使用骨扫描指数预测转移性激素敏感性前列腺癌男性患者出现去势抵抗性前列腺癌的时间
Prediction of Time to Castration-Resistant Prostate Cancer Using Bone Scan Index in Men with Metastatic Hormone-Sensitive Prostate Cancer.
作者信息
Miyoshi Yasuhide, Yoneyama Shuko, Kawahara Takashi, Hattori Yusuke, Teranishi Jun-Ichi, Ohta Jun-Ichi, Takebayashi Shigeo, Yokomizo Yumiko, Hayashi Narihiko, Uemura Hiroji
机构信息
Department of Urology and Renal Transplantation, Yokohama City University Medical Center, Yokohama, Japan.
出版信息
Urol Int. 2017;99(4):400-405. doi: 10.1159/000477131. Epub 2017 Jun 14.
INTRODUCTION
We evaluated bone scan index (BSI) as a predictive biomarker for time to castration-resistant prostate cancer (CRPC) in patients with metastatic hormone-sensitive prostate cancer (mHSPC).
MATERIALS AND METHODS
We identified 85 consecutive mHSPC patients treated with first-line androgen deprivation therapy. We analyzed the correlations between time to CRPC and clinicopathological characteristics, including age, prostate-specific antigen (PSA) level, Gleason score, clinical TNM stage, hemoglobin, lactate dehydrogenase, C-reactive protein, and BSI.
RESULTS
The median BSI was 2.7%. Progression to CRPC occurred in 55 (64.7%) patients and the median time to CRPC was 12.9 months. In multivariate analysis, 3 significant risk factors for time to CRPC were identified: age (>73 vs. ≤73 years; hazard ratio [HR] 0.53), p = 0.038, PSA level (>270 vs. ≤270 ng/mL; HR 0.53, p = 0.038), and BSI (>2.7 vs. ≤2.7%; HR 2.97, p < 0.001).
CONCLUSION
Age, PSA level, and BSI were found to be significant predictive factors for time to CRPC in patients with mHSPC.
引言
我们评估了骨扫描指数（BSI）作为转移性激素敏感性前列腺癌（mHSPC）患者去势抵抗性前列腺癌（CRPC）发生时间的预测生物标志物。
材料与方法
我们确定了85例接受一线雄激素剥夺治疗的连续mHSPC患者。我们分析了CRPC发生时间与临床病理特征之间的相关性，包括年龄、前列腺特异性抗原（PSA）水平、 Gleason评分、临床TNM分期、血红蛋白、乳酸脱氢酶、C反应蛋白和BSI。
结果
BSI中位数为2.7%。55例（64.7%）患者进展为CRPC，CRPC发生的中位时间为12.9个月。在多变量分析中，确定了CRPC发生时间的3个显著风险因素：年龄（>73岁 vs. ≤73岁；风险比[HR] 0.53），p = 0.038，PSA水平（>270 vs. ≤270 ng/mL；HR 0.53，p = 0.038），以及BSI（>2.7 vs. ≤2.7%；HR 2.97，p < 0.001）。
结论
年龄、PSA水平和BSI被发现是mHSPC患者CRPC发生时间的显著预测因素。
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