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Construction and Comprehensive Prognostic Analysis of a lncRNA–miRNA–mRNA Regulatory Network and Tumor Immune Cell Infiltration in Colorectal Cancer
Colorectal cancer (CRC) is a malignant tumor with high morbidity and mortality worldwide. Recent studies have shown that long noncoding RNAs (lncRNAs) play an important role in almost all human tumors, including CRC. Competitive endogenous RNA (ceRNA) regulatory networks have become hot topics in ca...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8281064/ https://www.ncbi.nlm.nih.gov/pubmed/34276767 http://dx.doi.org/10.3389/fgene.2021.652601 |
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author | Guo, Xiong Liang, Xiaolong Wang, Yujun Cheng, Anqi Qin, Chuan Zhang, Han Wang, Ziwei |
author_facet | Guo, Xiong Liang, Xiaolong Wang, Yujun Cheng, Anqi Qin, Chuan Zhang, Han Wang, Ziwei |
author_sort | Guo, Xiong |
collection | PubMed |
description | Colorectal cancer (CRC) is a malignant tumor with high morbidity and mortality worldwide. Recent studies have shown that long noncoding RNAs (lncRNAs) play an important role in almost all human tumors, including CRC. Competitive endogenous RNA (ceRNA) regulatory networks have become hot topics in cancer research. Tumor-infiltrating immune cells (TICs) have also been reported to be closely related to the survival and prognosis of CRC patients. In this study, we used the lncRNA–miRNA–mRNA regulatory network combined with tumor immune cell infiltration to predict the survival and prognosis of 598 CRC patients. First, we downloaded the lncRNA, mRNA, and miRNA transcriptome data of CRC patients from The Cancer Genome Atlas (TCGA) database and identified differentially expressed genes through “limma” package of R software. The ceRNA regulatory network was established by using the “GDCRNATools” R package. Then, univariate Cox analysis and least absolute shrinkage and selection operator analysis were performed to identify the optimal prognostic network nodes, including SRPX, UST, H19, SNHG7, hsa-miR-29b-3p, and TTYH3. Next, we analyzed the differences in 22 types of TICs between 58 normal subjects and 206 CRC patients and included memory CD4 T cells, dendritic cells and neutrophils in the construction of a prognostic model. Finally, we identified the relationship between the ceRNA prognostic model and the infiltrating immune cell prognostic model. In conclusion, we constructed two prognostic models that provide insights on the prognosis and treatment strategy of CRC. |
format | Online Article Text |
id | pubmed-8281064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82810642021-07-16 Construction and Comprehensive Prognostic Analysis of a lncRNA–miRNA–mRNA Regulatory Network and Tumor Immune Cell Infiltration in Colorectal Cancer Guo, Xiong Liang, Xiaolong Wang, Yujun Cheng, Anqi Qin, Chuan Zhang, Han Wang, Ziwei Front Genet Genetics Colorectal cancer (CRC) is a malignant tumor with high morbidity and mortality worldwide. Recent studies have shown that long noncoding RNAs (lncRNAs) play an important role in almost all human tumors, including CRC. Competitive endogenous RNA (ceRNA) regulatory networks have become hot topics in cancer research. Tumor-infiltrating immune cells (TICs) have also been reported to be closely related to the survival and prognosis of CRC patients. In this study, we used the lncRNA–miRNA–mRNA regulatory network combined with tumor immune cell infiltration to predict the survival and prognosis of 598 CRC patients. First, we downloaded the lncRNA, mRNA, and miRNA transcriptome data of CRC patients from The Cancer Genome Atlas (TCGA) database and identified differentially expressed genes through “limma” package of R software. The ceRNA regulatory network was established by using the “GDCRNATools” R package. Then, univariate Cox analysis and least absolute shrinkage and selection operator analysis were performed to identify the optimal prognostic network nodes, including SRPX, UST, H19, SNHG7, hsa-miR-29b-3p, and TTYH3. Next, we analyzed the differences in 22 types of TICs between 58 normal subjects and 206 CRC patients and included memory CD4 T cells, dendritic cells and neutrophils in the construction of a prognostic model. Finally, we identified the relationship between the ceRNA prognostic model and the infiltrating immune cell prognostic model. In conclusion, we constructed two prognostic models that provide insights on the prognosis and treatment strategy of CRC. Frontiers Media S.A. 2021-07-01 /pmc/articles/PMC8281064/ /pubmed/34276767 http://dx.doi.org/10.3389/fgene.2021.652601 Text en Copyright © 2021 Guo, Liang, Wang, Cheng, Qin, Zhang and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Guo, Xiong Liang, Xiaolong Wang, Yujun Cheng, Anqi Qin, Chuan Zhang, Han Wang, Ziwei Construction and Comprehensive Prognostic Analysis of a lncRNA–miRNA–mRNA Regulatory Network and Tumor Immune Cell Infiltration in Colorectal Cancer |
title | Construction and Comprehensive Prognostic Analysis of a lncRNA–miRNA–mRNA Regulatory Network and Tumor Immune Cell Infiltration in Colorectal Cancer |
title_full | Construction and Comprehensive Prognostic Analysis of a lncRNA–miRNA–mRNA Regulatory Network and Tumor Immune Cell Infiltration in Colorectal Cancer |
title_fullStr | Construction and Comprehensive Prognostic Analysis of a lncRNA–miRNA–mRNA Regulatory Network and Tumor Immune Cell Infiltration in Colorectal Cancer |
title_full_unstemmed | Construction and Comprehensive Prognostic Analysis of a lncRNA–miRNA–mRNA Regulatory Network and Tumor Immune Cell Infiltration in Colorectal Cancer |
title_short | Construction and Comprehensive Prognostic Analysis of a lncRNA–miRNA–mRNA Regulatory Network and Tumor Immune Cell Infiltration in Colorectal Cancer |
title_sort | construction and comprehensive prognostic analysis of a lncrna–mirna–mrna regulatory network and tumor immune cell infiltration in colorectal cancer |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8281064/ https://www.ncbi.nlm.nih.gov/pubmed/34276767 http://dx.doi.org/10.3389/fgene.2021.652601 |
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