Korrat André, Greiner Thomas, Maurer Martina, Metz Thomas, Fiebig Heinz-Herbert
Oncotest GmbH, Institute for Experimental Oncology, Am Flughafen 12-14, D-79108 Freiburg, Germany.
Cancer Genomics Proteomics. 2007 May-Jun;4(3):187-95.
Cyclophosphamide (CY) is a clinically used cytotoxic agent that is effective in a wide range of tumor types including breast and small cell lung cancers. However, by far not all patients benefit from CY therapy. We used patient tumor explants grown in nude mice as an experimental model system to identify a gene signature that, based on a tumor's gene expression profile, predicts its CY response. Forty-nine human tumor xenografts of different histologies were defined as the training set. Correlation of the gene expression profiles of untreated tumors to the sensitivity of the same tumors to CY led to the identification of 129 transcripts as predictive biomarkers for CY response. Interestingly, the products of 12 of these genes were known to interact at least indirectly with CY. A leave-one-out cross-validation approach led to a correct prediction of the CY response of the training set tumors in 15 out of 18 cases (83%) as compared to a response rate of 18 out of 49 (32%), following random testing. For an independent set of 25 previously untested tumors with known gene expression profiles (validation set) CY sensitivity was predicted correctly for 6 out of 8 tumors (75%), and CY resistance for 15 out of 17 tumors (88%). In comparison, random testing of the same tumors resulted in a response rate of 8 out of 25 (32%). For the same 25 tumors, the median minimum T/C value for predicted responders was 1% as compared to 49% for predicted non-responders. Finally, for tumor types considered as CY sensitive such as small cell lung and breast cancers as well as melanoma, the combined real and predicted response rates for 37 tested and 26 untested tumors was 49%. In contrast, for tumor types considered as CY resistant, including colon and renal cancer, the combined real and predicted response rate for 37 tested and 75 untested tumors was only 13%. Taken together, we identified a gene signature that can predict tumor response to CY and warrants clinical validation.
环磷酰胺(CY)是一种临床使用的细胞毒性药物,对包括乳腺癌和小细胞肺癌在内的多种肿瘤类型都有效。然而,到目前为止并非所有患者都能从CY治疗中获益。我们使用在裸鼠体内生长的患者肿瘤外植体作为实验模型系统,以确定一种基因特征,该特征基于肿瘤的基因表达谱预测其对CY的反应。49个不同组织学类型的人肿瘤异种移植被定义为训练集。将未治疗肿瘤的基因表达谱与同一肿瘤对CY的敏感性进行相关性分析,从而确定了129个转录本作为CY反应的预测生物标志物。有趣的是,这些基因中的12个基因的产物已知至少与CY间接相互作用。留一法交叉验证方法导致训练集肿瘤的CY反应在18例中有15例(83%)被正确预测,而随机测试时的反应率为49例中的18例(32%)。对于一组独立的25个先前未测试且具有已知基因表达谱的肿瘤(验证集),8个肿瘤中有6个(75%)的CY敏感性被正确预测,17个肿瘤中有15个(88%)的CY耐药性被正确预测。相比之下,对相同肿瘤进行随机测试的反应率为25例中的8例(32%)。对于相同的25个肿瘤,预测有反应者的最小T/C值中位数为1%,而预测无反应者为49%。最后,对于被认为对CY敏感的肿瘤类型,如小细胞肺癌、乳腺癌以及黑色素瘤,37个测试肿瘤和26个未测试肿瘤的实际和预测反应率总和为49%。相比之下,对于被认为对CY耐药的肿瘤类型,包括结肠癌和肾癌,37个测试肿瘤和75个未测试肿瘤的实际和预测反应率总和仅为13%。综上所述,我们确定了一种可以预测肿瘤对CY反应的基因特征,值得进行临床验证。