Evidence map›Paper›PMID 38458890›Full record

ArticleEuropean urology oncology2024

Identification of Genes with Rare Loss of Function Variants Associated with Aggressive Prostate Cancer and Survival.

Edward J Saunders, Tokhir Dadaev, Mark N Brook, Sarah Wakerell, Koveela Govindasami, Reshma Rageevakumar, Nafisa Hussain, Andrea Osborne, Diana Keating, Artitaya Lophatananon and 8 more

Open access · hybridAbstract read
In one paragraph

Article in European urology oncology, 2024. 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
1.6field-weighted citation impact, top 17% 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, 7 citations in OpenAlex.

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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

18 authors at 5 institutions in 2 countries.

Edward J SaundersDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Tokhir DadaevDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Mark N BrookDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Sarah WakerellDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Koveela GovindasamiDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Reshma RageevakumarDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Nafisa HussainDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Andrea OsborneDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Diana KeatingDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Artitaya LophatananonDivision of Population Health, University of Manchester, Manchester, UK.
Kenneth R MuirDivision of Population Health, University of Manchester, Manchester, UK.
UKGPCS Collaborators
Burcu F DarstCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA; Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
David V ContiCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Christopher A HaimanCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Antonis C AntoniouDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Rosalind A EelesDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK; The Royal Marsden NHS Foundation Trust, London, UK.
Zsofia Kote-JaraiDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK. Electronic address: Zsofia.Kote-Jarai@icr.ac.uk.
Institute of Cancer Research · GBUniversity of Manchester · GBUniversity of Southern California · USFred Hutch Cancer Center · USUniversity of Cambridge · GB

Funding

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
Multiethnic GWAS and TWAS to Inform Risk Prediction for Prostate CancerU01CA257328 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CONTI, DAVID V, HAIMAN, CHRISTOPHER ALAN · 2021 to 2025
$3.1M
The Genetic Basis of Aggressive Prostate Cancer: The Role of Rare VariationR01CA196931 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HAIMAN, CHRISTOPHER ALAN, KOTE-JARAI, ZSOFIA · 2016 to 2020
$2.7M
Family RESPOND: Defining the Genetic Basis of Prostate Cancer Risk in African American FamiliesR01CA289492 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jennifer L Beebe-Dimmer, David V Conti · 2025 to 2026
$1.4M
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 R00 CA246063NCI NIH HHS R01 CA196931NCI NIH HHS R01 CA289492NCI NIH HHS U01 CA257328NCI NIH HHS U01 CA261339
6 · The paper itself

Abstract

backgroundProstate cancer (PrCa) is a substantial cause of mortality among men globally. Rare germline mutations in BRCA2 have been validated robustly as increasing risk of aggressive forms with a poorer prognosis; however, evidence remains less definitive for other genes.

objectiveTo detect genes associated with PrCa aggressiveness, through a pooled analysis of rare variant sequencing data from six previously reported studies in the UK Genetic Prostate Cancer Study (UKGPCS). DESIGN, SETTING, AND

participantsWe accumulated a cohort of 6805 PrCa cases, in which a set of ten candidate genes had been sequenced in all samples. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We examined the association between rare putative loss of function (pLOF) variants in each gene and aggressive classification (defined as any of death from PrCa, metastatic disease, stage T4, or both stage T3 and Gleason score ≥8). Secondary analyses examined staging phenotypes individually. Cox proportional hazards modelling and Kaplan-Meier survival analyses were used to further examine the relationship between mutation status and survival. RESULTS AND LIMITATIONS: We observed associations between PrCa aggressiveness and pLOF mutations in ATM, BRCA2, MSH2, and NBN (odds ratio = 2.67-18.9). These four genes and MLH1 were additionally associated with one or more secondary analysis phenotype. Carriers of germline mutations in these genes experienced shorter PrCa-specific survival (hazard ratio = 2.15, 95% confidence interval 1.79-2.59, p = 4 × 10

conclusionsThis study provides further support that rare pLOF variants in specific genes are likely to increase aggressive PrCa risk and may help define the panel of informative genes for screening and treatment considerations. PATIENT SUMMARY: By combining data from several previous studies, we have been able to enhance knowledge regarding genes in which inherited mutations would be expected to increase the risk of more aggressive PrCa. This may, in the future, aid in the identification of men at an elevated risk of dying from PrCa.

Indexed as

Prostatic NeoplasmsGenes, BRCA2HumansMaleMutationProstateAggressive prostate cancerDNA repair genesGermline prognostic markersProstate cancerProstate cancer survival

Identifiers

PMID38458890
PMCPMC12124132
OpenAlexW4392542795

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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.