Construction and Analysis of a ceRNA Network Reveals Potential Prognostic Markers in Colorectal Cancer
Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide and is derived from an accumulation of genetic and epigenetic changes. This study explored potential prognostic markers in CRC via the construction and in-depth analysis of a competing endogenous RNA (ceRNA) netw...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2020-05-01
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Series: | Frontiers in Genetics |
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Online Access: | https://www.frontiersin.org/article/10.3389/fgene.2020.00418/full |
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doaj-57e9004efe4449658941792039686ca1 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Li Guo Guowei Yang Yihao Kang Sunjing Li Rui Duan Lulu Shen Wenwen Jiang Bowen Qian Zibo Yin Tingming Liang Tingming Liang |
spellingShingle |
Li Guo Guowei Yang Yihao Kang Sunjing Li Rui Duan Lulu Shen Wenwen Jiang Bowen Qian Zibo Yin Tingming Liang Tingming Liang Construction and Analysis of a ceRNA Network Reveals Potential Prognostic Markers in Colorectal Cancer Frontiers in Genetics colorectal cancer competing endogenous RNA ceRNA network prognostic marker long noncoding RNA miRNA |
author_facet |
Li Guo Guowei Yang Yihao Kang Sunjing Li Rui Duan Lulu Shen Wenwen Jiang Bowen Qian Zibo Yin Tingming Liang Tingming Liang |
author_sort |
Li Guo |
title |
Construction and Analysis of a ceRNA Network Reveals Potential Prognostic Markers in Colorectal Cancer |
title_short |
Construction and Analysis of a ceRNA Network Reveals Potential Prognostic Markers in Colorectal Cancer |
title_full |
Construction and Analysis of a ceRNA Network Reveals Potential Prognostic Markers in Colorectal Cancer |
title_fullStr |
Construction and Analysis of a ceRNA Network Reveals Potential Prognostic Markers in Colorectal Cancer |
title_full_unstemmed |
Construction and Analysis of a ceRNA Network Reveals Potential Prognostic Markers in Colorectal Cancer |
title_sort |
construction and analysis of a cerna network reveals potential prognostic markers in colorectal cancer |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Genetics |
issn |
1664-8021 |
publishDate |
2020-05-01 |
description |
Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide and is derived from an accumulation of genetic and epigenetic changes. This study explored potential prognostic markers in CRC via the construction and in-depth analysis of a competing endogenous RNA (ceRNA) network, which was generated through a three-step process. First, we screened candidate hub genes in CRC as the primary gene markers to survey their related regulatory non-coding RNAs, miRNAs. Second, the interacting miRNAs were used to search for associated lncRNAs. Thus, candidate RNAs were first constructed into ceRNA networks based on close associations with miRNAs. Further analysis at the isomiR level was also performed for each miRNA locus to understand the detailed expression patterns of the multiple variants. Finally, RNAs were performed an in-depth analysis of expression correlations, which contributed to further screening and validation of potential RNAs with close correlations to each other. Using this approach, nine hub genes, 13 related miRNAs, and 29 candidate lncRNAs were collected and used to construct the ceRNA network. Further in-depth analysis identified the MFAP5-miR-200b-3p-AC005154.6 axis as a potential prognostic marker in CRC. MFAP5 and miR-200b-3p have previously been reported to play important roles in tumorigenesis. These RNAs showed potential prognostic values, and the combination of them may have more sensitivity than using them alone. In conclusion, MFAP5, miR-200b-3p, and AC005154.6 may have potential prognostic value in CRC and may provide a prognostic reference for this patient population. |
topic |
colorectal cancer competing endogenous RNA ceRNA network prognostic marker long noncoding RNA miRNA |
url |
https://www.frontiersin.org/article/10.3389/fgene.2020.00418/full |
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doaj-57e9004efe4449658941792039686ca12020-11-25T02:05:55ZengFrontiers Media S.A.Frontiers in Genetics1664-80212020-05-011110.3389/fgene.2020.00418518577Construction and Analysis of a ceRNA Network Reveals Potential Prognostic Markers in Colorectal CancerLi Guo0Guowei Yang1Yihao Kang2Sunjing Li3Rui Duan4Lulu Shen5Wenwen Jiang6Bowen Qian7Zibo Yin8Tingming Liang9Tingming Liang10Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, ChinaDepartment of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, ChinaDepartment of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, ChinaDepartment of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, ChinaSchool of Life Science, Jiangsu Key Laboratory for Molecular and Medical Biotechnology, Nanjing Normal University, Nanjing, ChinaSchool of Life Science, Jiangsu Key Laboratory for Molecular and Medical Biotechnology, Nanjing Normal University, Nanjing, ChinaDepartment of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, ChinaDepartment of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, ChinaDepartment of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, ChinaSchool of Life Science, Jiangsu Key Laboratory for Molecular and Medical Biotechnology, Nanjing Normal University, Nanjing, ChinaChangzhou Institute of Innovation & Development, Nanjing Normal University, Nanjing, ChinaColorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide and is derived from an accumulation of genetic and epigenetic changes. This study explored potential prognostic markers in CRC via the construction and in-depth analysis of a competing endogenous RNA (ceRNA) network, which was generated through a three-step process. First, we screened candidate hub genes in CRC as the primary gene markers to survey their related regulatory non-coding RNAs, miRNAs. Second, the interacting miRNAs were used to search for associated lncRNAs. Thus, candidate RNAs were first constructed into ceRNA networks based on close associations with miRNAs. Further analysis at the isomiR level was also performed for each miRNA locus to understand the detailed expression patterns of the multiple variants. Finally, RNAs were performed an in-depth analysis of expression correlations, which contributed to further screening and validation of potential RNAs with close correlations to each other. Using this approach, nine hub genes, 13 related miRNAs, and 29 candidate lncRNAs were collected and used to construct the ceRNA network. Further in-depth analysis identified the MFAP5-miR-200b-3p-AC005154.6 axis as a potential prognostic marker in CRC. MFAP5 and miR-200b-3p have previously been reported to play important roles in tumorigenesis. These RNAs showed potential prognostic values, and the combination of them may have more sensitivity than using them alone. In conclusion, MFAP5, miR-200b-3p, and AC005154.6 may have potential prognostic value in CRC and may provide a prognostic reference for this patient population.https://www.frontiersin.org/article/10.3389/fgene.2020.00418/fullcolorectal cancercompeting endogenous RNAceRNA networkprognostic markerlong noncoding RNAmiRNA |