越来越多的证据表明生物系统在结构和功能上都是模块化的。事实证明，诸如基因调控网络（GRN）之类的复杂生物信号网络是由相互关联和分层排列的子类别组成的。这些网络包含高度动态的过程，最终随着时间的推移决定细胞功能，并影响表型命运转变。在这项工作中，我们使用胰腺癌（PC）的随机多细胞信号网络来证明对表型影响最大的模块的拓扑排名的差异意味着结构和功能之间存在很强的关系。我们进一步表明，突变的诱导改变了模块结构，这同样影响了计算机中疾病的攻击性和可控性。我们最终提供的证据表明，PC 模块结构方面的突变的影响和位置直接对应于计算机中单药治疗的功效，因为拓扑深度突变需要深层目标进行控制。© 2024。作者。

There is increasing evidence that biological systems are modular in both structure and function. Complex biological signaling networks such as gene regulatory networks (GRNs) are proving to be composed of subcategories that are interconnected and hierarchically ranked. These networks contain highly dynamic processes that ultimately dictate cellular function over time, as well as influence phenotypic fate transitions. In this work, we use a stochastic multicellular signaling network of pancreatic cancer (PC) to show that the variance in topological rankings of the most phenotypically influential modules implies a strong relationship between structure and function. We further show that induction of mutations alters the modular structure, which analogously influences the aggression and controllability of the disease in silico. We finally present evidence that the impact and location of mutations with respect to PC modular structure directly corresponds to the efficacy of single agent treatments in silico, because topologically deep mutations require deep targets for control.© 2024. The Author(s).