Real-World Predictors of Response to Immunotherapy in Metastatic Renal Cell Carcinoma: The Emerging Role of the Urologist in Immuno-Oncology

Objective: Immunotherapy has transformed the treatment of metastatic renal cell carcinoma (mRCC), with urologists playing a central role in systemic treatment selection through multidisciplinary decision-making, patient selection, and treatment sequencing. Identifying predictors of response is essential to personalize therapy and improve outcomes. Material and Methods: We conducted a retrospective, single-center study of 32 patients with mRCC who received immunotherapy: 15 received first-line nivolumab-ipilimumab, 3 pembrolizumab-axitinib, 13 second-line nivolumab, and 1 third-line nivolumab. Clinical, histological, and prognostic variables (International Metastatic Renal Cell Carcinoma Database Consortium (IMDC), Meet-URO, FAN score), and blood biomarkers (neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), eosinophil percentage) were assessed using Kaplan-Meier analysis with Log rank tests and Cox regression. Given the small sample size, results should be interpreted with caution. Results: A total of 32 patients were included, with the majority classified as IMDC intermediate risk. The Meet-URO score showed superior prognostic value for overall survival compared with IMDC (median 21 vs. 1– 2 months across groups; 95% CI 1.83– 20.17; p=0.043). A post-treatment NLR below 2.44 predicted improved progression-free survival (median 17 vs. 7 months; 95% CI 7.4– 26.2; p=0.014) and remained independently significant. Neither FAN score nor eosinophil percentage provided prognostic discrimination. No survival differences were observed between treatment lines. Cytoreductive nephrectomy (78%) was associated with longer progression-free survival (9 vs. 3 months; HR: 3.72, 95% CI 1.15– 12.02; p=0.028) and overall survival (21 vs. 3 months; HR 4.03, 95% CI 1.14– 14.19; p=0.030). Conclusion: Cytoreductive nephrectomy, early NLR, and the Meet-URO score may have potential value for risk stratification in patients with mRCC receiving immunotherapy. In a real-world urology-led setting, these factors may support clinical decision-making and treatment selection. These findings should be considered exploratory and hypothesis-generating, given the limited sample size, and warrant confirmation in larger prospective studies. Keywords: renal cell carcinoma, immunotherapy, neutrophil-to-lymphocyte ratio, cytoreductive nephrectomy, survival analysis, urologic oncology

Authors

Institutions

Publication Details

Journal
Research and Reports in Urology
Published
2026-05-01
DOI
https://doi.org/10.2147/rru.s594124
Primary Topic
Renal cell carcinoma treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Real-World Predictors of Response to Immunotherapy in Metastatic Renal Cell Carcinoma: The Emerging Role of the Urologist in Immuno-Oncology

Francisco Gutiérrez-Tejero, A. Zambudio-Munuera, Celia Abad Rodriguez-Hesles, Virginia Yuste-Mascarós et al.
Research and Reports in Urology
Renal cell carcinoma treatment
article

Real-World Predictors of Response to Immunotherapy in Metastatic Renal Cell Carcinoma: The Emerging Role of the Urologist in Immuno-Oncology

Francisco Gutiérrez-Tejero, A. Zambudio-Munuera, Celia Abad Rodriguez-Hesles, Virginia Yuste-Mascarós, Miguel Arrabal-Martin, Miguel Angel Arrabal-Polo
article en

Abstract

Objective: Immunotherapy has transformed the treatment of metastatic renal cell carcinoma (mRCC), with urologists playing a central role in systemic treatment selection through multidisciplinary decision-making, patient selection, and treatment sequencing. Identifying predictors of response is essential to personalize therapy and improve outcomes. Material and Methods: We conducted a retrospective, single-center study of 32 patients with mRCC who received immunotherapy: 15 received first-line nivolumab-ipilimumab, 3 pembrolizumab-axitinib, 13 second-line nivolumab, and 1 third-line nivolumab. Clinical, histological, and prognostic variables (International Metastatic Renal Cell Carcinoma Database Consortium (IMDC), Meet-URO, FAN score), and blood biomarkers (neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), eosinophil percentage) were assessed using Kaplan-Meier analysis with Log rank tests and Cox regression. Given the small sample size, results should be interpreted with caution. Results: A total of 32 patients were included, with the majority classified as IMDC intermediate risk. The Meet-URO score showed superior prognostic value for overall survival compared with IMDC (median 21 vs. 1– 2 months across groups; 95% CI 1.83– 20.17; p=0.043). A post-treatment NLR below 2.44 predicted improved progression-free survival (median 17 vs. 7 months; 95% CI 7.4– 26.2; p=0.014) and remained independently significant. Neither FAN score nor eosinophil percentage provided prognostic discrimination. No survival differences were observed between treatment lines. Cytoreductive nephrectomy (78%) was associated with longer progression-free survival (9 vs. 3 months; HR: 3.72, 95% CI 1.15– 12.02; p=0.028) and overall survival (21 vs. 3 months; HR 4.03, 95% CI 1.14– 14.19; p=0.030). Conclusion: Cytoreductive nephrectomy, early NLR, and the Meet-URO score may have potential value for risk stratification in patients with mRCC receiving immunotherapy. In a real-world urology-led setting, these factors may support clinical decision-making and treatment selection. These findings should be considered exploratory and hypothesis-generating, given the limited sample size, and warrant confirmation in larger prospective studies. Keywords: renal cell carcinoma, immunotherapy, neutrophil-to-lymphocyte ratio, cytoreductive nephrectomy, survival analysis, urologic oncology

Research and Reports in UrologyVol. Volume 18
Universidad de Granada (ES), Instituto de Investigación Biosanitaria de Granada (ES)
Peace, Justice and strong institutions
Openalex Percentile: Top 6%
Renal cell carcinoma treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.