Daskivich Timothy J, Regan Meredith M, Oh William K
Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA.
Urology. 2007 Sep;70(3):527-31. doi: 10.1016/j.urology.2007.04.035.
To investigate whether the prostate-specific antigen doubling time (PSADT) and velocity (PSAV) at the emergence of androgen-independent prostate cancer (AIPC) provide independent prognostic information.
Patients treated with chemotherapy were identified in an institutional prostate cancer database. The PSADT was calculated using PSA values from the first increase greater than the PSA nadir during androgen deprivation therapy until the start of the next treatment. The PSAV was calculated using the same PSA values over time. The association with overall survival (OS) from the date of AIPC was analyzed using the Cox proportional hazards regression model.
PSADT and PSAV at the emergence of AIPC were calculated in 91 patients. On univariate analysis, a shorter PSADT and greater PSAV were associated with decreased OS. On multivariate analysis, a PSADT of 12 weeks or less (hazard ratio 3.2), PSAV greater than 10 ng/mL/yr (hazard ratio 2.8), PSA nadir greater than 0.2 with ADT, low hemoglobin, and type of chemotherapy persisted as significant predictors of decreased OS (each P <0.01). A rapid PSADT (12 weeks or less) and high PSAV (greater than 10 ng/mL/yr) predicted for the worst prognosis (25 months median OS, unadjusted). A slow PSADT (greater than 12 weeks), and low PSAV (10 ng/mL/yr or less) predicted for the best prognosis (75 months); other combinations had intermediate prognoses (49 and 50 months).
The PSAV at the start of AIPC contributes prognostic information independent of the PSADT in patients receiving chemotherapy. Future studies should investigate the relative contribution of each of these factors in predicting survival.
研究去势抵抗性前列腺癌(AIPC)出现时的前列腺特异性抗原倍增时间(PSADT)和速度(PSAV)是否能提供独立的预后信息。
在一个机构性前列腺癌数据库中识别接受化疗的患者。PSADT使用雄激素剥夺治疗期间首次PSA值升高超过PSA最低点直至下一次治疗开始时的PSA值来计算。PSAV使用相同时间段内的PSA值随时间变化来计算。使用Cox比例风险回归模型分析从AIPC出现之日起与总生存期(OS)的相关性。
对91例患者计算了AIPC出现时的PSADT和PSAV。单因素分析显示,较短的PSADT和较高的PSAV与OS降低相关。多因素分析显示,PSADT为12周或更短(风险比3.2)、PSAV大于10 ng/mL/年(风险比2.8)、ADT时PSA最低点大于0.2、血红蛋白水平低以及化疗类型仍然是OS降低的显著预测因素(各P<0.01)。快速的PSADT(12周或更短)和高PSAV(大于10 ng/mL/年)预示着最差的预后(中位OS未调整为25个月)。缓慢的PSADT(大于12周)和低PSAV(10 ng/mL/年或更低)预示着最佳的预后(75个月);其他组合具有中等预后(49和50个月)。
AIPC开始时的PSAV为接受化疗的患者提供了独立于PSADT的预后信息。未来的研究应调查这些因素各自在预测生存方面的相对贡献。