Do tissue-based biomarkers in metastatic clear cell renal cell carcinoma perform better when derived from a metastatic site?

569 Background: Gene expression and mutation analyses in metastatic clear cell renal cell carcinoma (ccRCCs) have attempted to identify tumors that differentially respond to tyrosine kinase inhibitors (TKIs) and immunotherapy (IO) – broadly an angiogenic and an immunogenic clade. However, ccRCC is genomically heterogeneous and sequencing a single-region of a primary tumor does not necessarily represent the metastatic clone. We re-analyzed the biomarker results of the Phase III IMmotion151 trial, stratifying patients into primary-derived and metastasis-derived sequencing, to assess if metastasis-derived sequencing performed better in differentiating response to therapy. Methods: We replicated the IMmotion151 biomarker analyses on transcriptomic clusters and mutations on all patients and then stratified to 198 patients with metastasis-derived and 625 patients with primary-derived sequencing. We assessed progression-free survival (PFS) with Cox proportional hazards while controlling for IMDC risk group for atezolizumab and bevacizumab (atezo + bev) versus sunitinib based on previously-described angiogenic groupings: Cluster 1 (Angiogenic/Stromal), Cluster 2 (Angiogenic), and PBRM1 mutant tumors; and immunogenic groupings: Cluster 4 (T-effector/Proliferative), Cluster 5 (Proliferative), PBRM1 wild-type and CDKN2A -loss tumors. Results: PFS favored Sunitinib in angiogenic Cluster 2 and Clusters 1+2 when sequencing was derived from the metastatic site (HR 3.39, p=0.011; HR 2.91, p=0.005) but not the primary (HR 1.04 p=0.82; HR 1.02, p=0.88) (Table). A similar trend was observed for other angiogenic groups (Cluster 1 & PBRM1 mutant), but did not reach significance. PFS favoring atezo + bev for immunogenic groupings remained significant when derived from the primary. Conclusions: Angiogenic signatures distinctly favored sunitinib in advanced ccRCC when sequencing was derived from the metastasis but not the primary tumor. Immunogenic signatures favored atezo + bev even when derived from the primary site. A prevalent angiogenic signature throughout the primary tumor, that is now always present in the metastatic clone, may explain these results. Cox proportional hazards results for Atezo + Bev versus Sunitinib corrected for IMDC risk-group. HR >1 favors Sunitinib, HR <1 favors Atezo + Bev. Marker All patientsN= 823 for RNA-seqN= 715 patients for mutations Metastasis-Derived Sequencing OnlyN= 198 for RNA-seqN= 152 patients for mutations Primary Derived Sequencing OnlyN= 625 for RNA-seqN= 563 patients for mutations DFS- HR P- value DFS- HR P- value DFS- HR P- value Markers Favoring Angiogenic Response / Sunitinib Cluster 1- Angio/Stromal(n=98) 1.21 0.48 3.10 0.14 1.02 0.95 Cluster 2- Angio(n=245) 1.22 0.25 3.33 0.024 1.04 0.82 Cluster 1 + 2(n=343) 1.20 0.22 2.66 0.011 1.02 0.88 PBRM1 mutant(n=333) 1.05 0.73 1.72 0.13 0.86 0.33

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Journal
Journal of Clinical Oncology
Published
2025-02-10
DOI
https://doi.org/10.1200/jco.2025.43.5_suppl.569
Primary Topic
Renal cell carcinoma treatment
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article
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article

Do tissue-based biomarkers in metastatic clear cell renal cell carcinoma perform better when derived from a metastatic site?

Khaled Hafez, Srinivas Nallandhighal, Todd Matthew Morgan, Daniel Triner et al.
Journal of Clinical Oncology
Renal cell carcinoma treatment
article

Do tissue-based biomarkers in metastatic clear cell renal cell carcinoma perform better when derived from a metastatic site?

Khaled Hafez, Srinivas Nallandhighal, Todd Matthew Morgan, Daniel Triner, Steven Monda, Shuchi Gulati, Samuel D. Kaffenberger, Ganesh S. Palapattu, Zayne Knuth, Udit Singhal, Simpa S. Salami, Ulka N. Vaishampayan
article en

Abstract

569 Background: Gene expression and mutation analyses in metastatic clear cell renal cell carcinoma (ccRCCs) have attempted to identify tumors that differentially respond to tyrosine kinase inhibitors (TKIs) and immunotherapy (IO) – broadly an angiogenic and an immunogenic clade. However, ccRCC is genomically heterogeneous and sequencing a single-region of a primary tumor does not necessarily represent the metastatic clone. We re-analyzed the biomarker results of the Phase III IMmotion151 trial, stratifying patients into primary-derived and metastasis-derived sequencing, to assess if metastasis-derived sequencing performed better in differentiating response to therapy. Methods: We replicated the IMmotion151 biomarker analyses on transcriptomic clusters and mutations on all patients and then stratified to 198 patients with metastasis-derived and 625 patients with primary-derived sequencing. We assessed progression-free survival (PFS) with Cox proportional hazards while controlling for IMDC risk group for atezolizumab and bevacizumab (atezo + bev) versus sunitinib based on previously-described angiogenic groupings: Cluster 1 (Angiogenic/Stromal), Cluster 2 (Angiogenic), and PBRM1 mutant tumors; and immunogenic groupings: Cluster 4 (T-effector/Proliferative), Cluster 5 (Proliferative), PBRM1 wild-type and CDKN2A -loss tumors. Results: PFS favored Sunitinib in angiogenic Cluster 2 and Clusters 1+2 when sequencing was derived from the metastatic site (HR 3.39, p=0.011; HR 2.91, p=0.005) but not the primary (HR 1.04 p=0.82; HR 1.02, p=0.88) (Table). A similar trend was observed for other angiogenic groups (Cluster 1 & PBRM1 mutant), but did not reach significance. PFS favoring atezo + bev for immunogenic groupings remained significant when derived from the primary. Conclusions: Angiogenic signatures distinctly favored sunitinib in advanced ccRCC when sequencing was derived from the metastasis but not the primary tumor. Immunogenic signatures favored atezo + bev even when derived from the primary site. A prevalent angiogenic signature throughout the primary tumor, that is now always present in the metastatic clone, may explain these results. Cox proportional hazards results for Atezo + Bev versus Sunitinib corrected for IMDC risk-group. HR >1 favors Sunitinib, HR <1 favors Atezo + Bev. Marker All patientsN= 823 for RNA-seqN= 715 patients for mutations Metastasis-Derived Sequencing OnlyN= 198 for RNA-seqN= 152 patients for mutations Primary Derived Sequencing OnlyN= 625 for RNA-seqN= 563 patients for mutations DFS- HR P- value DFS- HR P- value DFS- HR P- value Markers Favoring Angiogenic Response / Sunitinib Cluster 1- Angio/Stromal(n=98) 1.21 0.48 3.10 0.14 1.02 0.95 Cluster 2- Angio(n=245) 1.22 0.25 3.33 0.024 1.04 0.82 Cluster 1 + 2(n=343) 1.20 0.22 2.66 0.011 1.02 0.88 PBRM1 mutant(n=333) 1.05 0.73 1.72 0.13 0.86 0.33

Journal of Clinical OncologyVol. 43(5_suppl)
University of Michigan (US), Michigan Institute of Urology (US), Michigan Medicine (US), UC Davis Comprehensive Cancer Center, University of California, Davis (US)
Openalex Percentile: Top 96%
Renal cell carcinoma treatment
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