A prognostic model based on the COL1A1-network in gastric cancer.

ABSTRACT:

Background

Gastric cancer (GC) is one of the most common malignancies worldwide with a poor prognosis due to the lack of early detection and effective treatments. As a biomarker, collagen type I alpha 1 (COL1A1) is often dysregulated in some cancer types. However, the expression profile of COL1A1 and functional mechanism in GC is still unclear.

Methods

To screen for the different expression genes of GC vs. adjacent tissues, an RNA-seq dataset containing 30 clinical samples and multi-omics datasets of 478 samples were obtained from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, respectively. Then the functional enrichment analysis and survival analysis of dysregulated genes were performed. Furthermore, through constructing the protein-protein inte

SUBMITTER: Liu S 

PROVIDER: S-EPMC10086874 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature