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...

Full description

Bibliographic Details
Main Authors: Li Guo, Guowei Yang, Yihao Kang, Sunjing Li, Rui Duan, Lulu Shen, Wenwen Jiang, Bowen Qian, Zibo Yin, Tingming Liang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-05-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00418/full
id doaj-57e9004efe4449658941792039686ca1
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
work_keys_str_mv AT liguo constructionandanalysisofacernanetworkrevealspotentialprognosticmarkersincolorectalcancer
AT guoweiyang constructionandanalysisofacernanetworkrevealspotentialprognosticmarkersincolorectalcancer
AT yihaokang constructionandanalysisofacernanetworkrevealspotentialprognosticmarkersincolorectalcancer
AT sunjingli constructionandanalysisofacernanetworkrevealspotentialprognosticmarkersincolorectalcancer
AT ruiduan constructionandanalysisofacernanetworkrevealspotentialprognosticmarkersincolorectalcancer
AT lulushen constructionandanalysisofacernanetworkrevealspotentialprognosticmarkersincolorectalcancer
AT wenwenjiang constructionandanalysisofacernanetworkrevealspotentialprognosticmarkersincolorectalcancer
AT bowenqian constructionandanalysisofacernanetworkrevealspotentialprognosticmarkersincolorectalcancer
AT ziboyin constructionandanalysisofacernanetworkrevealspotentialprognosticmarkersincolorectalcancer
AT tingmingliang constructionandanalysisofacernanetworkrevealspotentialprognosticmarkersincolorectalcancer
AT tingmingliang constructionandanalysisofacernanetworkrevealspotentialprognosticmarkersincolorectalcancer
_version_ 1724936159125045248
spelling 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