Cell Cycle and Development Laboratory, Peter MacCallum Cancer Centre, 7 St Andrews Place, East Melbourne 3002, Victoria, Australia.
Dis Model Mech. 2013 Mar;6(2):521-9. doi: 10.1242/dmm.009985. Epub 2012 Sep 20.
Anti-cancer drug development involves enormous expenditure and risk. For rapid and economical identification of novel, bioavailable anti-tumour chemicals, the use of appropriate in vivo tumour models suitable for large-scale screening is key. Using a Drosophila Ras-driven tumour model, we demonstrate that tumour overgrowth can be curtailed by feeding larvae with chemicals that have the in vivo pharmacokinetics essential for drug development and known efficacy against human tumour cells. We then develop an in vivo 96-well plate chemical screening platform to carry out large-scale chemical screening with the tumour model. In a proof-of-principle pilot screen of 2000 compounds, we identify the glutamine analogue, acivicin, a chemical with known activity against human tumour cells, as a potent and specific inhibitor of Drosophila tumour formation. RNAi-mediated knockdown of candidate acivicin target genes implicates an enzyme involved in pyrimidine biosynthesis, CTP synthase, as a possible crucial target of acivicin-mediated inhibition. Thus, the pilot screen has revealed that Drosophila tumours are glutamine-dependent, which is an emerging feature of many human cancers, and has validated the platform as a powerful and economical tool for in vivo chemical screening. The platform can also be adapted for use with other disease models, thus offering widespread applications in drug development.
抗癌药物的开发涉及巨大的支出和风险。为了快速、经济地鉴定新型、生物可利用的抗肿瘤化合物,使用适合大规模筛选的合适的体内肿瘤模型是关键。我们使用果蝇 Ras 驱动的肿瘤模型证明,通过用具有开发药物所需的体内药代动力学特征和已知对人类肿瘤细胞有效作用的化学物质喂养幼虫,可以抑制肿瘤过度生长。然后,我们开发了一种体内 96 孔板化学筛选平台,利用该肿瘤模型进行大规模化学筛选。在对 2000 种化合物进行的原理验证性初步筛选中,我们发现谷氨酰胺类似物 acivicin 是一种对人类肿瘤细胞具有已知活性的化学物质,是一种有效的、特异性的果蝇肿瘤形成抑制剂。候选 acivicin 靶基因的 RNAi 敲低表明,嘧啶生物合成中的一种酶 CTP 合酶,可能是 acivicin 介导抑制的一个关键靶标。因此,该初步筛选表明,果蝇肿瘤依赖于谷氨酰胺,这是许多人类癌症的一个新特征,并验证了该平台作为体内化学筛选的强大而经济的工具的有效性。该平台还可以适应其他疾病模型的使用,因此在药物开发中有广泛的应用。