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Somatic copy number alterations detected by ultra-deep targeted sequencing predict prognosis in oral cavity squamous cell carcinoma

BACKGROUND: Ultra-deep targeted sequencing (UDT-Seq) has advanced our knowledge on the incidence and functional significance of somatic mutations. However, the utility of UDT-Seq in detecting copy number alterations (CNAs) remains unclear. With the goal of improving molecular prognostication and ide...

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Autores principales: Peng, Chien-Hua, Liao, Chun-Ta, Ng, Ka-Pou, Tai, An-Shun, Peng, Shih-Chi, Yeh, Jen-Pao, Chen, Shu-Jen, Tsao, Kuo-Chien, Yen, Tzu-Chen, Hsieh, Wen-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4637328/
https://www.ncbi.nlm.nih.gov/pubmed/26087196
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author Peng, Chien-Hua
Liao, Chun-Ta
Ng, Ka-Pou
Tai, An-Shun
Peng, Shih-Chi
Yeh, Jen-Pao
Chen, Shu-Jen
Tsao, Kuo-Chien
Yen, Tzu-Chen
Hsieh, Wen-Ping
author_facet Peng, Chien-Hua
Liao, Chun-Ta
Ng, Ka-Pou
Tai, An-Shun
Peng, Shih-Chi
Yeh, Jen-Pao
Chen, Shu-Jen
Tsao, Kuo-Chien
Yen, Tzu-Chen
Hsieh, Wen-Ping
author_sort Peng, Chien-Hua
collection PubMed
description BACKGROUND: Ultra-deep targeted sequencing (UDT-Seq) has advanced our knowledge on the incidence and functional significance of somatic mutations. However, the utility of UDT-Seq in detecting copy number alterations (CNAs) remains unclear. With the goal of improving molecular prognostication and identifying new therapeutic targets, we designed this study to assess whether UDT-Seq may be useful for detecting CNA in oral cavity squamous cell carcinoma (OSCC). METHODS: We sequenced a panel of clinically actionable cancer mutations in 310 formalin-fixed paraffin-embedded OSCC specimens. A linear model was developed to overcome uneven coverage across target regions and multiple samples. The 5-year rates of secondary primary tumors, local recurrence, neck recurrence, distant metastases, and survival served as the outcome measures. We confirmed the prognostic significance of the CNA signatures in an independent sample of 105 primary OSCC specimens. RESULTS: The CNA burden across 10 targeted genes was found to predict prognosis in two independent cohorts. FGFR1 and PIK3CAamplifications were associated with prognosis independent of clinical risk factors. Genes exhibiting CNA were clustered in the proteoglycan metabolism, the FOXO signaling, and the PI3K-AKT signaling pathways, for which targeted drugs are already available or currently under development. CONCLUSIONS: UDT-Seq is clinically useful to identify CNA, which significantly improve the prognostic information provided by traditional clinicopathological risk factors in OSCC patients.
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spelling pubmed-46373282015-12-02 Somatic copy number alterations detected by ultra-deep targeted sequencing predict prognosis in oral cavity squamous cell carcinoma Peng, Chien-Hua Liao, Chun-Ta Ng, Ka-Pou Tai, An-Shun Peng, Shih-Chi Yeh, Jen-Pao Chen, Shu-Jen Tsao, Kuo-Chien Yen, Tzu-Chen Hsieh, Wen-Ping Oncotarget Clinical Research Paper BACKGROUND: Ultra-deep targeted sequencing (UDT-Seq) has advanced our knowledge on the incidence and functional significance of somatic mutations. However, the utility of UDT-Seq in detecting copy number alterations (CNAs) remains unclear. With the goal of improving molecular prognostication and identifying new therapeutic targets, we designed this study to assess whether UDT-Seq may be useful for detecting CNA in oral cavity squamous cell carcinoma (OSCC). METHODS: We sequenced a panel of clinically actionable cancer mutations in 310 formalin-fixed paraffin-embedded OSCC specimens. A linear model was developed to overcome uneven coverage across target regions and multiple samples. The 5-year rates of secondary primary tumors, local recurrence, neck recurrence, distant metastases, and survival served as the outcome measures. We confirmed the prognostic significance of the CNA signatures in an independent sample of 105 primary OSCC specimens. RESULTS: The CNA burden across 10 targeted genes was found to predict prognosis in two independent cohorts. FGFR1 and PIK3CAamplifications were associated with prognosis independent of clinical risk factors. Genes exhibiting CNA were clustered in the proteoglycan metabolism, the FOXO signaling, and the PI3K-AKT signaling pathways, for which targeted drugs are already available or currently under development. CONCLUSIONS: UDT-Seq is clinically useful to identify CNA, which significantly improve the prognostic information provided by traditional clinicopathological risk factors in OSCC patients. Impact Journals LLC 2015-06-02 /pmc/articles/PMC4637328/ /pubmed/26087196 Text en Copyright: © 2015 Peng et al. http://creativecommons.org/licenses/by/2.5/ 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 credited.
spellingShingle Clinical Research Paper
Peng, Chien-Hua
Liao, Chun-Ta
Ng, Ka-Pou
Tai, An-Shun
Peng, Shih-Chi
Yeh, Jen-Pao
Chen, Shu-Jen
Tsao, Kuo-Chien
Yen, Tzu-Chen
Hsieh, Wen-Ping
Somatic copy number alterations detected by ultra-deep targeted sequencing predict prognosis in oral cavity squamous cell carcinoma
title Somatic copy number alterations detected by ultra-deep targeted sequencing predict prognosis in oral cavity squamous cell carcinoma
title_full Somatic copy number alterations detected by ultra-deep targeted sequencing predict prognosis in oral cavity squamous cell carcinoma
title_fullStr Somatic copy number alterations detected by ultra-deep targeted sequencing predict prognosis in oral cavity squamous cell carcinoma
title_full_unstemmed Somatic copy number alterations detected by ultra-deep targeted sequencing predict prognosis in oral cavity squamous cell carcinoma
title_short Somatic copy number alterations detected by ultra-deep targeted sequencing predict prognosis in oral cavity squamous cell carcinoma
title_sort somatic copy number alterations detected by ultra-deep targeted sequencing predict prognosis in oral cavity squamous cell carcinoma
topic Clinical Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4637328/
https://www.ncbi.nlm.nih.gov/pubmed/26087196
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