The vulnerabilities of cancer at the cellular and, recently, with the introduction of immunotherapy, at the tissue level, have been exploited with variable success. Evaluating the cancer system vulnerabilities at the organismic level through analysis of network topology and network dynamics can potentially predict novel anti-cancer drug targets directed at the macroscopic cancer networks. Theoretical work analyzing the properties and the vulnerabilities of the multi-scale network of cancer needs to go hand-in-hand with experimental research that uncovers the biological nature of the relevant networks and reveals new targetable vulnerabilities. It is our hope that attacking cancer on different spatial scales, in a concerted integrated approach, may present opportunities for novel ways to prevent treatment resistance.

癌症在细胞上的脆弱性以及最近随着免疫疗法在组织水平上的引入，已被利用并取得了不同程度的成功。通过分析网络拓扑和网络动态，在有机体层面评估癌症系统的脆弱性，可以潜在地预测针对宏观癌症网络的新型抗癌药物靶点。分析癌症多尺度网络的特性和脆弱性的理论工作需要与揭示相关网络的生物学性质并揭示新的可靶向脆弱性的实验研究齐头并进。我们希望以协调一致的综合方法在不同空间尺度上攻击癌症，可以为预防治疗耐药性的新方法提供机会。