Polygenic risk scores to stratify cancer screening should predict mortality not incidence Review


Authors: Vickers, A. J.; Sud, A.; Bernstein, J.; Houlston, R.
Review Title: Polygenic risk scores to stratify cancer screening should predict mortality not incidence
Abstract: Population-based cancer screening programs such as mammography or colonscopy generally directed at all healthy individuals in a given age stratum. It has recently been proposed that cancer screening could be restricted to a high-risk subgroup based on polygenic risk scores (PRSs) using panels of single-nucleotide polymorphisms (SNPs). These PRSs were, however, generated to predict cancer incidence rather than cancer mortality and will not necessarily address overdiagnosis, a major problem associated with cancer screening programs. We develop a simple net-benefit framework for evaluating screening approaches that incorporates overdiagnosis. We use this methodology to demonstrate that if a PRS does not differentially discriminate between incident and lethal cancer, restricting screening to a subgroup with high scores will only improve screening outcomes in a small number of scenarios. In contrast, restricting screening to a subgroup defined as high-risk based on a marker that is more strongly predictive of mortality than incidence will often afford greater net benefit than screening all eligible individuals. If PRS-based cancer screening is to be effective, research needs to focus on identifying PRSs associated with cancer mortality, an unchartered and clinically-relevant area of research, with a much higher potential to improve screening outcomes.
Keywords: lung-cancer; overdiagnosis
Journal Title: npj Precision Oncology
Volume: 6
ISSN: 2397-768X
Publisher: Springer Nature  
Date Published: 2022-05-30
Start Page: 32
Language: English
ACCESSION: WOS:000803304000001
DOI: 10.1038/s41698-022-00280-w
PROVIDER: wos
PMCID: PMC9151796
PUBMED: 35637246
Notes: Review -- 32 -- Source: Wos
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  1. Andrew J Vickers
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  2. Jonine L Bernstein
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