, clusters were identified; the first is enriched with MYC targets participating in growth and proliferation, while the other is enriched with HIF targets directly participating in the hypoxia response. Surprisingly, in six clinical datasets, some sub-clusters of growth genes are found consistently positively correlated with hypoxia response genes, unlike the observation in cell lines. Moreover, the ability to predict bad prognosis by a combined signature of one sub-cluster of growth genes and one sub-cluster of hypoxia-induced genes appears to be comparable and perhaps greater than that of known

From big data to diagnosis and prognosis: gene expression signatures in liver hepatocellular carcinoma

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Hong Yang

2017-03-01

Full Text Available Background Liver hepatocellular carcinoma accounts for the overwhelming majority of primary liver cancers and its belated diagnosis and poor prognosis call for novel biomarkers to be discovered, which, in the era of big data, innovative bioinformatics and computational techniques can prove to be highly helpful in. Methods Big data aggregated from The Cancer Genome Atlas and Natural Language Processing were integrated to generate differentially expressed genes. Relevant signaling pathways of differentially expressed genes went through Gene Ontology enrichment analysis, Kyoto Encyclopedia of Genes and Genomes and Panther pathway enrichment analysis and protein-protein interaction network. The pathway ranked high in the enrichment analysis was further investigated, and selected genes with top priority were evaluated and assessed in terms of their diagnostic and prognostic values. Results A list of 389 genes was generated by overlapping genes from The Cancer Genome Atlas and Natural Language Processing. Three pathways demonstrated top priorities, and the one with specific associations with cancers, ‘pathways in cancer,’ was analyzed with its four highlighted genes, namely, BIRC5, E2F1, CCNE1, and CDKN2A, which were validated using Oncomine. The detection pool composed of the four genes presented satisfactory diagnostic power with an outstanding integrated AUC of 0.990 (95% CI [0.982–0.998], P < 0.001, sensitivity: 96.0%, specificity: 96.5%. BIRC5 (P = 0.021 and CCNE1 (P = 0.027 were associated with poor prognosis, while CDKN2A (P = 0.066 and E2F1 (P = 0.088 demonstrated no statistically significant differences. Discussion The study illustrates liver hepatocellular carcinoma gene signatures, related pathways and networks from the perspective of big data, featuring the cancer-specific pathway with priority, ‘pathways in cancer.’ The detection pool of the four highlighted genes, namely BIRC5, E2F1, CCNE1 and CDKN2A, should be

Tumor-stroma ratio(TSR) as a potential novel predictor of prognosis in digestive system cancers: A meta-analysis.

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Zhang, Runjin; Song, Wei; Wang, Kai; Zou, Shubing

2017-09-01

The tumor-stroma ratio (TSR) has been reported as a prognosis predictor in multiple cancers. The aim of this meta-analysis was to investigate the potential value of TSR as a prognostic predictor of cancer in the digestive system. We searched PubMed, Embase, Elsevier and Web of Science. All studies exploring the association of TSR with overall survival (OS) or disease-free survival (DFS), and lymph node metastasis (LNM) were identified. In total, eight studies were eligible for analysis, and they included 1959 patients. Meta-analysis showed that the low TSR in the tumor could predict poor overall survival (OS) in multiple cancers (pooled Hazard Ratio [HR]: 2.15, 95%CI: 1.80-2.57, P<0.00001, fixed effects). For disease-free survival (DFS), low TSR was also a significant predictor (pooled Hazard Ratio [HR]: 2.31, 95%CI: 1.88-2.83, P<0.00001, fixed effects). In addition, low TSR was correlated with tumor stage. The tumor-stroma ratio (TSR) may potentially serve as a poor prognostic predictor for the metastasis and prognosis of cancer. Copyright © 2017. Published by Elsevier B.V.

Understanding Cancer Prognosis

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CtBP2 overexpression promotes tumor cell proliferation and invasion in gastric cancer and is associated with poor prognosis.

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Dai, Faxiang; Xuan, Yi; Jin, Jie-Jie; Yu, Shengjia; Long, Zi-Wen; Cai, Hong; Liu, Xiao-Wen; Zhou, Ye; Wang, Ya-Nong; Chen, Zhong; Huang, Hua

2017-04-25

C-terminal binding protein-2 (CtBP2), a transcriptional corepressor, has been reported to correlate with tumorigenesis and progression and predict a poor prognosis in several human cancers. However, few studies on CtBP2 in gastric cancer (GC) have been performed. In this research, we evaluated the correlations between CtBP2 expression and the clinicopathological characteristics, as well as prognosis of GC patients. The effects of silencing CtBP2 expression on GC cells biology activity were also assessed. The results showed that CtBP2 was overexpressed in GC tissues and closely correlated with poor differentiation, advanced tumor stage and poor prognosis in GC patients. CtBP2 induced epithelial-to-mesenchymal transition (EMT) and repressed PTEN to increase proliferation rate, migration, and invasion in GC cells. Silencing CtBP2 inhibited GC growth in nude mice model. In conclusion, CtBP2 is overexpressed in GC and may accelerate GC tumorigenesis and metastasis, which could represent an independent prognostic marker and promising therapeutic target for GC.

Cancer stem cell markers in patterning differentiation and in prognosis of oral squamous cell carcinoma.

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Mohanta, Simple; Siddappa, Gangotri; Valiyaveedan, Sindhu Govindan; Dodda Thimmasandra Ramanjanappa, Ravindra; Das, Debashish; Pandian, Ramanan; Khora, Samanta Sekhar; Kuriakose, Moni Abraham; Suresh, Amritha

2017-06-01

Differentiation is a major histological parameter determining tumor aggressiveness and prognosis of the patient; cancer stem cells with their slow dividing and undifferentiated nature might be one of the factors determining the same. This study aims to correlate cancer stem cell markers (CD44 and CD147) with tumor differentiation and evaluate their subsequent effect on prognosis. Immunohistochemical analysis in treatment naïve oral cancer patients (n = 53) indicated that the expression of CD147 was associated with poorly differentiated squamous cell carcinoma and moderately differentiated squamous cell carcinoma (p squamous cell carcinoma and poorly differentiated squamous cell carcinoma patients were CD44 high /CD147 high as compared to only 10% of patients with well-differentiated squamous cell carcinoma. A three-way analysis indicated that differentiation correlated with recurrence and survival (p oral squamous cell carcinoma cell lines originating from different grades of oral cancer. Flowcytometry-based analysis indicated an increase in CD44 + /CD147 + cells in cell lines of poorly differentiated squamous cell carcinoma (94.35 ± 1.14%, p squamous cell carcinoma origin (93.49 ± 0.47%, p squamous cell carcinoma origin (23.12% ± 0.49%). Expression profiling indicated higher expression of cancer stem cell and epithelial-mesenchymal transition markers in SCC029B (poorly differentiated squamous cell carcinoma originated; p ≤ 0.001), which was further translated into increased spheroid formation, migration, and invasion (p squamous cell carcinoma origin. This study suggests that CD44 and CD147 together improve the prognostic efficacy of tumor differentiation; in vitro results further point out that these markers might be determinant of differentiation characteristics, imparting properties of increased self-renewal, migration, and invasion.

The effect of silicone implants on the diagnosis, prognosis, and treatment of breast cancer.

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Handel, Neal

2007-12-01

Because of the prevalence of breast cancer, many augmented women eventually will develop the disease. This article reviews what is known about the effect of implants on the detection, prognosis, and treatment of carcinoma of the breast. Observations were made on 4082 breast cancer patients (3953 nonaugmented and 129 augmented) treated over a 23-year time span. Findings in the two groups were compared and differences analyzed statistically. Mammograms of all women with palpable lesions were reviewed to assess mammographic sensitivity in patients with and without implants. Cosmetic outcomes in augmented patients treated with breast conservation therapy were reviewed. Augmented patients presented more frequently with palpable lesions, invasive tumors, axillary nodal metastases, and false-negative mammograms. However, there was no significant difference in stage of disease, tumor size, recurrence rates, or survival between the two groups. Augmented patients treated with breast conservation therapy often experienced poor cosmetic results and frequently required reoperation. Despite the diminished sensitivity of mammography in women with implants, augmented and nonaugmented patients are diagnosed at a similar stage of disease and have a comparable prognosis. Implants may impair mammography but appear to facilitate tumor detection on physical examination. Magnetic resonance imaging and breast ultrasound may be useful adjuncts, but conventional mammography remains the most reliable tool for diagnosing early breast cancer in augmented patients. Breast implants do not interfere with mastectomy or breast reconstruction but may compromise the outcome of breast conservation therapy.

PET/CT diagnostic of colo-rectal cancers

International Nuclear Information System (INIS)

Straciuc, O.

2012-01-01

Full text: Objective: Presenting the advantages of Positron Emission Tomography/Computed Tomography (PET/ CT) examination, using the radiotracer fluorure 18-deoxyglucose (FDG) in colo-rectal cancer diagnostic. Basics of the method will be also presented. Introduction: FDG PET/CT is recognized as the most efficient diagnostic imaging weapon in colorectal cancer, enable too comprehend all the 3 targets needed for staging of colo-rectal cancers: 1)Detection and evaluation of primary tumor (T) and recurrence; 2) Lymphadenopathy (N); 3)Metastatic disease (M). Assessment of treatment response during and after therapy, follow up and radiotherapy planning are also indications for PET/CT. There are two essential advantages of the method: 1)The whole body examination; 2)The complementary morphological information offered by CT and functional information offered by PET. Material and methods: Study of a total of 394 patients diagnosed with colo-rectal cancer of the total of 4125 investigated by PET/CT in Diagnosztika Pozitron center of Oradea, between 01.06.2008 - 06.06.2012. All cases had documented preoperative or postoperative histopathologic evaluation. We used a Siemens Biograph 16 device and only FDG as radiotracer, injected intravenously at a dose of 0.1-0.15 mCi /kg. Standard protocol of examination was performed at 60 minutes after FDG injection. CT acquisition consists of 'low dose' from vertex to thighs, followed by PET acquisition in 7 to 8 beds. Results: We followed the performance of PET/CT diagnostic in staging and restaging of colorectal cancer compared with other imaging methods. 141 patients had negative examinations. 107 patients were diagnosed with locally recurrent lesions, lymphadenopathy and/ or metastases. Compared with the results of previous imaging new metabolically active lesions were detected in 87 patients by PET/CT and suspected lesions were denied in 48 patients. Significant clinically cases are presented. Conclusions: The data obtained by PET

The study of diagnostic efficacy of MR spectroscopy in prostate cancer

International Nuclear Information System (INIS)

Ye Jintang; Guo Xuemei; Wang Xiaoying; Li Feiyu; Jiang Xuexiang

2009-01-01

Objective: To evaluate the diagnostic efficacy of MRS in prostate cancer based on sextant localization. Methods: There were 110 patients, 54 patients with pathologically confirmed prostate cancer and 56 patients confirmed non-prostate cancer proved by ultrasound guided systemic biopsy. The (choline + creatine) / citrate (CC/C) value in each voxel and ratio of positive voxel (PVR) in sextant localization were measured. The ROC analysis was used to evaluate the diagnostic efficacy of CC/C in single voxel and PVR in sextant localization. Results: There are 1673 and 2426 voxel in prostate cancer and non-prostate cancer respectively. The median of CC/C in cancer sextants was 2.137; the median of CC/C in noncancer sextants was 0.600. The difference of these two groups was statistically significant (Z = -41.7, P < 0.01). The diagnostic sensitivity was 81.4% (1362/1673), the specificity was 83.1% (2018/2426), and the accuracy was 82.4% [(1362 + 2018)/4099] for prostatic cancer with the cutoff point 0.911 of the CC/C value. The median of PVR in cancer sextants and noncancer sextants were 1 and 0 respectively, the difference of PVR was statistically significant ( Z =-11.7, P < 0.01). The diagnostic sensitivity was 77.5% (148/191), the specificity was 76.9% (247/321), and the accuracy was 77.1%[(148 + 247)/512] for prostatic cancer with the cutoff point 0.519 of the PVR. Conclusion: Detecting the cutoff point of the CC/C value in single voxel and the PVR in sextant localization may be valuable in the diagnosis of prostate cancer. (authors)

Understanding Cancer Prognosis

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Full Text Available ... of cancer and where it is in your body The stage of the cancer, which refers to the size of the cancer and if it has spread to other parts of your body The cancer’s grade, which refers to how abnormal ...

Diagnostic and prognostic epigenetic biomarkers in cancer.

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Costa-Pinheiro, Pedro; Montezuma, Diana; Henrique, Rui; Jerónimo, Carmen

2015-01-01

Growing cancer incidence and mortality worldwide demands development of accurate biomarkers to perfect detection, diagnosis, prognostication and monitoring. Urologic (prostate, bladder, kidney), lung, breast and colorectal cancers are the most common and despite major advances in their characterization, this has seldom translated into biomarkers amenable for clinical practice. Epigenetic alterations are innovative cancer biomarkers owing to stability, frequency, reversibility and accessibility in body fluids, entailing great potential of assay development to assist in patient management. Several studies identified putative epigenetic cancer biomarkers, some of which have been commercialized. However, large multicenter validation studies are required to foster translation to the clinics. Herein we review the most promising epigenetic detection, diagnostic, prognostic and predictive biomarkers for the most common cancers.

Understanding Cancer Prognosis

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The Predictive Value of Inflammation-Related Peripheral Blood Measurements in Cancer Staging and Prognosis

Directory of Open Access Journals (Sweden)

Joanna L. Sylman

2018-03-01

Full Text Available In this review, we discuss the interaction between cancer and markers of inflammation (such as levels of inflammatory cells and proteins in the circulation, and the potential benefits of routinely monitoring these markers in peripheral blood measurement assays. Next, we discuss the prognostic value and limitations of using inflammatory markers such as neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios and C-reactive protein measurements. Furthermore, the review discusses the benefits of combining multiple types of measurements and longitudinal tracking to improve staging and prognosis prediction of patients with cancer, and the ability of novel in silico frameworks to leverage this high-dimensional data.

Vibrational spectroscopy: a clinical tool for cancer diagnostics.

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Kendall, Catherine; Isabelle, Martin; Bazant-Hegemark, Florian; Hutchings, Joanne; Orr, Linda; Babrah, Jaspreet; Baker, Rebecca; Stone, Nicholas

2009-06-01

Vibrational spectroscopy techniques have demonstrated potential to provide non-destructive, rapid, clinically relevant diagnostic information. Early detection is the most important factor in the prevention of cancer. Raman and infrared spectroscopy enable the biochemical signatures from biological tissues to be extracted and analysed. In conjunction with advanced chemometrics such measurements can contribute to the diagnostic assessment of biological material. This paper also illustrates the complementary advantage of using Raman and FTIR spectroscopy technologies together. Clinical requirements are increasingly met by technological developments which show promise to become a clinical reality. This review summarises recent advances in vibrational spectroscopy and their impact on the diagnosis of cancer.

Significance of age and comorbidity on treatment modality, treatment adherence, and prognosis in elderly ovarian cancer patients

DEFF Research Database (Denmark)

Jørgensen, Trine Lembrecht; Teiblum, Sandra; Paludan, Merete

2012-01-01

surgery, standard combination chemotherapy (TC), adherence to TC treatment, and prognosis. METHODS: A retrospective cohort study of all women registered in a nation-wide database with ovarian or peritoneal cancer in 2005-2006. Logistic regression was employed for determining the predictive value of age...

Guanine nucleotide binding protein-like 3 is a potential prognosis indicator of gastric cancer.

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Chen, Jing; Dong, Shuang; Hu, Jiangfeng; Duan, Bensong; Yao, Jian; Zhang, Ruiyun; Zhou, Hongmei; Sheng, Haihui; Gao, Hengjun; Li, Shunlong; Zhang, Xianwen

2015-01-01

Guanine nucleotide binding protein-like 3 (GNL3) is a GIP-binding nuclear protein that has been reported to be involved in various biological processes, including cell proliferation, cellular senescence and tumorigenesis. This study aimed to investigate the expression level of GNL3 in gastric cancer and to evaluate the relationship between its expression and clinical variables and overall survival of gastric cancer patients. The expression level of GNL3 was examined in 89 human gastric cancer samples using immunohistochemistry (IHC) staining. GNL3 in gastric cancer tissues was significantly upregulated compared with paracancerous tissues. GNL3 expression in adjacent non-cancerous tissues was associated with sex and tumor size. Survival analyses showed that GNL3 expression in both gastric cancer and adjacent non-cancerous tissues were not related to overall survival. However, in the subgroup of patients with larger tumor size (≥ 6 cm), a close association was found between GNL3 expression in gastric cancer tissues and overall survival. GNL3-positive patients had a shorter survival than GNL3-negative patients. Our study suggests that GNL3 might play an important role in the progression of gastric cancer and serve as a biomarker for poor prognosis in gastric cancer patients.

Precision medicine for cancer with next-generation functional diagnostics.

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Friedman, Adam A; Letai, Anthony; Fisher, David E; Flaherty, Keith T

2015-12-01

Precision medicine is about matching the right drugs to the right patients. Although this approach is technology agnostic, in cancer there is a tendency to make precision medicine synonymous with genomics. However, genome-based cancer therapeutic matching is limited by incomplete biological understanding of the relationship between phenotype and cancer genotype. This limitation can be addressed by functional testing of live patient tumour cells exposed to potential therapies. Recently, several 'next-generation' functional diagnostic technologies have been reported, including novel methods for tumour manipulation, molecularly precise assays of tumour responses and device-based in situ approaches; these address the limitations of the older generation of chemosensitivity tests. The promise of these new technologies suggests a future diagnostic strategy that integrates functional testing with next-generation sequencing and immunoprofiling to precisely match combination therapies to individual cancer patients.

Understanding Cancer Prognosis

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Full Text Available ... there are no signs of cancer at this time. Because of the chance that cancer can come back, your doctor will monitor you for many years and do tests to look for signs of cancer’s return. They will also look for signs of late side effects from the cancer treatments you received. Video Series ...

Prevalence of dental disorders in degus and evaluation of diagnostic methods to determine dental disease and its prognosis.

Science.gov (United States)

van Bolhuis, Hester; van Hoffen, Lotte; van Zijll Langhout, Martine; van Engeldorp Gastelaars, Heleen; Hendriks, Wouter; Lamberts, Marnix; Kik, Marja

2017-12-01

Degus ( Octodon degus ) are prone to develop dental disease with deleterious health effects. The two studies reported here aimed to determine the prevalence of dental disorders in degus and to identify and evaluate diagnostic tools for determination of prognosis of these disorders. In study A, health data from 225 degus at AAP, Rescue Center for Exotic Animals in the Netherlands, were collated and the prevalence of dental disorders and differences in sex and age at clinical onset of symptoms associated with dental disorders were described. The prevalence was 34.7 per cent and higher (P<0.01) in males than in females. The occurrence of cheek teeth malocclusion was highly positively (P<0.0001) correlated to mortality. In study B, 36 skulls were examined by macroscopic evaluation, radiography and histology. Additionally, the calcium:phosphorus (Ca:P) of mandibular bone in degus with and without dental disorders were determined. There was no significant (P=0.10) difference in Ca:P between the two groups. Quantifying mandibular apical cheek teeth elongation via macroscopic evaluation was highly correlated (P<0.01) to the results obtained via radiography. Examination for apical elongation by palpation and diagnostic imaging should be included in routine health monitoring of degus. Apical elongation appeared to develop before coronal elongation and when cheek teeth malocclusion occurred, prognosis for recovery of dental disease was poor. © British Veterinary Association (unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

The Prognosis of Small Cell Lung Cancer in Patients with Pulmonary Fibrosis.

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Matsumoto, Yoko; Ohara, Sayaka; Furukawa, Ryutaro; Usui, Kazuhiro

2017-10-01

The purpose of this study was to assess the prognosis of small cell lung cancer (SCLC) based on the underlying pulmonary disease. A total of 204 patients with SCLC were reviewed and categorized into three groups: normal, emphysema and fibrosis. The median overall survival duration (OS) in patients with normal lungs (n=57), with emphysema (n=105) and fibrosis (n=42) was 21.3, 16.4 and 10.8 months (p=0.063). In limited-stage disease (LD), the median OS in patients with fibrosis (7.4 months) was shorter than normal (52.7 months) or emphysema patients (26.4 months) (p=0.034). In extensive-stage disease (ED), the median OS in patients with fibrosis (12.7 months) was not significantly different from normal (11.4 months) or emphysema patients (13.5 months) (p=0.600). Patients with fibrosis had a poorer prognosis than normal or emphysema patients in LD-SCLC, but the coexistence of pulmonary fibrosis did not affect the prognostic outcomes in ED-SCLC. Copyright© 2017, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Cancer risks following diagnostic and therapeutic radiation exposure in children

Energy Technology Data Exchange (ETDEWEB)

Kleinerman, Ruth A. [National Institutes of Health, Division of Cancer Epidemiology and Genetics, National Cancer Institute, EPS 7044, Rockville, MD (United States)

2006-09-15

The growing use of interventional and fluoroscopic imaging in children represents a tremendous benefit for the diagnosis and treatment of benign conditions. Along with the increasing use and complexity of these procedures comes concern about the cancer risk associated with ionizing radiation exposure to children. Children are considerably more sensitive to the carcinogenic effects of ionizing radiation than adults, and children have a longer life expectancy in which to express risk. Numerous epidemiologic cohort studies of childhood exposure to radiation for treatment of benign diseases have demonstrated radiation-related risks of cancer of the thyroid, breast, brain and skin, as well as leukemia. Many fewer studies have evaluated cancer risk following diagnostic radiation exposure in children. Although radiation dose for a single procedure might be low, pediatric patients often receive repeated examinations over time to evaluate their conditions, which could result in relatively high cumulative doses. Several cohort studies of girls and young women subjected to multiple diagnostic radiation exposures have been informative about increased mortality from breast cancer with increasing radiation dose, and case-control studies of childhood leukemia and postnatal diagnostic radiation exposure have suggested increased risks with an increasing number of examinations. Only two long-term follow-up studies of cancer following cardiac catheterization in childhood have been conducted, and neither reported an overall increased risk of cancer. Most cancers can be induced by radiation, and a linear dose-response has been noted for most solid cancers. Risks of radiation-related cancer are greatest for those exposed early in life, and these risks appear to persist throughout life. (orig.)

Cancer risks following diagnostic and therapeutic radiation exposure in children

International Nuclear Information System (INIS)

Kleinerman, Ruth A.

2006-01-01

The growing use of interventional and fluoroscopic imaging in children represents a tremendous benefit for the diagnosis and treatment of benign conditions. Along with the increasing use and complexity of these procedures comes concern about the cancer risk associated with ionizing radiation exposure to children. Children are considerably more sensitive to the carcinogenic effects of ionizing radiation than adults, and children have a longer life expectancy in which to express risk. Numerous epidemiologic cohort studies of childhood exposure to radiation for treatment of benign diseases have demonstrated radiation-related risks of cancer of the thyroid, breast, brain and skin, as well as leukemia. Many fewer studies have evaluated cancer risk following diagnostic radiation exposure in children. Although radiation dose for a single procedure might be low, pediatric patients often receive repeated examinations over time to evaluate their conditions, which could result in relatively high cumulative doses. Several cohort studies of girls and young women subjected to multiple diagnostic radiation exposures have been informative about increased mortality from breast cancer with increasing radiation dose, and case-control studies of childhood leukemia and postnatal diagnostic radiation exposure have suggested increased risks with an increasing number of examinations. Only two long-term follow-up studies of cancer following cardiac catheterization in childhood have been conducted, and neither reported an overall increased risk of cancer. Most cancers can be induced by radiation, and a linear dose-response has been noted for most solid cancers. Risks of radiation-related cancer are greatest for those exposed early in life, and these risks appear to persist throughout life. (orig.)

A Rules-Based Algorithm to Prioritize Poor Prognosis Cancer Patients in Need of Advance Care Planning.

Science.gov (United States)

Bestvina, Christine M; Wroblewski, Kristen E; Daly, Bobby; Beach, Brittany; Chow, Selina; Hantel, Andrew; Malec, Monica; Huber, Michael T; Polite, Blase N

2018-03-13

Accurate understanding of the prognosis of an advanced cancer patient can lead to decreased aggressive care at the end of life and earlier hospice enrollment. Our goal was to determine the association between high-risk clinical events identified by a simple, rules-based algorithm and decreased overall survival, to target poor prognosis cancer patients who would urgently benefit from advanced care planning. A retrospective analysis was performed on outpatient oncology patients with an index visit from April 1, 2015, through June 30, 2015. We examined a three-month window for "high-risk events," defined as (1) change in chemotherapy, (2) emergency department (ED) visit, and (3) hospitalization. Patients were followed until January 31, 2017. A total of 219 patients receiving palliative chemotherapy at the University of Chicago Medicine with a prognosis of ≤12 months were included. The main outcome was overall survival, and each "high-risk event" was treated as a time-varying covariate in a Cox proportional hazards regression model to calculate a hazard ratio (HR) of death. A change in chemotherapy regimen, ED visit, hospitalization, and at least one high-risk event occurred in 54% (118/219), 10% (22/219), 26% (57/219), and 67% (146/219) of patients, respectively. The adjusted HR of death for patients with a high-risk event was 1.72 (95% confidence interval [CI] 1.19-2.46, p = 0.003), with hospitalization reaching significance (HR 2.74, 95% CI 1.84-4.09, p rules-based algorithm identified those with the greatest risk of death among a poor prognosis patient group. Implementation of this algorithm in the electronic health record can identify patients with increased urgency to address goals of care.

Pattern of Tumor Shrinkage during Neoadjuvant Chemotherapy Is Associated with Prognosis in Low-Grade Luminal Early Breast Cancer.

Science.gov (United States)

Fukada, Ippei; Araki, Kazuhiro; Kobayashi, Kokoro; Shibayama, Tomoko; Takahashi, Shunji; Gomi, Naoya; Kokubu, Yumi; Oikado, Katsunori; Horii, Rie; Akiyama, Futoshi; Iwase, Takuji; Ohno, Shinji; Hatake, Kiyohiko; Sata, Naohiro; Ito, Yoshinori

2018-01-01

Purpose To evaluate the association between tumor shrinkage patterns shown with magnetic resonance (MR) imaging during neoadjuvant chemotherapy (NAC) and prognosis in patients with low-grade luminal breast cancer. Materials and Methods This retrospective study was approved by the institutional review board and informed consent was obtained from all subjects. The low-grade luminal breast cancer was defined as hormone receptor-positive and human epidermal growth factor receptor 2-negative with nuclear grades 1 or 2. The patterns of tumor shrinkage as revealed at MR imaging were categorized into two types: concentric shrinkage (CS) and non-CS. Among 854 patients who had received NAC in a single institution from January 2000 to December 2009, 183 patients with low-grade luminal breast cancer were retrospectively evaluated for the development set. Another data set from 292 patients who had received NAC in the same institution between January 2010 and December 2012 was used for the validation set. Among these 292 patients, 121 patients with low-grade luminal breast cancer were retrospectively evaluated. Results In the development set, the median observation period was 67.9 months. Recurrence was observed in 31 patients, and 16 deaths were related to breast cancer. There were statistically significant differences in both the disease-free survival (DFS) and overall survival (OS) rates between patterns of tumor shrinkage (P breast cancer. DFS rate was significantly longer in patients with the CS pattern (72.8 months; 95% confidence interval [CI]: 69.9, 75.6 months) than in those with the non-CS pattern (56.0 months; 95% CI: 49.1, 62.9 months; P ≤ .001). The CS pattern was associated with an excellent prognosis (median OS, 80.6 months; 95% CI: 79.3, 81.8 months vs 65.0 months; 95% CI: 60.1, 69.8 months; P = .004). Multivariate analysis demonstrated that the CS pattern had the only significant independent association with DFS (P = .007) and OS (P = .037) rates. Conclusion

Tumor hypoxia, p53, and prognosis in cervical cancers

International Nuclear Information System (INIS)

Haensgen, Gabriele; Krause, Ulf; Becker, Axel; Stadler, Peter; Lautenschlaeger, Christine; Wohlrab, Wolfgang; Rath, Friedrich W.; Molls, Michael; Dunst, Juergen

2001-01-01

Background: The p53 protein is involved in the regulation of initiation of apoptosis. In vitro, p53-deficient cells do not respond to hypoxia with apoptosis as do p53-normal cells, and this may lead to a relative growth advantage of cells without a functioning p53 under hypoxia. On the basis of this hypothesis, a selection of cells with a functionally inactive p53 may occur in hypoxic tumors. The development of uterine cervical carcinomas is closely associated with infections of human papilloma viruses, which may cause a degradation of the tumor suppressor gene p53, resulting in a restriction of apoptosis. Thus, cervical cancers have often a functionally inactive p53. The purpose of our clinical study was therefore to investigate the association between p53, hypoxia, and prognosis in cervical cancers in which the oxygenation status can be determined by clinical methods. Material and Methods: Seventy patients with locally advanced squamous cell cervical cancer Stages IIB (n=14), IIIB (n=49), and IVA (n=7) were investigated in the period from 1996 through 1999. All were treated with definitive radiotherapy with curative intent by a combination of external radiotherapy plus high-dose-rate afterloading. Before therapy, tumor oxygenation was measured with a needle probe polarographically using the Eppendorf histograph. Hypoxic tumors were defined as those with pO 2 measurements below 5 mm Hg (HF5). Pretreatment biopsies were taken and analyzed immunohistologically for p53 protein expression with the DO-7 antibody. The DNA index was measured by flow cytometry. The statistical data analysis was done with SPSS 9.0 for Windows. Results: The 3-year overall survival was 55% for the whole group of patients. Clinical prognostic factors in a multivariate analysis were pretreatment hemoglobin level (3-year survival 62% for patients with a pretreatment hemoglobin ≥11 g/dl vs. 27% for hemoglobin <11 g/dl, p=0.006) and FIGO stage (Stage IIB: 65%; Stage IIIB: 60%; Stage IVA: 29%, p

Transcription Factor EB Expression in Early Breast Cancer Relates to Lysosomal/Autophagosomal Markers and Prognosis.

Science.gov (United States)

Giatromanolaki, Alexandra; Sivridis, Efthimios; Kalamida, Dimitra; Koukourakis, Michael I

2017-06-01

Disrupting the autophagic balance to trigger autophagic death may open new strategies for cancer therapy. Transcription factor EB (TFEB) is a master regulator of lysosomal biogenesis and may play a role in cancer biology and clinical behavior. The expression of TFEB and the lysosomal cancer cell content (expression of lysosomal associated membrane protein 2a [LAMP2a] and cathepsin D) was studied in a series of 100 T1-stage breast carcinomas. Expression patterns were correlated with autophagy/hypoxia-related proteins, angiogenesis, and clinical outcome. The effect of hypoxic/acidic conditions on TFEB kinetics was studied in the MCF-7 cancer cell line. Overexpression of TFEB in cancer cell cytoplasm and the perinuclear/nuclear area was noted in 23 (23%) of 100 cases. High LAMP2a and cathepsin D expression was noted in 30 (30%) of 100 and 28 (28%) of 100 cases, respectively. TFEB expression was directly linked with LAMP2a (P factor 2-alpha (HIF-2α) (P = .01, r = 0.25) expression and inversely with progesterone receptor (P = .01, r = 0.22). High vascular density was directly linked with LAMP2a (P = .05, r = 0.18) and cathepsin D (P = .005, r = 0.28). In Kaplan-Meier survival analysis, TFEB and cathepsin D expression were related to an ominous prognosis (P = .001 and P = .03, respectively). In multivariate analysis, TFEB expression sustained its independent prognostic significance (P = .05, hazard ratio 2.1). In in vitro experiments, acidity triggered overexpression of TFEB and nuclear translocation. Intense TFEB expression and lysosomal biogenesis, evident in one fourth of early breast carcinomas, define poor prognosis. Tumor acidity is among the microenvironmental conditions that trigger TFEB overactivity. TFEB is a sound target for the development of lysosomal targeting therapies. Copyright © 2016 Elsevier Inc. All rights reserved.

Understanding Cancer Prognosis

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Understanding Cancer Prognosis

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Targeted therapies with companion diagnostics in the management of breast cancer: current perspectives.

Science.gov (United States)

Myers, Meagan B

2016-01-01

Breast cancer is a multifaceted disease exhibiting both intertumoral and intratumoral heterogeneity as well as variable disease course. Over 2 decades of research has advanced the understanding of the molecular substructure of breast cancer, directing the development of new therapeutic strategies against these actionable targets. In vitro diagnostics, and specifically companion diagnostics, have been integral in the successful development and implementation of these targeted therapies, such as those directed against the human epidermal growth factor receptor 2. Lately, there has been a surge in the development, commercialization, and marketing of diagnostic assays to assist in breast cancer patient care. More recently, multigene signature assays, such as Oncotype DX, MammaPrint, and Prosigna, have been integrated in the clinical setting in order to tailor decisions on adjuvant endocrine and chemotherapy treatment. This review provides an overview of the current state of breast cancer management and the use of companion diagnostics to direct personalized approaches in the treatment of breast cancer.

Value of neutrophil-to-lymphocyte ratio for predicting lung cancer prognosis: A meta-analysis of 7,219 patients.

Science.gov (United States)

Yu, Yu; Qian, Lei; Cui, Jiuwei

2017-09-01

Current evidence suggests that the neutrophil-to-lymphocyte ratio (NLR) may be a biomarker for poor prognosis in lung cancer, although this association remains controversial. Therefore, a meta-analysis was performed to evaluate the association between NLR and lung cancer outcome. A systematic literature search was performed through the PubMed, Embase and Cochrane Library databases (until July 30, 2016), to identify studies evaluating the association between NLR and overall survival (OS) and/or progression-free survival (PFS) among patients with lung cancer. Based on the results of this search, data from 18 studies involving 7,219 patients with lung cancer were evaluated. The pooled hazard ratio (HR) suggested that elevated pretreatment NLR predicted poor OS [HR=1.46, 95% confidence interval (CI): 1.30-1.64] and poor PFS (HR=1.42, 95% CI: 1.15-1.75) among patients with lung cancer. Subgroup analysis revealed that the prognostic value of NLR for predicting poor OS increased among patients who underwent surgery (HR=1.50, 95% CI: 1.21-1.84) or patients with early-stage disease (HR=1.64, 95% CI: 1.37-1.97). An NLR cut-off value of ≥4 significantly predicted poor OS (HR=1.56, 95% CI: 1.31-1.85) and PFS (HR=1.54, 95% CI: 1.13-1.82), particularly in the cases of small-cell lung cancer. Thus, the results of the present meta-analysis suggested that an elevated pretreatment NLR (e.g., ≥4) may be considered as a biomarker for poor prognosis in patients with lung cancer.

Distinct Clinicopathological Features and Prognosis of Helicobacter pylori Negative Gastric Cancer.

Directory of Open Access Journals (Sweden)

Kun-Feng Tsai

Full Text Available Whether the characteristics and prognosis of gastric cancer (GC are different in patients with and without Helicobacter pylori (HP remains controversial. The definitions of HP status in patients with atrophic gastritis but negative tests for HP are heterogeneous. We aimed to assess the impact of HP on the prognosis of GC using different definitions.From 1998 Nov to 2011 Jul, five hundred and sixty-seven consecutive patients with GC were included. HP status was determined by serology and histology. Patients with any positive test were defined as HP infection. Patients without HP infection whose serum pepsinogen (PG I <70 ng/dl and PG I/II ratio < 3.0 were defined as atrophic gastritis and they were categorized into model 1: HP positive; model 2: HP negative; and model 3: exclusion of these patients.We found four characteristics of HP negative GC in comparison to HP positive GC: (1 higher proportion of the proximal tumor location (24.0%, P = 0.004, (2 more diffuse histologic type (56.1%, p = 0.008, (3 younger disease onset (58.02 years, p = 0.008 and (4 more stage IV disease (40.6%, p = 0.03. Patients with negative HP had worse overall survival (24.0% vs. 35.8%, p = 0.035. In Cox regression models, the negative HP status is an independent poor prognostic factor (HR: 1.34, CI:1.04-1.71, p = 0.019 in model 1, especially in stage I, II and III patients (HR: 1.62; CI:1.05-2.51,p = 0.026.We found the distinct characteristics of HP negative GC. The prognosis of HP negative GC was poor.

Advanced Electrochemical Platforms for Cancer Diagnostics based on Nanoswitchable DNA Architectures

DEFF Research Database (Denmark)

Ferapontova, Elena

Cancer is an important chronic disease and a serious public health problem. One in three can be expected to be diagnosed with cancer in our lifetimes and one in four will die of it. One of the most important factors in the fight against cancer is its early and reliable detection and greater...... availability of screening tests, since any cancer is easier to treat when treatment is started early. In this context, genosensor nanotechnologies have become increasingly important for prognosis and diagnosis of cancer, post-cytotoxic therapy analysis, and anticancer drug development. Assays for mutated genes...... and specific proteins, shown to be indicators of cancer development, are of high priority. Great efforts are made to develop new nanobiotechnologies to improve the selectivity and sensitivity of analysis. Among them, combination of electrochemistry and DNA nanotechnology allowed the development of extremely...

Increased expression of argininosuccinate synthetase protein predicts poor prognosis in human gastric cancer

Science.gov (United States)

SHAN, YAN-SHEN; HSU, HUI-PING; LAI, MING-DERG; YEN, MENG-CHI; LUO, YI-PEY; CHEN, YI-LING

2015-01-01

Aberrant expression of argininosuccinate synthetase (ASS1, also known as ASS) has been found in cancer cells and is involved in the carcinogenesis of gastric cancer. The aim of the present study was to investigate the level of ASS expression in human gastric cancer and to determine the possible correlations between ASS expression and clinicopathological findings. Immunohistochemistry was performed on paraffin-embedded tissues to determine whether ASS was expressed in 11 of 11 specimens from patients with gastric cancer. The protein was localized primarily to the cytoplasm of cancer cells and normal epithelium. In the Oncomine cancer microarray database, expression of the ASS gene was significantly increased in gastric cancer tissues. To investigate the clinicopathological and prognostic roles of ASS expression, we performed western blot analysis of 35 matched specimens of gastric adenocarcinomas and normal tissue obtained from patients treated at the National Cheng Kung University Hospital. The ratio of relative ASS expression (expressed as the ASS/β-actin ratio) in tumor tissues to that in normal tissues was correlated with large tumor size (P=0.007) and with the tumor, node, metastasis (TNM) stage of the American Joint Committee on Cancer staging system (P=0.031). Patients whose cancer had increased the relative expression of ASS were positive for perineural invasion and had poor recurrence-free survival. In summary, ASS expression in gastric cancer was associated with a poor prognosis. Further study of mechanisms to silence the ASS gene or decrease the enzymatic activity of ASS protein has the potential to provide new treatments for patients with gastric cancer. PMID:25333458

Terminology and details of the diagnostic process for testis cancer.

LENUS (Irish Health Repository)

Connolly, Stephen S

2011-03-01

We examined the process and causes of diagnostic delay, defined as the interval from symptom onset to diagnosis, for testis (germ cell) cancer and the change with time. Diagnostic delay influences disease burden and may be subdivided into symptomatic interval, defined as symptom onset to first presentation, and diagnostic interval, defined as first presentation to diagnosis.

Serum and urine metabolomics study reveals a distinct diagnostic model for cancer cachexia

Science.gov (United States)

Yang, Quan‐Jun; Zhao, Jiang‐Rong; Hao, Juan; Li, Bin; Huo, Yan; Han, Yong‐Long; Wan, Li‐Li; Li, Jie; Huang, Jinlu; Lu, Jin

2017-01-01

Abstract Background Cachexia is a multifactorial metabolic syndrome with high morbidity and mortality in patients with advanced cancer. The diagnosis of cancer cachexia depends on objective measures of clinical symptoms and a history of weight loss, which lag behind disease progression and have limited utility for the early diagnosis of cancer cachexia. In this study, we performed a nuclear magnetic resonance‐based metabolomics analysis to reveal the metabolic profile of cancer cachexia and establish a diagnostic model. Methods Eighty‐four cancer cachexia patients, 33 pre‐cachectic patients, 105 weight‐stable cancer patients, and 74 healthy controls were included in the training and validation sets. Comparative analysis was used to elucidate the distinct metabolites of cancer cachexia, while metabolic pathway analysis was employed to elucidate reprogramming pathways. Random forest, logistic regression, and receiver operating characteristic analyses were used to select and validate the biomarker metabolites and establish a diagnostic model. Results Forty‐six cancer cachexia patients, 22 pre‐cachectic patients, 68 weight‐stable cancer patients, and 48 healthy controls were included in the training set, and 38 cancer cachexia patients, 11 pre‐cachectic patients, 37 weight‐stable cancer patients, and 26 healthy controls were included in the validation set. All four groups were age‐matched and sex‐matched in the training set. Metabolomics analysis showed a clear separation of the four groups. Overall, 45 metabolites and 18 metabolic pathways were associated with cancer cachexia. Using random forest analysis, 15 of these metabolites were identified as highly discriminating between disease states. Logistic regression and receiver operating characteristic analyses were used to create a distinct diagnostic model with an area under the curve of 0.991 based on three metabolites. The diagnostic equation was Logit(P) = −400.53 – 481.88�

Incidence, therapy and prognosis of colorectal cancer in different age groups. A population-based cohort study of the Rostock Cancer Registry

International Nuclear Information System (INIS)

Fietkau, R.; Zettl, H.; Kloecking, S.; Kundt, G.

2004-01-01

Purpose: Determination of frequency, treatment modalities used and prognoses of colorectal cancer in a population-specific analysis in relation to age. Material and methods: In 1999 and 2000, 644/6,016 patients were documented as having colorectal carcinomas in the Cancer Registry of Rostock. 39 patients were excluded (16 cases: 'in situ' carcinomas; 23 cases: insufficient data). Three age groups were formed: <60 years, 60-74 years; ≥75 years. Results: The relative percentage of colorectal cancer increases with advanced age (<60 years 7%; 60-74 years 12%, ≥75 years 15%; p<0.001). In older patients with stage III carcinomas, adjuvant treatment was done less frequently in accordance with the treatment recommendations (<60 years 83-89%; 60-74 years 67-77%; ≥75 years 29-36% according to stage and tumor localization); in stage IV, the use of chemotherapy was reduced (<60 years 87.5-100%; 60-74 years 38-47%; ≥75 years 33-37%). In the univariate analysis, age ≥75 years (4-year survival rates: <60 years 68±4.1%; 60-74 years 58±2.8%; ≥75 years 38±3.7%), UICC stage and surgical treatment had a significant effect on prognosis. Adjuvant treatment had no significant effect on the whole population but on patients with UICC stage III and IV. In the multivariate analysis, however, the only independent prognostic parameters were age ≥75 years (p=0.001), performance of chemotherapy (colon cancer) or radiochemotherapy (rectal cancer; p=0.004-0.001), and tumor stage (p=0.045-0.001). Sex (p=0.063) and age between 60 and 74 years (p=0.067) had a borderline influence. Conclusion: With increasing age, there is a departure in daily practice from the treatment recommendations. The patient's prognosis is dependent upon age (especially ≥75 years), tumor stage, and therapy. (orig.)

Incidence, therapy and prognosis of colorectal cancer in different age groups. A population-based cohort study of the Rostock Cancer Registry

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Fietkau, R.; Zettl, H.; Kloecking, S. [University of Rostock (Germany). Department of Radiotherapy; Kundt, G. [University of Rostock (Germany). Institute of Medical Informatics and Biometry

2004-08-01

Purpose: Determination of frequency, treatment modalities used and prognoses of colorectal cancer in a population-specific analysis in relation to age. Material and methods: In 1999 and 2000, 644/6,016 patients were documented as having colorectal carcinomas in the Cancer Registry of Rostock. 39 patients were excluded (16 cases: 'in situ' carcinomas; 23 cases: insufficient data). Three age groups were formed: <60 years, 60-74 years; {>=}75 years. Results: The relative percentage of colorectal cancer increases with advanced age (<60 years 7%; 60-74 years 12%, {>=}75 years 15%; p<0.001). In older patients with stage III carcinomas, adjuvant treatment was done less frequently in accordance with the treatment recommendations (<60 years 83-89%; 60-74 years 67-77%; {>=}75 years 29-36% according to stage and tumor localization); in stage IV, the use of chemotherapy was reduced (<60 years 87.5-100%; 60-74 years 38-47%; {>=}75 years 33-37%). In the univariate analysis, age {>=}75 years (4-year survival rates: <60 years 68{+-}4.1%; 60-74 years 58{+-}2.8%; {>=}75 years 38{+-}3.7%), UICC stage and surgical treatment had a significant effect on prognosis. Adjuvant treatment had no significant effect on the whole population but on patients with UICC stage III and IV. In the multivariate analysis, however, the only independent prognostic parameters were age {>=}75 years (p=0.001), performance of chemotherapy (colon cancer) or radiochemotherapy (rectal cancer; p=0.004-0.001), and tumor stage (p=0.045-0.001). Sex (p=0.063) and age between 60 and 74 years (p=0.067) had a borderline influence. Conclusion: With increasing age, there is a departure in daily practice from the treatment recommendations. The patient's prognosis is dependent upon age (especially {>=}75 years), tumor stage, and therapy. (orig.)

Constructive Technology Assessment (CTA) as a tool in coverage with evidence development: the case of the 70-gene prognosis signature for breast cancer diagnostics.

Science.gov (United States)

Retèl, Valesca P; Bueno-de-Mesquita, Jolien M; Hummel, Marjan J M; van de Vijver, Marc J; Douma, Kirsten F L; Karsenberg, Kim; van Dam, Frits S A M; van Krimpen, Cees; Bellot, Frank E; Roumen, Rudi M H; Linn, Sabine C; van Harten, Wim H

2009-01-01

Constructive Technology Assessment (CTA) is a means to guide early implementation of new developments in society, and can be used as an evaluation tool for Coverage with Evidence Development (CED). We used CTA for the introduction of a new diagnostic test in the Netherlands, the 70-gene prognosis signature (MammaPrint) for node-negative breast cancer patients. Studied aspects were (organizational) efficiency, patient-centeredness and diffusion scenarios. Pre-post structured surveys were conducted in fifteen community hospitals concerning changes in logistics and teamwork as a consequence of the introduction of the 70-gene signature. Patient-centeredness was measured by questionnaires and interviews regarding knowledge and psychological impact of the test. Diffusion scenarios, which are commonly applied in industry to anticipate on future development and diffusion of their products, have been applied in this study. Median implementation-time of the 70-gene signature was 1.2 months. Most changes were seen in pathology processes and adjuvant treatment decisions. Physicians valued the addition of the 70-gene signature information as beneficial for patient management. Patient-centeredness (n = 77, response 78 percent): patients receiving a concordant high-risk and discordant clinical low/high risk-signature showed significantly more negative emotions with respect to receiving both test-results compared with concordant low-risk and discordant clinical high/low risk-signature patients. The first scenario was written in 2004 before the introduction of the 70-gene signature and identified hypothetical developments that could influence diffusion; especially the "what-if" deviation describing a discussion on validity among physicians proved to be realistic. Differences in speed of implementation and influenced treatment decisions were seen. Impact on patients seems especially related to discordance and its successive communication. In the future, scenario drafting will lead

Understanding Cancer Prognosis

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Understanding Cancer Prognosis

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The prognosis of osteosarcoma occurring as second malignancy of childhood cancers may be favorable: experience of two cancer centers in Japan.

Science.gov (United States)

Yonemoto, Tsukasa; Hosono, Ako; Iwata, Shintaro; Kamoda, Hiroto; Hagiwara, Yoko; Fujiwara, Tomohiro; Kawai, Akira; Ishii, Takeshi

2015-06-01

Osteosarcoma as second malignancy of childhood cancers rarely occurs, and its clinical characteristics are unclear. Patients with osteosarcoma occurring as second malignancy of childhood cancers were retrospectively surveyed. Of 323 patients with osteosarcoma registered in the database, 10 (3.1%) had a past history of childhood cancers. The mean age at the onset of the first childhood cancer was 2.7 years, and the diagnosis of the first childhood cancer was adrenocortical carcinoma, malignant teratoma, ovarian carcinoma, Ewing's sarcoma, and rhabdomyosarcoma in 1 patient each, and retinoblastoma in 5 patients. Osteosarcoma as second malignancy occurred 14.6 years after the first childhood cancer on average. Seven patients were alive and 3 died. In 1 patient, the cause of death was related to a complication of treatment for the first childhood cancer. Except for this patient, 7 (77.8%) of 9 patients survived with no disease (mean follow-up period: 10.9 years). Attention should be paid to complications of treatment for the first childhood cancer in the treatment for osteosarcoma occurring as second malignancy. The prognosis of osteosarcoma as second malignancy of childhood cancers may be more favorable than that of conventional osteosarcoma.

The prognosis was poorer in colorectal cancers that expressed both VEGF and PROK1 (No correlation coefficient between VEGF and PROK1).

Science.gov (United States)

Goi, Takanori; Nakazawa, Toshiyuki; Hirono, Yasuo; Yamaguchi, Akio

2015-10-06

The angiogenic proteins vascular endothelial growth factor (VEGF) and prokineticin1 (PROK1) proteins are considered important in colorectal cancer, the relationship between their simultaneous expression and prognosis was investigated in the present study. VEGF and PROK1 expression in 620 primary human colorectal cancer lesions was confirmed via immunohistochemical staining with anti-VEGF and anti-PROK1 antibodies, and the correlation between the expression of these 2 proteins and recurrence/prognosis were investigated. VEGF protein was expressed in 329 (53.1%) and PROK1 protein was expressed in 223 (36.0%). PROK1 and VEGF were simultaneously expressed in 116 (18.7%) of the 620 cases. The correlation coefficient between VEGF expression and PROK1 expression was r = 0.11, and therefore correlation was not observed. Clinical pathology revealed that substantially lymphnode matastasis, hematogenous metastasis, or TMN advanced-stage IV was significantly more prevalent in cases that expressed both VEGF and PROK1 than in the cases negative for both proteins or those positive for only 1 of the proteins. Also the cases positive for both proteins exhibited the worst recurrence and prognosis. In the Cox proportional hazards model, VEGF and PROK1 expression was an independent prognostic factor. The prognosis was poorer in colorectal cancers that expressed both PROK1 and VEGF relative to the cases that expressed only 1 protein, and the expression of both proteins was found to be an independent prognostic factor.

Multi-omics facilitated variable selection in Cox-regression model for cancer prognosis prediction.

Science.gov (United States)

Liu, Cong; Wang, Xujun; Genchev, Georgi Z; Lu, Hui

2017-07-15

New developments in high-throughput genomic technologies have enabled the measurement of diverse types of omics biomarkers in a cost-efficient and clinically-feasible manner. Developing computational methods and tools for analysis and translation of such genomic data into clinically-relevant information is an ongoing and active area of investigation. For example, several studies have utilized an unsupervised learning framework to cluster patients by integrating omics data. Despite such recent advances, predicting cancer prognosis using integrated omics biomarkers remains a challenge. There is also a shortage of computational tools for predicting cancer prognosis by using supervised learning methods. The current standard approach is to fit a Cox regression model by concatenating the different types of omics data in a linear manner, while penalty could be added for feature selection. A more powerful approach, however, would be to incorporate data by considering relationships among omics datatypes. Here we developed two methods: a SKI-Cox method and a wLASSO-Cox method to incorporate the association among different types of omics data. Both methods fit the Cox proportional hazards model and predict a risk score based on mRNA expression profiles. SKI-Cox borrows the information generated by these additional types of omics data to guide variable selection, while wLASSO-Cox incorporates this information as a penalty factor during model fitting. We show that SKI-Cox and wLASSO-Cox models select more true variables than a LASSO-Cox model in simulation studies. We assess the performance of SKI-Cox and wLASSO-Cox using TCGA glioblastoma multiforme and lung adenocarcinoma data. In each case, mRNA expression, methylation, and copy number variation data are integrated to predict the overall survival time of cancer patients. Our methods achieve better performance in predicting patients' survival in glioblastoma and lung adenocarcinoma. Copyright © 2017. Published by Elsevier

CD147/EMMPRIN overexpression and prognosis in cancer: A systematic review and meta-analysis

OpenAIRE

Xin, Xiaoyan; Zeng, Xianqin; Gu, Huajian; Li, Min; Tan, Huaming; Jin, Zhishan; Hua, Teng; Shi, Rui; Wang, Hongbo

2016-01-01

CD147/EMMPRIN (extracellular matrix metalloproteinase inducer) plays an important role in tumor progression and a number of studies have suggested that it is an indicator of tumor prognosis. This current meta-analysis systematically reevaluated the predictive potential of CD147/EMMPRIN in various cancers. We searched PubMed and Embase databases to screen the literature. Fixed-effect and random-effect meta-analytical techniques were used to correlate CD147 expression with outcome measures. A t...

Understanding Cancer Prognosis

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Full Text Available ... and where it is in your body The stage of the cancer, which refers to the size ... percentage of patients with a specific type and stage of cancer who have not died from their ...

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Full Text Available ... spread. Certain traits of the cancer cells Your age and how healthy you were before cancer How ... free survival. Because statistics are based on large groups of people, they cannot be used to predict ...

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Full Text Available ... cancer-specific survival is based on causes of death listed in medical records. Relative survival This statistic ... does not use information about the cause of death. It is the percentage of cancer patients who ...

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Full Text Available ... Events Scientific Meetings & Lectures Conferences Advisory Board Meetings Social Media Events Cancer Currents Blog All Press Releases ... Events Scientific Meetings & Lectures Conferences Advisory Board Meetings Social Media Cancer Currents Blog About NCI NCI Overview ...

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Full Text Available ... you have cancer, you and your loved ones face many unknowns. Understanding your cancer and knowing what ... make decisions. Some of the decisions you may face include: Which treatment is best for you If ...

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Full Text Available ... Reporting & Auditing Grant Transfer Grant Closeout Contracts & Small Business Training Cancer Training at NCI (Intramural) Funding for ... NCI NCI Overview History Contributing to Cancer Research Leadership Director's Page Deputy Director's Page Previous NCI Directors ...

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Diagnostic and Prognostic MicroRNA Biomarkers for Prostate Cancer in Cell-free Urine

DEFF Research Database (Denmark)

Fredsøe, Jacob Christian; Rasmussen, Anne Karin; Thomsen, Anni Rønfeldt

2017-01-01

Background: Widespread use of prostate-specific antigen (PSA) testing for prostate cancer (PC) detection has led to extensive overdiagnosis and overtreatment. Urine-based microRNA (miRNA) biomarkers could be useful in PC diagnosis and prognosis. Objective: To train and validate urine-based micro......RNA (miRNA) biomarkers that may assist in PC diagnosis and prognosis. Design, setting, and participants: We profiled the expression levels of 92 miRNAs via reverse transcriptase–poymerase chain reaction in cell-free urine samples from 29 patients with benign prostatic hyperplasia (BPH) and 215 patients...... could help in primary diagnosis of PC and guide treatment decisions. Further validation studies are warranted. Patient summary: Using two large patient cohorts, we searched for novel prostate cancer biomarkers in urine. We found two new sets of microRNA biomarkers in urine that could accurately predict...

Prognosis method to predict small-sized breast cancer affected by fibrocystic disease

Directory of Open Access Journals (Sweden)

S. A. Velichko

2017-01-01

Full Text Available The purpose of the study is to develop an effective radiological symptom-complex of small-sized breast cancer affected by fibrocystic breast disease by using multivariate statistical methods.Materials and methods. Radiological findings of small-sized breast cancer affected by fibrocystic mastopathy were analyzed in 100 patients with histologically verified diagnosis.Results. It was revealed that the conventional approach to the analysis of mammograms based on the detection of the primary, secondary and indirect mammographic signs of small-sized breast cancer is not effective enough - the sensitivity of mammography is only 62%. Fibrocystic disease and moderate-to-severe sclerosing adenosis make small-sized breast cancer hard to visualize by mammography. The detailed analysis of mammograms allowed us to identify the additional manifestations of small-sized breast cancer affected by mastopathy. The computer program allowing us to evaluate the risk of small-size breast cancer and the diagnostic algorithm for detecting small size breast cancer with sensitivity of 92% were developed. 

Understanding Cancer Prognosis

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Full Text Available ... that there are no signs of cancer at this time. Because of the chance that cancer can come back, your doctor will monitor you for many years and do tests to look for signs of ...

Center of Cancer Nanotechnology Excellence for Translational Diagnostics

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The Center of Cancer Nanotechnology Excellence for Translational Diagnostics, which forms the third cycle CCNE Program at Stanford University, is a consortium that has three highly synchronized Projects and three Cores.

Prognosis after surgical treatment for pancreatic cancer in patients aged 80 years or older: a multicenter study.

Science.gov (United States)

Sho, Masayuki; Murakami, Yoshiaki; Kawai, Manabu; Motoi, Fuyuhiko; Satoi, Sohei; Matsumoto, Ippei; Honda, Goro; Uemura, Kenichiro; Yanagimoto, Hiroaki; Kurata, Masanao; Akahori, Takahiro; Kinoshita, Shoichi; Nagai, Minako; Nishiwada, Satoshi; Fukumoto, Takumi; Unno, Michiaki; Yamaue, Hiroki; Nakajima, Yoshiyuki

2016-03-01

The optimal therapeutic strategy for very elderly pancreatic cancer patients remains to be determined. The aim of this study was to clarify the role of pancreatic resection in patients 80 years of age or older. A retrospective multicenter analysis of 1401 patients who had undergone pancreatic resection for pancreatic cancer was performed. The patients aged ≥ 80 years (n = 99) were compared with a control group <80 years of age (n = 1302). There were no significant differences in the postoperative complications and mortality between the two groups. However, the prognosis of octogenarians was poorer than that of younger patients for both resectable and borderline resectable tumors. Importantly, there were few long-term survivors in the elderly group, especially among those with borderline resectable pancreatic cancer. A multivariate analysis of the prognostic factors in the very elderly patients indicated that the completion of adjuvant chemotherapy was the only significant factor. In addition, preoperative albumin level was the only independent risk factor for a failure to complete adjuvant chemotherapy. This study demonstrates that the postoperative prognosis in octogenarian patients was not good as that in younger patients possibly due to less frequent completion of adjuvant chemotherapy. © 2016 Japanese Society of Hepato-Biliary-Pancreatic Surgery.

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Full Text Available ... most cases, cancer-specific survival is based on causes of death listed in medical records. Relative survival This statistic ... survival that does not use information about the cause of death. It is the percentage of cancer patients who ...

Understanding Cancer Prognosis

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Full Text Available ... from their cancer during a certain period of time after diagnosis. The period of time may be 1 year, 2 years, 5 years, etc., with 5 years being the time period most often used. Cancer-specific survival is ...

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OPTIMIZATION OF DIAGNOSTIC IMAGING IN BREAST CANCER

Directory of Open Access Journals (Sweden)

S. A. Velichko

2015-01-01

Full Text Available The paper presents the results of breast imaging for 47200 women. Breast cancer was detected in 862 (1.9% patients, fibroadenoma in 1267 (2.7% patients and isolated breast cysts in 1162 (2.4% patients. Different types of fibrocystic breast disease (adenosis, diffuse fibrocystic changes, local fibrosis and others were observed in 60.1% of women. Problems of breast cancer visualization during mammography, characterized by the appearance of fibrocystic mastopathy (sclerosing adenosis, fibrous bands along the ducts have been analyzed. Data on the development of diagnostic algorithms including the modern techniques for ultrasound and interventional radiology aimed at detecting early breast cancer have been presented.  

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Peritumoral vascular invasion and NHERF1 expression define an immunophenotype of grade 2 invasive breast cancer associated with poor prognosis

International Nuclear Information System (INIS)

Malfettone, Andrea; Saponaro, Concetta; Paradiso, Angelo; Simone, Giovanni; Mangia, Annita

2012-01-01

Traditional determinants proven to be of prognostic importance in breast cancer include the TNM staging, histological grade, proliferative activity, hormone receptor status and HER2 overexpression. One of the limitations of the histological grading scheme is that a high percentage of breast cancers are still classified as grade 2, a category with ambiguous clinical significance. The aim of this study was to best characterize tumors scored as grade 2. We investigated traditional prognostic factors and a panel of tumor markers not used in routine diagnosis, such as NHERF1, VEGFR1, HIF-1α and TWIST1, in 187 primary invasive breast cancers by immunohistochemistry, stratifying patients into good and poor prognostic groups by the Nottingham Prognostic Index. Grade 2 subgroup analysis showed that the PVI (p = 0.023) and the loss of membranous NHERF1 (p = 0.028) were adverse prognostic factors. Relevantly, 72% of grade 2 tumors were associated to PVI+/membranous NHERF1- expression phenotype, characterizing an adverse prognosis (p = 0.000). Multivariate logistic regression analysis in the whole series revealed poor prognosis correlated with PVI and MIB1 (p = 0.000 and p = 0.001, respectively). Furthermore, in the whole series of breast cancers we found cytoplasmic NHERF1 expression positively correlated to VEGFR1 (r = 0.382, p = 0.000), and in VEGFR1-overexpressing tumors the oncogenic receptor co-localized with NHERF1 at cytoplasmic level. The PVI+/membranous NHERF1- expression phenotype identifies a category of grade 2 tumors with the worst prognosis, including patient subgroup with a family history of breast cancer. These observations support the idea of the PVI+/membranous NHERF1- expression immunophenotype as a useful marker, which could improve the accuracy of predicting clinical outcome in grade 2 tumors

Children's exposure to diagnostic medical radiation and cancer risk: epidemiologic and dosimetric considerations

International Nuclear Information System (INIS)

Linet, Martha S.; Rajaraman, Preetha; Kim, Kwang pyo

2009-01-01

While the etiology of most childhood cancers is largely unknown, epidemiologic studies have consistently found an association between exposure to medical radiation during pregnancy and risk of childhood cancer in offspring. The relation between early life diagnostic radiation exposure and occurrence of pediatric cancer risks is less clear. This review summarizes current and historical estimated doses for common diagnostic radiologic procedures as well as the epidemiologic literature on the role of maternal prenatal, children's postnatal and parental preconception diagnostic radiologic procedures on subsequent risk of childhood malignancies. Risk estimates are presented according to factors such as the year of birth of the child, trimester and medical indication for the procedure, and the number of films taken. The paper also discusses limitations of the methods employed in epidemiologic studies to assess pediatric cancer risks, the effects on clinical practice of the results reported from the epidemiologic studies, and clinical and public health policy implications of the findings. Gaps in understanding and additional research needs are identified. Important research priorities include nationwide surveys to estimate fetal and childhood radiation doses from common diagnostic procedures, and epidemiologic studies to quantify pediatric and lifetime cancer risks from prenatal and early childhood exposures to diagnostic radiography, CT, and fluoroscopically guided procedures. (orig.)

Discovery of dachshund 2 protein as a novel biomarker of poor prognosis in epithelial ovarian cancer

Directory of Open Access Journals (Sweden)

Nodin Björn

2012-01-01

Full Text Available Abstract Background The Dachshund homolog 2 (DACH2 gene has been implicated in development of the female genital tract in mouse models and premature ovarian failure syndrome, but to date, its expression in human normal and cancerous tissue remains unexplored. Using the Human Protein Atlas as a tool for cancer biomarker discovery, DACH2 protein was found to be differentially expressed in epithelial ovarian cancer (EOC. Here, the expression and prognostic significance of DACH2 was further evaluated in ovarian cancer cell lines and human EOC samples. Methods Immunohistochemical expression of DACH2 was examined in tissue microarrays with 143 incident EOC cases from two prospective, population-based cohorts, including a subset of benign-appearing fallopian tubes (n = 32. A nuclear score (NS, i.e. multiplier of staining fraction and intensity, was calculated. For survival analyses, cases were dichotomized into low (NS 3 using classification and regression tree analysis. Kaplan Meier analysis and Cox proportional hazards modelling were used to assess the impact of DACH2 expression on survival. DACH2 expression was analysed in the cisplatin sensitive ovarian cancer cell line A2780 and its cisplatin resistant derivative A2780-Cp70. The specificity of the DACH2 antibody was tested using siRNA-mediated silencing of DACH2 in A2780-Cp70 cells. Results DACH2 expression was considerably higher in the cisplatin resistant A2780-Cp70 cells compared to the cisplatin-sensitive A2780 cells. While present in all sampled fallopian tubes, DACH2 expression ranged from negative to strong in EOC. In EOC, DACH2 expression correlated with several proteins involved in DNA integrity and repair, and proliferation. DACH2 expression was significantly higher in carcinoma of the serous subtype compared to non-serous carcinoma. In the full cohort, high DACH2 expression was significantly associated with poor prognosis in univariable analysis, and in carcinoma of the serous subtype

Tumor markers for diagnosis, monitoring of recurrence and prognosis in patients with upper gastrointestinal tract cancer.

Science.gov (United States)

Jing, Jie-Xian; Wang, Yan; Xu, Xiao-Qin; Sun, Ting; Tian, Bao-Guo; Du, Li-Li; Zhao, Xian-Wen; Han, Cun-Zhi

2014-01-01

To evaluate the value of combined detection of serum CEA, CA19-9, CA24-2, AFP, CA72-4, SCC, TPA and TPS for the clinical diagnosis of upper gastrointestinal tract (GIT) cancer and to analyze the efficacy of these tumor markers (TMs) in evaluating curative effects and prognosis. A total of 573 patients with upper GIT cancer between January 2004 and December 2007 were enrolled in this study. Serum levels of CEA, CA19-9, CA24-2, AFP, CA72-4, SCC, TPA and TPS were examined preoperatively and every 3 months postoperatively by ELISA. The sensitivity of CEA, CA19-9, CA24-2, AFP, CA72-4, SCC, TPA and TPS were 26.8%, 36.2%, 42.9%, 2.84%, 25.4%, 34.6%, 34.2% and 30.9%, respectively. The combined detection of CEA+CA199+CA242+CA724 had higher sensitivity and specificity in gastric cancer (GC) and cardiac cancer, while CEA+CA199+CA242+SCC was the best combination of diagnosis for esophageal cancer (EC). Elevation of preoperative CEA, CA19-9 and CA24-2, SCC and CA72-4 was significantly associated with pathological types (pCEA, CA19-9, CA24-2, CA72-4 and SCC decreased obviously 3 months after operations. When metastasis and recurrence occurred, the levels of TMs significantly increased. On multivariate analysis, high preoperative CA72-4, CA24-2 and SCC served as prognostic factors for cardiac carcinoma, GC and EC, respectively. combined detection of CEA+CA199+CA242+SCC proved to be the most economic and practical strategy in diagnosis of EC; CEA+CA199+CA242+CA724 proved to be a better evaluation indicator for cardiac cancer and GC. CEA and CA19-9, CA24-2, CA72-4 and SCC, examined postoperatively during follow-up, were useful to find early tumor recurrence and metastasis, and evaluate prognosis. AFP, TPA and TPS have no significant value in diagnosis of patients with upper GIT cancer.

Diagnostic interval and mortality in colorectal cancer

DEFF Research Database (Denmark)

Tørring, Marie Louise; Frydenberg, Morten; Hamilton, William

2012-01-01

Objective To test the theory of a U-shaped association between time from the first presentation of symptoms in primary care to the diagnosis (the diagnostic interval) and mortality after diagnosis of colorectal cancer (CRC). Study Design and Setting Three population-based studies in Denmark...

Genetic alterations in fatty acid transport and metabolism genes are associated with metastatic progression and poor prognosis of human cancers.

Science.gov (United States)

Nath, Aritro; Chan, Christina

2016-01-04

Reprogramming of cellular metabolism is a hallmark feature of cancer cells. While a distinct set of processes drive metastasis when compared to tumorigenesis, it is yet unclear if genetic alterations in metabolic pathways are associated with metastatic progression of human cancers. Here, we analyzed the mutation, copy number variation and gene expression patterns of a literature-derived model of metabolic genes associated with glycolysis (Warburg effect), fatty acid metabolism (lipogenesis, oxidation, lipolysis, esterification) and fatty acid uptake in >9000 primary or metastatic tumor samples from the multi-cancer TCGA datasets. Our association analysis revealed a uniform pattern of Warburg effect mutations influencing prognosis across all tumor types, while copy number alterations in the electron transport chain gene SCO2, fatty acid uptake (CAV1, CD36) and lipogenesis (PPARA, PPARD, MLXIPL) genes were enriched in metastatic tumors. Using gene expression profiles, we established a gene-signature (CAV1, CD36, MLXIPL, CPT1C, CYP2E1) that strongly associated with epithelial-mesenchymal program across multiple cancers. Moreover, stratification of samples based on the copy number or expression profiles of the genes identified in our analysis revealed a significant effect on patient survival rates, thus confirming prominent roles of fatty acid uptake and metabolism in metastatic progression and poor prognosis of human cancers.

[Role of contemporary pathological diagnostics in the personalized treatment of cancer].