A Composite Gene Expression Signature Optimizes Prediction of Colorectal Cancer Metastasis and Outcome.

Details

Serval ID
serval:BIB_EA19DDA38B3B
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
A Composite Gene Expression Signature Optimizes Prediction of Colorectal Cancer Metastasis and Outcome.
Journal
Clinical Cancer Research : An Official Journal of the American Association For Cancer Research
Author(s)
Schell M.J., Yang M., Missiaglia E., Delorenzi M., Soneson C., Yue B., Nebozhyn M.V., Loboda A., Bloom G., Yeatman T.J.
ISSN
1078-0432 (Print)
ISSN-L
1078-0432
Publication state
Published
Issued date
2016
Peer-reviewed
Oui
Volume
22
Number
3
Pages
734-745
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
PURPOSE: We previously found that an epithelial-to-mesenchymal transition (EMT)-based gene expression signature was highly correlated with the first principal component (PC1) of 326 colorectal cancer tumors and was prognostic. This study was designed to improve these signatures for better prediction of metastasis and outcome.
EXPERIMENTAL DESIGN: A total of 468 colorectal cancer tumors including all stages (I-IV) and metastatic lesions were used to develop a new prognostic score (ΔPC1.EMT) by subtracting the EMT signature score from its correlated PC1 signature score. The score was validated on six other independent datasets with a total of 3,697 tumors.
RESULTS: ΔPC1.EMT was found to be far more predictive of metastasis and outcome than its parent scores. It performed well in stages I to III, among microsatellite instability subtypes, and across multiple mutation-based subclasses, demonstrating a refined capacity to predict distant metastatic potential even in tumors with a "good" prognosis. For example, in the PETACC-3 clinical trial dataset, it predicted worse overall survival in an adjusted multivariable model for stage III patients (HR standardized by interquartile range [IQR] = 1.50; 95% confidence interval, 1.25-1.81; P = 0.000016, N = 644). The improved performance of ΔPC1.EMT was related to its propensity to identify epithelial-like subpopulations as well as mesenchymal-like subpopulations. Biologically, the signature was correlated positively with RAS signaling but negatively with mitochondrial metabolism. ΔPC1.EMT was a "best of assessed" prognostic score when compared with 10 other known prognostic signatures.
CONCLUSIONS: The study developed a prognostic signature score with a propensity to detect non-EMT features, including epithelial cancer stem cell-related properties, thereby improving its potential to predict metastasis and poorer outcome in stage I-III patients.
Keywords
Cluster Analysis, Colorectal Neoplasms/diagnosis, Colorectal Neoplasms/genetics, Epithelial-Mesenchymal Transition/genetics, Female, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Humans, Kaplan-Meier Estimate, Male, Microsatellite Instability, Neoplasm Metastasis, Neoplasm Staging, Patient Outcome Assessment, Prognosis, Proportional Hazards Models, Reproducibility of Results, Transcriptome
Pubmed
Web of science
Open Access
Yes
Create date
19/02/2016 19:43
Last modification date
07/04/2021 5:34
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