Assessing Response Durability and Survival After Second-Line Pembrolizumab in Advanced Urothelial Carcinoma: A Multicenter Validation of a Risk Model

  • 0Medical Oncology Department, King Fahad Specialist Hospital, Dammam, Saudi Arabia.

Summary

This summary is machine-generated.

A new risk model predicts overall survival and response duration for metastatic urothelial carcinoma (UC) patients receiving second-line pembrolizumab. The model identifies patients who may benefit from alternative treatments.

Area Of Science

  • Oncology
  • Immunotherapy
  • Clinical Trial Design

Background

  • Metastatic urothelial carcinoma (UC) is a challenging diagnosis.
  • Pembrolizumab has shown efficacy as a second-line treatment for advanced UC.
  • Predictive models are needed to personalize treatment strategies and improve patient outcomes.

Purpose Of The Study

  • To develop and validate a risk model for predicting overall survival (OS) and response duration in patients with advanced UC treated with second-line pembrolizumab.
  • To identify clinical factors associated with treatment outcomes.
  • To stratify patients into risk groups for tailored therapeutic decisions.

Main Methods

  • Retrospective analysis of 565 patients with advanced UC treated with second-line pembrolizumab.
  • Univariate and multivariate Cox regression to identify predictors of time to progression (TTP).
  • Development of a risk model based on independent TTP predictors and validation in an independent cohort.

Main Results

  • Key predictors of inferior TTP included short interval from prior chemotherapy (<6 months), liver metastasis, and poor ECOG Performance Status (>1).
  • The validated risk model stratified patients into favorable, intermediate, and poor-risk groups, demonstrating significant differences in median OS (21.6, 11.7, and 4.9 months, respectively).
  • Response duration also varied significantly across risk groups, with median durations of 38.9, 13.8, and 7.8 months for favorable, intermediate, and poor-risk groups, respectively.

Conclusions

  • A validated risk model effectively predicts OS and response durability for advanced UC patients receiving second-line pembrolizumab.
  • The model can aid in identifying patients who may require alternative treatment strategies, particularly those in the poor-risk group.
  • This tool supports personalized medicine approaches in advanced urothelial carcinoma treatment.