A multi-analyte assay for the non-invasive detection of bladder cancer.

Accurate urinary assays for bladder cancer (BCa) detection would benefit both patients and healthcare systems. Through genomic and proteomic profiling of urine components, we have previously identified a panel of biomarkers that can outperform current urine-based biomarkers for the non-invasive dete...

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Autores principales:	Steve Goodison, Myron Chang, Yunfeng Dai, Virginia Urquidi, Charles J Rosser
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/35f0b3a71b1a424ea2badd3ac1cbfee0
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spelling	oai:doaj.org-article:35f0b3a71b1a424ea2badd3ac1cbfee02021-11-18T08:11:30ZA multi-analyte assay for the non-invasive detection of bladder cancer.1932-620310.1371/journal.pone.0047469https://doaj.org/article/35f0b3a71b1a424ea2badd3ac1cbfee02012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23094052/?tool=EBIhttps://doaj.org/toc/1932-6203Accurate urinary assays for bladder cancer (BCa) detection would benefit both patients and healthcare systems. Through genomic and proteomic profiling of urine components, we have previously identified a panel of biomarkers that can outperform current urine-based biomarkers for the non-invasive detection of BCa. Herein, we report the diagnostic utility of various multivariate combinations of these biomarkers. We performed a case-controlled validation study in which voided urines from 127 patients (64 tumor bearing subjects) were analyzed. The urinary concentrations of 14 biomarkers (IL-8, MMP-9, MMP-10, SDC1, CCL18, PAI-1, CD44, VEGF, ANG, CA9, A1AT, OPN, PTX3, and APOE) were assessed by enzyme-linked immunosorbent assay (ELISA). Diagnostic performance of each biomarker and multivariate models were compared using receiver operating characteristic curves and the chi-square test. An 8-biomarker model achieved the most accurate BCa diagnosis (sensitivity 92%, specificity 97%), but a combination of 3 of the 8 biomarkers (IL-8, VEGF, and APOE) was also highly accurate (sensitivity 90%, specificity 97%). For comparison, the commercial BTA-Trak ELISA test achieved a sensitivity of 79% and a specificity of 83%, and voided urine cytology detected only 33% of BCa cases in the same cohort. These data show that a multivariate urine-based assay can markedly improve the accuracy of non-invasive BCa detection. Further validation studies are under way to investigate the clinical utility of this panel of biomarkers for BCa diagnosis and disease monitoring.Steve GoodisonMyron ChangYunfeng DaiVirginia UrquidiCharles J RosserPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 10, p e47469 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Steve Goodison Myron Chang Yunfeng Dai Virginia Urquidi Charles J Rosser A multi-analyte assay for the non-invasive detection of bladder cancer.
description	Accurate urinary assays for bladder cancer (BCa) detection would benefit both patients and healthcare systems. Through genomic and proteomic profiling of urine components, we have previously identified a panel of biomarkers that can outperform current urine-based biomarkers for the non-invasive detection of BCa. Herein, we report the diagnostic utility of various multivariate combinations of these biomarkers. We performed a case-controlled validation study in which voided urines from 127 patients (64 tumor bearing subjects) were analyzed. The urinary concentrations of 14 biomarkers (IL-8, MMP-9, MMP-10, SDC1, CCL18, PAI-1, CD44, VEGF, ANG, CA9, A1AT, OPN, PTX3, and APOE) were assessed by enzyme-linked immunosorbent assay (ELISA). Diagnostic performance of each biomarker and multivariate models were compared using receiver operating characteristic curves and the chi-square test. An 8-biomarker model achieved the most accurate BCa diagnosis (sensitivity 92%, specificity 97%), but a combination of 3 of the 8 biomarkers (IL-8, VEGF, and APOE) was also highly accurate (sensitivity 90%, specificity 97%). For comparison, the commercial BTA-Trak ELISA test achieved a sensitivity of 79% and a specificity of 83%, and voided urine cytology detected only 33% of BCa cases in the same cohort. These data show that a multivariate urine-based assay can markedly improve the accuracy of non-invasive BCa detection. Further validation studies are under way to investigate the clinical utility of this panel of biomarkers for BCa diagnosis and disease monitoring.
format	article
author	Steve Goodison Myron Chang Yunfeng Dai Virginia Urquidi Charles J Rosser
author_facet	Steve Goodison Myron Chang Yunfeng Dai Virginia Urquidi Charles J Rosser
author_sort	Steve Goodison
title	A multi-analyte assay for the non-invasive detection of bladder cancer.
title_short	A multi-analyte assay for the non-invasive detection of bladder cancer.
title_full	A multi-analyte assay for the non-invasive detection of bladder cancer.
title_fullStr	A multi-analyte assay for the non-invasive detection of bladder cancer.
title_full_unstemmed	A multi-analyte assay for the non-invasive detection of bladder cancer.
title_sort	multi-analyte assay for the non-invasive detection of bladder cancer.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/35f0b3a71b1a424ea2badd3ac1cbfee0
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A multi-analyte assay for the non-invasive detection of bladder cancer.

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