Discovery of Prognostic Signature Genes for Overall Survival Prediction in Gastric Cancer.

ABSTRACT:

Background

Gastric cancer (GC) is one of the most common malignant tumors in the digestive system with high mortality globally. However, the biomarkers that accurately predict the prognosis are still lacking. Therefore, it is important to screen for novel prognostic markers and therapeutic targets.

Methods

We conducted differential expression analysis and survival analysis to screen out the prognostic genes. A stepwise method was employed to select a subset of genes in the multivariable Cox model. Overrepresentation enrichment analysis (ORA) was used to search for the pathways associated with poor prognosis.

Results

In this study, we designed a seven-gene-signature-based Cox model to stratify the GC samples into high-risk and low-risk groups. The survival analysis rev

SUBMITTER: Meng C 

PROVIDER: S-EPMC7468614 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature