Evidence map›Paper›PMID 20028763›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2010

A group of genome-based biomarkers that add to a Kattan nomogram for predicting progression in men with high-risk prostate cancer.

Pamela L Paris, Vivian Weinberg, Giancarlo Albo, Ritu Roy, Catherine Burke, Jeffry Simko, Peter Carroll, Colin Collins

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

15 citing papers in PubMed, 35 citations in OpenAlex.

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  11. Performance of the Genomic Evaluators of Metastatic Prostate Cancer (GEMCaP) tumor biomarker for identifying recurrent disease in African American patients.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Pamela L ParisDepartment of Urology, Helen Diller Family Comprehensive Cancer, and Helen Diller Family Comprehensive Cancer Biostatistics Core, University of California at San Francisco, California 94143, USA. pparis@cc.ucsf.edu
Vivian Weinberg
Giancarlo Albo
Ritu Roy
Catherine Burke
Jeffry Simko
Peter Carroll
Colin Collins
UCSF Helen Diller Family Comprehensive Cancer Center · US

Funding

UCSF PROSTATE CANCER SPOREP50CA089520 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CARROLL, PETER R · 2000 to 2008
$13.9M
CaP Metastasis Biomarkers: Validation/Genomics/BiologyR01CA115484 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PARIS, PAMELA L · 2005 to 2009
$1.4M
NCI NIH HHS P50 CA089520NCI NIH HHS P50CA89520NCI NIH HHS R01 CA115484
6 · The paper itself

Abstract

purposeThe three main treatment options for primary prostate cancer are surgery, radiation, and active surveillance. Surgical and radiation intervention for prostate cancer can be associated with significant morbidity. Therefore, accurate stratification predictive of outcome for prostate cancer patients is essential for appropriate treatment decisions. Nomograms that use clinical and pathologic variables are often used for risk prediction. Favorable outcomes exist even among men classified by nomograms as being at high risk of recurrence. EXPERIMENTAL

designPreviously, we identified a set of DNA-based biomarkers termed Genomic Evaluators of Metastatic Prostate Cancer (GEMCaP) and have shown that they can predict risk of recurrence with 80% accuracy. Here, we examined the risk prediction ability of GEMCaP in a high-risk cohort and compared it to a Kattan nomogram.

resultsWe determined that the GEMCaP genotype alone is comparable with the nomogram, and that for a subset of cases with negative lymph nodes improves upon it.

conclusionThus, GEMCaP shows promise for predicting unfavorable outcomes for negative lymph node high-risk cases, where the nomogram falls short, and suggests that addition of GEMCaP to nomograms may be warranted.

Indexed as

NomogramsRisk AssessmentBiomarkers, TumorComparative Genomic HybridizationDisease ProgressionHumansMaleNeoplasm MetastasisNeoplasm Recurrence, LocalPrognosisProstatic NeoplasmsRetrospective StudiesBiomarkers, Tumor

Identifiers

PMID20028763
PMCPMC2854027
OpenAlexW2105151745

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.