Identification of LncRNA Prognostic Markers for Ovarian Cancer by Integration of Co-expression and CeRNA Network

BackgroundOvarian cancer (OC), one of the most prevalent gynecological malignancies, is characterized by late detection and dismal prognosis. Recent studies show that long non-coding RNAs (lncRNAs) in competitive endogenous RNA (ceRNA) networks influence immune infiltration and cancer prognosis. How...

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Main Authors: Huisheng Liang, Yuquan Bai, Hailong Wang, Xiangjun Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2020.566497/full
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author Huisheng Liang
Huisheng Liang
Yuquan Bai
Hailong Wang
Hailong Wang
Xiangjun Yang
author_facet Huisheng Liang
Huisheng Liang
Yuquan Bai
Hailong Wang
Hailong Wang
Xiangjun Yang
author_sort Huisheng Liang
collection DOAJ
description BackgroundOvarian cancer (OC), one of the most prevalent gynecological malignancies, is characterized by late detection and dismal prognosis. Recent studies show that long non-coding RNAs (lncRNAs) in competitive endogenous RNA (ceRNA) networks influence immune infiltration and cancer prognosis. However, the function of lncRNA in OC immune infiltration and prognosis remains unclear.MethodsTranscriptomes of 378 OC samples and clinical data were retrieved from the TCGA repository. Modules related to immune cells were identified using weighted gene co-expression network analysis (WGCNA). Functional enrichment analysis and survival analysis were then performed for the identification of immune-related lncRNAs in the brown module using Cox regression model. Finally, a ceRNA network was constructed by using the lncRNAs and mRNAs from the brown module.ResultsWe found lncRNAs and mRNAs in the brown module to be significantly associated with immune cells in OC and identified 4 lncRNAs as potential OC prognostic markers. We further established that lncRNAs in the ceRNA network influence OC immune infiltration and prognosis by regulating miRNA, ultimately modulating mRNA levels.ConclusionWe have identified 4 lncRNAs as independent immune prognostic factors for OC. Furthermore, our findings offer novel insight into lncRNAs as OC immune and prognostic biomarkers.
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spelling doaj.art-434c70e422c847ff9c2b8ce88c5243852022-12-21T17:13:08ZengFrontiers Media S.A.Frontiers in Genetics1664-80212021-02-011110.3389/fgene.2020.566497566497Identification of LncRNA Prognostic Markers for Ovarian Cancer by Integration of Co-expression and CeRNA NetworkHuisheng Liang0Huisheng Liang1Yuquan Bai2Hailong Wang3Hailong Wang4Xiangjun Yang5Department of Gynecology and Obstetrics, The Affiliated Zhongshan Hospital of Xiamen University, Xiamen, ChinaOrgan Transplantation Institute, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, ChinaOrgan Transplantation Institute, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Basic Medicine, School of Medicine, Xiamen University, Xiamen, ChinaDepartment of Gynecology and Obstetrics, The Affiliated Zhongshan Hospital of Xiamen University, Xiamen, ChinaBackgroundOvarian cancer (OC), one of the most prevalent gynecological malignancies, is characterized by late detection and dismal prognosis. Recent studies show that long non-coding RNAs (lncRNAs) in competitive endogenous RNA (ceRNA) networks influence immune infiltration and cancer prognosis. However, the function of lncRNA in OC immune infiltration and prognosis remains unclear.MethodsTranscriptomes of 378 OC samples and clinical data were retrieved from the TCGA repository. Modules related to immune cells were identified using weighted gene co-expression network analysis (WGCNA). Functional enrichment analysis and survival analysis were then performed for the identification of immune-related lncRNAs in the brown module using Cox regression model. Finally, a ceRNA network was constructed by using the lncRNAs and mRNAs from the brown module.ResultsWe found lncRNAs and mRNAs in the brown module to be significantly associated with immune cells in OC and identified 4 lncRNAs as potential OC prognostic markers. We further established that lncRNAs in the ceRNA network influence OC immune infiltration and prognosis by regulating miRNA, ultimately modulating mRNA levels.ConclusionWe have identified 4 lncRNAs as independent immune prognostic factors for OC. Furthermore, our findings offer novel insight into lncRNAs as OC immune and prognostic biomarkers.https://www.frontiersin.org/articles/10.3389/fgene.2020.566497/fullimmune cell abundanceweighted gene co-expression network analyseslong noncoding RNAceRNA network analysisovarian cancer
spellingShingle Huisheng Liang
Huisheng Liang
Yuquan Bai
Hailong Wang
Hailong Wang
Xiangjun Yang
Identification of LncRNA Prognostic Markers for Ovarian Cancer by Integration of Co-expression and CeRNA Network
Frontiers in Genetics
immune cell abundance
weighted gene co-expression network analyses
long noncoding RNA
ceRNA network analysis
ovarian cancer
title Identification of LncRNA Prognostic Markers for Ovarian Cancer by Integration of Co-expression and CeRNA Network
title_full Identification of LncRNA Prognostic Markers for Ovarian Cancer by Integration of Co-expression and CeRNA Network
title_fullStr Identification of LncRNA Prognostic Markers for Ovarian Cancer by Integration of Co-expression and CeRNA Network
title_full_unstemmed Identification of LncRNA Prognostic Markers for Ovarian Cancer by Integration of Co-expression and CeRNA Network
title_short Identification of LncRNA Prognostic Markers for Ovarian Cancer by Integration of Co-expression and CeRNA Network
title_sort identification of lncrna prognostic markers for ovarian cancer by integration of co expression and cerna network
topic immune cell abundance
weighted gene co-expression network analyses
long noncoding RNA
ceRNA network analysis
ovarian cancer
url https://www.frontiersin.org/articles/10.3389/fgene.2020.566497/full
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