Evidence map›Paper›PMID 34830967›Full record

ArticleCancers2021

A Polygenic Risk Score Predicts Incident Prostate Cancer Risk in Older Men but Does Not Select for Clinically Significant Disease.

Andrew Bakshi, Moeen Riaz, Suzanne G Orchard, Prudence R Carr, Amit D Joshi, Yin Cao, Richard Rebello, Tú Nguyen-Dumont, Melissa C Southey, Jeremy L Millar and 7 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Multi-organ imaging-derived polygenic indexes for brain and body health.medRxiv : the preprint server for health sciences · 2024
    Article
  6. Article
  7. A polygenic two-hit hypothesis for prostate cancer.Journal of the National Cancer Institute · 2023
    Article
  8. 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

17 authors at 6 institutions in 2 countries.

Andrew BakshiDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Moeen RiazDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.
Suzanne G OrchardDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.ORCID 0000-0003-0211-3183
Prudence R CarrDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.ORCID 0000-0001-5671-7236
Amit D JoshiClinical and Translational Epidemiology Unit, MGH Cancer Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02108, USA.
Yin CaoAlvin J. Siteman Cancer Center, Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA.
Richard RebelloCentre for Cancer Research, Department of Clinical Pathology, University of Melbourne, Melbourne, VIC 3010, Australia.
Tú Nguyen-DumontPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC 3168, Australia.ORCID 0000-0002-6217-0182
Melissa C SoutheyPrecision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC 3168, Australia.
Jeremy L MillarDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.ORCID 0000-0001-8202-8602
Lucy GatelyPersonalised Oncology Division, Walter and Eliza Hall Institute Medical Research, Faculty of Medicine, University of Melbourne, Melbourne, VIC 3052, Australia.
Peter GibbsPersonalised Oncology Division, Walter and Eliza Hall Institute Medical Research, Faculty of Medicine, University of Melbourne, Melbourne, VIC 3052, Australia.
Leslie G FordDivision of Cancer Prevention, National Cancer Institute, Rockville, MD 20892, USA.
Howard L ParnesDivision of Cancer Prevention, National Cancer Institute, Rockville, MD 20892, USA.
Andrew T ChanClinical and Translational Epidemiology Unit, MGH Cancer Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02108, USA.
John J McNeilDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.ORCID 0000-0002-1049-5129
Paul LacazeDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia.ORCID 0000-0002-0902-6798
Monash University · AUThe University of Melbourne · AUHarvard University · USNational Cancer Institute · USAlfred Health · AUWashington University in St. Louis · US

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lona Mody, RAYMOND L YUNG · 2004 to 2026
$29.2M
Recombinant and Chemo-/Bio-Orthogonal Synthesis of Liposomal ThrombomodulinR01HL102604 · NHLBI · CLEVELAND STATE UNIVERSITY · PI SUN, XUE-LONG · 2010 to 2013
$1.2M
GYNECOLOGIC ONCOLOGY GROUPR03CA062682 · NCI · AMERICAN COLLEGE OF OB AND GYN · PI PARK, ROBERT C · 1995 to 1996
–
ASPREE Flagship cluster grant (including the Common-wealth Scientific and Industrial Research Organisation, Monash University, Menzies Research In-stitute, Australian National University, University of Melbourne) NANational Heart Foundation Future Leader Fellowship ID 102604NCI Outstanding Investigator Award R35 CA253185 and K07CA218377NHMRC Leadership Fellowship Investigator Grant ID 1173690NIA NIH HHS P30 AG024824the National Health and Medical Research Council of Australia, and by Monash University and the Victorian Cancer Agency 334047 and 1127060the National Institute on Aging and the National Cancer Institute at the Na-tional Institutes of Health U01AG029824 and U19AG062682
6 · The paper itself

Abstract

Despite the high prevalence of prostate cancer in older men, the predictive value of a polygenic risk score (PRS) remains uncertain in men aged ≥70 years. We used a 6.6 million-variant PRS to predict the risk of incident prostate cancer in a prospective study of 5701 men of European descent aged ≥70 years (mean age 75 years) enrolled in the ASPirin in Reducing Events in the Elderly (ASPREE) clinical trial. The study endpoint was prostate cancer, including metastatic or non-metastatic disease, confirmed by an expert panel. After excluding participants with a history of prostate cancer at enrolment, we used a multivariable Cox proportional hazards model to assess the association between the PRS and incident prostate cancer risk, adjusting for covariates. Additionally, we examined the distribution of Gleason grade groups by PRS group to determine if a higher PRS was associated with higher grade disease. We tested for interaction between the PRS and aspirin treatment. Logistic regression was used to independently assess the association of the PRS with prevalent (pre-trial) prostate cancer, reported in medical histories. During a median follow-up time of 4.6 years, 218 of the 5701 participants (3.8%) were diagnosed with prostate cancer. The PRS predicted incident risk with a hazard ratio (HR) of 1.52 per standard deviation (SD) (95% confidence interval (CI) 1.33-1.74,

Indexed as

Gleason gradepolygenic risk scoreprostate cancer

Identifiers

PMID34830967
PMCPMC8616400
OpenAlexW3216584071

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.