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Identification of Three lncRNAs as Potential Predictive Biomarkers of Lung Adenocarcinoma.
Biomed Res Int. 2020; 2020:7573689.BR

Abstract

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.

Authors+Show Affiliations

Cardiovascular Thoracic Surgery Department, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China.Department of Urology, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China.Cardiovascular Thoracic Surgery Department, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China.Cardiovascular Thoracic Surgery Department, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin 300052, China.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32149133

Citation

Jin, Donghui, et al. "Identification of Three lncRNAs as Potential Predictive Biomarkers of Lung Adenocarcinoma." BioMed Research International, vol. 2020, 2020, p. 7573689.
Jin D, Song Y, Chen Y, et al. Identification of Three lncRNAs as Potential Predictive Biomarkers of Lung Adenocarcinoma. Biomed Res Int. 2020;2020:7573689.
Jin, D., Song, Y., Chen, Y., & Zhang, P. (2020). Identification of Three lncRNAs as Potential Predictive Biomarkers of Lung Adenocarcinoma. BioMed Research International, 2020, 7573689. https://doi.org/10.1155/2020/7573689
Jin D, et al. Identification of Three lncRNAs as Potential Predictive Biomarkers of Lung Adenocarcinoma. Biomed Res Int. 2020;2020:7573689. PubMed PMID: 32149133.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Identification of Three lncRNAs as Potential Predictive Biomarkers of Lung Adenocarcinoma. AU - Jin,Donghui, AU - Song,Yuxuan, AU - Chen,Yuan, AU - Zhang,Peng, Y1 - 2020/02/19/ PY - 2019/10/20/received PY - 2020/01/25/accepted PY - 2020/3/10/entrez PY - 2020/3/10/pubmed PY - 2020/10/6/medline SP - 7573689 EP - 7573689 JF - BioMed research international JO - Biomed Res Int VL - 2020 N2 - 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. SN - 2314-6141 UR - https://www.unboundmedicine.com/medline/citation/32149133/Identification_of_Three_lncRNAs_as_Potential_Predictive_Biomarkers_of_Lung_Adenocarcinoma_ L2 - https://doi.org/10.1155/2020/7573689 DB - PRIME DP - Unbound Medicine ER -