Evidence map›Paper›PMID 22522501›Full record

ReviewAsian journal of andrology2012

The role of BRCA1 and BRCA2 in prostate cancer.

Elena Castro, Rosalind Eeles

Open access · goldAbstract readReview
In one paragraph

Review in Asian journal of andrology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 4% 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

91 citing papers in PubMed, 2 syntheses or guidelines pooled it, 163 citations in OpenAlex.

  1. Pooled it
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  16. Biomarkers for Prostate Cancer: From Diagnosis to Treatment.Diagnostics (Basel, Switzerland) · 2023
    Review
  17. Article
  18. Review
  19. Article
  20. Article

31 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Elena CastroOncogenetics Team, The Institute of Cancer Research, Sutton, UK.
Rosalind Eeles
Institute of Cancer Research · GB

Funding

Epidemiological and Clinical Translational Studies Post Genome-Wide AssociationU19CA148537 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI EASTON, DOUGLAS FREDERICK, EELES, ROSALIND · 2010 to 2014
$10.4M
Cancer Research UK UK A13232Cancer Research UK UK C5047NCI NIH HHS U19 CA148537NCI NIH HHS U19 CA 148537-01
6 · The paper itself

Abstract

One of the strongest risk factors for prostate cancer is a family history of the disease. Germline mutations in the breast cancer predisposition gene 2 (BRCA2) are the genetic events known to date that confer the highest risk of prostate cancer (8.6-fold in men ≤65 years). Although the role of BRCA2 and BRCA1 in prostate tumorigenesis remains unrevealed, deleterious mutations in both genes have been associated with more aggressive disease and poor clinical outcomes. The increasing incidence of prostate cancer worldwide supports the need for new methods to predict outcome and identify patients with potentially lethal forms of the disease. As we present here, BRCA germline mutations, mainly in the BRCA2 gene, are one of those predictive factors. We will also discuss the implications of these mutations in the management of prostate cancer and hypothesize on the potential for the development of strategies for sporadic cases with similar characteristics.

Indexed as

Genetic Predisposition to DiseaseGerm-Line MutationBiomarkers, TumorBRCA2 ProteinHumansMaleProstatic NeoplasmsRisk FactorsUbiquitin-Protein LigasesBiomarkers, TumorBRAP protein, humanBRCA2 ProteinBRCA2 protein, humanUbiquitin-Protein Ligases

Identifiers

PMID22522501
PMCPMC3720154
OpenAlexW2034024919

What OpenQuestion holds

Textmetadata
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.