Evidence map›Paper›PMID 26830497›Full record

ArticleJournal of translational medicine2016

A multiplex immunoassay for the non-invasive detection of bladder cancer.

Yoshiko Shimizu, Hideki Furuya, Peter Bryant Greenwood, Owen Chan, Yunfeng Dai, Mark D Thornquist, Steve Goodison, Charles J Rosser

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 47 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
    Article
  2. Article
  3. Review
  4. The role of angiogenin in bladder cancer: where are we in 2025?International urology and nephrology · 2025
    Review
  5. Article
  6. Review
  7. The Role of Novel Bladder Cancer Diagnostic and Surveillance Biomarkers-What Should a Urologist Really Know?International journal of environmental research and public health · 2022
    Review
  8. Article
  9. Article
  10. Review
  11. Article
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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

8 authors at 6 institutions in 1 country.

Yoshiko ShimizuUniversity of Hawaii Cancer Center, 701 Ilalo St, Rm 327, Honolulu, HI, 96813, USA. yoshikos@hawaii.edu.
Hideki FuruyaUniversity of Hawaii Cancer Center, 701 Ilalo St, Rm 327, Honolulu, HI, 96813, USA. hfuruya@cc.hawaii.edu.
Peter Bryant GreenwoodUniversity of Hawaii Cancer Center, 701 Ilalo St, Rm 327, Honolulu, HI, 96813, USA. pgreenwood@queens.org.
Owen ChanUniversity of Hawaii Cancer Center, 701 Ilalo St, Rm 327, Honolulu, HI, 96813, USA. ochan@cc.hawaii.edu.
Yunfeng DaiDepartment of Biostatistics, University of Florida, Gainesville, FL, USA. ydai@ichp.ufl.edu.
Mark D ThornquistCancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. mthornqu@fredhutch.org.
Steve GoodisonNonagen BioScience Corp, Jacksonville, FL, USA. goodison.steven@mayo.edu.
Charles J RosserUniversity of Hawaii Cancer Center, 701 Ilalo St, Rm 327, Honolulu, HI, 96813, USA. cjrosser@hawaii.edu.
Nonagen Bioscience (United States) · USUniversity of Hawaii System · USFred Hutch Cancer Center · USUniversity of Florida · USUniversity of Hawaiʻi at Mānoa · USUniversity of Hawaii Cancer Center

Funding

Development of molecular assays for non-invasive bladder cancer detectionR44CA173921 · NCI · NONAGEN BIOSCIENCE CORPORATION · PI GOODISON, STEVE · 2013 to 2015
$2.0M
NCI NIH HHS 5P30CA0717890-6071NCI NIH HHS R44 CA173921NCI NIH HHS R44CA173921
6 · The paper itself

Abstract

backgroundUrine based assays that can non-invasively detect bladder cancer (BCa) have the potential to reduce unnecessary and invasive procedures. The purpose of this study was to develop a multiplex immunoassay that can accurately and simultaneously monitor ten diagnostic urinary protein biomarkers for application as a non-invasive test for BCa detection.

methodsA custom electrochemiluminescent multiplex assay was constructed (Meso Scale Diagnostics, LLC, Rockville, MD, USA) to detect the following urinary proteins; IL8, MMP9, MMP10, ANG, APOE, SDC1, A1AT, PAI1, CA9 and VEGFA. Voided urine samples from two cohorts were collected prior to cystoscopy and samples were analyzed blinded to the clinical status of the participants. Means (±SD) and receiver operating characteristic (ROC) curve analysis were used to compare assay performance and to assess the diagnostic accuracy of the diagnostic signature.

resultsComparative diagnostic performance analyses revealed an AUROC value of 0.9258 for the multiplex assay and 0.9467 for the combination of the single-target ELISA assays (p = 0.625), so there was no loss of diagnostic utility for the MSD multiplex assay. Analysis of the independent 200-sample cohort using the multiplex assay achieved an overall diagnostic sensitivity of 0.85, specificity of 0.81, positive predictive value 0.82 and negative predictive value 0.84.

conclusionsIt is technically feasible to simultaneously monitor complex urinary diagnostic signatures in a single assay without loss of performance. The described protein-based assay has the potential to be developed for the non-invasive detection of BCa.

Indexed as

AgedAged, 80 and overBiomarkers, TumorCohort StudiesDemographyEnzyme-Linked Immunosorbent AssayFemaleHumansImmunoassayMaleMiddle AgedNeoplasm InvasivenessReproducibility of ResultsUrinary Bladder NeoplasmsBiomarkers, Tumor

Identifiers

PMID26830497
PMCPMC4736707
OpenAlexW2259792388

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.