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Patient-derived Orthotopic Xenograft Models for Human Urothelial Cell Carcinoma and Colorectal Cancer Tumor Growth and Spontaneous Metastasis
Published on: May 12, 2019
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Risk Classification of Patients With Advanced Urothelial Carcinoma Treated With Enfortumab Vedotin
Gaku Ishikawa1, Yuto Matsushita1, Yuichi Kitagawa2
1Department of Urology, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Cancer Diagnosis & Prognosis
|November 6, 2024
Summary
High C-reactive protein and hypercalcemia predict outcomes for advanced urothelial carcinoma patients treated with enfortumab vedotin (EV). A new risk model using these factors improves outcome prediction for this cancer treatment.
Area of Science:
- Oncology
- Medical Science
Background:
- Enfortumab vedotin (EV) is a key treatment for advanced urothelial carcinoma (UC) post-platinum chemotherapy and immunotherapy.
- Limited data exists on prognostic factors and risk stratification for patients receiving EV.
- Identifying predictive factors is crucial for optimizing treatment strategies.
Purpose of the Study:
- To identify clinical prognostic factors for advanced UC patients treated with EV.
- To develop and validate a novel risk classification model based on these factors.
Main Methods:
- A multicenter retrospective study of advanced UC patients treated with EV.
- Assessment of progression-free survival (PFS) and overall survival (OS).
- Investigation of prognostic factors and validation of a risk classification model.
Main Results:
- Median PFS was 7.1 months and median OS was 16.3 months.
- Elevated C-reactive protein (CRP ≥0.5 mg/dl) and hypercalcemia (>10.2 mg/dl) were significant negative prognostic factors for both PFS and OS.
- A three-group risk classification model demonstrated significant differences in PFS and OS (c-indices: PFS 0.766, OS 0.800).
Conclusions:
- The developed risk classification model incorporating CRP and hypercalcemia effectively predicts outcomes in advanced UC patients treated with EV.
- This model aids in stratifying patients and anticipating treatment response.

