Gene coexpression network approach to develop an immune prognostic model for pancreatic adenocarcinoma.

ABSTRACT:

Background

Pancreatic adenocarcinoma (PAAD) is a nonimmunogenic tumor, and very little is known about the relationship between the host immune response and patient survival. We aimed to develop an immune prognostic model (IPM) and analyze its relevance to the tumor immune profiles of patients with PAAD.

Methods

We investigated differentially expressed genes between tumor and normal tissues in the TCGA PAAD cohort. Immune-related genes were screened from highly variably expressed genes with weighted gene correlation network analysis (WGCNA) to construct an IPM. Then, the influence of IPM on the PAAD immune profile was comprehensively analyzed.

Results

A total of 4902 genes highly variably expressed among primary tumors were used to construct a weighted gene coexpressio

SUBMITTER: Gu X 

PROVIDER: S-EPMC8042890 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature