Bayer Schering Pharma AG, Global Drug Discovery, Berlin, Germany.
Clin Cancer Res. 2010 Mar 1;16(5):1452-65. doi: 10.1158/1078-0432.CCR-09-2455. Epub 2010 Feb 23.
Characterization of new anticancer drugs in a few xenograft models derived from established human cancer cell lines frequently results in the discrepancy between preclinical and clinical results. To take the heterogeneity of tumors into consideration more thoroughly, we describe here a preclinical approach that may allow a more rational clinical development of new anticancer drugs.
We tested Sagopilone, an optimized fully synthetic epothilone, in 22 well-characterized patient-derived non-small cell lung cancer models and correlated results with mutational and genome-wide gene expression analysis.
Response analysis according to clinical trial criteria revealed that Sagopilone induced overall responses in 64% of the xenograft models (14 of 22), with 3 models showing stable disease and 11 models showing partial response. A comparison with response rates for established drugs showed the strong efficacy of Sagopilone in non-small cell lung cancer. In gene expression analyses, Sagopilone induced tubulin isoforms in all tumor samples, but genes related to mitotic arrest only in responder models. Moreover, tumors with high expression of genes involved in cell adhesion/angiogenesis as well as of wild-type TP53 were more likely to be resistant to Sagopilone therapy. As suggested by these findings, Sagopilone was combined with Bevacizumab and Sorafenib, drugs targeting vascular endothelial growth factor signaling, in Sagopilone-resistant models and, indeed, antitumor activity could be restored.
Analyses provided here show how preclinical studies can provide hypotheses for the identification of patients who more likely will benefit from new drugs as well as a rationale for combination therapies to be tested in clinical trials.
在源自已建立的人类癌细胞系的少数异种移植模型中对新型抗癌药物进行特征描述,经常导致临床前和临床结果之间存在差异。为了更全面地考虑肿瘤的异质性,我们在此描述了一种临床前方法,该方法可能允许更合理地开发新型抗癌药物。
我们在 22 种经过充分特征描述的患者来源的非小细胞肺癌模型中测试了 Sagopilone,这是一种经过优化的全合成表鬼臼毒素,并将结果与突变和全基因组基因表达分析相关联。
根据临床试验标准进行的响应分析表明,Sagopilone 在 64%的异种移植模型(22 个中的 14 个)中诱导了总体反应,其中 3 个模型显示稳定疾病,11 个模型显示部分反应。与已建立药物的反应率进行比较显示,Sagopilone 在非小细胞肺癌中具有强大的疗效。在基因表达分析中,Sagopilone 在所有肿瘤样本中诱导了微管蛋白同工型,但在有丝分裂停滞的应答模型中仅诱导了与有丝分裂停滞相关的基因。此外,涉及细胞粘附/血管生成的基因以及野生型 TP53 高表达的肿瘤更可能对 Sagopilone 治疗产生抗性。根据这些发现,将 Sagopilone 与贝伐单抗和索拉非尼(靶向血管内皮生长因子信号的药物)联合用于 Sagopilone 耐药模型中,确实可以恢复抗肿瘤活性。
这里提供的分析表明,临床前研究如何为确定更有可能从新药中受益的患者提供假设,并为联合治疗提供依据,以在临床试验中进行测试。