Literature DB >> 33362860

Identification of Potential Long Non-coding RNA Expression Quantitative Trait Methylations in Lung Adenocarcinoma and Lung Squamous Carcinoma.

Xiaohong Wu1, Yue Gao2, Jianlong Bu3, Lin Deng1, Pinyi Zhang1, Meng Chi1, Lihua Jiang1, Xiaoding Shi1, Shangwei Ning2, Guonian Wang1.   

Abstract

There are associations between DNA methylation and the expression of long non-coding RNA (lncRNA), also known as lncRNA expression quantitative trait methylations (lnc-eQTMs). Lnc-eQTMs may induce a wide range of carcinogenesis pathways. However, lnc-eQTMs have not been globally identified and studied, and their roles in lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC) are largely unknown. In the present study, we identified some differential methylation sites located in genes of long intergenic non-coding RNAs (lincRNAs) and other types of lncRNAs in LUAD and LUSC. An integrated pipeline was established to construct two global cancer-specific regulatory networks of lnc-eQTMs in LUAD and LUSC. The associations between eQTMs showed common and specific features between LUAD and LUSC. Some lnc-eQTMs were also related with survival in LUAD- and LUSC-specific regulatory networks. Lnc-eQTMs were associated with cancer-related functions, such as lung epithelium development and vasculogenesis by functional analysis. Drug repurposing analysis revealed that these lnc-eQTMs may mediate the effects of some anesthesia-related drugs in LUAD and LUSC. In summary, the present study elucidates the roles of lnc-eQTMs in LUAD and LUSC, which could improve our understanding of lung cancer pathogenesis and facilitate treatment.
Copyright © 2020 Wu, Gao, Bu, Deng, Zhang, Chi, Jiang, Shi, Ning and Wang.

Entities:  

Keywords:  functional analysis; lncRNAs; lung adenocarcinoma; lung squamous carcinoma; methylation; prognostic biomarker

Year:  2020        PMID: 33362860      PMCID: PMC7756030          DOI: 10.3389/fgene.2020.602035

Source DB:  PubMed          Journal:  Front Genet        ISSN: 1664-8021            Impact factor:   4.599


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