Identification of novel prognostic biomarkers by integrating multi-omics data in gastric cancer.

ABSTRACT:

Background

Gastric cancer is a fatal gastrointestinal cancer with high morbidity and poor prognosis. The dismal 5-year survival rate warrants reliable biomarkers to assess and improve the prognosis of gastric cancer. Distinguishing driver mutations that are required for the cancer phenotype from passenger mutations poses a formidable challenge for cancer genomics.

Methods

We integrated the multi-omics data of 293 primary gastric cancer patients from The Cancer Genome Atlas (TCGA) to identify key driver genes by establishing a prognostic model of the patients. Analyzing both copy number alteration and somatic mutation data helped us to comprehensively reveal molecular markers of genomic variation. Integrating the transcription level of genes provided a unique perspective for

SUBMITTER: Liu N 

PROVIDER: S-EPMC8073914 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature