Non-Coding RNAs Extended Omnigenic Module of Cancers

被引:0
作者
Li, Jie [1 ]
Wang, Bingbo [1 ]
Ma, Xiujuan [1 ]
机构
[1] Xidian Univ, Sch Comp Sci & Technol, Xian 710119, Peoples R China
基金
中国国家自然科学基金;
关键词
cancer module; connectivity pattern; heterogeneous network; non-coding RNAs; DATABASE; GENES; EXPRESSION; PREDICTION; PATHWAYS; ROLES;
D O I
10.3390/e26080640
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The emergence of cancers involves numerous coding and non-coding genes. Understanding the contribution of non-coding RNAs (ncRNAs) to the cancer neighborhood is crucial for interpreting the interaction between molecular markers of cancer. However, there is a lack of systematic studies on the involvement of ncRNAs in the cancer neighborhood. In this paper, we construct an interaction network which encompasses multiple genes. We focus on the fundamental topological indicator, namely connectivity, and evaluate its performance when applied to cancer-affected genes using statistical indices. Our findings reveal that ncRNAs significantly enhance the connectivity of affected genes and mediate the inclusion of more genes in the cancer module. To further explore the role of ncRNAs in the network, we propose a connectivity-based method which leverages the bridging function of ncRNAs across cancer-affected genes and reveals the non-coding RNAs extended omnigenic module (NeOModule). Topologically, this module promotes the formation of cancer patterns involving ncRNAs. Biologically, it is enriched with cancer pathways and treatment targets, providing valuable insights into disease relationships.
引用
收藏
页数:17
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