Comparing the effectiveness of IO-based combination regimens as first-line treatment for advanced clear-cell renal cell carcinoma (ccRCC).

498 Background: IO-based combination therapies - either in combination with tyrosine kinase inhibitors (TKI) or as double checkpoint inhibition - have revolutionized first-line treatment of ccRCC patients. We compared tolerability and effectiveness of ipilimumab plus nivolumab (ipi/nivo), cabozantinib plus nivolumab (cabo/nivo), axitinib plus pembrolizumab (axi/pem), and lenvatinib plus pembrolizumab (len/pem) as first-line treatment in real-world cohorts. Methods: Data from retrospective, multicenter cohorts of advanced ccRCC patients were analyzed. Best response was evaluated by local investigators. Adverse events (AE) were assessed according to CTCAE v5.0. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan-Meier method. The log-rank test was used to calculate statistical differences between the cohorts. Results: A total of 543 patients were included in this analysis. Median age of all patients was 65 years (range 21-88), most patients were male (70%). Median number of affected organs were 2 and sites of metastases were comparable between treatment regimens. Key data on IMDC risk group distribution, median follow-up (FU), best response, disease control rate, median PFS, median PFS by IMDC risk group, 1-year OS-rate and occurrence of AEs by treatment regimens are depicted in the table. PFS was significantly superior for IO/TKI combinations compared to Ipi/Nivo (p=0.021). At a median FU of 21.2 months (95%CI 19.7-22.7) for all patients, 51% of patients had disease progression and 26% of patients died. Conclusions: IO/TKI combinations demonstrated significantly better PFS compared to IO/IO as first-line treatment for ccRCC patients. However, no specific IO/TKI regimen showed clear superiority over others, and 1-year OS rate was encouraging across all cohorts. Factors such as IMDC risk, comorbidities, AE profiles and individual treatment goals should be considered when tailoring therapy. Key limitations include the retrospective design, which introduces potential selection and recall biases, varying cohort sizes, the different and limited follow-up time between cohorts and limited OS events. Ipi/Nivo(n=251) Cabo/Nivo(n=47) Axi/Pem(n=118) Len/Pem(n=127) IMDC risk group- fav. risk- int./poor risk 8%92% 34%60% 24%72% 27%73% Median FU in mo. (95%CI) 32.1 (27.5-36.7) 14.0 (10.1-17.8) 22.5 (19.7-25.3) 14.7 (11.3-18.1) Best Response (CR rate) 40% (10%) 49% (2%) 64% (7%) 67% (7%) Disease control rate 64% 68% 86% 78% Median PFS (95%CI)- IMDC fav. risk- IMDC int./poor risk 9.0 (5.8-12.2)7.3 (6.9-7,7)9.7 (6.3-13.1) 16.1 (4.9-27.3)13.0 (6.8-19.2)10.7 (n.e.) 16.8 (10.4-23.2)25.4 (10.0-40.8)12.9 (9.4-16.4) 22.2 (11.7-23.7)22.2 (15.6-28.8)12.2 (0-24.6) 1 y OS rate (95%CI) 81.0 (75.8-86.2) 78.0 (63.8-92.2) 90.6 (84.8-96.4) 78.7 (70.5-86.9) AEs any grade 78% 79% 92% 95% AEs ≥ grade 3 40% 47% 47% 61%

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Journal
Journal of Clinical Oncology
Published
2025-02-10
DOI
https://doi.org/10.1200/jco.2025.43.5_suppl.498
Primary Topic
Renal cell carcinoma treatment
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article
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article

Comparing the effectiveness of IO-based combination regimens as first-line treatment for advanced clear-cell renal cell carcinoma (ccRCC).

Viktor Grünwald, Margitta Retz, Timo Egenolf, Marco J. Schnabel et al.
Journal of Clinical Oncology
Renal cell carcinoma treatment
article

Comparing the effectiveness of IO-based combination regimens as first-line treatment for advanced clear-cell renal cell carcinoma (ccRCC).

Viktor Grünwald, Margitta Retz, Timo Egenolf, Marco J. Schnabel, Arne Strauß, Philipp Ivanyi, Stefanie Zschaebitz, Linus Materna, Katrin Schlack, S. Neuberger, Stella Erdmann, Richard Cathomas, Christopher Darr, Jozefina Casuscelli, Pia Paffenholz, Thomas Hilser, Florian Roghmann, Berna C. Özdemir, Ramona Stelmach, Anton Moderegger
article en

Abstract

498 Background: IO-based combination therapies - either in combination with tyrosine kinase inhibitors (TKI) or as double checkpoint inhibition - have revolutionized first-line treatment of ccRCC patients. We compared tolerability and effectiveness of ipilimumab plus nivolumab (ipi/nivo), cabozantinib plus nivolumab (cabo/nivo), axitinib plus pembrolizumab (axi/pem), and lenvatinib plus pembrolizumab (len/pem) as first-line treatment in real-world cohorts. Methods: Data from retrospective, multicenter cohorts of advanced ccRCC patients were analyzed. Best response was evaluated by local investigators. Adverse events (AE) were assessed according to CTCAE v5.0. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan-Meier method. The log-rank test was used to calculate statistical differences between the cohorts. Results: A total of 543 patients were included in this analysis. Median age of all patients was 65 years (range 21-88), most patients were male (70%). Median number of affected organs were 2 and sites of metastases were comparable between treatment regimens. Key data on IMDC risk group distribution, median follow-up (FU), best response, disease control rate, median PFS, median PFS by IMDC risk group, 1-year OS-rate and occurrence of AEs by treatment regimens are depicted in the table. PFS was significantly superior for IO/TKI combinations compared to Ipi/Nivo (p=0.021). At a median FU of 21.2 months (95%CI 19.7-22.7) for all patients, 51% of patients had disease progression and 26% of patients died. Conclusions: IO/TKI combinations demonstrated significantly better PFS compared to IO/IO as first-line treatment for ccRCC patients. However, no specific IO/TKI regimen showed clear superiority over others, and 1-year OS rate was encouraging across all cohorts. Factors such as IMDC risk, comorbidities, AE profiles and individual treatment goals should be considered when tailoring therapy. Key limitations include the retrospective design, which introduces potential selection and recall biases, varying cohort sizes, the different and limited follow-up time between cohorts and limited OS events. Ipi/Nivo(n=251) Cabo/Nivo(n=47) Axi/Pem(n=118) Len/Pem(n=127) IMDC risk group- fav. risk- int./poor risk 8%92% 34%60% 24%72% 27%73% Median FU in mo. (95%CI) 32.1 (27.5-36.7) 14.0 (10.1-17.8) 22.5 (19.7-25.3) 14.7 (11.3-18.1) Best Response (CR rate) 40% (10%) 49% (2%) 64% (7%) 67% (7%) Disease control rate 64% 68% 86% 78% Median PFS (95%CI)- IMDC fav. risk- IMDC int./poor risk 9.0 (5.8-12.2)7.3 (6.9-7,7)9.7 (6.3-13.1) 16.1 (4.9-27.3)13.0 (6.8-19.2)10.7 (n.e.) 16.8 (10.4-23.2)25.4 (10.0-40.8)12.9 (9.4-16.4) 22.2 (11.7-23.7)22.2 (15.6-28.8)12.2 (0-24.6) 1 y OS rate (95%CI) 81.0 (75.8-86.2) 78.0 (63.8-92.2) 90.6 (84.8-96.4) 78.7 (70.5-86.9) AEs any grade 78% 79% 92% 95% AEs ≥ grade 3 40% 47% 47% 61%

Journal of Clinical OncologyVol. 43(5_suppl)
University of Bern (CH), German Cancer Research Center (DE), University of Cologne (DE), Johannes Gutenberg University Mainz (DE), Heidelberg University (DE), University Hospital of Bern (CH), University Hospital Heidelberg (DE), TUM Klinikum (DE), LMU Klinikum (DE), University Hospital Regensburg (DE), Medizinische Hochschule Hannover (DE), Universitätsklinik Marien Hospital Herne (DE), University Medical Center of the Johannes Gutenberg University Mainz (DE), Zimmer Biomet (Germany) (DE), University Hospital Münster (DE), National Center for Tumor Diseases (DE), University Hospital Schleswig-Holstein (DE), Essen University Hospital (DE), Universitätsklinikum Würzburg (DE), University Hospital Cologne (DE), Deutsches Konsortium für Translationale Krebsforschung (DE), Ludwig-Maximilians-Universität München (DE), Ruhr University Bochum (DE), University of Lübeck (DE)
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Openalex Percentile: Top 96%
Renal cell carcinoma treatment
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