A gene expression-based risk model reveals prognosis of gastric cancer.

ABSTRACT:

Background

The prognosis of gastric cancer is difficult to determine, although clinical indicators provide valuable evidence.

Methods

In this study, using screened biomarkers of gastric cancer in combination with random forest variable hunting and multivariable Cox regression, a risk score model was developed to predict the survival of gastric cancer. Survival difference between high/low-risk groups were compared. The relationship between risk score and other clinicopathological indicators was evaluated. Gene set enrichment analysis (GSEA) was used to identify pathways associated with risk scores.

Results

The patients with high risk scores (median overall survival: 20.2 months, 95% CI [16.9-26.0] months) tend to exhibit early events compared with those with low risk s

SUBMITTER: Deng X 

PROVIDER: S-EPMC5807894 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature