Screening of Prognostic Factors in Early-Onset Breast Cancer.

ABSTRACT: BACKGROUND:Gene expression profiles from early-onset breast cancer and normal tissues were analyzed to explore the genes and prognostic factors associated with breast cancer. METHODS:GSE109169 and GSE89116 were obtained from the database of Gene Expression Omnibus. We firstly screened the differentially expressed genes between tumor samples and normal samples from patients with early-onset breast cancer. Based on database for annotation, visualization and intergrated discovery (DAVID) tool, functional analysis was calculated. Transcription factor-target regulation and microRNA-target gene network were constructed using the tool of transcriptional regulatory relatitionships unraveled by sentence-based text mining (TRRUST) and miRWalk2.0, respectively. The prognosis-related survival informat

SUBMITTER: Yu Z 

PROVIDER: S-EPMC7011326 | biostudies-literature | 2020 Jan-Dec

REPOSITORIES: biostudies-literature