Cargando…
Application of a multiplex urinalysis test for the prediction of intravesical BCG treatment response: A pilot study
BACKGROUND: Intravesical Bacillus Calmette-Guerin (BCG), a live attenuated tuberculosis vaccine that acts as a non-specific immune system stimulant, is the most effective adjuvant treatment for patients with intermediate or high-risk non-muscle-invasive bladder cancer (NMIBC). However, to date, ther...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8925124/ https://www.ncbi.nlm.nih.gov/pubmed/34511488 http://dx.doi.org/10.3233/CBM-210221 |
_version_ | 1784670003134464000 |
---|---|
author | Murakami, Kaoru Kamat, Ashish M. Dai, Yunfeng Pagano, Ian Chen, Runpu Sun, Yijun Gupta, Amit Goodison, Steve Rosser, Charles J. Furuya, Hideki |
author_facet | Murakami, Kaoru Kamat, Ashish M. Dai, Yunfeng Pagano, Ian Chen, Runpu Sun, Yijun Gupta, Amit Goodison, Steve Rosser, Charles J. Furuya, Hideki |
author_sort | Murakami, Kaoru |
collection | PubMed |
description | BACKGROUND: Intravesical Bacillus Calmette-Guerin (BCG), a live attenuated tuberculosis vaccine that acts as a non-specific immune system stimulant, is the most effective adjuvant treatment for patients with intermediate or high-risk non-muscle-invasive bladder cancer (NMIBC). However, to date, there are no reliable tests that are predictive of BCG treatment response. In this study, we evaluated the performance of Oncuria [Formula: see text] , a bladder cancer detection test, to predict response to intravesical BCG. METHODS: Oncuria [Formula: see text] data was evaluated in voided urine samples obtained from a prospectively collected cohort of 64 subjects with intermediate or high risk NMIBC prior to treatment with intravesical BCG. The Oncuria [Formula: see text] test, which measures 10 cancer-associated biomarkers was performed in an independent clinical laboratory. The ability of the test to identify those patients in whom BCG is ineffective against tumor recurrence was tested. Predictive models were derived using supervised learning and cross-validation analyses. Model performance was assessed using ROC curves. RESULTS: Pre-treatment urinary concentrations of MMP9, VEGFA, CA9, SDC1, PAI1, APOE, A1AT, ANG and MMP10 were increased in patients who developed disease recurrence. A combinatorial predictive model of treatment outcome achieved an AUROC 0.89 [95% CI: 0.80–0.99], outperforming any single biomarker, with a test sensitivity of 81.8% and a specificity of 84.9%. Hazard ratio analysis revealed that patients with higher urinary levels of ANG, CA9 and MMP10 had a significantly higher risk of disease recurrence. CONCLUSIONS: Monitoring the urinary levels of a cancer-associated biomarker panel enabled the discrimination of patients who did not respond to intravesical BCG therapy. With further study, the multiplex Oncuria [Formula: see text] test may be applicable for the clinical evaluation of bladder cancer patients considering intravesical BCG treatment. |
format | Online Article Text |
id | pubmed-8925124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-89251242022-03-30 Application of a multiplex urinalysis test for the prediction of intravesical BCG treatment response: A pilot study Murakami, Kaoru Kamat, Ashish M. Dai, Yunfeng Pagano, Ian Chen, Runpu Sun, Yijun Gupta, Amit Goodison, Steve Rosser, Charles J. Furuya, Hideki Cancer Biomark Research Article BACKGROUND: Intravesical Bacillus Calmette-Guerin (BCG), a live attenuated tuberculosis vaccine that acts as a non-specific immune system stimulant, is the most effective adjuvant treatment for patients with intermediate or high-risk non-muscle-invasive bladder cancer (NMIBC). However, to date, there are no reliable tests that are predictive of BCG treatment response. In this study, we evaluated the performance of Oncuria [Formula: see text] , a bladder cancer detection test, to predict response to intravesical BCG. METHODS: Oncuria [Formula: see text] data was evaluated in voided urine samples obtained from a prospectively collected cohort of 64 subjects with intermediate or high risk NMIBC prior to treatment with intravesical BCG. The Oncuria [Formula: see text] test, which measures 10 cancer-associated biomarkers was performed in an independent clinical laboratory. The ability of the test to identify those patients in whom BCG is ineffective against tumor recurrence was tested. Predictive models were derived using supervised learning and cross-validation analyses. Model performance was assessed using ROC curves. RESULTS: Pre-treatment urinary concentrations of MMP9, VEGFA, CA9, SDC1, PAI1, APOE, A1AT, ANG and MMP10 were increased in patients who developed disease recurrence. A combinatorial predictive model of treatment outcome achieved an AUROC 0.89 [95% CI: 0.80–0.99], outperforming any single biomarker, with a test sensitivity of 81.8% and a specificity of 84.9%. Hazard ratio analysis revealed that patients with higher urinary levels of ANG, CA9 and MMP10 had a significantly higher risk of disease recurrence. CONCLUSIONS: Monitoring the urinary levels of a cancer-associated biomarker panel enabled the discrimination of patients who did not respond to intravesical BCG therapy. With further study, the multiplex Oncuria [Formula: see text] test may be applicable for the clinical evaluation of bladder cancer patients considering intravesical BCG treatment. IOS Press 2022-02-14 /pmc/articles/PMC8925124/ /pubmed/34511488 http://dx.doi.org/10.3233/CBM-210221 Text en © 2022 – The authors. Published by IOS Press. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Murakami, Kaoru Kamat, Ashish M. Dai, Yunfeng Pagano, Ian Chen, Runpu Sun, Yijun Gupta, Amit Goodison, Steve Rosser, Charles J. Furuya, Hideki Application of a multiplex urinalysis test for the prediction of intravesical BCG treatment response: A pilot study |
title | Application of a multiplex urinalysis test for the prediction of intravesical BCG treatment response: A pilot study |
title_full | Application of a multiplex urinalysis test for the prediction of intravesical BCG treatment response: A pilot study |
title_fullStr | Application of a multiplex urinalysis test for the prediction of intravesical BCG treatment response: A pilot study |
title_full_unstemmed | Application of a multiplex urinalysis test for the prediction of intravesical BCG treatment response: A pilot study |
title_short | Application of a multiplex urinalysis test for the prediction of intravesical BCG treatment response: A pilot study |
title_sort | application of a multiplex urinalysis test for the prediction of intravesical bcg treatment response: a pilot study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8925124/ https://www.ncbi.nlm.nih.gov/pubmed/34511488 http://dx.doi.org/10.3233/CBM-210221 |
work_keys_str_mv | AT murakamikaoru applicationofamultiplexurinalysistestforthepredictionofintravesicalbcgtreatmentresponseapilotstudy AT kamatashishm applicationofamultiplexurinalysistestforthepredictionofintravesicalbcgtreatmentresponseapilotstudy AT daiyunfeng applicationofamultiplexurinalysistestforthepredictionofintravesicalbcgtreatmentresponseapilotstudy AT paganoian applicationofamultiplexurinalysistestforthepredictionofintravesicalbcgtreatmentresponseapilotstudy AT chenrunpu applicationofamultiplexurinalysistestforthepredictionofintravesicalbcgtreatmentresponseapilotstudy AT sunyijun applicationofamultiplexurinalysistestforthepredictionofintravesicalbcgtreatmentresponseapilotstudy AT guptaamit applicationofamultiplexurinalysistestforthepredictionofintravesicalbcgtreatmentresponseapilotstudy AT goodisonsteve applicationofamultiplexurinalysistestforthepredictionofintravesicalbcgtreatmentresponseapilotstudy AT rossercharlesj applicationofamultiplexurinalysistestforthepredictionofintravesicalbcgtreatmentresponseapilotstudy AT furuyahideki applicationofamultiplexurinalysistestforthepredictionofintravesicalbcgtreatmentresponseapilotstudy |