Evidence map›Paper›PMID 36567534›Full record

ArticleThe Prostate2023

Association of rare, recurrent nonsynonymous variants in the germline of prostate cancer patients of African ancestry.

Jun Wei, Jennifer Beebe-Dimmer, Zhuqing Shi, Christopher Sample, Guifang Yan, Andrew S Rifkin, Azita Sadeghpour, Marta Gielzak, Sodam Choi, David Moon and 6 more

Abstract read
In one paragraph

Article in The Prostate, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
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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

16 authors.

Jun WeiProgram for Personalized Cancer Care, NorthShore University Health System, Evanston, Illinois, USA.
Jennifer Beebe-DimmerBarabara Ann Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan, USA.
Zhuqing ShiProgram for Personalized Cancer Care, NorthShore University Health System, Evanston, Illinois, USA.
Christopher SampleDepartment of Medicine, Duke University School of Medicine and Duke Cancer Institute, Durham, North Carolina, USA.
Guifang YanDepartment of Urology, The Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Andrew S RifkinProgram for Personalized Cancer Care, NorthShore University Health System, Evanston, Illinois, USA.
Azita SadeghpourDepartment of Medicine, Duke University School of Medicine and Duke Cancer Institute, Durham, North Carolina, USA.
Marta GielzakDepartment of Urology, The Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Sodam ChoiDepartment of Urology, The Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
David MoonDepartment of Medicine, Duke University School of Medicine and Duke Cancer Institute, Durham, North Carolina, USA.
S Lilly ZhengProgram for Personalized Cancer Care, NorthShore University Health System, Evanston, Illinois, USA.
Brian T HelfandProgram for Personalized Cancer Care, NorthShore University Health System, Evanston, Illinois, USA.
Patrick C WalshDepartment of Urology, The Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Jianfeng XuProgram for Personalized Cancer Care, NorthShore University Health System, Evanston, Illinois, USA.ORCID 0000-0002-9419-6627
Kathleen A CooneyDepartment of Medicine, Duke University School of Medicine and Duke Cancer Institute, Durham, North Carolina, USA.
William B IsaacsDepartment of Urology, The Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI Julie Lynn Boerner · 1985 to 2026
$68.4M
Medical Research Council MC_PC_17228NCI NIH HHS P30 CA022453U.S. Department of Defense W81XWH-16-1-0713U.S. Department of Defense W81XWH-16-1-0764U.S. Department of Defense W81XWH-16-1-0765U.S. Department of Defense W81XWH-16-1-0766
6 · The paper itself

Abstract

backgroundAlthough men of African ancestry (AA) have the highest mortality rate from prostate cancer (PCa), relatively little is known about the germline variants that are associated with PCa risk in AA men. The goal of this study is to systematically evaluate rare, recurrent nonsynonymous variants across the exome for their association with PCa in AA men.

methodsWhole exome sequencing (WES) of germline DNA in two AA PCa patient cohorts of Johns Hopkins Hospital (N = 960) and Wayne State University (N = 747) was performed. All nonsynonymous variants present in both case cohorts, with a carrier rate between 0.5% and 1%, were identified. Their carrier rates were compared with rates from 8128 African/African American (AFR) control subjects from The Genome Aggregation Database (gnomAD) using Fisher's exact test. Significant variants, defined as false discovery rate (FDR) adjusted p-value ≤ 0.05, were further evaluated in AA PCa cases (N = 132) and controls (N = 1184) from the UK Biobank (UKB).

resultsTwo variants reached a pre-specified statistical significance level. The first was p.R14Q in GPRC5C (found in 0.47% of PCa cases and 0.01% of population controls); odds ratio (OR) for PCa was 37.46 (95% confidence interval CI 4.68-299.72), p

conclusionsThis WES study identified two rare, recurrent nonsynonymous PCa risk-associated variants in AA. Confirmation in additional large populations of AA PCa cases and controls is required.

Indexed as

Germ-Line MutationProstatic NeoplasmsBlack or African AmericanBlack PeopleGerm CellsHeterozygoteHumansMaleAfrican ancestry (AA)germlinenonsynonymous mutationprostate cancerwhole exome sequencing (WES)

Identifiers

PMID36567534
PMCPMC11908508

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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.