Constructing an immune-related prognostic model and exploring the function of HMGB3, TNFSF4, and CORO2A in breast cancer.

ABSTRACT:

Background

Breast cancer (BC) is clinically defined as a cold tumor due to its low immunogenicity, which is usually insensitive to immunosuppressive agents. Herein, we investigated the predictive potential of novel immune-related genes (IRGs) in BC, with the objective of more effectively guiding the immunotherapy for patients with BC.

Methods

The least absolute shrinkage and selection operator (LASSO) regression analysis was used to conduct the BC prognostic model based on IRGs, and univariate/multivariate Cox proportional hazards models were employed to establish the BC predictive nomograms. Then, we investigated the expression patterns of these IRGs utilizing The Cancer Genome Atlas (TCGA) database. Moreover, we also performed correlation analyses between IRGs and multiple

SUBMITTER: Tang M 

PROVIDER: S-EPMC12605285 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature