Evidence map›Paper›PMID 24796687›Full record

ArticleThe Prostate2014

Identification of specific Y chromosomes associated with increased prostate cancer risk.

Lisa A Cannon-Albright, James M Farnham, Matthew Bailey, Frederick S Albright, Craig C Teerlink, Neeraj Agarwal, Robert A Stephenson, Alun Thomas

Abstract read
In one paragraph

Article in The Prostate, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. 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

8 authors.

Lisa A Cannon-AlbrightDivision of Genetic Epidemiology, Department of Medicine, University of Utah School of Medicine, Salt Lake City, Utah; George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, Utah; Huntsman Cancer Institute, Salt Lake City, Utah.
James M Farnham
Matthew Bailey
Frederick S Albright
Craig C Teerlink
Neeraj Agarwal
Robert A Stephenson
Alun Thomas

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
Prostate Cancer Susceptibility: The ICPCG StudyU01CA089600 · NCI · MAYO CLINIC ROCHESTER · PI THIBODEAU, STEPHEN NORMAN · 2002 to 2016
$27.3M
NCI NIH HHS HHSN261201000026CNCI NIH HHS P30 CA042014NCI NIH HHS P30 CA42014NCI NIH HHS R01 CA89600NCI NIH HHS U01 CA089600
6 · The paper itself

Abstract

backgroundEvidence supports the possibility of a role of the Y chromosome in prostate cancer, but controversy exists.

methodsA novel analysis of a computerized population-based resource linking genealogy and cancer data was used to test the hypothesis of a role of the Y chromosome in prostate cancer predisposition. Using a statewide cancer registry from 1966 linked to a computerized genealogy representing over 1.2 million descendants of the Utah pioneers, 1,000 independent sets of males, each set hypothesized to share the same Y chromosome as represented in genealogy data, were tested for a significant excess of prostate cancer.

resultsMultiple Y chromosomes representing thousands of potentially at-risk males were identified to have a significant excess risk for prostate cancer.

conclusionsThis powerful and efficient in silico test of an uncommon mode of inheritance has confirmed evidence for Y chromosome involvement in prostate cancer.

Indexed as

Chromosomes, Human, YCohort StudiesGenetic Predisposition to DiseaseGenotypeHumansMalePedigreeProstatic NeoplasmsUtahprostate cancerUPDBY chromosome

Identifiers

PMID24796687
PMCPMC4109644

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.