Evidence map›Paper›PMID 23320731›Full record

ArticleBJU international2013

Clinical implications of family history of prostate cancer and genetic risk single nucleotide polymorphism (SNP) profiles in an active surveillance cohort.

Chee L Goh, Edward J Saunders, Daniel A Leongamornlert, Malgorzata Tymrakiewicz, Karen Thomas, Elizabeth D Selvadurai, Ruth Woode-Amissah, Tokhir Dadaev, Nadiya Mahmud, Elena Castro and 12 more

Abstract read
In one paragraph

Article in BJU international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
–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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Active surveillance for intermediate-risk prostate cancer.Prostate cancer and prostatic diseases · 2017
    Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Complexities of Prostate Cancer.International journal of molecular sciences · 2022
    Review
  8. Article
  9. Prostate cancer.Nature reviews. Disease primers · 2021
    Review
  10. Personalized Decision Making for Biopsies in Prostate Cancer Active Surveillance Programs.Medical decision making : an international journal of the Society for Medical Decision Making · 2019
    Article
  11. Review
  12. Article
  13. How Sensitive Is Genetic Data?Biopreservation and biobanking · 2017
    Article
  14. Prostate Cancer: Is It a Battle Lost to Age?Geriatrics (Basel, Switzerland) · 2016
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review
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

22 authors.

Chee L GohOncogenetics team, The Institute of Cancer Research.
Edward J Saunders
Daniel A Leongamornlert
Malgorzata Tymrakiewicz
Karen Thomas
Elizabeth D Selvadurai
Ruth Woode-Amissah
Tokhir Dadaev
Nadiya Mahmud
Elena Castro
David Olmos
Michelle Guy
Koveela Govindasami
Lynne T O'Brien
Amanda L Hall
Rosemary A Wilkinson
Emma J Sawyer
Ali Amin Al Olama
Douglas F Easton
Zsofia Kote-Jarai
Chris C Parker
Rosalind A Eeles

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 10118Cancer Research UK 10588Cancer Research UK 11022Cancer Research UK 15007Cancer Research UK C5047/A8385NCI NIH HHS U19 CA148537NCI NIH HHS U19CA148537
6 · The paper itself

Abstract

objectivesTo explore the potential prognostic role of family history (FH) of prostate cancer and prostate cancer risk single nucleotide polymorphisms (SNPs) in patients undergoing active surveillance (AS) for prostate cancer. This is the first study to date, which has investigated the potential prognostic role of SNP profiles in an AS cohort PATIENTS AND

methodsFH data were collected from patients in the Royal Marsden Hospital AS study. In all, 39 prostate cancer-risk SNPs identified from published genome wide association studies (GWAS) were genotyped using the Sequenom Platform and TaqMan™ assays from available DNA. The cumulative genetic-risk scores for each patient were then calculated using the weighted effect estimated from previous GWAS (log-additive model). FH status and the genetic-risk scores were assessed against adverse outcomes in AS, time to treatment and adverse histology on repeat biopsy, using univariable and multivariable Cox regression models to address time to treatment; and binary logistic regression to address biopsy upgrade.

resultsOf 471 patients, 55 (13.6%) had adverse histology on repeat biopsies and 145 (30.8%) had deferred treatment. On univariate analysis, there was no significant relationship between FH of prostate cancer in any degree of relation, and adverse histology or time to treatment. For risk score analyses, 386 patients' DNA was studied; and there was also no relationship found between the calculated genetic risk scores and adverse histology or time to treatment (P = 0.573 and P = 0.965, respectively). The retrospective study design and the few events were the main limitation of the study.

conclusionsThere is currently insufficient data to support the use of FH status or prostate cancer SNP profile risk scores as prognostic factors in AS and these should not be used to influence management decisions. As more genetic variants are discovered this may change and should be reassessed in multicentre AS cohorts.

Indexed as

Polymorphism, Single NucleotideAgedFamilyGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedPrognosisProstatic NeoplasmsRetrospective StudiesRisk AssessmentSentinel SurveillanceUnited Kingdomactive surveillancefamily historygenetic risk profilesprostate cancer

Identifiers

PMID23320731
PMCPMC3633604

What OpenQuestion holds

Textmetadata
LicenceTDM
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.