Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Int J Cancer. 2011 Apr 1;128(7):1697-702. doi: 10.1002/ijc.25502. Epub 2010 Jun 9.
Statistical models predicting cancer recurrence after surgery are based on biologic variables. We have shown previously that prostate cancer recurrence is related to both tumor biology and to surgical technique. Here, we evaluate the association between several biological predictors and biochemical recurrence across varying surgical experience. The study included two separate cohorts: 6,091 patients treated by open radical prostatectomy and an independent replication set of 2,298 patients treated laparoscopically. We calculated the odds ratios for biological predictors of biochemical recurrence-stage, Gleason grade and prostate-specific antigen (PSA)-and also the predictive accuracy (area under the curve, AUC) of a multivariable model, for subgroups of patients defined by the experience of their surgeon. In the open cohort, the odds ratio for Gleason score 8+ and advanced pathologic stage, though not PSA or Gleason score 7, increased dramatically when patients treated by surgeons with lower levels of experience were excluded (Gleason 8+: odds ratios 5.6 overall vs. 13.0 for patients treated by surgeons with 1,000+ prior cases; locally advanced disease: odds ratios of 6.6 vs. 12.2, respectively). The AUC of the multivariable model was 0.750 for patients treated by surgeons with 50 or fewer cases compared to 0.849 for patients treated by surgeons with 500 or more. Although predictiveness was lower overall for the independent replication set cohort, the main findings were replicated. Surgery confounds biology. Although our findings have no direct clinical implications, studies investigating biological variables as predictors of outcome after curative resection of cancer should consider the impact of surgeon-specific factors.
用于预测手术后癌症复发的统计模型基于生物学变量。我们之前已经表明,前列腺癌的复发与肿瘤生物学和手术技术都有关。在这里,我们评估了几个生物学预测因子与不同手术经验之间的生化复发之间的关联。该研究包括两个独立的队列:6091 例接受开放式根治性前列腺切除术的患者和 2298 例接受腹腔镜治疗的独立复制队列。我们计算了生物学预测因子(包括肿瘤分期、Gleason 分级和前列腺特异性抗原(PSA))对生化复发的优势比,并且还计算了多变量模型的预测准确性(曲线下面积,AUC),根据外科医生经验的不同,将患者分为亚组。在开放式队列中,排除经验较少的外科医生治疗的患者后,Gleason 评分 8+和高级病理分期的优势比(尽管 PSA 或 Gleason 评分 7 不是)显著增加(Gleason 8+:总体优势比为 5.6 对 13.0,外科医生治疗的患者有 1000 例以上的病例;局部进展性疾病:优势比分别为 6.6 和 12.2)。多变量模型的 AUC 对于外科医生治疗的患者为 50 例或更少的患者为 0.750,对于外科医生治疗的患者为 500 例或更多的患者为 0.849。尽管独立复制队列的预测性总体较低,但主要发现得到了复制。手术会混淆生物学。尽管我们的研究结果没有直接的临床意义,但研究癌症根治性切除术后生物学变量作为预后预测因子的研究应考虑外科医生特定因素的影响。