Abstract
Introduction: Treatment of metastatic urothelial carcinoma (mUC) has evolved. The efficacy of chemotherapy (CT) and immune checkpoint inhibitors (ICI) against UC with Variant Differentiation (UC-VD) or pure variant histology (PVH) is rarely reported. This study assessed the clinical impact of first-line (1L) CT and/or ICI in patients with UC-VD or PVH. Methods: This retrospective study included patients treated with 1L palliative CT or ICI at the West German Tumor Center Essen (2006–2024). Treatment allocation reflected real-world clinical decision-making and was not randomized. Primary endpoint was objective response rate (ORR); secondary endpoints were progression-free survival (PFS) and overall survival (OS). Kaplan-Meier analysis, log-rank tests, and descriptive statistics were used. Results: 42 patients were analyzed: 45.2% received ICI (73.6% monotherapy, 26.4% combination/maintenance), 54.8% CT. Median age was 67.7 years in ICI group und 61.2 in CT group. PVH was predominant in CT group (65.2%), while UC-VD with squamous differentiation was common in ICI group (42.1%). ORR of ICI was 52.7%. As secondary endpoints, median PFS and OS were 7.8 months (95% CI: 4.3–19.0) and 12.4 months in ICI group; for CT group, 6.3 months (95% CI: 4.5–11.6) and 10.4 months (95% CI: 1.9–58.2), respectively. ORR was 52.7% (ICI) vs. 39.1% (CT). No significant differences were observed in PFS (p = 0.316), OS (p = 0.318), or ORR (p = 0.515). Conclusions: 1L ICI demonstrated numerically higher response rates compared to 1L CT, however, these results are purely descriptive and serve only to inform hypothesis-building, without reaching statistical significance. Survival outcomes were also better in ICI group, albeit without statistical significance, however these should be interpreted cautiously given the retrospective design and limited sample size. Given emerging combination strategies involving ICI or targeted agents, these findings support further investigation of ICI in this diverse and underrepresented population. Limitations: small sample size and retrospective design.
