Construction of competitive endogenous RNA network related to circular RNA and prognostic nomogram model in lung adenocarcinoma

Early researches have revealed that circular RNA (circRNA) had the potential of biomarkers and could affect tumor progression through regulatory networks. However, few research focused on the function of circRNA in lung adenocarcinoma and the regulation mechanism of competitive endogenous RNA. In pr...

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Autores principales:	Pingping Song, Jing Chen, Xu Zhang, Xiaofeng Yin
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	lung adenocarcinoma circular rna competitive endogenous network nomogram model bioinformatics Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/e29bd1d9e48744d2b0bada9b667f0f9d
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spelling	oai:doaj.org-article:e29bd1d9e48744d2b0bada9b667f0f9d2021-11-29T06:47:33ZConstruction of competitive endogenous RNA network related to circular RNA and prognostic nomogram model in lung adenocarcinoma10.3934/mbe.20214811551-0018https://doaj.org/article/e29bd1d9e48744d2b0bada9b667f0f9d2021-11-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021481?viewType=HTMLhttps://doaj.org/toc/1551-0018Early researches have revealed that circular RNA (circRNA) had the potential of biomarkers and could affect tumor progression through regulatory networks. However, few research focused on the function of circRNA in lung adenocarcinoma and the regulation mechanism of competitive endogenous RNA. In present study, through differential expression analysis, 10 circRNAs, 98 miRNAs(microRNA) and 2497 mRNAs were screened. Based on the 10 circRNAs and related databases, a competitive endogenous RNA regulatory network (ceRNA network) containing 7 circRNAs, 13 miRNAs and 147 mRNAs was constructed. KEGG and GO analysis suggested that 147 mRNAs were obviously enriched in biological pathway related to LUAD. By constructing a PPI network, 12 hub genes were identified by MCODE. The result of survival analysis showed that 10 hub genes (BIRC5, MKI67, CENPF, RRM2, BUB1, MELK, CEP55, CDK1, NEK2, TOP2A) were significantly related to the survival of LUAD. We randomly divided 483 clinical data into two parts: train set and validation set. The train set was used for Cox regression analysis, 3 prognostic factors (stage, T, CDK1) were screened. The nomogram model was constructed based on stage, T and CDK1. The model was evaluated by ROC curve, calibration chart, Kaplan-Meier (KM) curve and validation set data. The results indicated that the model has good accuracy. Our study elucidated the regulatory mechanism of circRNA in lung adenocarcinoma, and the nomogram model also provided insight for the clinical analysis of lung adenocarcinoma.Pingping Song Jing ChenXu Zhang Xiaofeng YinAIMS Pressarticlelung adenocarcinomacircular rnacompetitive endogenous networknomogram modelbioinformaticsBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 9806-9821 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	lung adenocarcinoma circular rna competitive endogenous network nomogram model bioinformatics Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	lung adenocarcinoma circular rna competitive endogenous network nomogram model bioinformatics Biotechnology TP248.13-248.65 Mathematics QA1-939 Pingping Song Jing Chen Xu Zhang Xiaofeng Yin Construction of competitive endogenous RNA network related to circular RNA and prognostic nomogram model in lung adenocarcinoma
description	Early researches have revealed that circular RNA (circRNA) had the potential of biomarkers and could affect tumor progression through regulatory networks. However, few research focused on the function of circRNA in lung adenocarcinoma and the regulation mechanism of competitive endogenous RNA. In present study, through differential expression analysis, 10 circRNAs, 98 miRNAs(microRNA) and 2497 mRNAs were screened. Based on the 10 circRNAs and related databases, a competitive endogenous RNA regulatory network (ceRNA network) containing 7 circRNAs, 13 miRNAs and 147 mRNAs was constructed. KEGG and GO analysis suggested that 147 mRNAs were obviously enriched in biological pathway related to LUAD. By constructing a PPI network, 12 hub genes were identified by MCODE. The result of survival analysis showed that 10 hub genes (BIRC5, MKI67, CENPF, RRM2, BUB1, MELK, CEP55, CDK1, NEK2, TOP2A) were significantly related to the survival of LUAD. We randomly divided 483 clinical data into two parts: train set and validation set. The train set was used for Cox regression analysis, 3 prognostic factors (stage, T, CDK1) were screened. The nomogram model was constructed based on stage, T and CDK1. The model was evaluated by ROC curve, calibration chart, Kaplan-Meier (KM) curve and validation set data. The results indicated that the model has good accuracy. Our study elucidated the regulatory mechanism of circRNA in lung adenocarcinoma, and the nomogram model also provided insight for the clinical analysis of lung adenocarcinoma.
format	article
author	Pingping Song Jing Chen Xu Zhang Xiaofeng Yin
author_facet	Pingping Song Jing Chen Xu Zhang Xiaofeng Yin
author_sort	Pingping Song
title	Construction of competitive endogenous RNA network related to circular RNA and prognostic nomogram model in lung adenocarcinoma
title_short	Construction of competitive endogenous RNA network related to circular RNA and prognostic nomogram model in lung adenocarcinoma
title_full	Construction of competitive endogenous RNA network related to circular RNA and prognostic nomogram model in lung adenocarcinoma
title_fullStr	Construction of competitive endogenous RNA network related to circular RNA and prognostic nomogram model in lung adenocarcinoma
title_full_unstemmed	Construction of competitive endogenous RNA network related to circular RNA and prognostic nomogram model in lung adenocarcinoma
title_sort	construction of competitive endogenous rna network related to circular rna and prognostic nomogram model in lung adenocarcinoma
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/e29bd1d9e48744d2b0bada9b667f0f9d
work_keys_str_mv	AT pingpingsong constructionofcompetitiveendogenousrnanetworkrelatedtocircularrnaandprognosticnomogrammodelinlungadenocarcinoma AT jingchen constructionofcompetitiveendogenousrnanetworkrelatedtocircularrnaandprognosticnomogrammodelinlungadenocarcinoma AT xuzhang constructionofcompetitiveendogenousrnanetworkrelatedtocircularrnaandprognosticnomogrammodelinlungadenocarcinoma AT xiaofengyin constructionofcompetitiveendogenousrnanetworkrelatedtocircularrnaandprognosticnomogrammodelinlungadenocarcinoma
_version_	1718407557159059456

Construction of competitive endogenous RNA network related to circular RNA and prognostic nomogram model in lung adenocarcinoma

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