Identification of the subtypes of gastric cancer based on DNA methylation and the prediction of prognosis.

ABSTRACT:

Background

Gastric cancer (GC) is a digestive system cancer with a high mortality rate globally. Previous experiences and studies have provided clinicians with ample evidence to diagnose and treat patients with reasonable therapeutic options. However, there remains a need for sensitive biomarkers that can provide clues for early diagnosis and prognosis assessment.

Results

We found 610 independent prognosis-related 5'-cytosine-phosphate-guanine-3' (CpG) sites (P < 0.05) among 21,121 sites in the training samples. We divided the GC samples into seven clusters based on the selected 610 sites. Cluster 6 had relatively higher methylation levels and high survival rates than the other six clusters. A prognostic risk model was constructed using the significantly altered CpG sites in

SUBMITTER: Li T 

PROVIDER: S-EPMC7592597 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature