Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma

Despite the recent progress of lung adenocarcinoma (LUAD) therapy, tumor recurrence remained to be a challenging factor that impedes the effectiveness of treatment. The objective of the present study was to predict the hub genes affecting LUAD recurrence via weighted gene co-expression network analy...

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Autores principales:	Zhengze Shen, Shengwei Liu, Jie Liu, Jingdong Liu, Caoyuan Yao
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	lung adenocarcinoma tumor recurrence weighted gene co-expression network analysis hub genes transcription factor Genetics QH426-470
Acceso en línea:	https://doaj.org/article/a3f7ee460a62453695bb1b0edecb5f99
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spelling	oai:doaj.org-article:a3f7ee460a62453695bb1b0edecb5f992021-11-16T07:40:13ZWeighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma1664-802110.3389/fgene.2021.756235https://doaj.org/article/a3f7ee460a62453695bb1b0edecb5f992021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.756235/fullhttps://doaj.org/toc/1664-8021Despite the recent progress of lung adenocarcinoma (LUAD) therapy, tumor recurrence remained to be a challenging factor that impedes the effectiveness of treatment. The objective of the present study was to predict the hub genes affecting LUAD recurrence via weighted gene co-expression network analysis (WGCNA). Microarray samples from LUAD dataset of GSE32863 were analyzed, and the modules with the highest correlation to tumor recurrence were selected. Functional enrichment analysis was conducted, followed by establishment of a protein–protein interaction (PPI) network. Subsequently, hub genes were identified by overall survival analyses and further validated by evaluation of expression in both myeloid populations and tissue samples of LUAD. Gene set enrichment analysis (GSEA) was then carried out, and construction of transcription factors (TF)–hub gene and drug–hub gene interaction network was also achieved. A total of eight hub genes (ACTR3, ARPC5, RAB13, HNRNPK, PA2G4, WDR12, SRSF1, and NOP58) were finally identified to be closely correlated with LUAD recurrence. In addition, TFs that regulate hub genes have been predicted, including MYC, PML, and YY1. Finally, drugs including arsenic trioxide, cisplatin, Jinfukang, and sunitinib were mined for the treatment of the eight hub genes. In conclusion, our study may facilitate the invention of targeted therapeutic drugs and shed light on the understanding of the mechanism for LUAD recurrence.Zhengze ShenShengwei LiuJie LiuJingdong LiuCaoyuan YaoFrontiers Media S.A.articlelung adenocarcinomatumor recurrenceweighted gene co-expression network analysishub genestranscription factorGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	lung adenocarcinoma tumor recurrence weighted gene co-expression network analysis hub genes transcription factor Genetics QH426-470
spellingShingle	lung adenocarcinoma tumor recurrence weighted gene co-expression network analysis hub genes transcription factor Genetics QH426-470 Zhengze Shen Shengwei Liu Jie Liu Jingdong Liu Caoyuan Yao Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma
description	Despite the recent progress of lung adenocarcinoma (LUAD) therapy, tumor recurrence remained to be a challenging factor that impedes the effectiveness of treatment. The objective of the present study was to predict the hub genes affecting LUAD recurrence via weighted gene co-expression network analysis (WGCNA). Microarray samples from LUAD dataset of GSE32863 were analyzed, and the modules with the highest correlation to tumor recurrence were selected. Functional enrichment analysis was conducted, followed by establishment of a protein–protein interaction (PPI) network. Subsequently, hub genes were identified by overall survival analyses and further validated by evaluation of expression in both myeloid populations and tissue samples of LUAD. Gene set enrichment analysis (GSEA) was then carried out, and construction of transcription factors (TF)–hub gene and drug–hub gene interaction network was also achieved. A total of eight hub genes (ACTR3, ARPC5, RAB13, HNRNPK, PA2G4, WDR12, SRSF1, and NOP58) were finally identified to be closely correlated with LUAD recurrence. In addition, TFs that regulate hub genes have been predicted, including MYC, PML, and YY1. Finally, drugs including arsenic trioxide, cisplatin, Jinfukang, and sunitinib were mined for the treatment of the eight hub genes. In conclusion, our study may facilitate the invention of targeted therapeutic drugs and shed light on the understanding of the mechanism for LUAD recurrence.
format	article
author	Zhengze Shen Shengwei Liu Jie Liu Jingdong Liu Caoyuan Yao
author_facet	Zhengze Shen Shengwei Liu Jie Liu Jingdong Liu Caoyuan Yao
author_sort	Zhengze Shen
title	Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma
title_short	Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma
title_full	Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma
title_fullStr	Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma
title_full_unstemmed	Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma
title_sort	weighted gene co-expression network analysis and treatment strategies of tumor recurrence-associated hub genes in lung adenocarcinoma
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/a3f7ee460a62453695bb1b0edecb5f99
work_keys_str_mv	AT zhengzeshen weightedgenecoexpressionnetworkanalysisandtreatmentstrategiesoftumorrecurrenceassociatedhubgenesinlungadenocarcinoma AT shengweiliu weightedgenecoexpressionnetworkanalysisandtreatmentstrategiesoftumorrecurrenceassociatedhubgenesinlungadenocarcinoma AT jieliu weightedgenecoexpressionnetworkanalysisandtreatmentstrategiesoftumorrecurrenceassociatedhubgenesinlungadenocarcinoma AT jingdongliu weightedgenecoexpressionnetworkanalysisandtreatmentstrategiesoftumorrecurrenceassociatedhubgenesinlungadenocarcinoma AT caoyuanyao weightedgenecoexpressionnetworkanalysisandtreatmentstrategiesoftumorrecurrenceassociatedhubgenesinlungadenocarcinoma
_version_	1718426623591579648

Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma

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