Cited by 236Colorectal Cancer Treatments and StudiesColorectal Cancer Surgical TreatmentsGenetic factors in colorectal cancer

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Identification of a Poor-Prognosis BRAF-Mutant–Like Population of Patients With Colon Cancer

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Abstract

Purpose: Our purpose was development and assessment of a BRAF-mutant gene expression signature for colon cancer (CC) and the study of its prognostic implications. Materials and Methods: A set of 668 stage II and III CC samples from the PETACC-3 (Pan-European Trails in Alimentary Tract Cancers) clinical trial were used to assess differential gene expression between c.1799T>A (p.V600E) BRAF mutant and non-BRAF, non-KRAS mutant cancers (double wild type) and to construct a gene expression–based classifier for detecting BRAF mutant samples with high sensitivity. The classifier was validated in independent data sets, and survival rates were compared between classifier positive and negative tumors. Results: A 64 gene-based classifier was developed with 96% sensitivity and 86% specificity for detecting BRAF mutant tumors in PETACC-3 and independent samples. A subpopulation of BRAF wild-type patients (30% of KRAS mutants, 13% of double wild type) showed a gene expression pattern and had poor overall survival and survival after relapse, similar to those observed in BRAF-mutant patients. Thus they form a distinct prognostic subgroup within their mutation class. Conclusion: A characteristic pattern of gene expression is associated with and accurately predicts BRAF mutation status and, in addition, identifies a population of BRAF mutated-like KRAS mutants and double wild-type patients with similarly poor prognosis. This suggests a common biology between these tumors and provides a novel classification tool for cancers, adding prognostic and biologic information that is not captured by the mutation status alone. These results may guide therapeutic strategies for this patient segment and may help in population stratification for clinical trials.

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Metadata

Authors
Popovici, V., Budinska, E., Tejpar, S., Weinrich, S., Estrella, H., Hodgson, G., Van Cutsem, E., Xie, T., Bosman, F. T., Roth, A. D., & Delorenzi, M.
Affiliations
  • SIB Swiss Institute of Bioinformatics (CH)
  • Vlad Popovici, Eva Budinska, and Mauro Delorenzi, Swiss Institute of Bioinformatics; Fred T. Bosman and Mauro Delorenzi, Lausanne University Medical Center, Lausanne; Arnaud D. Roth, Geneva University Hospital, Geneva; Arnaud D. Roth, The Swiss Group for Clinical Cancer Research, Bern, Switzerland; Sabine Tejpar and Eric Van Cutsem, University Hospital Gasthuisberg, Katholieke Universiteit Leuven, Leuven, Belgium; and Scott Weinrich, Heather Estrella, Graeme Hodgson, and Tao Xie, Pfizer, La Jolla, CA.
Venue
Journal of Clinical Oncology
Published
2012-04-20
Volume
30
Issue
12
Pages
1288-1295
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2118017554
Cited by
236
References
4
Citations by year
2026: 3 · 2025: 6 · 2024: 5 · 2023: 4 · 2022: 8 · 2021: 23 · 2020: 33 · 2019: 15 · 2018: 20 · 2017: 18 · 2016: 17 · 2015: 20 · 2014: 16 · 2013: 28 · 2012: 19
FWCI
13.58
Type
journal article
Language
en
Open access
Locations
  • Journal of Clinical Oncology (publishedVersion)
  • PubMed (publishedVersion)
  • IRIS (submittedVersion)
  • SERVAL (Université de Lausanne) (submittedVersion)
Funders
  • Fondation Medic
  • Vlaamse regering
Topics
  • Health Sciences › Medicine › Oncology › Colorectal Cancer Treatments and Studies
  • Health Sciences › Medicine › Oncology › Colorectal Cancer Surgical Treatments
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Genetic factors in colorectal cancer
Keywords
colon cancer, BRAF mutation, gene expression signatures, prognostic factors, KRAS mutation, overall survival, relapse, stage II and III colon cancer, molecular classification, patient stratification
MeSH terms
Aged, Aged, 80 and over, Colonic Neoplasms, Female, Humans, Male, Middle Aged, Mutation, Neoplasm Staging, Predictive Value of Tests, Prospective Studies, Proto-Oncogene Proteins, Reproducibility of Results, Cohort Studies, Gene Expression Regulation, Neoplastic, Proportional Hazards Models, Survival Analysis, Proto-Oncogene Proteins p21(ras), Risk Assessment, Disease-Free Survival, ras Proteins, Genetic Predisposition to Disease, Proto-Oncogene Proteins B-raf

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