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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Main Authors: Yuanyong Wang, Tong Lu, Yang Wo, Xiao Sun, Shicheng Li, Shuncheng Miao, Yanting Dong, Xiaoliang Leng, Wenjie Jiao
Format: Article
Language:English
Published: PeerJ Inc. 2019-04-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/6809.pdf
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author Yuanyong Wang
Tong Lu
Yang Wo
Xiao Sun
Shicheng Li
Shuncheng Miao
Yanting Dong
Xiaoliang Leng
Wenjie Jiao
author_facet Yuanyong Wang
Tong Lu
Yang Wo
Xiao Sun
Shicheng Li
Shuncheng Miao
Yanting Dong
Xiaoliang Leng
Wenjie Jiao
author_sort Yuanyong Wang
collection DOAJ
description 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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spelling doaj.art-66a8f868d73c4beca8729748926b5ad92023-12-03T10:56:42ZengPeerJ Inc.PeerJ2167-83592019-04-017e680910.7717/peerj.6809Identification of a putative competitive endogenous RNA network for lung adenocarcinoma using TCGA datasetsYuanyong WangTong LuYang WoXiao SunShicheng LiShuncheng MiaoYanting DongXiaoliang LengWenjie JiaoThe 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.https://peerj.com/articles/6809.pdfceRNA networkLung adenocarcinomaPrognosismicroRNAlncRNA
spellingShingle Yuanyong Wang
Tong Lu
Yang Wo
Xiao Sun
Shicheng Li
Shuncheng Miao
Yanting Dong
Xiaoliang Leng
Wenjie Jiao
Identification of a putative competitive endogenous RNA network for lung adenocarcinoma using TCGA datasets
PeerJ
ceRNA network
Lung adenocarcinoma
Prognosis
microRNA
lncRNA
title Identification of a putative competitive endogenous RNA network for lung adenocarcinoma using TCGA datasets
title_full Identification of a putative competitive endogenous RNA network for lung adenocarcinoma using TCGA datasets
title_fullStr Identification of a putative competitive endogenous RNA network for lung adenocarcinoma using TCGA datasets
title_full_unstemmed Identification of a putative competitive endogenous RNA network for lung adenocarcinoma using TCGA datasets
title_short Identification of a putative competitive endogenous RNA network for lung adenocarcinoma using TCGA datasets
title_sort identification of a putative competitive endogenous rna network for lung adenocarcinoma using tcga datasets
topic ceRNA network
Lung adenocarcinoma
Prognosis
microRNA
lncRNA
url https://peerj.com/articles/6809.pdf
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