Porter Christopher R, Kodama Koichi, Gibbons Robert P, Correa Roy, Chun Felix K-H, Perrotte Paul, Karakiewicz Pierre I
Department of Urology, Virginia Mason Medical Center, Seattle, Washington 98101, USA.
J Urol. 2006 Aug;176(2):569-74. doi: 10.1016/j.juro.2006.03.094.
We report on 25-year cancer control and survival outcomes after radical prostatectomy in a single center series of patients treated during a 40-year period.
Between 1954 and 1994, 787 consecutive patients underwent radical prostatectomy at Virginia Mason Medical Center in Seattle, Washington. Kaplan-Meier 25-year probabilities of prostate cancer specific, overall, prostate specific antigen progression-free, local and distant progression-free survival were determined. Multivariate Cox regression models addressed prostate cancer specific mortality.
Prostate cancer specific survival, overall survival, prostate specific antigen progression-free survival, local and distant progression-free survival ranged from 99.0% to 81.5%, 93.5% to 19.3%, 84.8% to 54.5%, 95.3% to 87.8% and 95.9% to 78.2%, respectively. In univariate analyses pathological stage, surgical margin status, pathological Gleason sum, delivery of hormonal therapy and radiotherapy represented statistically significant predictors of prostate cancer specific mortality (all p < or =0.001). In multivariate analyses only Gleason sum (p = 0.03) and delivery of hormonal therapy (p < 0.001) remained significant.
This is one of the most mature radical prostatectomy series. It demonstrates that long-term biochemical cancer control outcomes after radical prostatectomy might be suboptimal. However, local and distant control outcomes are excellent, and cancer specific mortality is minimal even 25 years after surgery.
我们报告了在40年期间于单一中心接受治疗的一系列患者行根治性前列腺切除术后25年的癌症控制和生存结果。
1954年至1994年期间,华盛顿州西雅图市弗吉尼亚梅森医疗中心连续787例患者接受了根治性前列腺切除术。确定了前列腺癌特异性、总体、无前列腺特异性抗原进展、局部和远处无进展生存的Kaplan-Meier 25年概率。多变量Cox回归模型分析了前列腺癌特异性死亡率。
前列腺癌特异性生存、总体生存、无前列腺特异性抗原进展生存、局部和远处无进展生存分别为99.0%至81.5%、93.5%至19.3%、84.8%至54.5%、95.3%至87.8%和95.9%至78.2%。单变量分析中,病理分期、手术切缘状态、病理Gleason评分、激素治疗和放疗的实施是前列腺癌特异性死亡率的统计学显著预测因素(所有p≤0.001)。多变量分析中,只有Gleason评分(p = 0.