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Identification of potential biomarkers for diagnosis of pancreatic and biliary tract cancers by sequencing of serum microRNAs

BACKGROUND: Pancreatic and biliary tract cancer (PC and BTC, respectively) are difficult to diagnose because of their clinical characteristics; however, recent studies suggest that serum microRNAs (miRNAs) might be the key to developing more efficient diagnostic methods for these cancers. METHODS: W...

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Autores principales: Kim, Kwondo, Yoo, DongAhn, Lee, Hee Seung, Lee, Kyong Joo, Park, Soo Been, Kim, Chanyang, Jo, Jung Hyun, Jung, Dawoon E., Song, Si Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6524273/
https://www.ncbi.nlm.nih.gov/pubmed/31096984
http://dx.doi.org/10.1186/s12920-019-0521-8
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author Kim, Kwondo
Yoo, DongAhn
Lee, Hee Seung
Lee, Kyong Joo
Park, Soo Been
Kim, Chanyang
Jo, Jung Hyun
Jung, Dawoon E.
Song, Si Young
author_facet Kim, Kwondo
Yoo, DongAhn
Lee, Hee Seung
Lee, Kyong Joo
Park, Soo Been
Kim, Chanyang
Jo, Jung Hyun
Jung, Dawoon E.
Song, Si Young
author_sort Kim, Kwondo
collection PubMed
description BACKGROUND: Pancreatic and biliary tract cancer (PC and BTC, respectively) are difficult to diagnose because of their clinical characteristics; however, recent studies suggest that serum microRNAs (miRNAs) might be the key to developing more efficient diagnostic methods for these cancers. METHODS: We analysed the genome-wide expression of serum miRNAs in PC and BTC patients to identify novel biomarker candidates using high-throughput sequencing and experimentally validated miRNAs on clinical samples. RESULTS: Statistical and classification analysis of the serum miRNA-expression profiles of 55 patient samples showed distinguishable patterns between cancer patients and healthy controls; however, we were unable to distinguish the two cancers. We found that three of the highest performing miRNAs were capable of distinguishing cancer patients from controls, with an accuracy of 92.7%. Additionally, dysregulation of these three cancer-specific miRNAs was demonstrated in an independent sample group by quantitative reverse transcription polymerase chain reaction. CONCLUSIONS: These results suggested three candidate serum miRNAs (mir-744-5p, mir-409-3p, and mir-128-3p) as potential biomarkers for PC and BTC diagnosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-019-0521-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-65242732019-05-24 Identification of potential biomarkers for diagnosis of pancreatic and biliary tract cancers by sequencing of serum microRNAs Kim, Kwondo Yoo, DongAhn Lee, Hee Seung Lee, Kyong Joo Park, Soo Been Kim, Chanyang Jo, Jung Hyun Jung, Dawoon E. Song, Si Young BMC Med Genomics Research Article BACKGROUND: Pancreatic and biliary tract cancer (PC and BTC, respectively) are difficult to diagnose because of their clinical characteristics; however, recent studies suggest that serum microRNAs (miRNAs) might be the key to developing more efficient diagnostic methods for these cancers. METHODS: We analysed the genome-wide expression of serum miRNAs in PC and BTC patients to identify novel biomarker candidates using high-throughput sequencing and experimentally validated miRNAs on clinical samples. RESULTS: Statistical and classification analysis of the serum miRNA-expression profiles of 55 patient samples showed distinguishable patterns between cancer patients and healthy controls; however, we were unable to distinguish the two cancers. We found that three of the highest performing miRNAs were capable of distinguishing cancer patients from controls, with an accuracy of 92.7%. Additionally, dysregulation of these three cancer-specific miRNAs was demonstrated in an independent sample group by quantitative reverse transcription polymerase chain reaction. CONCLUSIONS: These results suggested three candidate serum miRNAs (mir-744-5p, mir-409-3p, and mir-128-3p) as potential biomarkers for PC and BTC diagnosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-019-0521-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-16 /pmc/articles/PMC6524273/ /pubmed/31096984 http://dx.doi.org/10.1186/s12920-019-0521-8 Text en © The Author(s). 2019 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 Article
Kim, Kwondo
Yoo, DongAhn
Lee, Hee Seung
Lee, Kyong Joo
Park, Soo Been
Kim, Chanyang
Jo, Jung Hyun
Jung, Dawoon E.
Song, Si Young
Identification of potential biomarkers for diagnosis of pancreatic and biliary tract cancers by sequencing of serum microRNAs
title Identification of potential biomarkers for diagnosis of pancreatic and biliary tract cancers by sequencing of serum microRNAs
title_full Identification of potential biomarkers for diagnosis of pancreatic and biliary tract cancers by sequencing of serum microRNAs
title_fullStr Identification of potential biomarkers for diagnosis of pancreatic and biliary tract cancers by sequencing of serum microRNAs
title_full_unstemmed Identification of potential biomarkers for diagnosis of pancreatic and biliary tract cancers by sequencing of serum microRNAs
title_short Identification of potential biomarkers for diagnosis of pancreatic and biliary tract cancers by sequencing of serum microRNAs
title_sort identification of potential biomarkers for diagnosis of pancreatic and biliary tract cancers by sequencing of serum micrornas
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6524273/
https://www.ncbi.nlm.nih.gov/pubmed/31096984
http://dx.doi.org/10.1186/s12920-019-0521-8
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