Ontology highlight
ABSTRACT: Background
Breast cancer (BC) is the leading malignancy among women worldwide.Aim
This work aimed to present a comprehensively bioinformatic analysis of gene expression profiles and to identify the hub genes during BC tumorigenesis, providing potential biomarkers and targets for the diagnosis and therapy of BC.Materials & methods
In this study, multiple public databases, bioinformatics approaches, and online analytical tools were employed and the real-time reverse transcription polymerase chain reaction was implemented.Results
First, we identified 10, 107, and 3869 differentially expressed genes (DEGs) from three gene expression datasets (GSE9574, GSE15852, and GSE42568, covering normal, para-cancerous, and BC samples, respectively), and investigated differe
SUBMITTER: Dong X
PROVIDER: S-EPMC8894706 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature