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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PeerJ Inc.
2019-04-01
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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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language | English |
last_indexed | 2024-03-09T06:37:13Z |
publishDate | 2019-04-01 |
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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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