Identification of a Transcription Factor Signature That Can Predict Breast Cancer Survival.

ABSTRACT:

Background

The expression pattern of transcription factors (TFs) can be used to develop potential prognostic biomarkers for cancer. In this study, we aimed to identify and validate a TF signature for predicting disease-free survival (DFS) of breast cancer (BRCA) patients.

Methods

Lasso and the Cox regression analyses were applied to construct a TF signature based on a gene expression dataset from TCGA. The prognosis value of the TF signature was investigated in the TCGA database, and its reliability was further validated in 3 independent datasets from Gene Expression Omnibus (GEO). The prognosis performance of the TF signature was compared with 4 previously published gene signatures. To investigate the association between the TF signature and hallmarks of cancer, Gene Set En

SUBMITTER: Fan C 

PROVIDER: S-EPMC7914092 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature