Comparison of gene expression patterns across 12 tumor types identifies a cancer supercluster characterized by TP53 mutations and cell cycle defects.

ABSTRACT: Transcriptional profile-based subtypes of cancer are often viewed as identifying different diseases from the same tissue origin. Understanding the mechanisms driving the subtypes may be key in development of novel therapeutics but is challenged by lineage-specific expression signals. Using a t-test statistics approach, we compared gene expression subtypes across 12 tumor types, which identified eight transcriptional superclusters characterized by commonly activated disease pathways and similarities in gene expression. One of the largest superclusters was determined by the upregulation of a proliferation signature, significant enrichment in TP53 mutations, genomic loss of CDKN2A (p16(ARF)), evidence of increased numbers of DNA double strand breaks and high expression of cyclin B1 protein. T

SUBMITTER: Martinez E 

PROVIDER: S-EPMC4317393 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature