The promising role of new molecular biomarkers in prostate cancer: from coding and non-coding genes to artificial intelligence approaches.

Ana Paula Alarcón-ZendejasAnna ScavuzzoMiguel A Jiménez-RíosRosa Maria ÁlvarezRogelio Montiel-ManríquezClementina Castro-HernándezMiguel A Jiménez-DávilaDelia Pérez-MontielRodrigo González-BarriosFrancisco Jiménez-TrejoCristian Arriaga-Canon Luis Alonso Herrera-Montalvo

Published in: Prostate cancer and prostatic diseases (2022)

Transcriptomic and genomic analysis have contributed to generate knowledge in the field of prostate carcinogenesis, new information about coding and non-coding genes as biomarkers has emerged. Synergies created by the implementation of artificial intelligence to analyze and understand sequencing data have allowed the development of clinical strategies that facilitate decision-making and improve personalized management in prostate cancer.

Keyphrases

artificial intelligence
prostate cancer
big data
machine learning
deep learning
radical prostatectomy
decision making
healthcare
genome wide
single cell
primary care
bioinformatics analysis
genome wide identification
electronic health record
dna methylation
transcription factor