Abstract

TPS67 Background: Treatments for 1L advanced/metastatic UC include platinum-based chemotherapy, an immune checkpoint inhibitor (ICI) or clinical trial enrollment. Not all patients benefit from, or are eligible for, specific therapies due to comorbidities and performance status. There is an urgent need for biomarker-directed strategies to enable patient selection and improve outcomes. Currently the only clinically used molecular biomarker is PD-L1 protein expression in tumor tissue. Although inconsistent and variable among assays, higher PD-L1 expression generally correlates with increased ICI response rate. Improved understanding of the prevalence and potential prognostic and/or predictive role of PD-L1 can further enhance its clinical utility and guide novel clinical trial designs. Methods: This observational study will enroll 250 patients with advanced UC prior to starting or during 1L therapy, as initiated at the discretion of participating clinicians, from 60 US community sites. The primary endpoint is prevalence of PD-L1 expression by VENTANA SP263 Assay (exact [Clopper-Pearson] 95% CI) on pre-treatment tumor tissue. Secondary endpoints include the association of pre-treatment PD-L1 expression with pre-treatment tumor tissue mutational burden (tTMB), descriptions of treatment response and outcomes (ORR based on RECIST 1.1, PFS, OS) and assessment of their correlations with PD-L1 expression. Exploratory endpoints include the association of pre-treatment tumor tissue PD-L1 with pre-treatment blood-based tumor mutational burden (bTMB), changes in circulating tumor DNA (ctDNA) levels at various timepoints, the correlation between tTMB and bTMB values, and the association of those biomarkers for outcomes of PFS and OS. Enrollment will take place over 24 months with follow-up to 30 months from study enrollment. With 250 patients, the 95% CI for 30%, 45%, and 60% observed prevalence of PD-L1 high are (24.4%, 36.1%), (38.9%, 51.2%), and (53.6%, 66.1%), respectively; the various secondary and exploratory analyses will be descriptive.

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