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.
Highlights
GATA transcription factors are defined as a family of transcription factors characterized by their DNA-binding specificities to the “GATA” DNA sequence[1]
We explored the characterization of the GATA family member gene status of breast cancer patients from expression patterns to prognostic values and potential clinical pathology application to provide a comprehensive understanding of GATA family utilities in breast cancer
The six GATA family members from GATA1 to GATA6 were explored in human cancers by the Oncomine online database
Summary
GATA transcription factors are defined as a family of transcription factors characterized by their DNA-binding specificities to the “GATA” DNA sequence[1]. The altered expression of GATA4, GATA5, and GATA6 is associated with various malignancies broadly from the gastric tract, lungs, ovaries, and even the brain[9] Their role in cancer as an oncogene or a tumor suppressor gene is still uncertain. Using gene regulation networks from large databases to develop an understanding of transcription factor functions has been widely accepted by the biology research field. GATA members in the development and progression of human cancers, the integrated functions and prognostic values of different GATA members in breast cancer are largely unexplored. The present study aimed to systemically investigate the expression and prognostic values of GATA family members with potential gene functions in breast cancer by using integrated large databases. We explored the characterization of the GATA family member gene status of breast cancer patients from expression patterns to prognostic values and potential clinical pathology application to provide a comprehensive understanding of GATA family utilities in breast cancer
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