IUC26678-94 Impact of Metastatic Patterns on First-Line Therapy in mRCC: Meet-URO 33

Abstract Background Metastatic site is a well-recognized prognostic factor in metastatic renal cell carcinoma (mRCC). Endocrine metastases, particularly to the pancreas and thyroid, are associated with favorable outcomes, whereas bone, liver, and brain metastases are linked to poorer prognosis. However, whether these metastatic patterns influence first-line treatment selection remains unclear. Methods Meet-URO 33 is an ongoing Italian multicenter retrospective/prospective observational study including patients with mRCC treated with first-line immune checkpoint inhibitor plus immune checkpoint inhibitor (ICI–ICI), immune checkpoint inhibitor plus tyrosine kinase inhibitor (ICI–TKI), or tyrosine kinase inhibitor (TKI) monotherapy. Patients were classified as having favorable-prognosis metastases (pancreatic and/or thyroid only) or poor-prognosis metastases (bone, liver, and/or brain only). Associations between metastatic patterns, treatment selection, progression-free survival (PFS), and overall survival (OS) were assessed. Results Among 2,027 enrolled patients, 189 (9%) had favorable-prognosis metastases (pancreas 8%, thyroid 1%), while 1,022 (50%) had poor-prognosis metastases (bone 30%, liver 15%, brain 5%). Patients with favorable-prognosis metastases more frequently received first-line TKI monotherapy than ICI–TKI or ICI–ICI (17% vs. 10% vs. 3%; p<0.001). Conversely, patients with poor-prognosis metastases were more commonly treated with ICI–TKI than ICI–ICI or TKI alone (50% vs. 38% vs. 33%; p<0.001). On multivariable analysis, favorable-prognosis metastases were independently associated with improved OS (HR 0.34, 95% CI 0.19–0.61; p<0.001) and PFS (HR 0.53, 95% CI 0.37–0.76; p<0.001), whereas poor-prognosis metastases were independently associated with worse OS (HR 1.32, 95% CI 1.11–1.57; p = 0.002) and PFS (HR 1.20, 95% CI 1.04–1.38; p = 0.013). Conclusions Favorable- and poor-prognosis metastatic patterns are associated with distinct survival outcomes and different first-line treatment choices in mRCC. Although the observational design precludes causal inference, TKI-based strategies appear to play a central role in both settings. TKI monotherapy is more frequently used in patients with favorable-prognosis metastases, likely reflecting their indolent and angiogenic biology, whereas ICI–TKI combinations are preferred in poor-prognosis disease, where tumor shrinkage and disease control are priorities. Prospective studies are warranted to determine the predictive value of these metastatic patterns across different treatment strategies.

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Journal
The Oncologist
Published
2026-08-21
DOI
https://doi.org/10.1093/oncolo/oyag286.023
Primary Topic
Renal cell carcinoma treatment
Type
article
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article

IUC26678-94 Impact of Metastatic Patterns on First-Line Therapy in mRCC: Meet-URO 33

L Bonomi, L Formisano, A Mennitto, F Maines et al.
The Oncologist
Renal cell carcinoma treatment
article

IUC26678-94 Impact of Metastatic Patterns on First-Line Therapy in mRCC: Meet-URO 33

L Bonomi, L Formisano, A Mennitto, F Maines, S Chiellino, C Masini, S Buti, S E Rebuzzi, R Filippi, M Di Napoli, E Peretto, E Verzoni, P A Zucali, C Lolli, C Messina, G Fornarini, D Bimbatti, M Fanelli, M Sorarù
article en

Abstract

Abstract Background Metastatic site is a well-recognized prognostic factor in metastatic renal cell carcinoma (mRCC). Endocrine metastases, particularly to the pancreas and thyroid, are associated with favorable outcomes, whereas bone, liver, and brain metastases are linked to poorer prognosis. However, whether these metastatic patterns influence first-line treatment selection remains unclear. Methods Meet-URO 33 is an ongoing Italian multicenter retrospective/prospective observational study including patients with mRCC treated with first-line immune checkpoint inhibitor plus immune checkpoint inhibitor (ICI–ICI), immune checkpoint inhibitor plus tyrosine kinase inhibitor (ICI–TKI), or tyrosine kinase inhibitor (TKI) monotherapy. Patients were classified as having favorable-prognosis metastases (pancreatic and/or thyroid only) or poor-prognosis metastases (bone, liver, and/or brain only). Associations between metastatic patterns, treatment selection, progression-free survival (PFS), and overall survival (OS) were assessed. Results Among 2,027 enrolled patients, 189 (9%) had favorable-prognosis metastases (pancreas 8%, thyroid 1%), while 1,022 (50%) had poor-prognosis metastases (bone 30%, liver 15%, brain 5%). Patients with favorable-prognosis metastases more frequently received first-line TKI monotherapy than ICI–TKI or ICI–ICI (17% vs. 10% vs. 3%; p<0.001). Conversely, patients with poor-prognosis metastases were more commonly treated with ICI–TKI than ICI–ICI or TKI alone (50% vs. 38% vs. 33%; p<0.001). On multivariable analysis, favorable-prognosis metastases were independently associated with improved OS (HR 0.34, 95% CI 0.19–0.61; p<0.001) and PFS (HR 0.53, 95% CI 0.37–0.76; p<0.001), whereas poor-prognosis metastases were independently associated with worse OS (HR 1.32, 95% CI 1.11–1.57; p = 0.002) and PFS (HR 1.20, 95% CI 1.04–1.38; p = 0.013). Conclusions Favorable- and poor-prognosis metastatic patterns are associated with distinct survival outcomes and different first-line treatment choices in mRCC. Although the observational design precludes causal inference, TKI-based strategies appear to play a central role in both settings. TKI monotherapy is more frequently used in patients with favorable-prognosis metastases, likely reflecting their indolent and angiogenic biology, whereas ICI–TKI combinations are preferred in poor-prognosis disease, where tumor shrinkage and disease control are priorities. Prospective studies are warranted to determine the predictive value of these metastatic patterns across different treatment strategies.

The OncologistVol. 31(Supplement_2)
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT), University of Parma (IT), University of Udine (IT), Humanitas University (IT), Azienda Ospedaliera Citta' della Salute e della Scienza di Torino (IT), Ospedale Santa Chiara (IT), Azienda Sanitaria Unità Locale di Reggio Emilia (IT), Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IT), Ospedale Papa Giovanni XXIII (IT), Istituto Oncologico Veneto (IT), University Hospitals Parma Medical Center (US), Federico II University Hospital (IT), Azienda Ospedaliero Universitaria Maggiore della Carita (IT), Department of Medical Sciences (BY), Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" (IT), Azienda Ospedaliera Ospedale Maggiore (IT), Azienda di Rilievo Nazionale ed Alta Specializzazione (IT), Ospedale Policlinico San Martino (IT), Policlinico San Matteo Fondazione (IT), Ospedale di Prato Santo Stefano (IT), Fondazione IRCCS Istituto Nazionale dei Tumori (IT), University of Turin (IT), University of Naples Federico II (IT)
No poverty
Openalex Percentile: Top 11%
Renal cell carcinoma treatment
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