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Construction of CeRNA regulatory network based on WGCNA reveals diagnosis biomarkers for colorectal cancer
BACKGROUND: Colorectal cancer is the third most common cause of death among cancers in the world. Although improvements in various treatments have greatly improved the survival time of colorectal cancer patients, since colorectal cancer is often at an advanced stage when diagnosed, the prognosis of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482270/ https://www.ncbi.nlm.nih.gov/pubmed/36115953 http://dx.doi.org/10.1186/s12885-022-10054-z |
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author | Xiang, Jun Gao, Li Jing, Hao Yu Liu, Yun Xiao Wang, Hu Fei Chang, Ze Wen Liu, Shi Hao Yu, Lei Wang, Gui Yu |
author_facet | Xiang, Jun Gao, Li Jing, Hao Yu Liu, Yun Xiao Wang, Hu Fei Chang, Ze Wen Liu, Shi Hao Yu, Lei Wang, Gui Yu |
author_sort | Xiang, Jun |
collection | PubMed |
description | BACKGROUND: Colorectal cancer is the third most common cause of death among cancers in the world. Although improvements in various treatments have greatly improved the survival time of colorectal cancer patients, since colorectal cancer is often at an advanced stage when diagnosed, the prognosis of patients is still very poor. Since the ceRNA regulatory network was proposed in 2011, it has greatly promoted the study of the molecular mechanism of colorectal cancer occurrence and development. OBJECTIVE: Exploring the new molecular mechanism of colorectal cancer occurrence and development and providing new targets for the diagnosis and treatment of colorectal cancer. METHOD: We analyzed the RNA-seq data of CRC from TCGA, such as differential expression analysis, weighted gene co-expression network analysis (WGCNA) and construction of ceRNA regulatory network. RESULTS: We constructed a ceRNA network using RNA-seq data of CRC from TCGA. In the ceRNA regulatory network, 19 hub molecules with significant prognostic effects were ultimately identified, including 8 lncRNAs, 2 mRNAs and 9 miRNAs. These hub molecules constitute the lncRNA-miRNA, miRNA-mRNA or lncRNA-miRNA-mRNA axis. CONCLUSION: In this article, some new ceRNA regulatory axes have been discovered, which may potentially disclose new molecular mechanisms for the occurrence and development of colorectal cancer, thereby providing an important blueprint for the treatment and prognosis assessment of CRC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10054-z. |
format | Online Article Text |
id | pubmed-9482270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94822702022-09-18 Construction of CeRNA regulatory network based on WGCNA reveals diagnosis biomarkers for colorectal cancer Xiang, Jun Gao, Li Jing, Hao Yu Liu, Yun Xiao Wang, Hu Fei Chang, Ze Wen Liu, Shi Hao Yu, Lei Wang, Gui Yu BMC Cancer Research BACKGROUND: Colorectal cancer is the third most common cause of death among cancers in the world. Although improvements in various treatments have greatly improved the survival time of colorectal cancer patients, since colorectal cancer is often at an advanced stage when diagnosed, the prognosis of patients is still very poor. Since the ceRNA regulatory network was proposed in 2011, it has greatly promoted the study of the molecular mechanism of colorectal cancer occurrence and development. OBJECTIVE: Exploring the new molecular mechanism of colorectal cancer occurrence and development and providing new targets for the diagnosis and treatment of colorectal cancer. METHOD: We analyzed the RNA-seq data of CRC from TCGA, such as differential expression analysis, weighted gene co-expression network analysis (WGCNA) and construction of ceRNA regulatory network. RESULTS: We constructed a ceRNA network using RNA-seq data of CRC from TCGA. In the ceRNA regulatory network, 19 hub molecules with significant prognostic effects were ultimately identified, including 8 lncRNAs, 2 mRNAs and 9 miRNAs. These hub molecules constitute the lncRNA-miRNA, miRNA-mRNA or lncRNA-miRNA-mRNA axis. CONCLUSION: In this article, some new ceRNA regulatory axes have been discovered, which may potentially disclose new molecular mechanisms for the occurrence and development of colorectal cancer, thereby providing an important blueprint for the treatment and prognosis assessment of CRC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10054-z. BioMed Central 2022-09-17 /pmc/articles/PMC9482270/ /pubmed/36115953 http://dx.doi.org/10.1186/s12885-022-10054-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Xiang, Jun Gao, Li Jing, Hao Yu Liu, Yun Xiao Wang, Hu Fei Chang, Ze Wen Liu, Shi Hao Yu, Lei Wang, Gui Yu Construction of CeRNA regulatory network based on WGCNA reveals diagnosis biomarkers for colorectal cancer |
title | Construction of CeRNA regulatory network based on WGCNA reveals diagnosis biomarkers for colorectal cancer |
title_full | Construction of CeRNA regulatory network based on WGCNA reveals diagnosis biomarkers for colorectal cancer |
title_fullStr | Construction of CeRNA regulatory network based on WGCNA reveals diagnosis biomarkers for colorectal cancer |
title_full_unstemmed | Construction of CeRNA regulatory network based on WGCNA reveals diagnosis biomarkers for colorectal cancer |
title_short | Construction of CeRNA regulatory network based on WGCNA reveals diagnosis biomarkers for colorectal cancer |
title_sort | construction of cerna regulatory network based on wgcna reveals diagnosis biomarkers for colorectal cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482270/ https://www.ncbi.nlm.nih.gov/pubmed/36115953 http://dx.doi.org/10.1186/s12885-022-10054-z |
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