Comprehensive analysis of the GATA transcription factor gene family in breast carcinoma using gene microarrays, online databases and integrated bioinformatics

Sci Rep. 2019 Mar 14;9(1):4467. doi: 10.1038/s41598-019-40811-3.

Abstract

Integrated studies of accumulated data can be performed to obtain more reliable information and more feasible measures for investigating the potential diagnostic and prognostic biomarkers of breast cancer and exploring related molecular mechanisms. Our study aimed to explore the GATA family members involved in breast cancer by integrating data from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and other online databases. We performed an integrated analysis of published studies from GEO and analyzed clinical data from TCGA and GTEx to evaluate the clinical significance and prognosis values of the GATA family in breast cancer. GATA3 was found to be upregulated and exhibited a favorable value in the diagnosis and prognosis of breast cancer. Through this study, we identified possible GATA3-correlated genes and core pathways that play an important role, which requires further investigation in breast cancer.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Breast Neoplasms / diagnosis*
  • Breast Neoplasms / genetics
  • Breast Neoplasms / metabolism
  • Computational Biology
  • Databases, Genetic
  • Early Detection of Cancer
  • Female
  • GATA Transcription Factors / genetics
  • GATA3 Transcription Factor / genetics*
  • GATA3 Transcription Factor / metabolism
  • Gene Expression Profiling / methods*
  • Gene Expression Regulation, Neoplastic
  • Gene Regulatory Networks
  • Humans
  • Multigene Family
  • Oligonucleotide Array Sequence Analysis
  • Prognosis
  • Survival Analysis
  • Up-Regulation*
  • Web Browser

Substances

  • GATA Transcription Factors
  • GATA3 Transcription Factor
  • GATA3 protein, human