Integrated bioinformatics analysis of noncoding RNAs with tumor immune microenvironment in gastric cancer

Abstract In recent years, molecular and genetic research hotspots of gastric cancer have been investigated, including microRNAs, long noncoding RNAs (lncRNAs) and messenger RNA (mRNAs). The study on the role of lncRNAs may help to develop personalized treatment and identify potential prognostic biom...

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Main Authors: Jun Xu, Shengnan Hu, Qiuli Chen, Lilu Shu, Peter Wang, Jianjiang Wang
Format: Article
Language:English
Published: Nature Portfolio 2023-09-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-41444-3
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author Jun Xu
Shengnan Hu
Qiuli Chen
Lilu Shu
Peter Wang
Jianjiang Wang
author_facet Jun Xu
Shengnan Hu
Qiuli Chen
Lilu Shu
Peter Wang
Jianjiang Wang
author_sort Jun Xu
collection DOAJ
description Abstract In recent years, molecular and genetic research hotspots of gastric cancer have been investigated, including microRNAs, long noncoding RNAs (lncRNAs) and messenger RNA (mRNAs). The study on the role of lncRNAs may help to develop personalized treatment and identify potential prognostic biomarkers in gastric cancer. The RNA-seq and miRNA-seq data of gastric cancer were downloaded from the TCGA database. Differential analysis of RNA expression between gastric cancer samples and normal samples was performed using the edgeR package. The ceRNA regulatory network was visualized using Cytoscape. KEGG pathway analysis of mRNAs in the ceRNA network was performed using the clusterProfiler package. CIBERSORT was used to distinguish 22 immune cell types and the prognosis-related genes and immune cells were determined using Kaplan-Meier and Cox proportional hazard analyses. To estimate these nomograms, we used receiver operating characteristic and calibration curve studies. The ceRNA regulation network of gastric cancer was built in this study, and the genes in the network were analyzed for prognosis. A total of 980 lncRNAs were differentially expressed, of which 774 were upregulated and 206 were downregulated. A survival study identified 15 genes associated with gastric cancer prognosis, including VCAN-AS1, SERPINE1, AL139002.1, LINC00326, AC018781.1, C15orf54, hsa-miR-145. Monocytes and Neutrophils were associated with the survival rate of gastric cancer. Our research uncovers new ceRNA network for the detection, treatment, and monitoring of gastric cancer.
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spelling doaj.art-af2ef5b924e0496dbdd0856a49abfed82023-11-20T09:26:36ZengNature PortfolioScientific Reports2045-23222023-09-0113111610.1038/s41598-023-41444-3Integrated bioinformatics analysis of noncoding RNAs with tumor immune microenvironment in gastric cancerJun Xu0Shengnan Hu1Qiuli Chen2Lilu Shu3Peter Wang4Jianjiang Wang5First People’s Hospital of Hangzhou Lin’an District, Affiliated Lin’an People’s Hospital, Hangzhou Medical CollegeFirst People’s Hospital of Hangzhou Lin’an District, Affiliated Lin’an People’s Hospital, Hangzhou Medical CollegeDepartment of Research and Development, Zhejiang Zhongwei Medical Research CenterDepartment of Research and Development, Zhejiang Zhongwei Medical Research CenterDepartment of Research and Development, Zhejiang Zhongwei Medical Research CenterFirst People’s Hospital of Hangzhou Lin’an District, Affiliated Lin’an People’s Hospital, Hangzhou Medical CollegeAbstract In recent years, molecular and genetic research hotspots of gastric cancer have been investigated, including microRNAs, long noncoding RNAs (lncRNAs) and messenger RNA (mRNAs). The study on the role of lncRNAs may help to develop personalized treatment and identify potential prognostic biomarkers in gastric cancer. The RNA-seq and miRNA-seq data of gastric cancer were downloaded from the TCGA database. Differential analysis of RNA expression between gastric cancer samples and normal samples was performed using the edgeR package. The ceRNA regulatory network was visualized using Cytoscape. KEGG pathway analysis of mRNAs in the ceRNA network was performed using the clusterProfiler package. CIBERSORT was used to distinguish 22 immune cell types and the prognosis-related genes and immune cells were determined using Kaplan-Meier and Cox proportional hazard analyses. To estimate these nomograms, we used receiver operating characteristic and calibration curve studies. The ceRNA regulation network of gastric cancer was built in this study, and the genes in the network were analyzed for prognosis. A total of 980 lncRNAs were differentially expressed, of which 774 were upregulated and 206 were downregulated. A survival study identified 15 genes associated with gastric cancer prognosis, including VCAN-AS1, SERPINE1, AL139002.1, LINC00326, AC018781.1, C15orf54, hsa-miR-145. Monocytes and Neutrophils were associated with the survival rate of gastric cancer. Our research uncovers new ceRNA network for the detection, treatment, and monitoring of gastric cancer.https://doi.org/10.1038/s41598-023-41444-3
spellingShingle Jun Xu
Shengnan Hu
Qiuli Chen
Lilu Shu
Peter Wang
Jianjiang Wang
Integrated bioinformatics analysis of noncoding RNAs with tumor immune microenvironment in gastric cancer
Scientific Reports
title Integrated bioinformatics analysis of noncoding RNAs with tumor immune microenvironment in gastric cancer
title_full Integrated bioinformatics analysis of noncoding RNAs with tumor immune microenvironment in gastric cancer
title_fullStr Integrated bioinformatics analysis of noncoding RNAs with tumor immune microenvironment in gastric cancer
title_full_unstemmed Integrated bioinformatics analysis of noncoding RNAs with tumor immune microenvironment in gastric cancer
title_short Integrated bioinformatics analysis of noncoding RNAs with tumor immune microenvironment in gastric cancer
title_sort integrated bioinformatics analysis of noncoding rnas with tumor immune microenvironment in gastric cancer
url https://doi.org/10.1038/s41598-023-41444-3
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AT lilushu integratedbioinformaticsanalysisofnoncodingrnaswithtumorimmunemicroenvironmentingastriccancer
AT peterwang integratedbioinformaticsanalysisofnoncodingrnaswithtumorimmunemicroenvironmentingastriccancer
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