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A comprehensive study of construction and analysis of competitive endogenous RNA networks in lung adenocarcinoma.
Biochim Biophys Acta Proteins Proteom. 2020 08; 1868(8):140444.BB

Abstract

BACKGROUND

Long noncoding RNAs (lncRNAs) have gain increasing attention in lung adenocarcinoma. In this study, we aimed at constructing and analyzing the lncRNAs and the related proteins based competitive endogenous RNA (ceRNA) network.

METHODS

RNA expression data of lung adenocarcinoma were extracted from the TCGA database. Differentially expressed (DE) lncRNAs, messenger RNAs (mRNAs) and microRNAs (miRNAs) were identified and then a DElncRNA-DEmiRNA-DEmRNA ceRNA network was constructed for lung adenocarcinoma. We also analyzed the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment of the DEgenes. Kaplan-Meier survival curves were also been further utilized for exploring the prognostic factors.

RESULTS

After compared and calculated lncRNA, mRNA and miRNA expression profiles between lung adenocarcinoma and normal samples, 1709 differential expressed lncRNAs, 2554 differential expressed mRNAs and 116 differential expressed miRNAs were finally identified. Afterwards, a lncRNA mediated ceRNA network was constructed, according to the interactions among 544 pairs of DElncRNA-DEmiRNA relationships and 47 pairs of DEmiRNA-DEmRNA relationships. As for the survival analyses, we found 10 DElncRNAs, 25 DEmRNAs and 7 miRNAs have statistically prognostic significance for overall survival, respectively.

CONCLUSIONS

This study provides meaningful information for deeper understanding the underlying molecular mechanism of lung adenocarcinoma and for evaluating prognosis, which could monitor recurrence, guide clinical treatment drugs and subsequent related researches.

Authors+Show Affiliations

Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.Department of Pediatric Cardiovascular, Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200092, China.Department of Colorectal and Anal Surgery, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China. Electronic address: jyang_sch@163.com.Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China. Electronic address: shijianxin_sch@126.com.Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China. Electronic address: panxfshch@163.com.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32423886

Citation

Gu, Chang, et al. "A Comprehensive Study of Construction and Analysis of Competitive Endogenous RNA Networks in Lung Adenocarcinoma." Biochimica Et Biophysica Acta. Proteins and Proteomics, vol. 1868, no. 8, 2020, p. 140444.
Gu C, Shi X, Huang Z, et al. A comprehensive study of construction and analysis of competitive endogenous RNA networks in lung adenocarcinoma. Biochim Biophys Acta Proteins Proteom. 2020;1868(8):140444.
Gu, C., Shi, X., Huang, Z., Chen, J., Yang, J., Shi, J., & Pan, X. (2020). A comprehensive study of construction and analysis of competitive endogenous RNA networks in lung adenocarcinoma. Biochimica Et Biophysica Acta. Proteins and Proteomics, 1868(8), 140444. https://doi.org/10.1016/j.bbapap.2020.140444
Gu C, et al. A Comprehensive Study of Construction and Analysis of Competitive Endogenous RNA Networks in Lung Adenocarcinoma. Biochim Biophys Acta Proteins Proteom. 2020;1868(8):140444. PubMed PMID: 32423886.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A comprehensive study of construction and analysis of competitive endogenous RNA networks in lung adenocarcinoma. AU - Gu,Chang, AU - Shi,Xin, AU - Huang,Zhenyu, AU - Chen,Jiafei, AU - Yang,Jun, AU - Shi,Jianxin, AU - Pan,Xufeng, Y1 - 2020/05/11/ PY - 2020/04/05/received PY - 2020/04/25/revised PY - 2020/05/07/accepted PY - 2020/5/20/pubmed PY - 2020/10/22/medline PY - 2020/5/20/entrez KW - Long noncoding RNA KW - Lung adenocarcinoma KW - Network KW - Prognosis KW - Protein SP - 140444 EP - 140444 JF - Biochimica et biophysica acta. Proteins and proteomics JO - Biochim Biophys Acta Proteins Proteom VL - 1868 IS - 8 N2 - BACKGROUND: Long noncoding RNAs (lncRNAs) have gain increasing attention in lung adenocarcinoma. In this study, we aimed at constructing and analyzing the lncRNAs and the related proteins based competitive endogenous RNA (ceRNA) network. METHODS: RNA expression data of lung adenocarcinoma were extracted from the TCGA database. Differentially expressed (DE) lncRNAs, messenger RNAs (mRNAs) and microRNAs (miRNAs) were identified and then a DElncRNA-DEmiRNA-DEmRNA ceRNA network was constructed for lung adenocarcinoma. We also analyzed the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment of the DEgenes. Kaplan-Meier survival curves were also been further utilized for exploring the prognostic factors. RESULTS: After compared and calculated lncRNA, mRNA and miRNA expression profiles between lung adenocarcinoma and normal samples, 1709 differential expressed lncRNAs, 2554 differential expressed mRNAs and 116 differential expressed miRNAs were finally identified. Afterwards, a lncRNA mediated ceRNA network was constructed, according to the interactions among 544 pairs of DElncRNA-DEmiRNA relationships and 47 pairs of DEmiRNA-DEmRNA relationships. As for the survival analyses, we found 10 DElncRNAs, 25 DEmRNAs and 7 miRNAs have statistically prognostic significance for overall survival, respectively. CONCLUSIONS: This study provides meaningful information for deeper understanding the underlying molecular mechanism of lung adenocarcinoma and for evaluating prognosis, which could monitor recurrence, guide clinical treatment drugs and subsequent related researches. SN - 1878-1454 UR - https://www.unboundmedicine.com/medline/citation/32423886/A_comprehensive_study_of_construction_and_analysis_of_competitive_endogenous_RNA_networks_in_lung_adenocarcinoma_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1570-9639(20)30091-1 DB - PRIME DP - Unbound Medicine ER -