A 17-gene expression-based prognostic signature associated with the prognosis of patients with breast cancer: A STROBE-compliant study.

ABSTRACT: Identification of reliable predictive biomarkers for patients with breast cancer (BC).Univariate Cox proportional hazards regression model was conducted to identify genes correlated with the overall survival (OS) of patients in the TCGA-BRCA cohort. Functional enrichment analysis was conducted to investigate the biological meaning of these survival related genes. Then, patients in TCGA-BCRA were randomly divided into training set and test. Least absolute shrinkage and selection operator (LASSO) penalized Cox regression model was performed and the risk score of BC patients in this model was used to build a prognostic signature. The prognostic performance of the signature was evaluated in the training set, test set, and an independent validation set GSE7390.2519 genes were demonstrated to be

SUBMITTER: Qian JX 

PROVIDER: S-EPMC7220332 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature