Application of the in silico approach in the study of critical genes predicting chemotherapeutic response to oxaliplatin in treatment of prostate cancer (literature reviev)

Abstract

Prostate cancer is the leading cause of death among men. Existing prognostic factors make it possible to differentiate the degree of malignancy of tumors with high metastatic potential. Currently, the treatment of high-grade tumors is carried out with hormonal therapy, to which taxanes are added, when the malignant neoplasm becomes resistant to castration. Studies with other anti-cancer agents did not take into account the genetic background of the tumors, and most of the trials showed low response rates. The article describes an in silico approach for screening drug candidates that can be used as an alternative to taxanes. Researched 86 genes that distinguish between high and low grade tumors, and identified several genes that correlated with chemosensitivity. As an example, a set of six genes has been proposed the expression levels of which can predict cell sensitivity to oxaliplatin. The study demonstrates the relevance of an approach to the treatment of high-grade prostate cancer and new biomarkers for predicting clinical tumor response.