A modern era of personalized medicine in the diagnosis, prognosis, and treatment of prostate cancer

Vinoth Kumar Lakshmanan, Shreesh Ojha, Young Do Jung

Research output: Contribution to journalReview articlepeer-review

4 Citations (Scopus)

Abstract

The present era is witnessing rapid advancements in the field of medical informatics and modern healthcare management. The role of translational bioinformatics (TBI), an infant discipline in the field of medical informatics, is pivotal in this revolution. The development of high-throughput technologies [e.g., microarrays, next-generation sequencing (NGS)] has propelled TBI to the next stage in this modern era of medical informatics. In this review, we assess the promising translational outcomes of microarray- and NGS-based discovery of genes, proteins, micro RNAs, and other active biological compounds aiding in the diagnosis, prognosis, and therapy of prostate cancer (PCa) to improve treatment strategies at the localized and/or metastatic stages in patients. Several promising candidate biomarkers in circulating blood (miR-25–3p and miR-18b-5p), urine (miR-95, miR-21, miR-19a, and miR-19b), and prostatic secretions (miR-203) have been identified. AURKA and MYCN, novel candidate biomarkers, were found to be specifically expressed in neuroendocrine PCa. The use of BTNL2 gene mutations and inflammasomes as biomarkers in immune function-mediated, inherited PCa has also been elucidated based on NGS data. Although TBI discoveries can benefit clinical performance metrics, the translational potential and the in vivo performance of TBI outcomes need to be verified. In conclusion, TBI aids in the effective clinical management of PCa; furthermore, the fate of personalized/precision medicine mostly relies on the enhanced diagnostic, prognostic, and therapeutic potential of TBI.

Original languageEnglish
Article number104020
JournalComputers in Biology and Medicine
Volume126
DOIs
Publication statusPublished - Nov 2020

Keywords

  • Drug design
  • Microarray
  • Next-generation sequencing
  • Prostate cancer
  • Translational bioinformatics

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

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