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Exploring Gene Expression Signatures for Predicting Disease Free Survival after Resection of Colorectal Cancer Liver Metastases
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 u...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3504021/ https://www.ncbi.nlm.nih.gov/pubmed/23185333 http://dx.doi.org/10.1371/journal.pone.0049442 |
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author | Snoeren, Nikol van Hooff, Sander R. Adam, Rene van Hillegersberg, Richard Voest, Emile E. Guettier, Catherine van Diest, Paul J. Nijkamp, Maarten W. Brok, Mariel O. van Leenen, Dik Groot Koerkamp, Marian J. A. Holstege, Frank C. P. Borel Rinkes, Inne H. M. |
author_facet | Snoeren, Nikol van Hooff, Sander R. Adam, Rene van Hillegersberg, Richard Voest, Emile E. Guettier, Catherine van Diest, Paul J. Nijkamp, Maarten W. Brok, Mariel O. van Leenen, Dik Groot Koerkamp, Marian J. A. Holstege, Frank C. P. Borel Rinkes, Inne H. M. |
author_sort | Snoeren, Nikol |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3504021 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35040212012-11-26 Exploring Gene Expression Signatures for Predicting Disease Free Survival after Resection of Colorectal Cancer Liver Metastases Snoeren, Nikol van Hooff, Sander R. Adam, Rene van Hillegersberg, Richard Voest, Emile E. Guettier, Catherine van Diest, Paul J. Nijkamp, Maarten W. Brok, Mariel O. van Leenen, Dik Groot Koerkamp, Marian J. A. Holstege, Frank C. P. Borel Rinkes, Inne H. M. PLoS One Research Article 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. Public Library of Science 2012-11-21 /pmc/articles/PMC3504021/ /pubmed/23185333 http://dx.doi.org/10.1371/journal.pone.0049442 Text en © 2012 Snoeren et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Snoeren, Nikol van Hooff, Sander R. Adam, Rene van Hillegersberg, Richard Voest, Emile E. Guettier, Catherine van Diest, Paul J. Nijkamp, Maarten W. Brok, Mariel O. van Leenen, Dik Groot Koerkamp, Marian J. A. Holstege, Frank C. P. Borel Rinkes, Inne H. M. Exploring Gene Expression Signatures for Predicting Disease Free Survival after Resection of Colorectal Cancer Liver Metastases |
title | Exploring Gene Expression Signatures for Predicting Disease Free Survival after Resection of Colorectal Cancer Liver Metastases |
title_full | Exploring Gene Expression Signatures for Predicting Disease Free Survival after Resection of Colorectal Cancer Liver Metastases |
title_fullStr | Exploring Gene Expression Signatures for Predicting Disease Free Survival after Resection of Colorectal Cancer Liver Metastases |
title_full_unstemmed | Exploring Gene Expression Signatures for Predicting Disease Free Survival after Resection of Colorectal Cancer Liver Metastases |
title_short | Exploring Gene Expression Signatures for Predicting Disease Free Survival after Resection of Colorectal Cancer Liver Metastases |
title_sort | exploring gene expression signatures for predicting disease free survival after resection of colorectal cancer liver metastases |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3504021/ https://www.ncbi.nlm.nih.gov/pubmed/23185333 http://dx.doi.org/10.1371/journal.pone.0049442 |
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