Evidence map›Paper›PMID 24920641›Full record

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

External validation of a multiplex urinary protein panel for the detection of bladder cancer in a multicenter cohort.

Li-Mei Chen, Myron Chang, Yunfeng Dai, Karl X Chai, Lars Dyrskjøt, Marta Sanchez-Carbayo, Tibor Szarvas, Ellen C Zwarthoff, Vinata Lokeshwar, Carmen Jeronimo and 12 more

Open access · greenAbstract readMulticenter Study
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 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 65 citations in OpenAlex.

  1. Clinical Validation of a Multiplex Urine Biomarker Assay for Surveillance of Recurrent Bladder Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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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

22 authors at 1 institution in 1 country.

Li-Mei ChenBurnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, Florida.
Myron ChangDepartment of Biostatistics, The University of Florida, Gainesville, Florida.
Yunfeng DaiDepartment of Biostatistics, The University of Florida, Gainesville, Florida.
Karl X ChaiBurnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, Florida.
Lars DyrskjøtDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Marta Sanchez-CarbayoBladder Cancer Group, Proteomics Unit, Bizkaia, Spain.
Tibor SzarvasDepartment of Urology, University Hospital Duisburg-Essen, Essen, Germany.
Ellen C ZwarthoffDepartment of Pathology, Erasmus MC, Rotterdam, the Netherlands.
Vinata LokeshwarDepartment of Urology, University of Miami Miller School of Medicine, Miami, Florida. Department of Cell Biology, University of Miami Miller School of Medicine, Miami, Florida.
Carmen JeronimoCancer Epigenetics Group, Research Center Portuguese Oncology Institute, Porto, Portugal. Department of Pathology and Molecular Immunology, Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal.
Alexander S ParkerDepartment of Urology, Mayo Clinic Florida, Jacksonville, Florida.
Shanti RossCancer Research Institute, MD Anderson Cancer Center, Orlando, Florida.
Michael BorreDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Torben F OrntoftDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Tobias JaegerDepartment of Urology, University Hospital Duisburg-Essen, Essen, Germany.
Willemien BeukersDepartment of Pathology, Erasmus MC, Rotterdam, the Netherlands.
Luis E LopezDepartment of Urology, University of Miami Miller School of Medicine, Miami, Florida. Department of Cell Biology, University of Miami Miller School of Medicine, Miami, Florida.
Rui HenriqueCancer Epigenetics Group, Research Center Portuguese Oncology Institute, Porto, Portugal. Department of Pathology and Molecular Immunology, Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal.
Paul R YoungDepartment of Urology, Mayo Clinic Florida, Jacksonville, Florida.
Virginia UrquidiCancer Research Institute, MD Anderson Cancer Center, Orlando, Florida. Nonagen Bioscience Corp., Jacksonville, Florida.
Steve GoodisonCancer Research Institute, MD Anderson Cancer Center, Orlando, Florida. Nonagen Bioscience Corp., Jacksonville, Florida. Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida.
Charles J RosserCancer Research Institute, MD Anderson Cancer Center, Orlando, Florida. Nonagen Bioscience Corp., Jacksonville, Florida. University of Hawaii, Honolulu, Hawaii. crosser@cc.hawaii.edu.
Aarhus University Hospital · DK

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Towards a non-invasive molecular test for bladder cancerR01CA116161 · NCI · UNIVERSITY OF FLORIDA · PI GOODISON, STEVE · 2007 to 2019
$2.9M
NCATS NIH HHS UL1 TR000135NCI NIH HHS R01 CA116161
6 · The paper itself

Abstract

backgroundBecause of the faltering sensitivity and/or specificity, urine-based assays currently have a limited role in the management of patients with bladder cancer. The aim of this study was to externally validate our previously reported protein biomarker panel from multiple sites in the United States and Europe.

methodsThis multicenter external validation study included a total of 320 subjects (bladder cancer = 183). The 10 biomarkers (IL8, MMP9, MMP10, SERPINA1, VEGFA, ANG, CA9, APOE, SDC1, and SERPINE1) were measured using commercial ELISA assays in an external laboratory. The diagnostic performance of the biomarker panel was assessed using receiver operator curves (ROC) and descriptive statistical values.

resultsUtilizing the combination of all 10 biomarkers, the area under the ROC for the diagnostic panel was noted to be 0.847 (95% confidence interval, 0.796-0.899), outperforming any single biomarker. The multiplex assay at optimal cutoff value achieved an overall sensitivity of 0.79, specificity of 0.79, positive prediction value of 0.73, and negative prediction value of 0.84 for bladder cancer classification. Sensitivity values of the diagnostic panel for high-grade bladder cancer, low-grade bladder cancer, muscle invasive bladder cancer, and non-muscle invasive bladder cancer were 0.81, 0.90, 0.95, and 0.77, respectively.

conclusionsUrinary levels of the biomarker panel enabled discrimination of patients with bladder cancer and controls, and the levels of biomarker subsets were associated with advancing tumor grade and stage. IMPACT: If proven to be reliable, urinary diagnostic biomarker assays can detect bladder cancer in a timely manner such that the patient can expect improvements in overall survival and quality of life.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCohort StudiesEuropeHumansMaleMiddle AgedProteinuriaReproducibility of ResultsUnited StatesUrinary Bladder NeoplasmsYoung AdultBiomarkers, Tumor

Identifiers

PMID24920641
PMCPMC4154967
OpenAlexW2140408271

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.