Identification of subtype-specific genes signature by WGCNA for prognostic prediction in diffuse type gastric cancer.

ABSTRACT:

Background

Gastric cancer is a common malignancy and had poor response to treatment due to its strong heterogeneity. This study aimed to identify essential genes associated with diffuse type gastric cancer and construct a powerful prognostic model.

Results

We conducted a weighted gene co-expression network analysis (WGCN) using transcripts per million (TPM) expression data from The Cancer Genome Atlas (TCGA) to find out the module related with diffuse type gastric cancer. Combining Least Absolute Shrinkage and Selection Operator (LASSO) with multi-cox regression, the 10 specific genes risk score model of diffuse type gastric cancer was established. The concordance index (0.97), the area under the respective ROC curves (AUCs) (1-years: 0.98; 3-years: 1; 5-years: 1) and surviv

SUBMITTER: Zhou Q 

PROVIDER: S-EPMC7521533 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature