Evidence map›Paper›PMID 24684904›Full record

ArticleBMC biotechnology2014

Simultaneous multi-analyte urinary protein assay for bladder cancer detection.

Charles J Rosser, Yunfeng Dai, Makito Miyake, Ge Zhang, Steve Goodison

Abstract readComparative Study
In one paragraph

Article in BMC biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Review
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  5. Article
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  9. ELISA in the multiplex era: potentials and pitfalls.Proteomics. Clinical applications · 2015
    Review
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

5 authors.

Charles J RosserMD Anderson Cancer Center Orlando, Orlando, FL, USA. crosser@cc.hawaii.edu.
Yunfeng Dai
Makito Miyake
Ge Zhang
Steve Goodison

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 R44 CA173921NCI NIH HHS R44CA173921
6 · The paper itself

Abstract

backgroundThe ability to accurately measure multiple proteins simultaneously in a single assay has the potential to markedly improve the efficiency of a myriad of clinical assays. Here, we tested the performance of a new, multiplex protein array platform to quantitate three bladder cancer-associated proteins in urine samples. The following analytes, interleukin 8 (IL8), matrix metallopeptidase 9 (MMP9), and vascular endothelial growth factor A (VEGFA) were monitored using Q-plex, a customized multiplex ELISA system from Quansys Biosciences, and individual target commercial ELISA kits. The performance of the two approaches was compared by evaluating the diagnostic accuracy of the biomarker assays in samples from a cohort of 73 subjects of known bladder cancer status.

resultsThe combination biomarker panel analyses revealed an AUROC value of 0.9476 for the Q-plex assay, and 0.9119 for the combination of the single-target ELISA assays. The Q-plex assay achieved an overall diagnostic sensitivity of 0.93 and specificity of 0.81, and the individual target ELISA assays achieved an overall sensitivity of 0.77 and specificity of 0.91.

conclusionBased on these encouraging preliminary data, we believe that the Q-Plex technology is a viable platform that can be exploited as an efficient, highly accurate tool to quantitate multiplex panels of diagnostic proteins in biologic specimens.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCase-Control StudiesEnzyme-Linked Immunosorbent AssayFemaleHumansInterleukin-8MaleMatrix Metalloproteinase 9Middle AgedProtein Array AnalysisSensitivity and SpecificityUrinary Bladder NeoplasmsVascular Endothelial Growth Factor ABiomarkers, TumorCXCL8 protein, humanInterleukin-8Matrix Metalloproteinase 9MMP9 protein, humanVascular Endothelial Growth Factor AVEGFA protein, human

Identifiers

PMID24684904
PMCPMC4230247

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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.