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Identification of Three lncRNAs as Potential Predictive Biomarkers of Lung Adenocarcinoma

BACKGROUND: Lung cancer is the most common cancer and the most common cause of cancer-related death worldwide. However, the molecular mechanism of its development is unclear. It is imperative to identify more novel biomarkers. METHODS: Two datasets (GSE70880 and GSE113852) were downloaded from the G...

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Autores principales: Jin, Donghui, Song, Yuxuan, Chen, Yuan, Zhang, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053454/
https://www.ncbi.nlm.nih.gov/pubmed/32149133
http://dx.doi.org/10.1155/2020/7573689
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author Jin, Donghui
Song, Yuxuan
Chen, Yuan
Zhang, Peng
author_facet Jin, Donghui
Song, Yuxuan
Chen, Yuan
Zhang, Peng
author_sort Jin, Donghui
collection PubMed
description BACKGROUND: Lung cancer is the most common cancer and the most common cause of cancer-related death worldwide. However, the molecular mechanism of its development is unclear. It is imperative to identify more novel biomarkers. METHODS: Two datasets (GSE70880 and GSE113852) were downloaded from the Gene Expression Omnibus (GEO) database and used to identify the differentially expressed genes (DEGs) between lung cancer tissues and normal tissues. Then, we constructed a competing endogenous RNA (ceRNA) network and a protein-protein interaction (PPI) network and performed gene ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and survival analyses to identify potential biomarkers that are related to the diagnosis and prognosis of lung cancer. RESULTS: A total of 41 lncRNAs and 805 mRNAs were differentially expressed in lung cancer. The ceRNA network contained four lncRNAs (CLDN10-AS1, SFTA1P, SRGAP3-AS2, and ADAMTS9-AS2), 21 miRNAs, and 48 mRNAs. Functional analyses revealed that the genes in the ceRNA network were mainly enriched in cell migration, transmembrane receptor, and protein kinase activity. mRNAs DLGAP5, E2F7, MCM7, RACGAP1, and RRM2 had the highest connectivity in the PPI network. Immunohistochemistry (IHC) demonstrated that mRNAs DLGAP5, MCM7, RACGAP1, and RRM2 were upregulated in lung adenocarcinoma (LUAD). Survival analyses showed that lncRNAs CLDN10-AS1, SFTA1P, and ADAMTS9-AS2 were associated with the prognosis of LUAD. CONCLUSION: lncRNAs CLDN10-AS1, SFTA1P, and ADAMTS9-AS2 might be the biomarkers of LUAD. For the first time, we confirmed the important role of lncRNA CLDN10-AS1 in LUAD.
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spelling pubmed-70534542020-03-08 Identification of Three lncRNAs as Potential Predictive Biomarkers of Lung Adenocarcinoma Jin, Donghui Song, Yuxuan Chen, Yuan Zhang, Peng Biomed Res Int Research Article BACKGROUND: Lung cancer is the most common cancer and the most common cause of cancer-related death worldwide. However, the molecular mechanism of its development is unclear. It is imperative to identify more novel biomarkers. METHODS: Two datasets (GSE70880 and GSE113852) were downloaded from the Gene Expression Omnibus (GEO) database and used to identify the differentially expressed genes (DEGs) between lung cancer tissues and normal tissues. Then, we constructed a competing endogenous RNA (ceRNA) network and a protein-protein interaction (PPI) network and performed gene ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and survival analyses to identify potential biomarkers that are related to the diagnosis and prognosis of lung cancer. RESULTS: A total of 41 lncRNAs and 805 mRNAs were differentially expressed in lung cancer. The ceRNA network contained four lncRNAs (CLDN10-AS1, SFTA1P, SRGAP3-AS2, and ADAMTS9-AS2), 21 miRNAs, and 48 mRNAs. Functional analyses revealed that the genes in the ceRNA network were mainly enriched in cell migration, transmembrane receptor, and protein kinase activity. mRNAs DLGAP5, E2F7, MCM7, RACGAP1, and RRM2 had the highest connectivity in the PPI network. Immunohistochemistry (IHC) demonstrated that mRNAs DLGAP5, MCM7, RACGAP1, and RRM2 were upregulated in lung adenocarcinoma (LUAD). Survival analyses showed that lncRNAs CLDN10-AS1, SFTA1P, and ADAMTS9-AS2 were associated with the prognosis of LUAD. CONCLUSION: lncRNAs CLDN10-AS1, SFTA1P, and ADAMTS9-AS2 might be the biomarkers of LUAD. For the first time, we confirmed the important role of lncRNA CLDN10-AS1 in LUAD. Hindawi 2020-02-19 /pmc/articles/PMC7053454/ /pubmed/32149133 http://dx.doi.org/10.1155/2020/7573689 Text en Copyright © 2020 Donghui Jin et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Jin, Donghui
Song, Yuxuan
Chen, Yuan
Zhang, Peng
Identification of Three lncRNAs as Potential Predictive Biomarkers of Lung Adenocarcinoma
title Identification of Three lncRNAs as Potential Predictive Biomarkers of Lung Adenocarcinoma
title_full Identification of Three lncRNAs as Potential Predictive Biomarkers of Lung Adenocarcinoma
title_fullStr Identification of Three lncRNAs as Potential Predictive Biomarkers of Lung Adenocarcinoma
title_full_unstemmed Identification of Three lncRNAs as Potential Predictive Biomarkers of Lung Adenocarcinoma
title_short Identification of Three lncRNAs as Potential Predictive Biomarkers of Lung Adenocarcinoma
title_sort identification of three lncrnas as potential predictive biomarkers of lung adenocarcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053454/
https://www.ncbi.nlm.nih.gov/pubmed/32149133
http://dx.doi.org/10.1155/2020/7573689
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