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Seven-CpG-based prognostic signature coupled with gene expression predicts survival of oral squamous cell carcinoma

BACKGROUND: DNA methylation has started a recent revolution in genomics biology by identifying key biomarkers for multiple cancers, including oral squamous cell carcinoma (OSCC), the most common head and neck squamous cell carcinoma. METHODS: A multi-stage screening strategy was used to identify DNA...

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Autores principales: Shen, Sipeng, Wang, Guanrong, Shi, Qianwen, Zhang, Ruyang, Zhao, Yang, Wei, Yongyue, Chen, Feng, Christiani, David C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5571486/
https://www.ncbi.nlm.nih.gov/pubmed/28852427
http://dx.doi.org/10.1186/s13148-017-0392-9
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author Shen, Sipeng
Wang, Guanrong
Shi, Qianwen
Zhang, Ruyang
Zhao, Yang
Wei, Yongyue
Chen, Feng
Christiani, David C.
author_facet Shen, Sipeng
Wang, Guanrong
Shi, Qianwen
Zhang, Ruyang
Zhao, Yang
Wei, Yongyue
Chen, Feng
Christiani, David C.
author_sort Shen, Sipeng
collection PubMed
description BACKGROUND: DNA methylation has started a recent revolution in genomics biology by identifying key biomarkers for multiple cancers, including oral squamous cell carcinoma (OSCC), the most common head and neck squamous cell carcinoma. METHODS: A multi-stage screening strategy was used to identify DNA-methylation-based signatures for OSCC prognosis. We used The Cancer Genome Atlas (TCGA) data as training set which were validated in two independent datasets from Gene Expression Omnibus (GEO). The correlation between DNA methylation and corresponding gene expression and the prognostic value of the gene expression were explored as well. RESULTS: The seven DNA methylation CpG sites were identified which were significantly associated with OSCC overall survival. Prognostic signature, a weighted linear combination of the seven CpG sites, successfully distinguished the overall survival of OSCC patients and had a moderate predictive ability for survival [training set: hazard ratio (HR) = 3.23, P = 5.52 × 10(−10), area under the curve (AUC) = 0.76; validation set 1: HR = 2.79, P = 0.010, AUC = 0.67; validation set 2: HR = 3.69, P = 0.011, AUC = 0.66]. Stratification analysis by human papillomavirus status, clinical stage, age, gender, smoking status, and grade retained statistical significance. Expression of genes corresponding to candidate CpG sites (AJAP1, SHANK2, FOXA2, MT1A, ZNF570, HOXC4, and HOXB4) was also significantly associated with patient’s survival. Signature integrating of DNA methylation, gene expression, and clinical information showed a superior ability for prognostic prediction (AUC = 0.78). CONCLUSION: Prognostic signature integrated of DNA methylation, gene expression, and clinical information provides a better prognostic prediction value for OSCC patients than that with clinical information only. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-017-0392-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-55714862017-08-29 Seven-CpG-based prognostic signature coupled with gene expression predicts survival of oral squamous cell carcinoma Shen, Sipeng Wang, Guanrong Shi, Qianwen Zhang, Ruyang Zhao, Yang Wei, Yongyue Chen, Feng Christiani, David C. Clin Epigenetics Research BACKGROUND: DNA methylation has started a recent revolution in genomics biology by identifying key biomarkers for multiple cancers, including oral squamous cell carcinoma (OSCC), the most common head and neck squamous cell carcinoma. METHODS: A multi-stage screening strategy was used to identify DNA-methylation-based signatures for OSCC prognosis. We used The Cancer Genome Atlas (TCGA) data as training set which were validated in two independent datasets from Gene Expression Omnibus (GEO). The correlation between DNA methylation and corresponding gene expression and the prognostic value of the gene expression were explored as well. RESULTS: The seven DNA methylation CpG sites were identified which were significantly associated with OSCC overall survival. Prognostic signature, a weighted linear combination of the seven CpG sites, successfully distinguished the overall survival of OSCC patients and had a moderate predictive ability for survival [training set: hazard ratio (HR) = 3.23, P = 5.52 × 10(−10), area under the curve (AUC) = 0.76; validation set 1: HR = 2.79, P = 0.010, AUC = 0.67; validation set 2: HR = 3.69, P = 0.011, AUC = 0.66]. Stratification analysis by human papillomavirus status, clinical stage, age, gender, smoking status, and grade retained statistical significance. Expression of genes corresponding to candidate CpG sites (AJAP1, SHANK2, FOXA2, MT1A, ZNF570, HOXC4, and HOXB4) was also significantly associated with patient’s survival. Signature integrating of DNA methylation, gene expression, and clinical information showed a superior ability for prognostic prediction (AUC = 0.78). CONCLUSION: Prognostic signature integrated of DNA methylation, gene expression, and clinical information provides a better prognostic prediction value for OSCC patients than that with clinical information only. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-017-0392-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-24 /pmc/articles/PMC5571486/ /pubmed/28852427 http://dx.doi.org/10.1186/s13148-017-0392-9 Text en © The Author(s). 2017 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
Shen, Sipeng
Wang, Guanrong
Shi, Qianwen
Zhang, Ruyang
Zhao, Yang
Wei, Yongyue
Chen, Feng
Christiani, David C.
Seven-CpG-based prognostic signature coupled with gene expression predicts survival of oral squamous cell carcinoma
title Seven-CpG-based prognostic signature coupled with gene expression predicts survival of oral squamous cell carcinoma
title_full Seven-CpG-based prognostic signature coupled with gene expression predicts survival of oral squamous cell carcinoma
title_fullStr Seven-CpG-based prognostic signature coupled with gene expression predicts survival of oral squamous cell carcinoma
title_full_unstemmed Seven-CpG-based prognostic signature coupled with gene expression predicts survival of oral squamous cell carcinoma
title_short Seven-CpG-based prognostic signature coupled with gene expression predicts survival of oral squamous cell carcinoma
title_sort seven-cpg-based prognostic signature coupled with gene expression predicts survival of oral squamous cell carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5571486/
https://www.ncbi.nlm.nih.gov/pubmed/28852427
http://dx.doi.org/10.1186/s13148-017-0392-9
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