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Construction of circRNA-miRNA-mRNA network and identification of novel potential biomarkers for non-small cell lung cancer

BACKGROUND: The underlying circular RNAs (circRNAs)-related competitive endogenous RNA (ceRNA) mechanisms of pathogenesis and prognosis in non-small cell lung cancer (NSCLC) remain unclear. METHODS: Differentially expressed circRNAs (DECs) in two Gene Expression Omnibus datasets (GSE101684 and GSE11...

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Autores principales: Yang, Jia, Hao, Ran, Zhang, Yunlong, Deng, Haibin, Teng, Wenjing, Wang, Zhongqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605517/
https://www.ncbi.nlm.nih.gov/pubmed/34801043
http://dx.doi.org/10.1186/s12935-021-02278-z
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author Yang, Jia
Hao, Ran
Zhang, Yunlong
Deng, Haibin
Teng, Wenjing
Wang, Zhongqi
author_facet Yang, Jia
Hao, Ran
Zhang, Yunlong
Deng, Haibin
Teng, Wenjing
Wang, Zhongqi
author_sort Yang, Jia
collection PubMed
description BACKGROUND: The underlying circular RNAs (circRNAs)-related competitive endogenous RNA (ceRNA) mechanisms of pathogenesis and prognosis in non-small cell lung cancer (NSCLC) remain unclear. METHODS: Differentially expressed circRNAs (DECs) in two Gene Expression Omnibus datasets (GSE101684 and GSE112214) were identified by utilizing R package (Limma). Circinteractome and StarBase databases were used to predict circRNA associated-miRNAs and mRNAs, respectively. Then, protein–protein interaction (PPI) network of hub genes and ceRNA network were constructed by STRING and Cytoscape. Also, analyses of functional enrichment, genomic mutation and diagnostic ROC were performed. TIMER database was used to analyze the association between immune infiltration and target genes. Kaplan–Meier analysis, cox regression and the nomogram prediction model were used to evaluate the prognostic value of target genes. Finally, the expression of potential circRNAs and target genes was validated in cell lines and tissues by quantitative real-time PCR (qRT-PCR) and Human Protein Atlas (HPA) database. RESULTS: In this study, 15 DECs were identified between NSCLC tissues and adjacent-normal tissues in two GEO datasets. Following the qRT-PCR corroboration, 7 DECs (hsa_circ_0002017, hsa_circ_0069244, hsa_circ_026337, hsa_circ_0002346, hsa_circ_0007386, hsa_circ_0008234, hsa_circ_0006857) were dramatically downregulated in A549 and SK-MES-1 compared with HFL-1 cells. Then, 12 circRNA-sponged miRNAs were screened by Circinteractome and StarBase, especially, hsa-miR-767-3p and hsa-miR-767-5p were significantly up-regulated and relevant to the prognosis. Utilizing the miRDB and Cytoscape, 12 miRNA-target genes were found. Functional enrichment, genomic mutation and diagnostic analyses were also performed. Among them, FNBP1, AKT3, HERC1, COL4A1, TOLLIP, ARRB1, FZD4 and PIK3R1 were related to the immune infiltration via TIMER database. The expression of ARRB1, FNBP1, FZD4, and HERC1 was correlated with poor overall survival (OS) in NSCLC patients by cox regression and nomogram. Furthermore, the hub-mRNAs were validated in cell lines and tissues. CONCLUSION: We constructed the circRNA-miRNA-mRNA network that might provide novel insights into the pathogenesis of NSCLC and reveal promising immune infiltration and prognostic biomarkers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-021-02278-z.
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spelling pubmed-86055172021-11-22 Construction of circRNA-miRNA-mRNA network and identification of novel potential biomarkers for non-small cell lung cancer Yang, Jia Hao, Ran Zhang, Yunlong Deng, Haibin Teng, Wenjing Wang, Zhongqi Cancer Cell Int Primary Research BACKGROUND: The underlying circular RNAs (circRNAs)-related competitive endogenous RNA (ceRNA) mechanisms of pathogenesis and prognosis in non-small cell lung cancer (NSCLC) remain unclear. METHODS: Differentially expressed circRNAs (DECs) in two Gene Expression Omnibus datasets (GSE101684 and GSE112214) were identified by utilizing R package (Limma). Circinteractome and StarBase databases were used to predict circRNA associated-miRNAs and mRNAs, respectively. Then, protein–protein interaction (PPI) network of hub genes and ceRNA network were constructed by STRING and Cytoscape. Also, analyses of functional enrichment, genomic mutation and diagnostic ROC were performed. TIMER database was used to analyze the association between immune infiltration and target genes. Kaplan–Meier analysis, cox regression and the nomogram prediction model were used to evaluate the prognostic value of target genes. Finally, the expression of potential circRNAs and target genes was validated in cell lines and tissues by quantitative real-time PCR (qRT-PCR) and Human Protein Atlas (HPA) database. RESULTS: In this study, 15 DECs were identified between NSCLC tissues and adjacent-normal tissues in two GEO datasets. Following the qRT-PCR corroboration, 7 DECs (hsa_circ_0002017, hsa_circ_0069244, hsa_circ_026337, hsa_circ_0002346, hsa_circ_0007386, hsa_circ_0008234, hsa_circ_0006857) were dramatically downregulated in A549 and SK-MES-1 compared with HFL-1 cells. Then, 12 circRNA-sponged miRNAs were screened by Circinteractome and StarBase, especially, hsa-miR-767-3p and hsa-miR-767-5p were significantly up-regulated and relevant to the prognosis. Utilizing the miRDB and Cytoscape, 12 miRNA-target genes were found. Functional enrichment, genomic mutation and diagnostic analyses were also performed. Among them, FNBP1, AKT3, HERC1, COL4A1, TOLLIP, ARRB1, FZD4 and PIK3R1 were related to the immune infiltration via TIMER database. The expression of ARRB1, FNBP1, FZD4, and HERC1 was correlated with poor overall survival (OS) in NSCLC patients by cox regression and nomogram. Furthermore, the hub-mRNAs were validated in cell lines and tissues. CONCLUSION: We constructed the circRNA-miRNA-mRNA network that might provide novel insights into the pathogenesis of NSCLC and reveal promising immune infiltration and prognostic biomarkers. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12935-021-02278-z. BioMed Central 2021-11-20 /pmc/articles/PMC8605517/ /pubmed/34801043 http://dx.doi.org/10.1186/s12935-021-02278-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Primary Research
Yang, Jia
Hao, Ran
Zhang, Yunlong
Deng, Haibin
Teng, Wenjing
Wang, Zhongqi
Construction of circRNA-miRNA-mRNA network and identification of novel potential biomarkers for non-small cell lung cancer
title Construction of circRNA-miRNA-mRNA network and identification of novel potential biomarkers for non-small cell lung cancer
title_full Construction of circRNA-miRNA-mRNA network and identification of novel potential biomarkers for non-small cell lung cancer
title_fullStr Construction of circRNA-miRNA-mRNA network and identification of novel potential biomarkers for non-small cell lung cancer
title_full_unstemmed Construction of circRNA-miRNA-mRNA network and identification of novel potential biomarkers for non-small cell lung cancer
title_short Construction of circRNA-miRNA-mRNA network and identification of novel potential biomarkers for non-small cell lung cancer
title_sort construction of circrna-mirna-mrna network and identification of novel potential biomarkers for non-small cell lung cancer
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605517/
https://www.ncbi.nlm.nih.gov/pubmed/34801043
http://dx.doi.org/10.1186/s12935-021-02278-z
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