Exploring Gene Expression Signatures for Predicting Disease Free Survival after Resection of Colorectal Cancer Liver Metastases
| العنوان: | Exploring Gene Expression Signatures for Predicting Disease Free Survival after Resection of Colorectal Cancer Liver Metastases |
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| المؤلفون: | Maarten W. Nijkamp, Emile E. Voest, Richard van Hillegersberg, Frank C. P. Holstege, Nikol Snoeren, Mariel O. Brok, Sander R. van Hooff, Paul J. van Diest, Inne H.M. Borel Rinkes, René Adam, Marian J. A. Groot Koerkamp, Catherine Guettier, Dik van Leenen |
| المصدر: | PLoS ONE PLoS ONE, Vol 7, Iss 11, p e49442 (2012) |
| بيانات النشر: | Public Library of Science, 2012. |
| سنة النشر: | 2012 |
| مصطلحات موضوعية: | Oncology, Male, Colorectal cancer, Microarrays, lcsh:Medicine, Bioinformatics, Transcriptomes, Cohort Studies, Recurrence, Gene expression, lcsh:Science, Oligonucleotide Array Sequence Analysis, Multidisciplinary, Liver Neoplasms, Colon Adenocarcinoma, Nucleic Acid Hybridization, Genomics, Middle Aged, Gene Expression Regulation, Neoplastic, Surgical Oncology, Treatment Outcome, Area Under Curve, Cohort, Medicine, Female, Colorectal Neoplasms, Cohort study, Research Article, Risk, medicine.medical_specialty, Disease-Free Survival, Genome Analysis Tools, Internal medicine, Gastrointestinal Tumors, medicine, Humans, Distributed File System, Biology, Aged, Proportional Hazards Models, business.industry, Proportional hazards model, Gene Expression Profiling, lcsh:R, Computational Biology, Cancers and Neoplasms, Gene signature, medicine.disease, Gene expression profiling, lcsh:Q, Surgery, business, Genome Expression Analysis |
| الوصف: | Background and objectives This study was designed to identify and validate gene signatures that can predict disease free survival (DFS) in patients undergoing a radical resection for their colorectal liver metastases (CRLM). Methods Tumor gene expression profiles were collected from 119 patients undergoing surgery for their CRLM in the Paul Brousse Hospital (France) and the University Medical Center Utrecht (The Netherlands). Patients were divided into high and low risk groups. A randomly selected training set was used to find predictive gene signatures. The ability of these gene signatures to predict DFS was tested in an independent validation set comprising the remaining patients. Furthermore, 5 known clinical risk scores were tested in our complete patient cohort. Result No gene signature was found that significantly predicted DFS in the validation set. In contrast, three out of five clinical risk scores were able to predict DFS in our patient cohort. Conclusions No gene signature was found that could predict DFS in patients undergoing CRLM resection. Three out of five clinical risk scores were able to predict DFS in our patient cohort. These results emphasize the need for validating risk scores in independent patient groups and suggest improved designs for future studies. |
| اللغة: | English |
| تدمد: | 1932-6203 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2798d52ef3ea9ffe16a225c97525f32Test http://europepmc.org/articles/PMC3504021Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....b2798d52ef3ea9ffe16a225c97525f32 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19326203 |
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