Department of Genetics, Curriculum in Genetics and Molecular Biology, Lineberger Cancer Center, Center for Gastrointestinal Biology and Disease, and Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina, United States of America.
PLoS One. 2012;7(6):e39552. doi: 10.1371/journal.pone.0039552. Epub 2012 Jun 25.
Molecule-targeted therapies are being widely developed and deployed, but they are frequently less effective in clinical trials than predicted based upon preclinical studies. Frequently, only a single model or genetic background is utilized using diets that are not relevant to that consumed by most cancer patients, which may contribute to the lack of predictability of many preclinical therapeutic studies. Inhibition of epidermal growth factor receptor (EGFR) in colorectal cancer was used to investigate potential causes for low predictive values of many preclinical studies. The efficacy of the small molecule EGFR inhibitor AG1478 was evaluated using two mouse models, Apc(Min/+) and azoxymethane (AOM), both sexes on three genetic backgrounds, C57BL/6J (B6) and A/J (A) inbred strains and AB6F1 hybrids, and two diets, standard chow (STD) or Western-style diet (WD). AG1478 has significant anti-tumor activity in the B6-Apc(Min/+) model with STD but only moderately on the WD and in the AOM model on an A background with a WD but not STD. On the F1 hybrid background AG1478 is effective in the Apc(Min/+) model with either STD or WD, but has only moderate efficacy in the AOM model with either diet. Sex differences were also observed. Unexpectedly, the level of liver EGFR phosphorylation inhibition by AG1478 was not positively correlated with inhibition of tumor growth in the AOM model. Model-dependent interactions between genetic background and diet can dramatically impact preclinical results, and indicate that low predictive values of preclinical studies can be attributed to study designs that do not account for the heterogeneous patient population or the diets they consume. Better-designed preclinical studies should lead to more accurate predictions of therapeutic response in the clinic.
分子靶向治疗正在得到广泛的开发和应用,但它们在临床试验中的效果往往不如基于临床前研究的预测。通常,仅使用一种模型或遗传背景,且使用的饮食与大多数癌症患者所消耗的饮食不相关,这可能导致许多临床前治疗研究的预测性不足。本文以结直肠癌中表皮生长因子受体(EGFR)的抑制为例,探讨了许多临床前研究预测值较低的潜在原因。使用两种小鼠模型(Apc(Min/+)和 azoxymethane (AOM)),三种遗传背景(C57BL/6J (B6)、A/J (A)近交系和 AB6F1 杂交系)和两种饮食(标准饲料 (STD)或西式饮食 (WD))来评估小分子 EGFR 抑制剂 AG1478 的疗效。AG1478 在 B6-Apc(Min/+)模型的 STD 饮食中有显著的抗肿瘤活性,但在 WD 饮食中活性中等,在 A 背景的 AOM 模型中用 WD 饮食也有活性,但用 STD 饮食则没有。在 F1 杂交系背景下,AG1478 在 STD 或 WD 饮食中对 Apc(Min/+)模型均有效,但在 STD 或 WD 饮食中对 AOM 模型的疗效中等。还观察到了性别差异。出乎意料的是,AG1478 对 AOM 模型中肝脏 EGFR 磷酸化的抑制程度与抑制肿瘤生长之间没有正相关。遗传背景和饮食之间的模型依赖性相互作用可能会显著影响临床前结果,并表明临床前研究预测值较低可能是由于研究设计没有考虑到异质的患者群体或他们所消耗的饮食。更好设计的临床前研究应该能够更准确地预测临床治疗反应。