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A Serum MicroRNA Panel as Potential Biomarkers for Hepatocellular Carcinoma Related with Hepatitis B Virus

BACKGROUND: The identification of new high-sensitivity and high-specificity markers for HCC are essential. We aimed to identify serum microRNAs (miRNAs) as biomarkers to be used in diagnosing hepatitis B virus (HBV) –related hepatocellular carcinoma (HCC). METHODS: We investigated serum miRNA expres...

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Autores principales: Tan, Youwen, Ge, Guohong, Pan, Tengli, Wen, Danfeng, Chen, Li, Yu, Xuejun, Zhou, Xinbei, Gan, Jianhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169601/
https://www.ncbi.nlm.nih.gov/pubmed/25238238
http://dx.doi.org/10.1371/journal.pone.0107986
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author Tan, Youwen
Ge, Guohong
Pan, Tengli
Wen, Danfeng
Chen, Li
Yu, Xuejun
Zhou, Xinbei
Gan, Jianhe
author_facet Tan, Youwen
Ge, Guohong
Pan, Tengli
Wen, Danfeng
Chen, Li
Yu, Xuejun
Zhou, Xinbei
Gan, Jianhe
author_sort Tan, Youwen
collection PubMed
description BACKGROUND: The identification of new high-sensitivity and high-specificity markers for HCC are essential. We aimed to identify serum microRNAs (miRNAs) as biomarkers to be used in diagnosing hepatitis B virus (HBV) –related hepatocellular carcinoma (HCC). METHODS: We investigated serum miRNA expression in (261 HCC patients, 233 cirrhosis patients, and 173 healthy controls), recruited between August 2010 and June 2013. An initial screening of miRNA expression by Illumina sequencing was performed using serum samples pooled from HCC patients and controls. Quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR) was used to evaluate the expression of selected miRNAs. A logistic regression model was constructed using a training cohort (n = 357) and then validated using an independent cohort (n = 241). The area under the receiver operating characteristic curve (AUC) was used to evaluate the accuracy of the use of the biomarkers for disease diagnosis. RESULTS: We identified 8 miRNAs (hsa-miR-206, hsa-miR-141-3p, hsa-miR-433-3p, hsa-miR-1228-5p, hsa-miR-199a-5p, hsa-miR-122-5p, hsa-miR-192-5p, and hsa-miR-26a-5p) and constructed an miRNA set that provided high diagnostic accuracy for HCC (AUC = 0.887 and 0.879 for training and validation sets, respectively). The miRNAs could also be used to differentiate HCC patients from healthy (AUC = 0.893) and cirrhosis (AUC = 0.892) patients. CONCLUSIONS: We identified a serum of miRNA panel that has considerable clinical value in HCC diagnosis.
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spelling pubmed-41696012014-09-22 A Serum MicroRNA Panel as Potential Biomarkers for Hepatocellular Carcinoma Related with Hepatitis B Virus Tan, Youwen Ge, Guohong Pan, Tengli Wen, Danfeng Chen, Li Yu, Xuejun Zhou, Xinbei Gan, Jianhe PLoS One Research Article BACKGROUND: The identification of new high-sensitivity and high-specificity markers for HCC are essential. We aimed to identify serum microRNAs (miRNAs) as biomarkers to be used in diagnosing hepatitis B virus (HBV) –related hepatocellular carcinoma (HCC). METHODS: We investigated serum miRNA expression in (261 HCC patients, 233 cirrhosis patients, and 173 healthy controls), recruited between August 2010 and June 2013. An initial screening of miRNA expression by Illumina sequencing was performed using serum samples pooled from HCC patients and controls. Quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR) was used to evaluate the expression of selected miRNAs. A logistic regression model was constructed using a training cohort (n = 357) and then validated using an independent cohort (n = 241). The area under the receiver operating characteristic curve (AUC) was used to evaluate the accuracy of the use of the biomarkers for disease diagnosis. RESULTS: We identified 8 miRNAs (hsa-miR-206, hsa-miR-141-3p, hsa-miR-433-3p, hsa-miR-1228-5p, hsa-miR-199a-5p, hsa-miR-122-5p, hsa-miR-192-5p, and hsa-miR-26a-5p) and constructed an miRNA set that provided high diagnostic accuracy for HCC (AUC = 0.887 and 0.879 for training and validation sets, respectively). The miRNAs could also be used to differentiate HCC patients from healthy (AUC = 0.893) and cirrhosis (AUC = 0.892) patients. CONCLUSIONS: We identified a serum of miRNA panel that has considerable clinical value in HCC diagnosis. Public Library of Science 2014-09-19 /pmc/articles/PMC4169601/ /pubmed/25238238 http://dx.doi.org/10.1371/journal.pone.0107986 Text en © 2014 Tan et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Tan, Youwen
Ge, Guohong
Pan, Tengli
Wen, Danfeng
Chen, Li
Yu, Xuejun
Zhou, Xinbei
Gan, Jianhe
A Serum MicroRNA Panel as Potential Biomarkers for Hepatocellular Carcinoma Related with Hepatitis B Virus
title A Serum MicroRNA Panel as Potential Biomarkers for Hepatocellular Carcinoma Related with Hepatitis B Virus
title_full A Serum MicroRNA Panel as Potential Biomarkers for Hepatocellular Carcinoma Related with Hepatitis B Virus
title_fullStr A Serum MicroRNA Panel as Potential Biomarkers for Hepatocellular Carcinoma Related with Hepatitis B Virus
title_full_unstemmed A Serum MicroRNA Panel as Potential Biomarkers for Hepatocellular Carcinoma Related with Hepatitis B Virus
title_short A Serum MicroRNA Panel as Potential Biomarkers for Hepatocellular Carcinoma Related with Hepatitis B Virus
title_sort serum microrna panel as potential biomarkers for hepatocellular carcinoma related with hepatitis b virus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169601/
https://www.ncbi.nlm.nih.gov/pubmed/25238238
http://dx.doi.org/10.1371/journal.pone.0107986
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