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

• Published in: PloS one Vol. 7; no. 11; p. e49442
• Main Authors: 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.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 21.11.2012; Public Library of Science (PLoS)
• Subjects: Aged; Area Under Curve; Biology; Cancer genetics; Cancer metastasis; Cancer therapies; Chemotherapy; Cohort Studies; Colorectal cancer; Colorectal carcinoma; Colorectal Neoplasms - metabolism; Colorectal Neoplasms - pathology; Disease-Free Survival; Female; Gene expression; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Genes; Genetic research; Genomes; Health care facilities; Humans; Liver; Liver cancer; Liver Neoplasms - metabolism; Liver Neoplasms - secondary; Male; Medical centers; Medical prognosis; Medical research; Medicine; Metastases; Metastasis; Middle Aged; Nucleic Acid Hybridization; Oligonucleotide Array Sequence Analysis; Patients; Prognosis; Proportional Hazards Models; Recurrence; Risk; Risk groups; Signatures; Surgery; Survival; Survival analysis; Treatment Outcome; Netherlands
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0049442

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). 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. 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. 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.