Deciphering genomic alterations in colorectal cancer through transcriptional subtype-based network analysis.

ABSTRACT: Both transcriptional subtype and signaling network analyses have proved useful in cancer genomics research. However, these two approaches are usually applied in isolation in existing studies. We reason that deciphering genomic alterations based on cancer transcriptional subtypes may help reveal subtype-specific driver networks and provide insights for the development of personalized therapeutic strategies. In this study, we defined transcriptional subtypes for colorectal cancer (CRC) and identified driver networks/pathways for each subtype. Applying consensus clustering to a patient cohort with 1173 samples identified three transcriptional subtypes, which were validated in an independent cohort with 485 samples. The three subtypes were characterized by different transcriptional programs re

SUBMITTER: Zhu J 

PROVIDER: S-EPMC3829853 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature