Exploring TCGA database for identification of potential prognostic genes in stomach adenocarcinoma.

ABSTRACT:

Background

Stomach adenocarcinoma (STAD) is the fifth most prevalent cancer in the world and ranks third among cancer-related deaths worldwide. The tumour microenvironment (TME) plays an important role in tumorigenesis, development, and metastasis. Hence, we calculated the immune and stromal scores to find the potential prognosis-related genes in STAD using bioinformatics analysis.

Methods

The ESTIMATE algorithm was used to calculate the immune/stromal scores of the STAD samples. Functional enrichment analysis, protein-protein interaction (PPI) network analysis, and overall survival analysis were then performed on differential genes. And we validated these genes using data from the Gene Expression Omnibus database. Finally, we used the Human Protein Atlas (HPA) databases to

SUBMITTER: Zhou L 

PROVIDER: S-EPMC7310509 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature