Identification of cancer-related miRNA-lncRNA biomarkers using a basic miRNA-lncRNA network

被引:79
|
作者
Zhang, Guangle [1 ]
Pian, Cong [2 ]
Chen, Zhi [1 ]
Zhang, Jin [1 ]
Xu, Mingmin [1 ]
Zhang, Liangyun [1 ]
Chen, Yuanyuan [1 ]
机构
[1] Nanjing Agr Univ, Coll Sci, Dept Math, Nanjing, Jiangsu, Peoples R China
[2] Zhejiang Univ, Inst Insect Sci, Minist Agr, Key Lab Mol Biol Crop Pathogens & Insects, Hangzhou, Zhejiang, Peoples R China
来源
PLOS ONE | 2018年 / 13卷 / 05期
基金
中国国家自然科学基金;
关键词
LONG NONCODING RNAS; TUMOR-ASSOCIATED MACROPHAGES; BREAST-CANCER; MICRORNA EXPRESSION; DOWN-REGULATION; INVASION; PROLIFERATION; GENE; SIGNATURE; MIGRATION;
D O I
10.1371/journal.pone.0196681
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
LncRNAs are regulatory noncoding RNAs that play crucial roles in many biological processes. The dysregulation of lncRNA is thought to be involved in many complex diseases; lncRNAs are often the targets of miRNAs in the indirect regulation of gene expression. Numerous studies have indicated that miRNA-lncRNA interactions are closely related to the occurrence and development of cancers. Thus, it is important to develop an effective method for the identification of cancer-related miRNA-lncRNA interactions. In this study, we compiled 155653 experimentally validated and predicted miRNA-lncRNA associations, which we defined as basic interactions. We next constructed an individual-specific miRNA-lncRNA network (ISMLN) for each cancer sample and a basic miRNA-lncRNA network (BMLN) for each type of cancer by examining the expression profiles of miRNAs and lncRNAs in the TCGA (The Cancer Genome Atlas) database. We then selected potential miRNA-lncRNA biomarkers based on the BLMN. Using this method, we identified cancer-related miRNA-lncRNA biomarkers and modules specific to a certain cancer. This method of profiling will contribute to the diagnosis and treatment of cancers at the level of gene regulatory networks.
引用
收藏
页数:18
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