Transcriptomics and Prognosis Analysis to Identify Critical Biomarkers in Invasive Breast Carcinoma.

ABSTRACT:

Objective

Invasive breast cancer (BRCA) is one of the prevalent types of invasive tumors with high mortality worldwide. Due to the lack of effective treatment to control the recurrence of distant metastases, the prognosis of BRCA is still very unsatisfactory. We aimed to find some biomarkers by bioinformatics analysis for survival prediction.

Methods

Differentially expressed genes (DEGs) were screened out based on tumor group and normal group. Then, the weighted gene correlation network analysis (WGCNA) was employed to identify the clinically associated gene sets. Meanwhile, the enrichment analyses were performed for the functional annotation of the critical genes. The Kaplan Meier analysis calculated the essential genes' prognostic value.

Results

After threshold scre

SUBMITTER: Wu J 

PROVIDER: S-EPMC7672771 | biostudies-literature | 2020 Jan-Dec

REPOSITORIES: biostudies-literature