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KMID : 1001020230210030257
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Journal of Urologic Oncology
2023 Volume.21 No. 3 p.257 ~ p.263
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Predictive Factors of Abiraterone Response in Patients With High-Risk Metastatic Hormone-Sensitive Prostate Cancer
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Cho Jae-Young
Suh Jun-Gyo
You Dal-San
Jeong In-Gab
Hong Jun-Hyuk
Ahn Han-Jong
Lim Bum-Jin
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Abstract
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Purpose : This study aimed to identify predictive factors for the response to abiraterone in patients with high-risk metastatic hormone-sensitive prostate cancer (mHSPC).
Materials and Methods : This study analyzed the clinical characteristics of 167 patients with high-risk mHSPC who received abiraterone. Univariate and multivariable Cox proportional hazard regression analyses were conducted to identify predictive factors for castration-resistant prostate cancer (CRPC)-free survival and cancer-specific survival.
Results : The mean age at presentation was 71.62±8.12 years. The prostate-specific antigen level was 218 ng/mL (interquartile range, 70-654 ng/mL). Of the 167 patients, 118 (72%) had a biopsy Gleason grade of 5, 43 patients (28.7%) had CRPC, and 30 patients (18.0%) died after a mean follow-up period of 13.5 months. In the multivariable Cox proportional hazard regression analyses for CRPC-free survival, a Gleason grade of 5 (hazard ratio [HR], 2.888; 95% confidence interval [CI], 1.133-7.361; p=0.026) and bone lesions ≥10 (HR, 4.194; 95% CI, 1.760-9.997; p=0.001) were significantly associated with CRPC-free survival. In the multivariable Cox proportional hazard regression analyses for cancer-specific survival, bone lesions ≥10 (HR, 3.185; 95% CI, 1.215-8.348; p=0.001) was significantly associated with cancer-specific survival.
Conclusions : Patients with bone lesions ≥10 and Gleason grade of 5 are at higher risk of developing CRPC, and bone lesions ≥10 is at higher risk of cancer-specific survival in high-risk mHSPC treated with abiraterone.
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KEYWORD
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Abiraterone acetate, Neoplasm grading, Metastatic hormone-sensitive prostate cancer, Castration-resistant prostate cancer (CRPC)-free survival, Cancer-specific survival, Predictive factor
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