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High-throughput sequencing to identify miRNA biomarkers in colorectal cancer patients

The altered expression of microRNAs (miRNAs) is associated with a number of cancer types. The study of the association between the miRNA profile and cancer may be useful to identify potential biomarkers of certain types of cancer. In the present study, 19 miRNAs were identified by high-throughput se...

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Autores principales: SUN, YAN, WANG, LIN, GUO, SHENG-CHAO, WU, XIAO-BING, XU, XUE-HU
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4081398/
https://www.ncbi.nlm.nih.gov/pubmed/25013489
http://dx.doi.org/10.3892/ol.2014.2215
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author SUN, YAN
WANG, LIN
GUO, SHENG-CHAO
WU, XIAO-BING
XU, XUE-HU
author_facet SUN, YAN
WANG, LIN
GUO, SHENG-CHAO
WU, XIAO-BING
XU, XUE-HU
author_sort SUN, YAN
collection PubMed
description The altered expression of microRNAs (miRNAs) is associated with a number of cancer types. The study of the association between the miRNA profile and cancer may be useful to identify potential biomarkers of certain types of cancer. In the present study, 19 miRNAs were identified by high-throughput sequencing in the serum of colorectal cancer (CRC) patients. A network analysis was performed based on a computational approach to identify associations between CRC and miRNAs. The present study may be useful to identify cancer-specific signatures and potentially useful biomarkers for the diagnosis of CRC. The network analysis of miRNA-target genes may aid in identifying altered miRNA regulatory networks that are involved in tumor pathogenesis.
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spelling pubmed-40813982014-07-10 High-throughput sequencing to identify miRNA biomarkers in colorectal cancer patients SUN, YAN WANG, LIN GUO, SHENG-CHAO WU, XIAO-BING XU, XUE-HU Oncol Lett Articles The altered expression of microRNAs (miRNAs) is associated with a number of cancer types. The study of the association between the miRNA profile and cancer may be useful to identify potential biomarkers of certain types of cancer. In the present study, 19 miRNAs were identified by high-throughput sequencing in the serum of colorectal cancer (CRC) patients. A network analysis was performed based on a computational approach to identify associations between CRC and miRNAs. The present study may be useful to identify cancer-specific signatures and potentially useful biomarkers for the diagnosis of CRC. The network analysis of miRNA-target genes may aid in identifying altered miRNA regulatory networks that are involved in tumor pathogenesis. D.A. Spandidos 2014-08 2014-06-03 /pmc/articles/PMC4081398/ /pubmed/25013489 http://dx.doi.org/10.3892/ol.2014.2215 Text en Copyright © 2014, Spandidos Publications http://creativecommons.org/licenses/by/3.0 This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.
spellingShingle Articles
SUN, YAN
WANG, LIN
GUO, SHENG-CHAO
WU, XIAO-BING
XU, XUE-HU
High-throughput sequencing to identify miRNA biomarkers in colorectal cancer patients
title High-throughput sequencing to identify miRNA biomarkers in colorectal cancer patients
title_full High-throughput sequencing to identify miRNA biomarkers in colorectal cancer patients
title_fullStr High-throughput sequencing to identify miRNA biomarkers in colorectal cancer patients
title_full_unstemmed High-throughput sequencing to identify miRNA biomarkers in colorectal cancer patients
title_short High-throughput sequencing to identify miRNA biomarkers in colorectal cancer patients
title_sort high-throughput sequencing to identify mirna biomarkers in colorectal cancer patients
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4081398/
https://www.ncbi.nlm.nih.gov/pubmed/25013489
http://dx.doi.org/10.3892/ol.2014.2215
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