Correlation of immune infiltration with clinical outcomes in breast cancer patients: The 25-gene prognostic signatures model.

ABSTRACT:

Purpose

Breast cancer is the most common cancer in women. The aim of this study was to build a prognostic signatures model based on the immune score of the ESTIMATE algorithm to predict survival of breast cancer patients.

Methods

The RNA-seq expression data and clinical characteristics of patients were derived from TCGA and GSE88770 of GEO. The ESTIMATE algorithm was used to calculate the patients' immune scores and to obtain DEGs. The LASSO Cox regression model was applied to select prognostic genes. Survival analysis and the ROC curve were used to evaluate the predictive efficacy of the prognostic signatures model. Independent prognostic factors of breast cancer were assessed using the Cox regression analyses, and a nomogram was constructed to enhance the clinical value.

SUBMITTER: Liu Y 

PROVIDER: S-EPMC7957182 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature