Dynamical network analysis reveals key microRNAs in progressive stages of lung cancer.
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ABSTRACT:
SUBMITTER: Kong C
PROVIDER: S-EPMC7295246 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
Publications
Dynamical network analysis reveals key microRNAs in progressive stages of lung cancer.
Kong Chao C Yao Yu-Xiang YX Bing Zhi-Tong ZT Guo Bing-Hui BH Huang Liang L Huang Zi-Gang ZG Lai Ying-Cheng YC
PLoS computational biology 20200519 5
Non-coding RNAs are fundamental to the competing endogenous RNA (CeRNA) hypothesis in oncology. Previous work focused on static CeRNA networks. We construct and analyze CeRNA networks for four sequential stages of lung adenocarcinoma (LUAD) based on multi-omics data of long non-coding RNAs (lncRNAs), microRNAs and mRNAs. We find that the networks possess a two-level bipartite structure: common competing endogenous network (CCEN) composed of an invariant set of microRNAs over all the stages and s ...[more]
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