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Profiling and bioinformatics analyses reveal differential circular RNA expression in radioresistant esophageal cancer cells

BACKGROUND: Acquired radioresistance during radiotherapy is considered as the most important reason for local tumor recurrence or treatment failure. Circular RNAs (circRNAs) have recently been identified as microRNA sponges and involve in various biological processes. The purpose of this study is to...

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Autores principales: Su, Huafang, Lin, Fuqiang, Deng, Xia, Shen, Lanxiao, Fang, Ya, Fei, Zhenghua, Zhao, Lihao, Zhang, Xuebang, Pan, Huanle, Xie, Deyao, Jin, Xiance, Xie, Congying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4964270/
https://www.ncbi.nlm.nih.gov/pubmed/27465405
http://dx.doi.org/10.1186/s12967-016-0977-7
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author Su, Huafang
Lin, Fuqiang
Deng, Xia
Shen, Lanxiao
Fang, Ya
Fei, Zhenghua
Zhao, Lihao
Zhang, Xuebang
Pan, Huanle
Xie, Deyao
Jin, Xiance
Xie, Congying
author_facet Su, Huafang
Lin, Fuqiang
Deng, Xia
Shen, Lanxiao
Fang, Ya
Fei, Zhenghua
Zhao, Lihao
Zhang, Xuebang
Pan, Huanle
Xie, Deyao
Jin, Xiance
Xie, Congying
author_sort Su, Huafang
collection PubMed
description BACKGROUND: Acquired radioresistance during radiotherapy is considered as the most important reason for local tumor recurrence or treatment failure. Circular RNAs (circRNAs) have recently been identified as microRNA sponges and involve in various biological processes. The purpose of this study is to investigate the role of circRNAs in the radioresistance of esophageal cancer. METHODS: Total RNA was isolated from human parental cell line KYSE-150 and self-established radioresistant esophageal cancer cell line KYSE-150R, and hybridized to Arraystar Human circRNA Array. Quantitative real-time PCR was used to confirm the circRNA expression profiles obtained from the microarray data. Bioinformatic tools including gene ontology (GO) analysis, KEGG pathway analysis and network analysis were done for further assessment. RESULTS: Among the detected candidate 3752 circRNA genes, significant upregulation of 57 circRNAs and downregulation of 17 circRNAs in human radioresistant esophageal cancer cell line KYSE-150R were observed compared with the parental cell line KYSE-150 (fold change ≥2.0 and P < 0.05). There were 9 out of these candidate circRNAs were validated by real-time PCR. GO analysis revealed that numerous target genes, including most microRNAs were involved in the biological processes. There were more than 400 target genes enrichment on Wnt signaling pathway. CircRNA_001059 and circRNA_000167 were the two largest nodes in circRNA/microRNA co-expression network. CONCLUSIONS: Our study revealed a comprehensive expression and functional profile of differentially expressed circRNAs in radioresistant esophageal cancer cells, indicating possible involvement of these dysregulated circRNAs in the development of radiation resistance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-016-0977-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-49642702016-07-29 Profiling and bioinformatics analyses reveal differential circular RNA expression in radioresistant esophageal cancer cells Su, Huafang Lin, Fuqiang Deng, Xia Shen, Lanxiao Fang, Ya Fei, Zhenghua Zhao, Lihao Zhang, Xuebang Pan, Huanle Xie, Deyao Jin, Xiance Xie, Congying J Transl Med Research BACKGROUND: Acquired radioresistance during radiotherapy is considered as the most important reason for local tumor recurrence or treatment failure. Circular RNAs (circRNAs) have recently been identified as microRNA sponges and involve in various biological processes. The purpose of this study is to investigate the role of circRNAs in the radioresistance of esophageal cancer. METHODS: Total RNA was isolated from human parental cell line KYSE-150 and self-established radioresistant esophageal cancer cell line KYSE-150R, and hybridized to Arraystar Human circRNA Array. Quantitative real-time PCR was used to confirm the circRNA expression profiles obtained from the microarray data. Bioinformatic tools including gene ontology (GO) analysis, KEGG pathway analysis and network analysis were done for further assessment. RESULTS: Among the detected candidate 3752 circRNA genes, significant upregulation of 57 circRNAs and downregulation of 17 circRNAs in human radioresistant esophageal cancer cell line KYSE-150R were observed compared with the parental cell line KYSE-150 (fold change ≥2.0 and P < 0.05). There were 9 out of these candidate circRNAs were validated by real-time PCR. GO analysis revealed that numerous target genes, including most microRNAs were involved in the biological processes. There were more than 400 target genes enrichment on Wnt signaling pathway. CircRNA_001059 and circRNA_000167 were the two largest nodes in circRNA/microRNA co-expression network. CONCLUSIONS: Our study revealed a comprehensive expression and functional profile of differentially expressed circRNAs in radioresistant esophageal cancer cells, indicating possible involvement of these dysregulated circRNAs in the development of radiation resistance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-016-0977-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-07-28 /pmc/articles/PMC4964270/ /pubmed/27465405 http://dx.doi.org/10.1186/s12967-016-0977-7 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Su, Huafang
Lin, Fuqiang
Deng, Xia
Shen, Lanxiao
Fang, Ya
Fei, Zhenghua
Zhao, Lihao
Zhang, Xuebang
Pan, Huanle
Xie, Deyao
Jin, Xiance
Xie, Congying
Profiling and bioinformatics analyses reveal differential circular RNA expression in radioresistant esophageal cancer cells
title Profiling and bioinformatics analyses reveal differential circular RNA expression in radioresistant esophageal cancer cells
title_full Profiling and bioinformatics analyses reveal differential circular RNA expression in radioresistant esophageal cancer cells
title_fullStr Profiling and bioinformatics analyses reveal differential circular RNA expression in radioresistant esophageal cancer cells
title_full_unstemmed Profiling and bioinformatics analyses reveal differential circular RNA expression in radioresistant esophageal cancer cells
title_short Profiling and bioinformatics analyses reveal differential circular RNA expression in radioresistant esophageal cancer cells
title_sort profiling and bioinformatics analyses reveal differential circular rna expression in radioresistant esophageal cancer cells
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4964270/
https://www.ncbi.nlm.nih.gov/pubmed/27465405
http://dx.doi.org/10.1186/s12967-016-0977-7
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