Li Hu, Ung Choong Yong, Ma Xiao Hua, Liu Xiang Hui, Li Bao Wen, Low Boon Chuan, Chen Yu Zong
Bioinformatics and Drug Design Group, Department of Pharmacy, National University of Singapore, Singapore.
Cancer. 2009 Sep 15;115(18):4246-63. doi: 10.1002/cncr.24485.
Mathematic models and sensitivity analyses of biologic pathways have been used for exploring the dynamics and for detecting the key components of signaling pathways.
The authors previously developed a mathematic model of the epidermal growth factor receptor-extracellular signal-regulated protein kinase (EGFR-ERK) pathway using ordinary differential equations from existing EGFR-ERK pathway models. By using prolonged ERK activation as an indicator that may lead to cell proliferation under certain circumstances, in the current study, a pathway sensitivity analysis was performed to test its capability of detecting pro-proliferative activities through altered protein levels to examine the effects on ERK activation.
The analysis revealed that 12 of 20 oncoproteins and 4 of 5 tumor suppressors were detected, consistent with reported experimental works. Because pathway dynamics depend on many factors, some of which were not included in the current models, failure to detect all known oncogenes and tumor suppressors can be because of the failure to include relevant crosstalk to other pathway components.
Overall, the current results indicated that pathway sensitivity analysis is a useful approach for detecting and distinguishing pro-proliferation activities of oncoproteins and suppressed proliferative activities of tumor suppressors at altered protein levels at least in the EGFR-ERK model.
生物通路的数学模型和敏感性分析已被用于探索信号通路的动力学并检测其关键组成部分。
作者先前利用现有表皮生长因子受体-细胞外信号调节蛋白激酶(EGFR-ERK)通路模型中的常微分方程,开发了一种EGFR-ERK通路的数学模型。在当前研究中,以延长的ERK激活作为在某些情况下可能导致细胞增殖的指标,进行了通路敏感性分析,以测试其通过改变蛋白质水平检测促增殖活性的能力,从而检验对ERK激活的影响。
分析显示,检测出了20种癌蛋白中的12种以及5种肿瘤抑制因子中的4种,这与已报道的实验结果一致。由于通路动力学取决于许多因素,其中一些因素未包含在当前模型中,未能检测到所有已知的癌基因和肿瘤抑制因子可能是因为未纳入与其他通路成分的相关串扰。
总体而言,当前结果表明,至少在EGFR-ERK模型中,通路敏感性分析是一种有用的方法,可用于在蛋白质水平改变时检测和区分癌蛋白的促增殖活性以及肿瘤抑制因子的抑制增殖活性。