Wils J, van Geuns H, Baak J
Department of Internal Medicine, Laurentius Hospital, Roermond, The Netherlands.
Cancer. 1988 May 1;61(9):1920-5. doi: 10.1002/1097-0142(19880501)61:9<1920::aid-cncr2820610933>3.0.co;2-2.
In 73 patients with International Federation of Gynecology and Obstetrics (FIGO) Stage III and IV ovarian cancer the prognostic significance of morphometric and flow-cytometric features has been evaluated in comparison with more commonly used prognostic factors such as stage and tumor mass. Single features associated with prognosis were as follows: FIGO stage, bulky disease, mean and standard deviation of nuclear area, cellular DNA content, mitotic activity index, and volume percentage epithelium. Multivariate analysis showed that the most significant prognostic combination of features consisted of mean nuclear area, presence or absence of bulky disease, and FIGO stage (in sequence of decreasing importance; Mantel-Cox = 23.07, P less than 0.00001). On the basis of these factors patients with a poor prognosis can be identified. On the other hand two features were associated with an excellent prognosis namely a low mitotic index and a low-volume percentage epithelium. It is concluded that morphometric and flow-cytometric analysis in combination with clinical features can provide significant information to predict the prognosis of patients with advanced ovarian cancer treated with debulking surgery and platinum-based chemotherapy. On the basis of our data a tentative proposal for future therapeutic approaches is made.
在73例国际妇产科联盟(FIGO)III期和IV期卵巢癌患者中,已对形态计量学和流式细胞术特征的预后意义进行了评估,并与更常用的预后因素如分期和肿瘤大小进行了比较。与预后相关的单一特征如下:FIGO分期、大块病变、核面积的均值和标准差、细胞DNA含量、有丝分裂活性指数以及上皮体积百分比。多变量分析显示,最显著的预后特征组合包括平均核面积、有无大块病变以及FIGO分期(按重要性递减顺序排列;Mantel-Cox = 23.07,P小于0.00001)。基于这些因素,可以识别出预后较差的患者。另一方面,有两个特征与极佳的预后相关,即低有丝分裂指数和低上皮体积百分比。结论是,形态计量学和流式细胞术分析结合临床特征可为预测接受肿瘤细胞减灭术和铂类化疗的晚期卵巢癌患者的预后提供重要信息。基于我们的数据,对未来的治疗方法提出了一个初步建议。