European Medical Journal (Dec 2020)

Prostate Cancer Screening Recommendations for General and Specific Populations in the Western Nations

  • Maurice L. King,
  • Mary R. Nittala,
  • Xiaoshan Z. Gordy,
  • Paul Roberts,
  • Seth T. Lirette,
  • Toms V. Thomas,
  • David P. Gordy,
  • Ashley A. Albert,
  • Vani Vijayakumar,
  • Srinivasan Vijayakumar

Journal volume & issue
Vol. 5, no. 4
pp. 119 – 131

Abstract

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There is a chaotic scenario that exists in the field of prostate cancer (PCa) screening. To balance goals, such as decreasing mortality, avoiding unnecessary procedures, and decreasing the cost of medical care, the pendulum seems to have swung to the side of more restricted screening. The decrease in PCa screening has led to a slowly creeping decline in the favourable outcomes that existed among patients with PCa. If a potential patient or a family member is trying to get clear guidance about PCa screening by searching the internet, they will end up confused by several recommendations from many organisations. It is even more challenging to obtain any clarity about PCa screening for special populations, such as those with a family history of PCa, those of African descent/African Americans, and the elderly. The advent of genomic medicine and precision medicine is an opportunity to identify those at a very high risk of developing aggressive PCa, so that PCa screening can be more actively undertaken among them. In this paper, the authors review the current recommendations by different entities and summarise emerging molecular markers that may help bring clarity to PCa screening. The authors predict that concrete, consensual guidelines will emerge in less than one decade. Meanwhile, this article suggests intermediary steps that will help save lives from PCa mortality, especially for under-represented populations. This paper is a catalyst to stimulate further discussion and serves as a guide to noncancer-specialists for the near future as precision medicine progresses to better understand risk–benefit and cost–benefit ratios in PCa screening.

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