BIOINFORMATICS ANALYSIS OF MOLECULAR CHARACTERISTICS OF ENDOMETRIAL AND BREAST CANCER ASSOCIATED WITH ESR1

Abstract

Summary. Aim: to evaluate the expression pattern of genes associated with ESR1 in the progression of endometrial and breast cancer. Object and methods: protein-protein interactions associated with ESR1 in the progression endometrial (EC) and breast cancer (BRCA) were evaluated based on the STRING v. 12.0 database. Using the interactive databases GEPIA2 and UALCAN, the expression of genes associated with ESR1 in EC and BRCA at the mRNA and protein levels, respectively, was investigated. Results: genes (score > 0.9) associated with ESR1 in both EC and BRCA tumor cells were identified (SRC, CCND1, TP53, PGR, FN1, HIF1A, AKT1). It was established that low values of mRNA expression of CCND1, PGR and high SRC, FN1 in EC and BRCA are associated with an unfavorable prognosis of the course of these oncopathologies. It is shown that lower 5-year survival for patients with EC is observed with a lower expression of TP53, than for patients with BRCA with a higher expression of this indicator. Conclusions: on the basis of prognostic modeling, the interactions of the studied genes associated with ESR1 were determined. Their expression at the levels of proteins and mRNA in EC and BRCA was evaluated, which is associated with the progression of these forms of cancer. Such bioinformatic analysis is the theoretical basis for further validation of a panel of potential biomarkers as informative prognostic indicators associated with the features of oncogenesis of endometrial and mammary gland tissues.