The aim of the systematic review is to assess AI's capabilities in the genetics of prostate cancer (PCa) and bladder cancer (BCa) to evaluate target groups for such analysis as well as to assess its prospects in daily practice.
In total, our analysis included 27 articles: 10 articles have reported on PCa and 17 on BCa, respectively. The AI algorithms added clinical value and demonstrated promising results in several fields, including cancer detection, assessment of cancer development risk, risk stratification in terms of survival and relapse, and prediction of response to a specific therapy. Besides clinical applications, genetic analysis aided by the AI shed light on the basic urologic cancer biology. We believe, our results of the AI application to the analysis of PCa, BCa data sets will help to identify new targets for urological cancer therapy. The integration of AI in genomic research for screening and clinical applications will evolve with time to help personalizing chemotherapy, prediction of survival and relapse, aid treatment strategies such as reducing frequency of diagnostic cystoscopies, and clinical decision support, e.g., by predicting immunotherapy response. These factors will ultimately lead to personalized and precision medicine thereby improving patient outcomes.
Current urology reports. 2023 Dec 15 [Epub ahead of print]
Andrey Bazarkin, Andrey Morozov, Alexander Androsov, Harun Fajkovic, Juan Gomez Rivas, Nirmish Singla, Svetlana Koroleva, Jeremy Yuen-Chun Teoh, Andrei V Zvyagin, Shahrokh François Shariat, Bhaskar Somani, Dmitry Enikeev
Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia., Department of Pediatric Surgery, Division of Pediatric Urology and Andrology, Sechenov University, Moscow, Russia., Department of Urology and Comprehensive Cancer Center, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria., Department of Urology, Clinico San Carlos University Hospital, Madrid, Spain., School of Medicine, Brady Urological Institute, Johns Hopkins Medicine, Baltimore, MD, USA., Clinical Institute for Children Health Named After N.F. Filatov, Sechenov University, Moscow, Russia., Department of Surgery, S.H. Ho Urology Centre, The Chinese University of Hong Kong, Hong Kong, China., Institute of Molecular Theranostics, Sechenov University, Moscow, Russia., Department of Urology, University Hospital Southampton, Southampton, United Kingdom., Institute for Urology and Reproductive Health, Sechenov University, Moscow, Russia. .
PubMed http://www.ncbi.nlm.nih.gov/pubmed/38099997