Evidence map›Paper›PMID 34511488›Full record

ArticleCancer biomarkers : section A of Disease markers2022

Application of a multiplex urinalysis test for the prediction of intravesical BCG treatment response: A pilot study.

Kaoru Murakami, Ashish M Kamat, Yunfeng Dai, Ian Pagano, Runpu Chen, Yijun Sun, Amit Gupta, Steve Goodison, Charles J Rosser, Hideki Furuya

Open access · bronzeAbstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

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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

10 authors at 6 institutions in 1 country.

Kaoru MurakamiSamuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Ashish M KamatDepartment of Urology, UT MD Anderson Cancer Center, Houston, TX, USA.
Yunfeng DaiDepartment of Epidemiology, University of Florida, Gainesville, FL, USA.
Ian PaganoCancer Prevention and Control Program, University of Hawaii Cancer Center, Honolulu, HI, USA.
Runpu ChenDepartment of Microbiology and Immunology, The State University of New York at Buffalo, Buffalo, NY, USA.
Yijun SunDepartment of Microbiology and Immunology, The State University of New York at Buffalo, Buffalo, NY, USA.
Amit GuptaDivision of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Steve GoodisonQuantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
Charles J RosserSamuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Hideki FuruyaSamuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Cedars-Sinai Medical Center · USUniversity at Buffalo, State University of New York · USMayo Clinic in Florida · USThe University of Texas MD Anderson Cancer Center · USUniversity of Florida · USUniversity of Hawaiʻi at Mānoa · US

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI GERTRAUD MASKARINEC · 1996 to 2026
$56.2M
VALIDATION OF A MULTIPLEXED ASSAY FOR BLADDER CANCER DIAGNOSISR01CA198887 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI ROSSER, CHARLES J · 2016 to 2025
$6.8M
Advanced Computational Approaches to Delineating Dynamic Cancer Progression Processes by Using Massive Static Sample DataR01CA241123 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI GOODISON, STEVE, SUN, YIJUN · 2020 to 2024
$1.8M
NCI NIH HHS R01 CA198887NCI NIH HHS R01 CA241123
6 · The paper itself

Abstract

backgroundIntravesical 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 OncuriaTM, a bladder cancer detection test, to predict response to intravesical BCG.

methodsOncuriaTM 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 OncuriaTM 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.

resultsPre-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.

conclusionsMonitoring 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 OncuriaTM test may be applicable for the clinical evaluation of bladder cancer patients considering intravesical BCG treatment.

Indexed as

BCG VaccineUrinary Bladder NeoplasmsAdministration, IntravesicalHumansNeoplasm Recurrence, LocalPilot ProjectsUrinalysisBCG VaccineBCGBiomarkersbladder cancermultiplexprotein

Identifiers

PMID34511488
PMCPMC8925124
OpenAlexW3198301588

What OpenQuestion holds

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LicenceCC BY-NC
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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.