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 survival difference of high- and low risk groups (p=2.84e-10) of this model in TCGA dataset were obtained. The moderate predicting performance was observed in the independent cohort of GSE15459 and GSE62254. The results of the gene set enrichment analysis (GSEA) using high-and low risk group as phenotype indicated differential expression of tumor-related pathways. CONCLUSION:Thus, we constructed a reliable prognostic model for diffuse type gastric cancer, which should be beneficial for clinical therapeutic decision-making.

journal_name

Aging (Albany NY)

journal_title

Aging

authors

Zhou Q,Zhou LQ,Li SH,Yuan YW,Liu L,Wang JL,Wu DZ,Wu Y,Xin L

doi

10.18632/aging.103743

subject

Has Abstract

pub_date

2020-09-11 00:00:00

pages

17418-17435

issue

17

issn

1945-4589

pii

103743

journal_volume

12

pub_type

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