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Identification of Circular RNA-Based Immunomodulatory Networks in Colorectal Cancer
BACKGROUND: Circular RNAs (circRNAs) have been recently proposed as hub molecules in various diseases, especially in tumours. We found that circRNAs derived from ribonuclease P RNA component H1 (RPPH1) were highly expressed in colorectal cancer (CRC) samples from Gene Expression Omnibus (GEO) datase...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833313/ https://www.ncbi.nlm.nih.gov/pubmed/35155186 http://dx.doi.org/10.3389/fonc.2021.779706 |
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author | Feng, Zongfeng Li, Leyan Tu, Yi Shu, Xufeng Zhang, Yang Zeng, Qingwen Luo, Lianghua Wu, Ahao Chen, Wenzheng Cao, Yi Li, Zhengrong |
author_facet | Feng, Zongfeng Li, Leyan Tu, Yi Shu, Xufeng Zhang, Yang Zeng, Qingwen Luo, Lianghua Wu, Ahao Chen, Wenzheng Cao, Yi Li, Zhengrong |
author_sort | Feng, Zongfeng |
collection | PubMed |
description | BACKGROUND: Circular RNAs (circRNAs) have been recently proposed as hub molecules in various diseases, especially in tumours. We found that circRNAs derived from ribonuclease P RNA component H1 (RPPH1) were highly expressed in colorectal cancer (CRC) samples from Gene Expression Omnibus (GEO) datasets. OBJECTIVE: We sought to identify new circRNAs derived from RPPH1 and investigate their regulation of the competing endogenous RNA (ceRNA) and RNA binding protein (RBP) networks of CRC immune infiltration. METHODS: The circRNA expression profiles miRNA and mRNA data were extracted from the GEO and The Cancer Genome Atlas (TCGA) datasets, respectively. The differentially expressed (DE) RNAs were identified using R software and online server tools, and the circRNA–miRNA–mRNA and circRNA–protein networks were constructed using Cytoscape. The relationship between targeted genes and immune infiltration was identified using the GEPIA2 and TIMER2 online server tools. RESULTS: A ceRNA network, including eight circRNAs, five miRNAs, and six mRNAs, was revealed. Moreover, a circRNA–protein network, including eight circRNAs and 49 proteins, was established. The targeted genes, ENOX1, NCAM1, SAMD4A, and ZC3H10, are closely related to CRC tumour-infiltrating macrophages. CONCLUSIONS: We analysed the characteristics of circRNA from RPPH1 as competing for endogenous RNA binding miRNA or protein in CRC macrophage infiltration. The results point towards the development of a new diagnostic and therapeutic paradigm for CRC. |
format | Online Article Text |
id | pubmed-8833313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88333132022-02-12 Identification of Circular RNA-Based Immunomodulatory Networks in Colorectal Cancer Feng, Zongfeng Li, Leyan Tu, Yi Shu, Xufeng Zhang, Yang Zeng, Qingwen Luo, Lianghua Wu, Ahao Chen, Wenzheng Cao, Yi Li, Zhengrong Front Oncol Oncology BACKGROUND: Circular RNAs (circRNAs) have been recently proposed as hub molecules in various diseases, especially in tumours. We found that circRNAs derived from ribonuclease P RNA component H1 (RPPH1) were highly expressed in colorectal cancer (CRC) samples from Gene Expression Omnibus (GEO) datasets. OBJECTIVE: We sought to identify new circRNAs derived from RPPH1 and investigate their regulation of the competing endogenous RNA (ceRNA) and RNA binding protein (RBP) networks of CRC immune infiltration. METHODS: The circRNA expression profiles miRNA and mRNA data were extracted from the GEO and The Cancer Genome Atlas (TCGA) datasets, respectively. The differentially expressed (DE) RNAs were identified using R software and online server tools, and the circRNA–miRNA–mRNA and circRNA–protein networks were constructed using Cytoscape. The relationship between targeted genes and immune infiltration was identified using the GEPIA2 and TIMER2 online server tools. RESULTS: A ceRNA network, including eight circRNAs, five miRNAs, and six mRNAs, was revealed. Moreover, a circRNA–protein network, including eight circRNAs and 49 proteins, was established. The targeted genes, ENOX1, NCAM1, SAMD4A, and ZC3H10, are closely related to CRC tumour-infiltrating macrophages. CONCLUSIONS: We analysed the characteristics of circRNA from RPPH1 as competing for endogenous RNA binding miRNA or protein in CRC macrophage infiltration. The results point towards the development of a new diagnostic and therapeutic paradigm for CRC. Frontiers Media S.A. 2022-01-27 /pmc/articles/PMC8833313/ /pubmed/35155186 http://dx.doi.org/10.3389/fonc.2021.779706 Text en Copyright © 2022 Feng, Li, Tu, Shu, Zhang, Zeng, Luo, Wu, Chen, Cao and Li 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 | Oncology Feng, Zongfeng Li, Leyan Tu, Yi Shu, Xufeng Zhang, Yang Zeng, Qingwen Luo, Lianghua Wu, Ahao Chen, Wenzheng Cao, Yi Li, Zhengrong Identification of Circular RNA-Based Immunomodulatory Networks in Colorectal Cancer |
title | Identification of Circular RNA-Based Immunomodulatory Networks in Colorectal Cancer |
title_full | Identification of Circular RNA-Based Immunomodulatory Networks in Colorectal Cancer |
title_fullStr | Identification of Circular RNA-Based Immunomodulatory Networks in Colorectal Cancer |
title_full_unstemmed | Identification of Circular RNA-Based Immunomodulatory Networks in Colorectal Cancer |
title_short | Identification of Circular RNA-Based Immunomodulatory Networks in Colorectal Cancer |
title_sort | identification of circular rna-based immunomodulatory networks in colorectal cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833313/ https://www.ncbi.nlm.nih.gov/pubmed/35155186 http://dx.doi.org/10.3389/fonc.2021.779706 |
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