A core matrisome gene signature predicts cancer outcome.

ABSTRACT:

Background

Accumulating evidence implicates the tumour stroma as an important determinant of cancer progression but the protein constituents relevant for this effect are unknown. Here we utilised a bioinformatics approach to identify an extracellular matrix (ECM) gene signature overexpressed in multiple cancer types and strongly predictive of adverse outcome.

Methods

Gene expression levels in cancers were determined using Oncomine. Geneset enrichment analysis was performed using the Broad Institute desktop application. Survival analysis was performed using KM plotter. Survival data were generated from publically available genesets.

Results

We analysed ECM genes significantly upregulated across a large cohort of patients with ovarian, lung, gastric and colon cancers an

SUBMITTER: Yuzhalin AE 

PROVIDER: S-EPMC5808042 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature