Evidence map›Paper›PMID 40187970›Full record

ArticleEuropean urology oncology2026

Identifying Patients at Risk of Early Lethal Prostate Cancer by Integrating Family History, Polygenic Risk Score, Rare Variants in DNA Repair Genes, and Lifestyle Factors.

Zhizhu Zhang, Yiwen Zhang, Konrad H Stopsack, Adam S Kibel, Edward L Giovannucci, Kathryn L Penney, Anqi Wang, Joseph Vijai, Philip W Kantoff, Mark M Pomerantz and 3 more

Abstract read
In one paragraph

Article in European urology oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Zhizhu ZhangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Yiwen ZhangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Konrad H StopsackDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Adam S KibelDepartment of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Edward L GiovannucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Kathryn L PenneyDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Anqi WangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Joseph VijaiNiehaus Center for Inherited Cancer Genomics, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Philip W KantoffDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Convergent Therapeutics, Inc., Cambridge, MA, USA.
Mark M PomerantzDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Kenneth OffitNiehaus Center for Inherited Cancer Genomics, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Lorelei A MucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Anna PlymDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Urology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. Electronic address: anna.plym@ki.se.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
The Impact of DNA Damage Repair Abnormalities in Prostate CancerP01CA228696 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SOLIT, DAVID B. · 2019 to 2024
$8.7M
NCI NIH HHS P01 CA228696NCI NIH HHS P30 CA008748NCI NIH HHS U01 CA167552
6 · The paper itself

Abstract

BACKGROUND AND

objectiveIn men with prostate cancer, one-third of deaths occur before the age of 75 yr. There remains a need to characterize heritable and environmental risk factors for these early deaths. This study aims to improve risk stratification for early lethal outcomes among prostate cancer patients with genetic factors beyond family history and with modifiable factors.

methodsThis study included 966 prostate cancer patients, enriched for high-risk localized disease and with germline genetic data, in two prospective cohorts. Three genetic factors (family history of prostate cancer, polygenic risk score [PRS] in the top 20%, and rare variants in DNA repair genes) and a lifestyle score were examined for their association with early lethal (metastases/prostate cancer death before the age of 75 yr) compared with nonlethal cases using logistic regression and by calculating 10-yr lethal disease risks. KEY FINDINGS AND LIMITATIONS: In total, 289 lethal, including 77 early lethal, cases were observed (median age at the end follow-up: 84.3 yr). Early lethal cases had higher percentages of men with a family history (23% vs 15%), a high PRS (47% vs 36%), and rare variants (14% vs 7.8%). Having two or more genetic factors was strongly associated with increased odds of early lethal disease (odds ratio [OR], 3.5; 95% confidence interval [CI], 1.8-7.0) and linked to higher 10-yr lethal disease risks in high-risk localized patients diagnosed before the age of 75 yr. Healthy men with none of the genetic factors had the lowest odds of early lethal disease (OR, 0.3: 95% CI, 0.1-0.7), compared with unhealthy men with any genetic factor. The pattterns were similar for early fatal disease. The study had limited data for more detailed analyses. CONCLUSIONS AND CLINICAL IMPLICATIONS: The combination of family history with rare variants, a PRS, and lifestyle factors may improve the identification of prostate cancer patients at risk of early lethal and fatal disease.

Indexed as

DNA RepairLife StyleProstatic NeoplasmsAgedAged, 80 and overGenetic Predisposition to DiseaseGenetic Risk ScoreHumansMaleMedical History TakingMiddle AgedMultifactorial InheritanceProspective StudiesRisk AssessmentRisk FactorsDNA repairHealthy lifestylePolygenic risk scoreProstate cancerSurvival

Identifiers

PMID40187970
PMCPMC12828329

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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.