Evidence map›Paper›PMID 25273821›Full record

ArticleInternational journal of cancer2015

Confirmation of genetic variants associated with lethal prostate cancer in a cohort of men from hereditary prostate cancer families.

Danielle M Karyadi, Shanshan Zhao, Qianchuan He, Laura McIntosh, Jonathan L Wright, Elaine A Ostrander, Ziding Feng, Janet L Stanford

Abstract read
In one paragraph

Article in International journal of cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 18 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

8 authors at 4 institutions in 1 country.

Danielle M KaryadiCancer Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD.
Shanshan Zhao
Qianchuan He
Laura McIntosh
Jonathan L Wright
Elaine A Ostrander
Ziding Feng
Janet L Stanford
Fred Hutch Cancer Center · USCancer Genetics (United States) · USThe University of Texas MD Anderson Cancer Center · USUniversity of Washington · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Finding Genes for Human Prostate CancerZIAHG200325 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI OSTRANDER, ELAINE · 2009 to 2021
$17.7M
GENETIC EPIDEMIOLOGY OF PROSTATE CANCERR01CA080122 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI STANFORD, JANET L · 1999 to 2008
$3.8M
Application of Statistical Methods in Epidemiology StudiesZIAES103308 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI ZHAO, SHANSHAN · 2015 to 2025
$2.2M
Aggressive Prostate Cancer: Linking Epigenomics and Genetics for PreventionK05CA175147 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI STANFORD, JANET L · 2014 to 2018
$445k
Intramural NIH HHSNCI NIH HHS K05 CA175147NCI NIH HHS R01 CA080122
6 · The paper itself

Abstract

Germline genetic variants have been suggested as prognostic biomarkers for identifying patients at high risk for lethal prostate cancer (PCa). Validation studies have confirmed the association of several single nucleotide polymorphisms (SNPs) with fatal PCa, but whether these variants affect PCa-specific mortality (PCSM) in patients with an inherited predisposition to PCa, based on familial history, is unknown. For this study, a cohort of 957 PCa patients from 270 hereditary prostate cancer families of European ancestry was genotyped for a panel of 22 PCSM-associated SNPs. Death certificates were reviewed to confirm cause of death. Mixed-effect Cox proportional hazards models were used to assess survival according to genotypes, accounting for relatedness and clinicopathological factors. Within this cohort, 98 PCa deaths were confirmed over an average follow-up period of 12.7 years after diagnosis. Variant allele carriers for three SNPs had significantly altered risk for PCSM [rs635261 at RNASEL, hazard ratio (HR), 0.35, 95% CI, 0.18-0.66; p = 0.002; rs915927 in XRCC1, HR, 1.91, 95% CI, 1.21-3.02; p = 0.009; and rs2494750 at AKT1, HR, 0.45, 95% CI, 0.23-0.90; p = 0.016). These results confirm the association of genetic variation in three genes with PCa lethality in a cohort of men with an inherited susceptibility to the disease and provide validation evidence that germline SNPs provide prognostic information for PCa patients. Development of a panel of germline biomarkers with clinical utility for distinguishing patients at detection who have an increased risk for fatal PCa is warranted.

Indexed as

AdultAgedAged, 80 and overAllelesGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotidePrognosisProstatic NeoplasmsRisk FactorsWhite PeopleAKT1hereditary prostate cancermortalityRNASELSNPsXRCC1

Identifiers

PMID25273821
PMCPMC4331209
OpenAlexW1798800694

What OpenQuestion holds

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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.