Evidence map›Paper›PMID 39666350›Full record

ArticleJAMA oncology2025

Polygenic Risk Score and Upgrading in Patients With Prostate Cancer Receiving Active Surveillance.

Louisa B Goss, Menghan Liu, Yingye Zheng, Boya Guo, David V Conti, Christopher A Haiman, Linda Kachuri, William J Catalona, John S Witte, Daniel W Lin and 2 more

Abstract readMulticenter Study
In one paragraph

Article in JAMA oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Germline polygenic score for prostate cancer aggressiveness.medRxiv : the preprint server for health sciences · 2026
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Louisa B GossPublic Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.
Menghan LiuPublic Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.
Yingye ZhengPublic Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.
Boya GuoPublic Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.
David V ContiCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles.
Christopher A HaimanCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles.
Linda KachuriDepartment of Epidemiology and Population Health, Stanford University, Stanford, California.
William J CatalonaDepartment of Urology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
John S WitteDepartment of Epidemiology and Population Health, Stanford University, Stanford, California.
Daniel W LinPublic Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.
Lisa F NewcombPublic Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.
Burcu F DarstPublic Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.

Funding

The Early Detection Research Network: Data Management and Coordinating CenterU24CA086368 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RUTH D ETZIONI, Ziding Feng · 2010 to 2026
$75.7M
TRANSCRIPTOME AND PROTEOME STRATIFICATION OF PROSTATE ADENOCARCINOMA PHENOTYPESP50CA097186 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETER S NELSON · 2002 to 2026
$58.1M
Targeting FOXA1-downstream pathways: a novel therapeutic strategy for castration-resistant prostate cancerP50CA180995 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ABDULKADIR, SARKI A., HUSSAIN, MAHA H · 2015 to 2025
$19.9M
Prostate Cancer Biomarker and Imaging Validation Alliance: Emory University, University of Alabama Birmingham, and University of Texas SouthwesternU01CA113913 · NCI · EMORY UNIVERSITY · PI Martin G. Sanda · 2005 to 2026
$16.4M
Prostate cancer Active Surveillance Study (PASS) Cohort: Infrastructure Support for Cancer ResearchU01CA224255 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI LIN, DANIEL W. · 2019 to 2023
$6.7M
Leveraging Prospective Cancer Epidemiology Cohorts and Novel Methods to Improve Polygenic Risk ScoresU01CA261339 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fei Chen, David V Conti · 2021 to 2026
$5.2M
Precision Prostate Cancer Screening with Genetically Adjusted Prostate-Specific Antigen LevelsR01CA241410 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI John S. Witte · 2020 to 2026
$3.7M
Integrating Genomics and Metabolomics to Develop Predictive Models of Prostate Cancer in Multiethnic MenR00CA246063 · NCI · FRED HUTCHINSON CANCER CENTER · PI DARST, BURCU FRANCES · 2022 to 2024
$830k
NCI NIH HHS P50 CA097186NCI NIH HHS P50 CA180995NCI NIH HHS R00 CA246063NCI NIH HHS R01 CA241410NCI NIH HHS U01 CA113913NCI NIH HHS U01 CA224255NCI NIH HHS U01 CA261339NCI NIH HHS U24 CA086368
6 · The paper itself

Abstract

Importance: Active surveillance is the preferred management strategy for patients with low- or favorable intermediate-risk prostate cancer (PCa); however, frequent health care visits can be costly and burdensome to patients. Identifying patients who may benefit from intensive vs passive surveillance could reduce these burdens. Objective: To investigate associations between a polygenic risk score (PRS) and risk of upgrading and other prostate tumor features in patients receiving active surveillance. Design, Setting, and Participants: This prospective multicenter cohort study across 10 US sites included 1220 patients from the Canary Prostate Active Surveillance Study (PASS) enrolled from July 2008 to November 2017, with follow-up (median, 5.3 years) through August 2022. Participants were those with clinically localized PCa (cT1-T2) receiving active surveillance. Analyses took place from January 2023 to April 2024. Exposure: Multi-ancestry PRS of 451 PCa risk variants (PRS-451) and 400 PCa risk variants (PRS-400) after excluding prostate-specific antigen (PSA)-associated variants. Main Outcomes and Measures: The primary outcome was PCa upgrading (any Gleason grade increase) vs no upgrading. Secondary outcomes included prostate volume, PSA, PSA density, percentage of biopsy cores with cancer, and Gleason grade group at diagnosis. Results: The median (IQR) age at diagnosis of the 1220 patients receiving active surveillance was 63 (58-67) years. During follow-up, 470 patients upgraded; the 2- and 5-year risks of upgrading were 17.7% (95% CI, 15.5%-19.9%) and 33.3% (95% CI, 30.5%-36.3%), respectively. Each 1-SD unit increase in PRS-451 was associated with 23% increased hazard of upgrading (95% CI, 1.11-1.35; P < .001), whereas PRS-400 was associated with 27% increased hazard (95% CI, 1.15-1.39; P < .001) at any point in time during follow-up. Except for PSA, associations with remaining outcomes were similar or stronger using PRS-400. Higher PRS-400 was associated with smaller prostate volume, a higher percentage of biopsy cores with cancer, and higher PSA density. A model with clinical risk factors had a C-index of 0.64 (95% CI, 0.62-0.67); adding PRS-400 led to a C-index of 0.65 (95% CI, 0.63-0.68). Conclusions and Relevance: In this cohort study, among patients receiving active surveillance, high PRS was associated with risk of upgrading and possibly tumor multifocality. Excluding PSA variants from the PRS revealed an association with smaller prostate size, which has been previously associated with more aggressive tumors. Although PRS may inform active surveillance, it is yet to be seen whether they improve clinical decisions.

Indexed as

Multifactorial InheritanceProstatic NeoplasmsWatchful WaitingAgedGenetic Risk ScoreHumansMaleMiddle AgedNeoplasm GradingProspective StudiesProstate-Specific AntigenRisk AssessmentRisk FactorsProstate-Specific Antigen

Identifiers

PMID39666350
PMCPMC11843374

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.