Abstract

Abstract Introduction and Objective: Recently, we reported that OncuriaTM, a multiplex urinalysis test, could be predictive of BCG treatment response. Furthermore, high-grade BCG unresponsive bladder cancer have limited treatment options. Such patients are offered either radical cystectomy or systemic therapy. One of the systemic therapies include immune-oncology agents, e.g., PD-1 or PD-L1 inhibitors. In this study, we tested the performance of OncuriaTM in a BCG unresponsive cohort to determine if it could predict response to a PDL1 inhibitor. Methods: OncuriaTM data was evaluated in voided urine samples obtained from a prospectively collected cohort of 18 subjects who have BCG-unresponsive NMIBC with treatment of atezolizumab monotherapy or atezolizumab BCG combination (provided by Genentech, NCT02792192). The urine samples were collected prior to treatment in both arms. The OncuriaTM test, which measures 10 cancer-associated biomarkers was performed in an independent clinical laboratory. Predictive models were previously developed using supervised learning and cross-validation analyses. Model performance was validated 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 sensitivity and specificity of >90%. Conclusion: Previous pilot study found that monitoring the urinary levels of a cancer-associated biomarker panel enabled the discrimination of patients who did not respond to intravesical BCG therapy. In this study, we noted the performance of OncuriaTM for the prediction of systemic PDL1 inhibitor treatment response. A limitation of this study includes its small sample size. With further study, the multiplex OncuriaTM test may be applicable for the clinical evaluation of bladder cancer patients who have not previously responded to intravesical BCG treatment and is considering systemic immune-oncology options. Citation Format: Hideki Furuya, Kaoru Murakami, Ian Pagano, Runpu Chen, Yijun Sun, Nari Kim, Edward E. Kadel, Cheryl V. Wong, Nicole Davarpanah, Charles J. Rosser. Application of a multiplex urinalysis test for predicting treatment response in patients with BCG unresponsive bladder cancer: a pilot study. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5456.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call