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Methylated genomic loci encoding microRNA as a biomarker panel in tissue and saliva for head and neck squamous cell carcinoma
BACKGROUND: To identify aberrant promoter methylation of genomic loci encoding microRNA (mgmiR) in head and neck squamous cell carcinoma (HNSCC) and to evaluate a biomarker panel of mgmiRs to improve the diagnostic accuracy of HNSCC in tissues and saliva. METHODS: Methylation of promoter regions of...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5883341/ https://www.ncbi.nlm.nih.gov/pubmed/29636832 http://dx.doi.org/10.1186/s13148-018-0470-7 |
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author | Cao, Yu Green, Katherine Quattlebaum, Steve Milam, Ben Lu, Ling Gao, Dexiang He, Hui Li, Ningning Gao, Liwei Hall, Francis Whinery, Matthew Handley, Elyse Ma, Yi Xu, Tao Jin, Feng Xiao, Jing Wei, Minjie Smith, Derek Bornstein, Sophia Gross, Neil Pyeon, Dohun Song, John Lu, Shi-Long |
author_facet | Cao, Yu Green, Katherine Quattlebaum, Steve Milam, Ben Lu, Ling Gao, Dexiang He, Hui Li, Ningning Gao, Liwei Hall, Francis Whinery, Matthew Handley, Elyse Ma, Yi Xu, Tao Jin, Feng Xiao, Jing Wei, Minjie Smith, Derek Bornstein, Sophia Gross, Neil Pyeon, Dohun Song, John Lu, Shi-Long |
author_sort | Cao, Yu |
collection | PubMed |
description | BACKGROUND: To identify aberrant promoter methylation of genomic loci encoding microRNA (mgmiR) in head and neck squamous cell carcinoma (HNSCC) and to evaluate a biomarker panel of mgmiRs to improve the diagnostic accuracy of HNSCC in tissues and saliva. METHODS: Methylation of promoter regions of mgmiR candidates was initially screened using HNSCC and control cell lines and further selected using HNSCC and control tissues by quantitative methylation-specific PCR (qMS-PCR). We then examined a panel of seven mgmiRs for validation in an expanded cohort including 189 HNSCC and 92 non-HNSCC controls. Saliva from 86 pre-treatment HNSCC patients and 108 non-HNSCC controls was also examined using this panel of seven mgmiRs to assess the potentials of clinical utilization. RESULTS: Among the 315 screened mgmiRs, 12 mgmiRs were significantly increased in HNSCC cell lines compared to control cell lines. Seven out of the 12 mgmiRs, i.e., mgmiR9-1, mgmiR124-1, mgmiR124-2, mgmiR124-3, mgmiR129-2, mgmiR137, and mgmiR148a, were further found to significantly increase in HNSCC tumor tissues compared to control tissues. Using multivariable logistic regression with dichotomized variables, a combination of the seven mgmiRs had sensitivity and specificity of 92.6 and 92.4% in tissues and 76.7 and 86.1% in saliva, respectively. Area under the receiver operating curve for this panel was 0.97 in tissue and 0.93 in saliva. This model was validated by independent bootstrap validation and random forest analysis. CONCLUSIONS: mgmiR biomarkers represent a novel and promising screening tool, and the seven-mgmiR panel is able to robustly detect HNSCC in both patient tissue and saliva. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-018-0470-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5883341 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58833412018-04-10 Methylated genomic loci encoding microRNA as a biomarker panel in tissue and saliva for head and neck squamous cell carcinoma Cao, Yu Green, Katherine Quattlebaum, Steve Milam, Ben Lu, Ling Gao, Dexiang He, Hui Li, Ningning Gao, Liwei Hall, Francis Whinery, Matthew Handley, Elyse Ma, Yi Xu, Tao Jin, Feng Xiao, Jing Wei, Minjie Smith, Derek Bornstein, Sophia Gross, Neil Pyeon, Dohun Song, John Lu, Shi-Long Clin Epigenetics Research BACKGROUND: To identify aberrant promoter methylation of genomic loci encoding microRNA (mgmiR) in head and neck squamous cell carcinoma (HNSCC) and to evaluate a biomarker panel of mgmiRs to improve the diagnostic accuracy of HNSCC in tissues and saliva. METHODS: Methylation of promoter regions of mgmiR candidates was initially screened using HNSCC and control cell lines and further selected using HNSCC and control tissues by quantitative methylation-specific PCR (qMS-PCR). We then examined a panel of seven mgmiRs for validation in an expanded cohort including 189 HNSCC and 92 non-HNSCC controls. Saliva from 86 pre-treatment HNSCC patients and 108 non-HNSCC controls was also examined using this panel of seven mgmiRs to assess the potentials of clinical utilization. RESULTS: Among the 315 screened mgmiRs, 12 mgmiRs were significantly increased in HNSCC cell lines compared to control cell lines. Seven out of the 12 mgmiRs, i.e., mgmiR9-1, mgmiR124-1, mgmiR124-2, mgmiR124-3, mgmiR129-2, mgmiR137, and mgmiR148a, were further found to significantly increase in HNSCC tumor tissues compared to control tissues. Using multivariable logistic regression with dichotomized variables, a combination of the seven mgmiRs had sensitivity and specificity of 92.6 and 92.4% in tissues and 76.7 and 86.1% in saliva, respectively. Area under the receiver operating curve for this panel was 0.97 in tissue and 0.93 in saliva. This model was validated by independent bootstrap validation and random forest analysis. CONCLUSIONS: mgmiR biomarkers represent a novel and promising screening tool, and the seven-mgmiR panel is able to robustly detect HNSCC in both patient tissue and saliva. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13148-018-0470-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-03 /pmc/articles/PMC5883341/ /pubmed/29636832 http://dx.doi.org/10.1186/s13148-018-0470-7 Text en © The Author(s). 2018 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 Cao, Yu Green, Katherine Quattlebaum, Steve Milam, Ben Lu, Ling Gao, Dexiang He, Hui Li, Ningning Gao, Liwei Hall, Francis Whinery, Matthew Handley, Elyse Ma, Yi Xu, Tao Jin, Feng Xiao, Jing Wei, Minjie Smith, Derek Bornstein, Sophia Gross, Neil Pyeon, Dohun Song, John Lu, Shi-Long Methylated genomic loci encoding microRNA as a biomarker panel in tissue and saliva for head and neck squamous cell carcinoma |
title | Methylated genomic loci encoding microRNA as a biomarker panel in tissue and saliva for head and neck squamous cell carcinoma |
title_full | Methylated genomic loci encoding microRNA as a biomarker panel in tissue and saliva for head and neck squamous cell carcinoma |
title_fullStr | Methylated genomic loci encoding microRNA as a biomarker panel in tissue and saliva for head and neck squamous cell carcinoma |
title_full_unstemmed | Methylated genomic loci encoding microRNA as a biomarker panel in tissue and saliva for head and neck squamous cell carcinoma |
title_short | Methylated genomic loci encoding microRNA as a biomarker panel in tissue and saliva for head and neck squamous cell carcinoma |
title_sort | methylated genomic loci encoding microrna as a biomarker panel in tissue and saliva for head and neck squamous cell carcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5883341/ https://www.ncbi.nlm.nih.gov/pubmed/29636832 http://dx.doi.org/10.1186/s13148-018-0470-7 |
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