Evidence map›Paper›PMID 24891551›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2014

Performance of the Genomic Evaluators of Metastatic Prostate Cancer (GEMCaP) tumor biomarker for identifying recurrent disease in African American patients.

Albert M Levin, Karla J Lindquist, Andrew Avila, John S Witte, Pamela L Paris, Benjamin A Rybicki

Open access · greenAbstract read
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, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 6 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

6 authors at 3 institutions in 1 country.

Albert M LevinDepartment of Public Health Sciences, Henry Ford Health System, Detroit, Michigan;
Karla J LindquistDepartment of Epidemiology and Biostatistics; and.
Andrew AvilaDepartment of Urology, Helen Diller Family Comprehensive Cancer Center, University of California at San Francisco, San Francisco, California.
John S WitteDepartment of Epidemiology and Biostatistics; and.
Pamela L ParisDepartment of Urology, Helen Diller Family Comprehensive Cancer Center, University of California at San Francisco, San Francisco, California brybick1@hfhs.org pparis@cc.ucsf.edu.
Benjamin A RybickiDepartment of Public Health Sciences, Henry Ford Health System, Detroit, Michigan; brybick1@hfhs.org pparis@cc.ucsf.edu.
Cancer Research And Biostatistics · USHenry Ford Health System · USUCSF Helen Diller Family Comprehensive Cancer Center · US

Funding

GENE-ENVIRONMENT INTERACTION IN PROSTATE CANCERR01ES011126 · NIEHS · HENRY FORD HEALTH SYSTEM · PI RYBICKI, BENJAMIN A. · 2000 to 2017
$8.0M
Training in Molecular& Genetic Epidemiology of CancerR25CA112355 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTE, JOHN S. · 2005 to 2018
$6.5M
Genetic Epidemiology of Prostate Cancer Risk and ProgressionR01CA088164 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VAN DEN EEDEN, STEPHEN K., WITTE, JOHN S. · 2000 to 2015
$6.1M
Genomewide Association Study of Prostate CancerU01CA127298 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTE, JOHN S. · 2008 to 2012
$5.1M
Training in the Molecular & Genetic Epidemiology of CancerT32CA112355 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHENG, IONA C, ZIV, ELAD · 2020 to 2024
$1.8M
NCI NIH HHS CA088164NCI NIH HHS CA112355NCI NIH HHS CA127298NCI NIH HHS R01 CA088164NCI NIH HHS R25 CA112355NCI NIH HHS T32 CA112355NCI NIH HHS U01 CA127298NIEHS NIH HHS R01 ES011126
6 · The paper itself

Abstract

Evaluation of prostate cancer prognosis after surgery is increasingly relying upon genomic analyses of tumor DNA. We assessed the ability of the biomarker panel Genomic Evaluators of Metastatic Prostate Cancer (GEMCaP) to predict biochemical recurrence in 33 European American and 28 African American prostate cancer cases using genome-wide copy number data from a previous study. "Biomarker positive" was defined as ≥20% of the 38 constituent copy number gain/loss GEMCaP loci affected in a given tumor; based on this threshold, the frequency of a positive biomarker was significantly lower in African Americans (n = 2; 7%) than European Americans (n = 11; 33%; P = 0.013). GEMCaP positivity was associated with risk of recurrence [hazard ratio (HR), 5.92; 95% confidence interval (CI), 2.32-15.11; P = 3 × 10(-4)] in the full sample and among European Americans (HR, 3.45; 95% CI, 1.13-10.51; P = 0.032) but was not estimable in African Americans due to the low rate of GEMCaP positivity. Overall, the GEMCaP recurrence positive predictive value (PPV) was 85%; in African Americans, PPV was 100%. When we expanded the definition of loss to include copy-neutral loss of heterozygosity (i.e., loss of one allele with concomitant duplication of the other), recurrence PPV was 83% for European American subjects. Under this definition, 5 African American subjects had a positive GEMCaP test value; 4 went on to develop biochemical recurrence (PPV = 80%). Our results suggest that the GEMCaP biomarker set could be an effective predictor for both European American and African American men diagnosed with localized prostate cancer who may benefit from immediate aggressive therapy after radical prostatectomy.

Indexed as

Biomarkers, TumorBlack or African AmericanGene DosageGenomicsHumansMaleMiddle AgedNeoplasm MetastasisNeoplasm Recurrence, LocalPolymorphism, Single NucleotidePrognosisProstatic NeoplasmsBiomarkers, Tumor

Identifiers

PMID24891551
PMCPMC4119547
OpenAlexW2042363635

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.