Prognostic model based on six PD-1 expression and immune infiltration-associated genes predicts survival in breast cancer.

ABSTRACT:

Background

The prognosis of breast cancer (BC) was associated with the expression of programmed cell death-1 (PD-1).

Methods

BC-related expression and clinical data were downloaded from TCGA database. PD-1 expression with overall survival and clinical factors were investigated. Gene set variation analysis (GSVA) and weighted gene correlation network analysis were performed to investigate the PD-1 expression-associated KEGG pathways and genes, respectively. Immune infiltration was analyzed using the ssGSEA algorithm and DAVID, respectively. Univariate and multivariable Cox and LASSO regression analyses were performed to select prognostic genes for modeling.

Results

High PD-1 expression was related to prolonged survival time (P = 0.014). PD-1 expression status showed co

SUBMITTER: Junjun S 

PROVIDER: S-EPMC9226094 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature