Le T, Shahriari P, Hopkins L, Faught W, Fung Kee Fung M
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Ottawa, Ottawa General Hospital, 501 Smyth Road, Ottawa, Ontario, Canada.
Int J Gynecol Cancer. 2006 May-Jun;16(3):986-90. doi: 10.1111/j.1525-1438.2006.00594.x.
The objective of this study was to study the significance of tumor necrosis documented at the time of interval surgical debulking after neoadjuvant chemotherapy. Retrospective chart reviews were carried out from 1997 to 2005 to identify ovarian cancer patients treated with neoadjuvant chemotherapy. Patients' demographics together with disease characteristics, treatment-related variables, and outcomes were recorded. Cox proportional hazard models were built to model time to progression using predictor variables such as age, cancer stage, tumor grade, residual disease, percentage change in CA125 level from baseline, and degree of necrosis in resected tumor specimens. One hundred one patients were included in the study. Optimal debulking was achieved in 74% of the patients. Cox regressions revealed three significant predictive variables of time to first progression: younger age (hazard ratio [HR] = 0.95, 95% CI 0.92-0.98, P= 0.004), residual disease (P= 0.048), and the absence/minimal tumor necrosis after three cycles of neoadjuvant chemotherapy (HR = 1.97, 95% CI 1.01-3.87, P= 0.048). The estimated median survival was 50.66 months (95% CI 46.12-55.20). The lack of or minimal tumor necrosis after neoadjuvant chemotherapy is an independent risk factor for recurrent disease.
本研究的目的是探讨新辅助化疗后间隔期手术减瘤时记录的肿瘤坏死的意义。对1997年至2005年期间接受新辅助化疗的卵巢癌患者进行回顾性病历审查。记录患者的人口统计学信息以及疾病特征、治疗相关变量和结果。构建Cox比例风险模型,使用年龄、癌症分期、肿瘤分级、残留疾病、CA125水平相对于基线的变化百分比以及切除肿瘤标本中的坏死程度等预测变量来模拟疾病进展时间。101名患者纳入本研究。74%的患者实现了最佳减瘤。Cox回归显示了首次进展时间的三个显著预测变量:年龄较小(风险比[HR]=0.95,95%可信区间0.92-0.98,P=0.004)、残留疾病(P=0.048)以及新辅助化疗三个周期后无/最小肿瘤坏死(HR=1.97,95%可信区间1.01-3.87,P=0.048)。估计中位生存期为50.66个月(95%可信区间46.12-55.20)。新辅助化疗后缺乏或最小肿瘤坏死是疾病复发的独立危险因素。