Neubauer Hans, Stefanova Maya, Solomayer Erich, Meisner Christoph, Zwirner Manfred, Wallwiener Diethelm, Fehm Tanja
Department of Obstetrics and Gynecology, University of Tuebingen, 72076 Tuebingen, Germany.
Anticancer Res. 2008 Mar-Apr;28(2A):949-55.
Most patients with primary epithelial ovarian cancer (PEOC) treated with carboplatin/paclitaxel will relapse between one to two years. Our purpose was to define the optimal calculation method for the adenosine triphosphate-tumor chemosensitivity assay (ATP-TCA) applied to PEOC treated with platinum-containing chemotherapy and to analyze its predictive relevance.
ATP-TCA results from 80 PEOC specimens were analyzed applying three different methods: 50% inhibition concentration, sensitivity index (IndexSUM), and area under curve by testing multiple cut-off levels. Correlation between in vitro results and clinical outcome was performed for 61 (76%) patients by univariative and multivariative analysis. Tumor recurrence 6 months after chemotherapy was classified as platinum-resistance.
The IndexSUM set at > 250 had the highest test sensitivity, specificity, positive and negative predictive value of 90%, 43%, 62% and 81%, respectively. Patients whose tumors were shown to be resistant by ATP-TCA had a higher risk for recurrence (RR) compared to those who tested as sensitive (p < 0.003, RR = 3.3, 95% CI = 1.2-9.4). This result was confirmed after adjustment for FIGO stage by logistic regression (p < 0.004, Odds ratio = 8.3, 95% CI = 1.9-35.5). In multivariate analysis ATP-TCA and the FIGO-stage were independent predictive factors of early recurrence.
ATP-TCA results in combination with the use of IndexSUM > 250 are best able to predict platinum resistance.
大多数接受卡铂/紫杉醇治疗的原发性上皮性卵巢癌(PEOC)患者会在一到两年内复发。我们的目的是确定应用于接受含铂化疗的PEOC的三磷酸腺苷 - 肿瘤化学敏感性测定(ATP - TCA)的最佳计算方法,并分析其预测相关性。
应用三种不同方法分析80份PEOC标本的ATP - TCA结果:50%抑制浓度、敏感性指数(IndexSUM)以及通过测试多个临界值的曲线下面积。通过单变量和多变量分析对61例(76%)患者的体外结果与临床结局之间的相关性进行了研究。化疗6个月后的肿瘤复发被分类为铂耐药。
设定IndexSUM>250时具有最高的检测敏感性、特异性、阳性和阴性预测值,分别为90%、43%、62%和81%。与检测为敏感的患者相比,ATP - TCA显示肿瘤耐药的患者复发风险更高(RR)(p<0.003,RR = 3.3,95%CI = 1.2 - 9.4)。经逻辑回归校正FIGO分期后,该结果得到证实(p<0.004,优势比 = 8.3,95%CI = 1.9 - 35.5)。在多变量分析中,ATP - TCA和FIGO分期是早期复发的独立预测因素。
ATP - TCA结果与使用IndexSUM>250相结合最能预测铂耐药。