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利用ATP肿瘤化疗药敏试验预测原发性卵巢癌对含铂化疗的耐药性。

Predicting resistance to platinum-containing chemotherapy with the ATP tumor chemosensitivity assay in primary ovarian cancer.

作者信息

Neubauer Hans, Stefanova Maya, Solomayer Erich, Meisner Christoph, Zwirner Manfred, Wallwiener Diethelm, Fehm Tanja

机构信息

Department of Obstetrics and Gynecology, University of Tuebingen, 72076 Tuebingen, Germany.

出版信息

Anticancer Res. 2008 Mar-Apr;28(2A):949-55.

Abstract

BACKGROUND

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.

MATERIALS AND METHODS

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.

RESULTS

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.

CONCLUSION

ATP-TCA results in combination with the use of IndexSUM > 250 are best able to predict platinum resistance.

摘要

背景

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。

材料与方法

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。

结果

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。

结论

ATP - TCA结果与使用IndexSUM>250相结合最能预测铂耐药。

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