Exploring Gene Expression Signatures for Predicting Disease Free Survival after Resection of Colorectal Cancer Liver Metastases

Nikol Snoeren, Sander R. van Hooff, Rene Adam, Richard van Hillegersberg, Emile E. Voest, Catherine Guettier, Paul J. van Diest, Maarten W. Nijkamp, Mariel O. Brok, Dik van Leenen, Marian J A Groot Koerkamp, Frank C P Holstege, Inne H M Borel Rinkes

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Article numbere49442
JournalPLoS One
Volume7
Issue number11
DOIs
StatePublished - Nov 21 2012
Externally publishedYes

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

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