Cell signaling pathways control the responses of cells to external perturbations. Depending on the cell's internal state, genetic background and environmental context, signaling pathways rewire to elicit the appropriate response. Such rewiring also can lead to cancer development and progression or cause resistance to therapies. While there exist static maps of annotated pathways, they do not capture these rewired networks. As large-scale datasets across multiple contexts and patients are becoming available the doors to infer and study context-specific signaling network have also opened. In this review, we will highlight the most recent approaches to study context-specific signaling networks using large-scale omics and genetic perturbation datasets, with a focus on studies of cancer and cancer-related pathways.

中文翻译：

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揭示癌症中细胞信号网络的大规模数据集：背景很重要。

细胞信号通路控制细胞对外部扰动的响应。根据细胞的内部状态，遗传背景和环境背景，信号传导通路会重新连接以引发适当的反应。这种重新布线还可以导致癌症的发展和进展，或引起对疗法的抵抗。尽管存在带注释路径的静态图，但它们未捕获这些重新连接的网络。随着跨多个上下文和患者的大规模数据集的出现，推断和研究特定于上下文的信号网络的大门也打开了。在这篇综述中，我们将重点介绍使用大规模组学和遗传扰动数据集研究特定于上下文的信号网络的最新方法，重点是研究癌症和与癌症相关的途径。