Evidence map›Paper›PMID 29923209›Full record

ArticleThe Prostate2018

Differences in inherited risk among relatives of hereditary prostate cancer patients using genetic risk score.

Brian T Helfand, Haitao Chen, Richard J Fantus, Carly A Conran, Charles B Brendler, Siquan Lilly Zheng, Patrick C Walsh, William B Isaacs, Jianfeng Xu

Abstract read
In one paragraph

Article in The Prostate, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Risk of Prostate Cancer Associated With Familial and Hereditary Cancer Syndromes.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2020
    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

9 authors at 4 institutions in 2 countries.

Brian T HelfandDivision of Urology, John and Carol Walter for Urologic Health, NorthShore University HealthSystem, Evanston, Illinois.
Haitao ChenSchool of Public Health, Fudan University, Center for Genomic Translational Medicine and Prevention, Shanghai, P.R. China.
Richard J FantusDepartment of Surgery, Section of Urology, University of Chicago Medical Center, University of Chicago, Chicago, Illinois.ORCID http://orcid.org/0000-0002-7529-511X
Carly A ConranDivision of Urology, John and Carol Walter for Urologic Health, NorthShore University HealthSystem, Evanston, Illinois.
Charles B BrendlerDivision of Urology, John and Carol Walter for Urologic Health, NorthShore University HealthSystem, Evanston, Illinois.
Siquan Lilly ZhengDivision of Urology, John and Carol Walter for Urologic Health, NorthShore University HealthSystem, Evanston, Illinois.
Patrick C WalshDepartment of Urology, James Buchanan Brady Urological Institute, Johns Hopkins, Baltimore, Maryland.
William B IsaacsDepartment of Urology, James Buchanan Brady Urological Institute, Johns Hopkins, Baltimore, Maryland.ORCID http://orcid.org/0000-0001-6599-6775
Jianfeng XuDivision of Urology, John and Carol Walter for Urologic Health, NorthShore University HealthSystem, Evanston, Illinois.ORCID http://orcid.org/0000-0002-9419-6627
NorthShore University HealthSystem · USJohns Hopkins Hospital · USFudan University · CNUniversity of Chicago Medical Center · US

Funding

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
NCI NIH HHS P50 CA180995
6 · The paper itself

Abstract

purposeFamily history assigns equivalent risk to all relatives based upon the degree of relationship. Recent genetic studies have identified single nucleotide polymorphisms (SNPs) that can be used to calculate a genetic risk score (GRS) to determine prostate cancer (PCa) risk. We sought to determine whether GRS can stratify PCa risk among individuals in families considered to be at higher risk due their family history of PCa. MATERIALS AND

methodsFamily members with hereditary PCa were recruited and genotyped for 17 SNPs associated with PCa. A GRS was calculated for all subjects. Analyses compared the distribution of GRS values among affected and unaffected family members of varying relationship degrees.

resultsData was available for 789 family members of probands including 552 affected and 237 unaffected relatives. Median GRSs were higher among first-degree relatives compared to second- and third-degree relatives. In addition, GRS values among affected first- and second-degree relatives were significantly higher than unaffected relatives (P = 0.042 and P = 0.016, respectively). Multivariate analysis including GRS and degree of relationship demonstrated that GRS was a significant and independent predictor of PCa (OR 1.52, 95%CI 1.15-2.01).

conclusionGRS is an easy-to-interpret, objective measure that can be used to assess differences in PCa risk among family members of affected men. GRS allows for further differentiation among family members, providing better risk assessment. While prospective validation studies are required, this information can help guide relatives in regards to the time of initiation and frequency of PCa screening.

Indexed as

cancer screeningfamily historygenetic risk scoreprostate cancer

Identifiers

PMID29923209
PMCPMC6773522
OpenAlexW2809139858

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.