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CircRNA hsa_circ_0004585 as a potential biomarker for colorectal cancer

Objective: Circular RNAs (circRNAs) are involved in regulating of carcinogenesis of various cancer cells. However, the function of circRNAs in colorectal cancer (CRC) has remained largely unknown. This study investigated the characteristic expression of circRNAs in CRC and adjacent normal tissues, a...

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Autores principales: Tian, Jinhai, Xi, Xianghong, Wang, Jia, Yu, Jingjing, Huang, Qi, Ma, Rong, Zhang, Xu, Li, Hai, Wang, Libin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6573007/
https://www.ncbi.nlm.nih.gov/pubmed/31354349
http://dx.doi.org/10.2147/CMAR.S199436
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author Tian, Jinhai
Xi, Xianghong
Wang, Jia
Yu, Jingjing
Huang, Qi
Ma, Rong
Zhang, Xu
Li, Hai
Wang, Libin
author_facet Tian, Jinhai
Xi, Xianghong
Wang, Jia
Yu, Jingjing
Huang, Qi
Ma, Rong
Zhang, Xu
Li, Hai
Wang, Libin
author_sort Tian, Jinhai
collection PubMed
description Objective: Circular RNAs (circRNAs) are involved in regulating of carcinogenesis of various cancer cells. However, the function of circRNAs in colorectal cancer (CRC) has remained largely unknown. This study investigated the characteristic expression of circRNAs in CRC and adjacent normal tissues, analyzed the miRNAs related to candidate circRNAs, and studied the correlation between circRNAs with clinical data of CRC. Methods: Human CircRNA microarray has been applied to screen the expressions of circRNAs of the CRC tissues and adjacent normal tissues. Quantitative real-time polymerase chain reaction (qRT-PCR) verified the candidate circRNAs in CRC tissue and patients’ peripheral blood. The circRNA array data were analyzed by GeneSpring 13.0 (Agilent) software. The diseases, pathways and functional enrichment analysis of these genes were performed using the KEGG system. In addition, the circRNA-miRNA network was constructed based on the miRanda-3.3 software. Statistical analysis was performed with SPSS23.0, GraphPad Prism, and Sigmaplot software. Results: In total, 13,198 circRNAs were identified as distinct between CRC and adjacent normal tissues, including 6,697 upregulated and 6,501 downregulated genes. Based on scores, six of them were selected for further verification in CRC tissues and peripheral blood. The hsa_circ_0004585 expression was significantly upregulated both in CRC patients tissue and peripheral blood. Hsa_circ_0004585 was positively correlated with patient’s tumor size, indicating the function of hsa_circ_0004585 in CRC carcinogenesis and metastasis. Conclusion: Hsa_circ_0004585 could be a potential biomarker for diagnosis of CRC.
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spelling pubmed-65730072019-07-26 CircRNA hsa_circ_0004585 as a potential biomarker for colorectal cancer Tian, Jinhai Xi, Xianghong Wang, Jia Yu, Jingjing Huang, Qi Ma, Rong Zhang, Xu Li, Hai Wang, Libin Cancer Manag Res Original Research Objective: Circular RNAs (circRNAs) are involved in regulating of carcinogenesis of various cancer cells. However, the function of circRNAs in colorectal cancer (CRC) has remained largely unknown. This study investigated the characteristic expression of circRNAs in CRC and adjacent normal tissues, analyzed the miRNAs related to candidate circRNAs, and studied the correlation between circRNAs with clinical data of CRC. Methods: Human CircRNA microarray has been applied to screen the expressions of circRNAs of the CRC tissues and adjacent normal tissues. Quantitative real-time polymerase chain reaction (qRT-PCR) verified the candidate circRNAs in CRC tissue and patients’ peripheral blood. The circRNA array data were analyzed by GeneSpring 13.0 (Agilent) software. The diseases, pathways and functional enrichment analysis of these genes were performed using the KEGG system. In addition, the circRNA-miRNA network was constructed based on the miRanda-3.3 software. Statistical analysis was performed with SPSS23.0, GraphPad Prism, and Sigmaplot software. Results: In total, 13,198 circRNAs were identified as distinct between CRC and adjacent normal tissues, including 6,697 upregulated and 6,501 downregulated genes. Based on scores, six of them were selected for further verification in CRC tissues and peripheral blood. The hsa_circ_0004585 expression was significantly upregulated both in CRC patients tissue and peripheral blood. Hsa_circ_0004585 was positively correlated with patient’s tumor size, indicating the function of hsa_circ_0004585 in CRC carcinogenesis and metastasis. Conclusion: Hsa_circ_0004585 could be a potential biomarker for diagnosis of CRC. Dove 2019-06-11 /pmc/articles/PMC6573007/ /pubmed/31354349 http://dx.doi.org/10.2147/CMAR.S199436 Text en © 2019 Tian et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Tian, Jinhai
Xi, Xianghong
Wang, Jia
Yu, Jingjing
Huang, Qi
Ma, Rong
Zhang, Xu
Li, Hai
Wang, Libin
CircRNA hsa_circ_0004585 as a potential biomarker for colorectal cancer
title CircRNA hsa_circ_0004585 as a potential biomarker for colorectal cancer
title_full CircRNA hsa_circ_0004585 as a potential biomarker for colorectal cancer
title_fullStr CircRNA hsa_circ_0004585 as a potential biomarker for colorectal cancer
title_full_unstemmed CircRNA hsa_circ_0004585 as a potential biomarker for colorectal cancer
title_short CircRNA hsa_circ_0004585 as a potential biomarker for colorectal cancer
title_sort circrna hsa_circ_0004585 as a potential biomarker for colorectal cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6573007/
https://www.ncbi.nlm.nih.gov/pubmed/31354349
http://dx.doi.org/10.2147/CMAR.S199436
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