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A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
Published on: March 6, 2018
Full-Component Chart-Derived Lee Score, Upfront Androgen Receptor Signaling Inhibitor Selection, and Competing
Koichiro Kurokawa1, Satoshi Yamamoto1, Keita Higa1
1Department of Urology, Kimitsu Chuo Byoin, Kisarazu, Chiba, Japan.
Geriatrics & Gerontology International
|July 31, 2026
Summary
A new score may indicate less treatment intensification for prostate cancer patients. Higher scores were linked to increased non-cancer deaths, suggesting a need for direct functional assessments in treatment decisions.
Area of Science:
- Oncology
- Prostate Cancer Research
- Clinical Outcomes
Background:
- Metastatic hormone-sensitive prostate cancer (mHSPC) management involves complex treatment decisions.
- Androgen receptor signaling inhibitors (ARSIs) are a key treatment modality.
- Predictive tools for treatment selection and prognosis are needed.
Purpose of the Study:
- To investigate the association of a chart-derived Lee score with upfront ARSI use.
- To examine the relationship between the Lee score and competing mortality in mHSPC patients.
Main Methods:
- Retrospective analysis of 96 mHSPC patients receiving first-line docetaxel-free therapy.
- Utilized a 12-component chart-derived Lee score, analyzed continuously.
- Assessed upfront ARSI receipt and other-cause mortality using Firth logistic regression and Cox/Fine-Gray models.
Main Results:
- A higher Lee score showed a trend towards inverse association with upfront ARSI receipt (OR 0.84, p=0.066).
- The Lee score was significantly associated with increased other-cause mortality (HR 1.16, p=0.028).
- Significant differences existed between included and excluded patients regarding demographics and treatment.
Conclusions:
- The Lee score may indicate reduced treatment intensification in mHSPC.
- The score is associated with non-cancer mortality, highlighting its prognostic value.
- Exploratory findings suggest direct functional assessment is crucial for personalized treatment.