Unknown

Dataset Information

Gene expression patterns unveil a new level of molecular heterogeneity in colorectal cancer.


ABSTRACT: The recognition that colorectal cancer (CRC) is a heterogeneous disease in terms of clinical behaviour and response to therapy translates into an urgent need for robust molecular disease subclassifiers that can explain this heterogeneity beyond current parameters (MSI, KRAS, BRAF). Attempts to fill this gap are emerging. The Cancer Genome Atlas (TGCA) reported two main CRC groups, based on the incidence and spectrum of mutated genes, and another paper reported an EMT expression signature defined subgroup. We performed a prior free analysis of CRC heterogeneity on 1113 CRC gene expression profiles and confronted our findings to established molecular determinants and clinical, histopathological and survival data. Unsupervised clustering based on gene modules allowed us to distinguish at leas

SUBMITTER: Budinska E 

PROVIDER: S-EPMC3840702 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature