Small-world networks of prognostic genes associated with lung adenocarcinoma development
Small-world networks of prognostic genes associated with lung adenocarcinoma development
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DOI：
10.1016/j.ygeno.2020.07.018
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发表时间：
2020-11-01
期刊：
影响因子：
4.4
通讯作者：
Bikas, Das Asim
中科院分区：
文献类型：
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作者：
Bikas, Das Asim
本研究探讨网络拓扑结构在肺腺癌（LUAD）发展中的作用。性别和阶段特异性全基因组表达数据的分析显示，所有癌症阶段共有的共表达和高度连接的预后基因在LUAD的每个阶段形成了一个小世界网络。这些小世界网络存在于特定阶段的无标度网络中，在癌症阶段中保持不变，并与癌症特定事件相关联。在癌症的无序环境中，小世界网络在癌症阶段的存在呈现出同步系统，导致恶性肿瘤的演变。我们的研究报告说，这些小世界网络对随机和系统性攻击具有弹性，这表明药物作为治疗干预引入扰动的机会最小。我们的结论是，高度聚集的小世界网络可以通过转录调节控制，以改善LUAD的治疗。
The present study investigates the role of network topology in lung adenocarcinoma (LUAD) development. Analysis of sex- and stage-specific whole-genome expression data revealed that co-expressed and highly connected prognostic genes common to all cancer stages form a small-world network in each stage of LUAD. These small-world networks are present within stage-specific scale-free networks, conserved across the cancer stages, and linked to cancer-specific events. The presence of small-world networks across the cancer stages presents a synchronized system in the disordered environment of cancer, resulting in the evolution of malignancy. Our study reported that these small-world networks are resilient to random and systematic attacks, indicating the least opportunity to introduce perturbations by drugs as a therapeutic intervention. We concluded that highly clustered small-world networks could be controlled through transcriptional modulation for the improved treatment of LUAD.