Abstract 3552
Background
mUC arising from UTUC vs LTUC may involve distinct biology resulting in different treatment responses & outcomes. However, this hypothesis has not been comprehensively explored. Here, data from 2 prospective trials of atezo (anti–PD-L1) in platinum-treated mUC (IMvigor210 Cohort 2; IMvigor211) were used to explore relationships between UTUC/LTUC primary tumor site, objective response rate (ORR)/overall survival (OS) & biomarker status.
Methods
PD-L1 (VENTANA SP142 IHC assay), targeted DNA sequencing (FoundationOne) and RNA sequencing (Expression Analysis) were evaluated in archival samples. Microsatellite status (MSI) was determined at 114 loci, & tumor mutational burden (TMB) on 1.1 Mb sequenced DNA. Biomarker-evaluable pts had tumors with known baseline PD-L1 status & RNAseq profiles.
Results
220 IMvigor210 & 339 IMvigor211 pts were efficacy evaluable (Table), of whom 24% & 28%, respectively, had UTUC. Numerically higher ORR was seen in LTUC vs UTUC (IMvigor210, 23% vs 14%; IMvigor211, 18% vs 10%); these differences were not statistically significant. In both cohorts LTUC pts had significantly higher TMB (IMvigor210 P = 0.05; IMvigor211 P = 0.02) & a trend toward higher PD-L1 expression. Lund molecular subtype distribution also differed between UTUC vs LTUC (IMvigor210 P = 0.005; IMvigor211 P = 0.098) with increased frequency of genomically unstable tumors in LTUC pts. FGFR3 alterations did not associate with UTUC vs LTUC or with response in these groups. In the combined IMvigor210 and IMvigor211 cohorts, MSI-high tumors occurred in 1/146 (< 1%) of UTUC and 5/413 (1%) of LTUC subgroups.
Conclusions
Our data suggest pts with LTUC may have improved outcomes with atezo vs pts with UTUC, although benefit was observed in both groups. Numerically higher ORR/OS in pts with platinum-treated LTUC may be partly related to non-overlapping underlying biology & warrants further study in different settings.Table: 902P
UTUC | LTUC | |
---|---|---|
IMvigor210 (n = 220)a | ||
n | 52 | 168 |
ORR (%) | 13 | 23 |
Median OS (mo) | 10.3 | 11.7 |
IMvigor211 (n = 339)a | ||
n | 94 | 245 |
ORR (%) | 11 | 18 |
Median OS (mo) | 9.7 | 10.9 |
Biomarker-evaluable pts from overall cohorts of 310 pts (IMvigor210 cohort 2) & 467 pts (IMvigor211). P values in the abstract are shown for descriptive purposes only based on this post hoc analysis.
Clinical trial identification
NCT02108652, NCT02302807.
Legal entity responsible for the study
F. Hoffmann-La Roche AG.
Funding
F. Hoffmann-La Roche AG.
Editorial Acknowledgement
Medical writing support provided by Paige S. Davies, PhD, of Health Interactions.
Disclosure
M.D. Galsky: Advisory boards and research funding: Merck, Genentech, AstraZeneca, BMS; Advisory boards: Pfizer. R. Banchereau: Employee of Genentech. E.E. Kadel, III: Employee of Genentech/Roche; Stock: Roche, Compugen, Clinuvel, Epizyme, Mannkind, Merck; Immediate family member who owns stock in Gilead Sciences; Travel, accommodations, expenses: Genentech/Roche. T. Ramirez-Montagut, S. Mariathasan, A. Thåström: Employee and stock owner: Genentech. J. Rosenberg: Consultant: Merck, Roche/Genentech, AstraZeneca, BMS, Inovio, EMD-Serono, Bayer, Seattle Genetics, Astellas; Speaking fees: Chugai, AstraZeneca. Research sponsorship: Novartis, Roche/Genentech, Astellas, Seattle Genetics, Bayer, Mirati, Oncogenex, Incyte. T. Powles: Funding: AstraZeneca, Roche; Honoraria: AstraZeneca, Roche, Pfizer, Merck, BMS. M.S. van der Heijden: Consultancy fees and research funding: BMS, Astellas; Consultancy fees: Roche/Genentech, MSD, AstraZeneca/Medimmune, Seattle Genetics. A. Necchi: Research grants: AstraZeneca and Merck; Advisor: Merck, Incyte, Roche, AstraZeneca, Janssen, Clovis Oncology, BioClin Therapeutics, BMS.
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