A Novel Promoter CpG-Based Signature for Long-Term Survival Prediction of Breast Cancer Patients.

ABSTRACT: DNA methylation has been reported as one of the most critical epigenetic aberrations during the tumorigenesis and development of breast cancer (BC). This study explored a novel promoter CpG-based signature for long-term survival prediction of BC patients. We used The Cancer Genome Atlas (TCGA) data as training set, and results were validated in an independent dataset from Gene Expression Omnibus (GEO). First, the differential methylation CpG sites were screened in TCGA dataset, of which the candidate promoter CpG sites were preliminarily identified with the univariate Cox regression analysis and the least absolute shrinkage and selection operator regression analysis. Second, the signature was constructed with stepwise regression analysis and multivariate Cox proportional hazards model, whi

SUBMITTER: Guo Y 

PROVIDER: S-EPMC7606941 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature