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Identification of cancer‐related potential biomarkers based on lnc RNA –pseudogene– mRNA competitive networks
Author(s) -
Wu Cheng,
Wei Yunzhen,
Zhu Yinling,
Li Kun,
Zhu Yanjiao,
Zhao Yichuan,
Chang Zhiqiang,
Xu Yan
Publication year - 2018
Publication title -
febs letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.593
H-Index - 257
eISSN - 1873-3468
pISSN - 0014-5793
DOI - 10.1002/1873-3468.13011
Subject(s) - pseudogene , competing endogenous rna , rna , biology , long non coding rna , messenger rna , carcinogenesis , computational biology , gene , non coding rna , cancer , genetics , genome
Accumulating evidence indicates that mRNA s and noncoding RNA s act as competitive endogenous RNA s (ceRNAs) and play a key role in tumorigenesis. However, the complex competitive relationship among genes remains unknown. In the present study, the long noncoding RNA s (lncRNAs), pseudogenes and mRNA s that compete with common micro RNA s are defined as lncRNA–pseudogene– mRNA competitive triples. We find that some candidate ceRNAs, modules and triples are associated with cancers and can significantly divide patients into high‐risk and low‐risk groups; thus, they may serve as potential cancer biomarkers. In sum, the present study systematically analyzes the association between competitive triples and cancer, which provides a reference for a deeper understanding of cancer progression.