biostudies-literatureUnknown25(3)Alarcon-Zendejas AP<h4>Background</h4>Risk stratification or progression in prostate cancer is performed with the support of clinical-pathological data such as the sum of the Gleason score and serum levels PSA. For several decades, methods aimed at the early detection of prostate cancer have included the determination of PSA serum levels. The aim of this systematic review is to provide an overview about recent advances in the discovery of new molecular biomarkers through transcriptomics, genomics and artificial intelligence that are expected to improve clinical management of the prostate cancer patient.<h4>Methods</h4>An exhaustive search was conducted by Pubmed, Google Scholar and Connected Papers using keywords relating to the genetics, genomics and artificial intelligence in prostate cancer, it includes "Prostate cancer and prostatic diseases431-443https://www.ebi.ac.uk/biostudies/studies/S-EPMC9385485biostudies-literatureThe promising role of new molecular biomarkers in prostate cancer: from coding and non-coding genes to artificial intelligence approaches.PMC9385485Jimenez-Davila MACastro-Hernandez CMontiel-Manriquez RPerez-Montiel DJimenez-Trejo FArriaga-Canon CJimenez-Rios MAAlarcon-Zendejas APAlvarez-Gomez RMHerrera LAScavuzzo AGonzalez-Barrios RfalseThe promising role of new molecular biomarkers in prostate cancer: from coding and non-coding genes to artificial intelligence approaches.<h4>Background</h4>Risk stratification or progression in prostate cancer is performed with the support of clinical-pathological data such as the sum of the Gleason score and serum levels PSA. For several decades, methods aimed at the early detection of prostate cancer have included the determination of PSA serum levels. The aim of this systematic review is to provide an overview about recent advances in the discovery of new molecular biomarkers through transcriptomics, genomics and artificial intelligence that are expected to improve clinical management of the prostate cancer patient.<h4>Methods</h4>An exhaustive search was conducted by Pubmed, Google Scholar and Connected Papers using keywords relating to the genetics, genomics and artificial intelligence in prostate cancer, it includes "2022-01-01T00:00:00Z2022 Sep2026-05-09T19:41:11.877Z2024-10-16T03:42:39.457ZS-EPMC93854853542210110.1038/s41391-022-00537-2