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利用TCGA数据集鉴定肺腺癌潜在的竞争性内源性RNA网络。

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

作者信息

Wang Yuanyong, Lu Tong, Wo Yang, Sun Xiao, Li Shicheng, Miao Shuncheng, Dong Yanting, Leng Xiaoliang, Jiao Wenjie

机构信息

Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.

出版信息

PeerJ. 2019 Apr 23;7:e6809. doi: 10.7717/peerj.6809. eCollection 2019.

DOI:10.7717/peerj.6809
PMID:31065463
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6485208/
Abstract

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.

摘要

肺腺癌(LUAD)发生发展的潜在机制目前尚不清楚。竞争性内源RNA(ceRNA)调控网络的发现为LUAD患者的治疗和预后提供了新方向。然而,ceRNA在LUAD中的作用机制仍不清楚。在本研究中,从癌症基因组图谱数据库中筛选出差异表达的信使核糖核酸(mRNAs)、微小核糖核酸(miRs)和长链非编码核糖核酸。然后使用在线预测软件鉴定LUAD的ceRNAs。在鉴定出的ceRNAs中,序列相似性家族83成员A(FAM83A)、miR-34c-5p、KCNQ1OT1和FLJ26245被观察到与LUAD患者的总生存期显著相关。值得注意的是,FAM83A在耐药性方面具有潜在意义,可能是LUAD患者预后和治疗的候选生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6485208/32e8a4d6d724/peerj-07-6809-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6485208/f17d2619182b/peerj-07-6809-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6485208/d117c11e36c4/peerj-07-6809-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6485208/6c02e02aabaa/peerj-07-6809-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6485208/612202930272/peerj-07-6809-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6485208/f6e7bcc1fb85/peerj-07-6809-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6485208/32e8a4d6d724/peerj-07-6809-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6485208/f17d2619182b/peerj-07-6809-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6485208/5794ae5fd8a7/peerj-07-6809-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6485208/d117c11e36c4/peerj-07-6809-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6485208/6c02e02aabaa/peerj-07-6809-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6485208/612202930272/peerj-07-6809-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6485208/f6e7bcc1fb85/peerj-07-6809-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6485208/32e8a4d6d724/peerj-07-6809-g007.jpg

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