Comprehensive analysis of competitive endogenous RNA associated with immune infiltration in lung adenocarcinoma

Abstract To identify the prognostic biomarker of the competitive endogenous RNA (ceRNA) and explore the tumor infiltrating immune cells (TIICs) which might be the potential prognostic factors in lung adenocarcinoma. In addition, we also try to explain the crosstalk between the ceRNA and TIICs to exp...

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Main Authors: Wenjie Chen, Wen Li, Zhenkun Liu, Guangzhi Ma, Yunfu Deng, Xiaogang Li, Zhu Wang, Qinghua zhou
Format: Article
Language:English
Published: Nature Publishing Group 2021-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-90755-w
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spelling doaj-3d9ebf6a06744f4e9027ffbdbbcdf30a2021-05-30T11:36:48ZengNature Publishing GroupScientific Reports2045-23222021-05-0111111410.1038/s41598-021-90755-wComprehensive analysis of competitive endogenous RNA associated with immune infiltration in lung adenocarcinomaWenjie Chen0Wen Li1Zhenkun Liu2Guangzhi Ma3Yunfu Deng4Xiaogang Li5Zhu Wang6Qinghua zhou7Lung Cancer Center, West China Hospital, Sichuan UniversityLung Cancer Center, West China Hospital, Sichuan UniversityLung Cancer Center, West China Hospital, Sichuan UniversityLung Cancer Center, West China Hospital, Sichuan UniversityLung Cancer Center, West China Hospital, Sichuan UniversityLung Cancer Center, West China Hospital, Sichuan UniversityLaboratory of Molecular Diagnosis of Cancer, Cancer Center, West China Hospital, Sichuan UniversityLung Cancer Center, West China Hospital, Sichuan UniversityAbstract To identify the prognostic biomarker of the competitive endogenous RNA (ceRNA) and explore the tumor infiltrating immune cells (TIICs) which might be the potential prognostic factors in lung adenocarcinoma. In addition, we also try to explain the crosstalk between the ceRNA and TIICs to explore the molecular mechanisms involved in lung adenocarcinoma. The transcriptome data of lung adenocarcinoma were obtained from The Cancer Genome Atlas (TCGA) database, and the hypergeometric correlation of the differently expressed miRNA-lncRNA and miRNA-mRNA were analyzed based on the starBase. In addition, the Kaplan–Meier survival and Cox regression model analysis were used to identify the prognostic ceRNA network and TIICs. Correlation analysis was performed to analysis the correlation between the ceRNA network and TIICs. In the differently expressed RNAs between tumor and normal tissue, a total of 190 miRNAs, 224 lncRNAs and 3024 mRNAs were detected, and the constructed ceRNA network contained 5 lncRNAs, 92 mRNAs and 10 miRNAs. Then, six prognostic RNAs (FKBP3, GPI, LOXL2, IL22RA1, GPR37, and has-miR-148a-3p) were viewed as the key members for constructing the prognostic prediction model in the ceRNA network, and three kinds of TIICs (Monocytes, Macrophages M1, activated mast cells) were identified to be significantly related with the prognosis in lung adenocarcinoma. Correlation analysis suggested that the FKBP3 was associated with Monocytes and Macrophages M1, and the GPI was obviously related with Monocytes and Macrophages M1. Besides, the LOXL2 was associated with Monocytes and Activated mast cells, and the IL22RA1 was significantly associated with Monocytes and Macrophages M1, while the GPR37 and Macrophages M1 was closely related. The constructed ceRNA network and identified Monocytes, Macrophages M1 and activated Mast cells are all prognostic factors for lung adenocarcinoma. Moreover, the crosstalk between the ceRNA network and TIICs might be a potential molecular mechanism involved.https://doi.org/10.1038/s41598-021-90755-w
collection DOAJ
language English
format Article
sources DOAJ
author Wenjie Chen
Wen Li
Zhenkun Liu
Guangzhi Ma
Yunfu Deng
Xiaogang Li
Zhu Wang
Qinghua zhou
spellingShingle Wenjie Chen
Wen Li
Zhenkun Liu
Guangzhi Ma
Yunfu Deng
Xiaogang Li
Zhu Wang
Qinghua zhou
Comprehensive analysis of competitive endogenous RNA associated with immune infiltration in lung adenocarcinoma
Scientific Reports
author_facet Wenjie Chen
Wen Li
Zhenkun Liu
Guangzhi Ma
Yunfu Deng
Xiaogang Li
Zhu Wang
Qinghua zhou
author_sort Wenjie Chen
title Comprehensive analysis of competitive endogenous RNA associated with immune infiltration in lung adenocarcinoma
title_short Comprehensive analysis of competitive endogenous RNA associated with immune infiltration in lung adenocarcinoma
title_full Comprehensive analysis of competitive endogenous RNA associated with immune infiltration in lung adenocarcinoma
title_fullStr Comprehensive analysis of competitive endogenous RNA associated with immune infiltration in lung adenocarcinoma
title_full_unstemmed Comprehensive analysis of competitive endogenous RNA associated with immune infiltration in lung adenocarcinoma
title_sort comprehensive analysis of competitive endogenous rna associated with immune infiltration in lung adenocarcinoma
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-05-01
description Abstract To identify the prognostic biomarker of the competitive endogenous RNA (ceRNA) and explore the tumor infiltrating immune cells (TIICs) which might be the potential prognostic factors in lung adenocarcinoma. In addition, we also try to explain the crosstalk between the ceRNA and TIICs to explore the molecular mechanisms involved in lung adenocarcinoma. The transcriptome data of lung adenocarcinoma were obtained from The Cancer Genome Atlas (TCGA) database, and the hypergeometric correlation of the differently expressed miRNA-lncRNA and miRNA-mRNA were analyzed based on the starBase. In addition, the Kaplan–Meier survival and Cox regression model analysis were used to identify the prognostic ceRNA network and TIICs. Correlation analysis was performed to analysis the correlation between the ceRNA network and TIICs. In the differently expressed RNAs between tumor and normal tissue, a total of 190 miRNAs, 224 lncRNAs and 3024 mRNAs were detected, and the constructed ceRNA network contained 5 lncRNAs, 92 mRNAs and 10 miRNAs. Then, six prognostic RNAs (FKBP3, GPI, LOXL2, IL22RA1, GPR37, and has-miR-148a-3p) were viewed as the key members for constructing the prognostic prediction model in the ceRNA network, and three kinds of TIICs (Monocytes, Macrophages M1, activated mast cells) were identified to be significantly related with the prognosis in lung adenocarcinoma. Correlation analysis suggested that the FKBP3 was associated with Monocytes and Macrophages M1, and the GPI was obviously related with Monocytes and Macrophages M1. Besides, the LOXL2 was associated with Monocytes and Activated mast cells, and the IL22RA1 was significantly associated with Monocytes and Macrophages M1, while the GPR37 and Macrophages M1 was closely related. The constructed ceRNA network and identified Monocytes, Macrophages M1 and activated Mast cells are all prognostic factors for lung adenocarcinoma. Moreover, the crosstalk between the ceRNA network and TIICs might be a potential molecular mechanism involved.
url https://doi.org/10.1038/s41598-021-90755-w
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