Evidence map›Paper›PMID 40134022›Full record

ReviewHereditary cancer in clinical practice2025

Prostate Cancer: genetics in practice now and in the future.

Jana McHugh, Elizabeth Bancroft, Zsofia Kote-Jarai, Rosalind Eeles

Abstract readReview
In one paragraph

Review in Hereditary cancer in clinical practice, 2025. 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. Genetic testing practices among specialist physicians who treat prostate cancer Updated survey of Canadian practitioners.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2026
    Article
  2. Polygenic risk scores in cancer.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    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

4 authors.

Jana McHughThe Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK. jana.mchugh@icr.ac.uk.
Elizabeth BancroftThe Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK.
Zsofia Kote-JaraiThe Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK.
Rosalind EelesThe Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate Cancer (PrCa) is one of the most common cancers worldwide and causes a significant healthcare burden. Recent predictions estimate the incidence of new cases of PrCa will double from 1.4 million in 2020 to 2.9 million by 2040.The known risk factors for PrCa are increasing age, family history, ancestry and genetics. PrCa is one of the most heritable of the more common cancers. The heritability of PrCa is due to both rare moderate to high-risk monogenic variants and more common variants known as single nucleotide polymorphisms (SNPs) which can be used to calculate a polygenic risk score (PRS) for PrCa, while there is some of the genetic risk as yet unexplained. In recent years more PrCa risk-associated SNPs have been identified, increasing over time with the inclusion of more persons of diverse ancestry in studies. The identification of germline variants known to be associated with increased PrCa risk and disease aggressiveness has led to targeted treatments for certain pathogenic variant carriers.This is a mini review of how the genetics of PrCa can impact on screening and early detection of the disease and the treatment and management of the disease when diagnosed.

Identifiers

PMID40134022
PMCPMC11938723

What OpenQuestion holds

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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.