A Novel Inflammatory Response-Related Gene Signature Predicts Immune Status and Prognosis of Breast Cancer.

ABSTRACT:

Purpose

Breast cancer is the most common type of cancer and the leading cause of cancer-related death in women worldwide. In this study, we aimed to construct an inflammatory response-related gene model for predicting the immune status and prognosis of breast cancer patients.

Methods

We obtained the inflammatory response-related genes from the Molecular Signatures Database. Furthermore, we used univariate Cox regression analysis, the least absolute shrinkage and selection operator (LASSO) regression analysis, and multivariate Cox regression to construct an inflammatory response-related gene signature (IRGS) model based on dataset obtained from The Cancer Genome Atlas (TCGA). Patients were consequently categorized into high-risk and low-risk groups. Kaplan-Meier analysis was

SUBMITTER: Zhao R 

PROVIDER: S-EPMC9711960 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature