Evidence map›Paper›PMID 22144497›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2012

Assessing the clinical role of genetic markers of early-onset prostate cancer among high-risk men enrolled in prostate cancer early detection.

Lucinda Hughes, Fang Zhu, Eric Ross, Laura Gross, Robert G Uzzo, David Y T Chen, Rosalia Viterbo, Timothy R Rebbeck, Veda N Giri

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In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 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

9 authors at 2 institutions in 1 country.

Lucinda HughesDepartment of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.
Fang Zhu
Eric Ross
Laura Gross
Robert G Uzzo
David Y T Chen
Rosalia Viterbo
Timothy R Rebbeck
Veda N Giri
University of Pennsylvania · USFox Chase Cancer Center · US

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Margaret von Mehren · 1985 to 2026
$138.8M
Clinical Utility of Genetic Markers Associated with Early Onset Prostate CancerR03CA150079 · NCI · FOX CHASE CANCER CENTER · PI GIRI, VEDA N. · 2010 to 2011
$172k
NCI NIH HHS 1R03CA150079-01NCI NIH HHS P30 CA006927NCI NIH HHS R03 CA150079
6 · The paper itself

Abstract

backgroundMen with familial prostate cancer and African American men are at risk for developing prostate cancer at younger ages. Genetic markers predicting early-onset prostate cancer may provide clinically useful information to guide screening strategies for high-risk men. We evaluated clinical information from six polymorphisms associated with early-onset prostate cancer in a longitudinal cohort of high-risk men enrolled in prostate cancer early detection with significant African American participation.

methodsEligibility criteria include ages 35 to 69 with a family history of prostate cancer or African American race. Participants undergo screening and biopsy per study criteria. Six markers associated with early-onset prostate cancer [rs2171492 (7q32), rs6983561 (8q24), rs10993994 (10q11), rs4430796 (17q12), rs1799950 (17q21), and rs266849 (19q13)] were genotyped. Cox models were used to evaluate time to prostate cancer diagnosis and prostate-specific antigen (PSA) prediction for prostate cancer by genotype. Harrell's concordance index was used to evaluate predictive accuracy for prostate cancer by PSA and genetic markers.

resultsFour hundred and sixty participants with complete data and ≥ 1 follow-up visit were included. Fifty-six percent were African American. Among African American men, rs6983561 genotype was significantly associated with earlier time to prostate cancer diagnosis (P = 0.005) and influenced prediction for prostate cancer by the PSA (P < 0.001). When combined with PSA, rs6983561 improved predictive accuracy for prostate cancer compared with PSA alone among African American men (PSA = 0.57 vs. PSA + rs6983561 = 0.75, P = 0.03).

conclusionsEarly-onset marker rs6983561 adds potentially useful clinical information for African American men undergoing prostate cancer risk assessment. Further study is warranted to validate these findings. IMPACT: Genetic markers of early-onset prostate cancer have potential to refine and personalize prostate cancer early detection for high-risk men.

Indexed as

AdultAgedBiomarkers, TumorBiopsyBlack or African AmericanCohort StudiesEarly Detection of CancerGenetic MarkersGenetic Predisposition to DiseaseGenotypeHumansLongitudinal StudiesMaleMiddle AgedPolymorphism, Single NucleotideProstate-Specific AntigenBiomarkers, TumorGenetic MarkersProstate-Specific Antigen

Identifiers

PMID22144497
PMCPMC3253936
OpenAlexW2117153704

What OpenQuestion holds

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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.