Identification of a putative competitive endogenous RNA network for lung adenocarcinoma using TCGA datasets

The mechanisms underlying the oncogenesis and progression of lung adenocarcinoma (LUAD) are currently unclear. The discovery of competitive endogenous RNA (ceRNA) regulatory networks has provided a new direction for the treatment and prognosis of patients with LUAD. However, the mechanism of action...

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Published inPeerJ (San Francisco, CA) Vol. 7; p. e6809
Main Authors Wang, Yuanyong, Lu, Tong, Wo, Yang, Sun, Xiao, Li, Shicheng, Miao, Shuncheng, Dong, Yanting, Leng, Xiaoliang, Jiao, Wenjie
Format Journal Article
LanguageEnglish
Published United States PeerJ. Ltd 23.04.2019
PeerJ, Inc
PeerJ Inc
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Summary:The mechanisms underlying the oncogenesis and progression of lung adenocarcinoma (LUAD) are currently unclear. The discovery of competitive endogenous RNA (ceRNA) regulatory networks has provided a new direction for the treatment and prognosis of patients with LUAD. However, the mechanism of action of ceRNA in LUAD remains elusive. In the present study, differentially expressed mRNAs, microRNAs (miRs) and long non-coding RNAs from the cancer genome atlas database were screened. CeRNAs for LUAD were then identified using online prediction software. Among the ceRNAs identified, family with sequence similarity 83 member A (FAM83A), miR-34c-5p, KCNQ1OT1 and FLJ26245 were observed to be significantly associated with the overall survival of patients with LUAD. Of note, FAM83A has potential significance in drug resistance, and may present a candidate biomarker for the prognosis and treatment of patients with LUAD.
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ISSN:2167-8359
2167-8359
DOI:10.7717/peerj.6809