BRAF   V600E Mutant Colorectal Cancer Subtypes Based on Gene Expression

癌症研究 结直肠癌 癌症 医学 突变 V600E型 突变体 基因表达 生物 基因 遗传学 内科学
作者
David Barras,Edoardo Missiaglia,Pratyaksha Wirapati,Oliver M. Sieber,Robert N. Jorissen,Chris Love,Peter L. Molloy,Ian T. Jones,Stephen McLaughlin,Peter Gibbs,Justin Guinney,Iris Simón,Arnaud Roth,Fred T. Bosman,Sabine Tejpar,Mauro Delorenzi
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
卷期号:23 (1): 104-115 被引量:232
标识
DOI:10.1158/1078-0432.ccr-16-0140
摘要

PURPOSE: Mutation of BRAF at the valine 600 residue occurs in approximately 10% of colorectal cancers, a group with particularly poor prognosis. The response of BRAF mutant colorectal cancer to recent targeted strategies such as anti-BRAF or combinations with MEK and EGFR inhibitors remains limited and highly heterogeneous within BRAF V600E cohorts. There is clearly an unmet need in understanding the biology of BRAF V600E colorectal cancers and potential subgroups within this population. EXPERIMENTAL DESIGN: In the biggest yet reported cohort of 218 BRAF V600E with gene expression data, we performed unsupervised clustering using non-negative matrix factorization to identify gene expression-based subgroups and characterized pathway activation. RESULTS: We found strong support for a split into two distinct groups, called BM1 and BM2. These subtypes are independent of MSI status, PI3K mutation, gender, and sidedness. Pathway analyses revealed that BM1 is characterized by KRAS/AKT pathway activation, mTOR/4EBP deregulation, and EMT whereas BM2 displays important deregulation of the cell cycle. Proteomics data validated these observations as BM1 is characterized by high phosphorylation levels of AKT and 4EBP1, and BM2 patients display high CDK1 and low cyclin D1 levels. We provide a global assessment of gene expression motifs that differentiate BRAF V600E subtypes from other colorectal cancers. CONCLUSIONS: We suggest that BRAF mutant patients should not be considered as having a unique biology and provide an in depth characterization of heterogeneous motifs that may be exploited for drug targeting. Clin Cancer Res; 23(1); 104-15. ©2016 AACR.
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