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A Novel Molecular Signature Identified by Systems Genetics Approach Predicts Prognosis in Oral Squamous Cell Carcinoma
Molecular methods for predicting prognosis in patients with oral cavity squamous cell carcinoma (OSCC) are urgently needed, considering its high recurrence rate and tendency for metastasis. The present study investigated the genetic basis of variations in gene expression associated with poor prognos...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3154947/ https://www.ncbi.nlm.nih.gov/pubmed/21853135 http://dx.doi.org/10.1371/journal.pone.0023452 |
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author | Peng, Chien-Hua Liao, Chun-Ta Peng, Shih-Chi Chen, Yin-Ju Cheng, Ann-Joy Juang, Jyh-Lyh Tsai, Chi-Ying Chen, Tse-Ching Chuang, Yung-Jen Tang, Chuan-Yi Hsieh, Wen-Ping Yen, Tzu-Chen |
author_facet | Peng, Chien-Hua Liao, Chun-Ta Peng, Shih-Chi Chen, Yin-Ju Cheng, Ann-Joy Juang, Jyh-Lyh Tsai, Chi-Ying Chen, Tse-Ching Chuang, Yung-Jen Tang, Chuan-Yi Hsieh, Wen-Ping Yen, Tzu-Chen |
author_sort | Peng, Chien-Hua |
collection | PubMed |
description | Molecular methods for predicting prognosis in patients with oral cavity squamous cell carcinoma (OSCC) are urgently needed, considering its high recurrence rate and tendency for metastasis. The present study investigated the genetic basis of variations in gene expression associated with poor prognosis in OSCC using Affymetrix SNP 6.0 and Affymetrix GeneChip Human Gene 1.0 ST arrays. We identified recurrent DNA amplifications scattered from 8q22.2 to 8q24.3 in 112 OSCC specimens. These amplicons demonstrated significant associations with increased incidence of extracapsular spread, development of second primary malignancies, and poor survival. Fluorescence in situ hybridization, in a validation panel consisting of 295 cases, confirmed these associations. Assessment of the effects of copy number variations (CNVs) on genome-wide variations in gene expression identified a total of 85 CNV-associated transcripts enriched in the MYC-centered regulatory network. Twenty-four transcripts associated with increased risk of second primary malignancies, tumor relapse, and poor survival. Besides MYC itself, a novel dysregulated MYC module plays a key role in OSCC carcinogenesis. This study identified a candidate molecular signature associated with poor prognosis in OSCC patients, which may ultimately facilitate patient-tailored selection of therapeutic strategies. |
format | Online Article Text |
id | pubmed-3154947 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-31549472011-08-18 A Novel Molecular Signature Identified by Systems Genetics Approach Predicts Prognosis in Oral Squamous Cell Carcinoma Peng, Chien-Hua Liao, Chun-Ta Peng, Shih-Chi Chen, Yin-Ju Cheng, Ann-Joy Juang, Jyh-Lyh Tsai, Chi-Ying Chen, Tse-Ching Chuang, Yung-Jen Tang, Chuan-Yi Hsieh, Wen-Ping Yen, Tzu-Chen PLoS One Research Article Molecular methods for predicting prognosis in patients with oral cavity squamous cell carcinoma (OSCC) are urgently needed, considering its high recurrence rate and tendency for metastasis. The present study investigated the genetic basis of variations in gene expression associated with poor prognosis in OSCC using Affymetrix SNP 6.0 and Affymetrix GeneChip Human Gene 1.0 ST arrays. We identified recurrent DNA amplifications scattered from 8q22.2 to 8q24.3 in 112 OSCC specimens. These amplicons demonstrated significant associations with increased incidence of extracapsular spread, development of second primary malignancies, and poor survival. Fluorescence in situ hybridization, in a validation panel consisting of 295 cases, confirmed these associations. Assessment of the effects of copy number variations (CNVs) on genome-wide variations in gene expression identified a total of 85 CNV-associated transcripts enriched in the MYC-centered regulatory network. Twenty-four transcripts associated with increased risk of second primary malignancies, tumor relapse, and poor survival. Besides MYC itself, a novel dysregulated MYC module plays a key role in OSCC carcinogenesis. This study identified a candidate molecular signature associated with poor prognosis in OSCC patients, which may ultimately facilitate patient-tailored selection of therapeutic strategies. Public Library of Science 2011-08-11 /pmc/articles/PMC3154947/ /pubmed/21853135 http://dx.doi.org/10.1371/journal.pone.0023452 Text en Peng 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 Peng, Chien-Hua Liao, Chun-Ta Peng, Shih-Chi Chen, Yin-Ju Cheng, Ann-Joy Juang, Jyh-Lyh Tsai, Chi-Ying Chen, Tse-Ching Chuang, Yung-Jen Tang, Chuan-Yi Hsieh, Wen-Ping Yen, Tzu-Chen A Novel Molecular Signature Identified by Systems Genetics Approach Predicts Prognosis in Oral Squamous Cell Carcinoma |
title | A Novel Molecular Signature Identified by Systems Genetics Approach Predicts Prognosis in Oral Squamous Cell Carcinoma |
title_full | A Novel Molecular Signature Identified by Systems Genetics Approach Predicts Prognosis in Oral Squamous Cell Carcinoma |
title_fullStr | A Novel Molecular Signature Identified by Systems Genetics Approach Predicts Prognosis in Oral Squamous Cell Carcinoma |
title_full_unstemmed | A Novel Molecular Signature Identified by Systems Genetics Approach Predicts Prognosis in Oral Squamous Cell Carcinoma |
title_short | A Novel Molecular Signature Identified by Systems Genetics Approach Predicts Prognosis in Oral Squamous Cell Carcinoma |
title_sort | novel molecular signature identified by systems genetics approach predicts prognosis in oral squamous cell carcinoma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3154947/ https://www.ncbi.nlm.nih.gov/pubmed/21853135 http://dx.doi.org/10.1371/journal.pone.0023452 |
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