Long-term survival following anti-PD-(L)1 monotherapy in advanced urothelial cancer and an assessment of potential prognostic clinical factors: a multicentre observational study
Background Anti-PD-(L)1 agent are approved as first- and second-line treatment options in advanced urothelial cancer (UC), but information about long-term survival is scarce. There is a need for prognostic factors, as these may help in the decision-making concerning anti-PD-(L)1 in patients with UC....
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Veröffentlicht in: | BJC Reports 2024-10, Vol.2 (1), p.84-8, Article 84 |
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Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Background
Anti-PD-(L)1 agent are approved as first- and second-line treatment options in advanced urothelial cancer (UC), but information about long-term survival is scarce. There is a need for prognostic factors, as these may help in the decision-making concerning anti-PD-(L)1 in patients with UC. Here, we examined long-term survival following anti-PD-(L)1 in advanced UC and assessed clinical factors for their correlation with survival.
Methods
We collected data from patients with advanced UC treated with anti-PD-(L)1 between 2013 and 2023. Overall- and progression-free survival (OS, PFS) were determined using the Kaplan-Meier method. Independent variables were analysed by uni- and multivariate Cox regression for their association with OS and PFS.
Results
Survival analyses included 552 patients. Patient characteristics in our cohort were consistent with those of a typical advanced UC population. After median follow-up of 49 months, five-year OS and PFS rates were 16.0% and 6.9% respectively. The absence of visceral and/or bone metastases and elevated C-reactive protein level, gamma-glutamyltransferase level and neutrophil-to-lymphocyte ratio were identified as favourable prognostic factors for OS.
Conclusions
A selected subset of patients with advanced UC may experience long-term clinical benefit from anti-PD-(L)1 treatment. We identified prognostic factors that might be used for risk assessment and clinical trial stratification. |
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ISSN: | 2731-9377 2731-9377 |
DOI: | 10.1038/s44276-024-00104-3 |