Evidence map›Paper›PMID 24266816›Full record

ArticleBiomarkers in medicine2013

Urinary aHGF, IGFBP3 and OPN as diagnostic and prognostic biomarkers for prostate cancer.

Alisa J Prager, Cynthia R Peng, Elena Lita, Debbie McNally, Aradhana Kaushal, Mary Sproull, Kathryn Compton, William L Dahut, William D Figg, Deborah Citrin and 1 more

Abstract read
In one paragraph

Article in Biomarkers in medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

10 citing papers in PubMed, 14 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

11 authors at 2 institutions in 1 country.

Alisa J PragerRadiation Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Cynthia R Peng
Elena Lita
Debbie McNally
Aradhana Kaushal
Mary Sproull
Kathryn Compton
William L Dahut
William D Figg
Deborah Citrin
Kevin A Camphausen
National Cancer Institute · USNational Institutes of Health · US

Funding

Sample Processing and Analytical Methods Development for New Anticancer AgentsZICSC006536 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI FIGG, WILLIAM DOUGLAS · 2009 to 2025
$18.1M
Intramural NIH HHS ZIC SC006536
6 · The paper itself

Abstract

aimSerum PSA screening for prostate cancer (PCa) is controversial. Here, we identify three urinary biomarkers - aHGF, IGFBP3 and OPN - for PCa screening and prognostication.

methodsUrinary aHGF, OPN and IGFBP3 from healthy men (n = 19) and men with localized (n = 65) and metastatic (n = 36) PCa were quantified via ELISA. Mann-Whitney nonparametric t-test and the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) analyses were used to analyze associations.

resultsMean aHGF and IGFBP3 levels were significantly elevated in PCa patients versus controls (p = 0.0006 and p = 0.0012, respectively), and the area under the curve of the receiver operating characteristic curve (indicator of diagnostic accuracy) for aHGF and IGFBP3 was 0.75 and 0.74, respectively. OPN levels were significantly higher in metastatic groups (p = 0.0060) versus localized and controls (area under the curve = 0.68).

conclusionUrinary aHGF and IGFBP3 exhibit the capacity for diagnostic discrimination for PCa, whereas OPN may indicate presence of metastatic disease.

Indexed as

Area Under CurveBiomarkers, TumorEnzyme-Linked Immunosorbent AssayHepatocyte Growth FactorHumansInsulin-Like Growth Factor Binding Protein 3MaleMetabolic Networks and PathwaysNeoplasm StagingOsteopontinPrognosisProstate-Specific AntigenProstatic NeoplasmsROC CurveSensitivity and SpecificityBiomarkers, TumorHepatocyte Growth FactorIGFBP3 protein, humanInsulin-Like Growth Factor Binding Protein 3OsteopontinProstate-Specific Antigen

Identifiers

PMID24266816
PMCPMC6639092
OpenAlexW2128847329

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.