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Exploiting high-throughput cell line drug screening studies to identify candidate therapeutic agents in head and neck cancer

BACKGROUND: There is an urgent need for better therapeutics in head and neck squamous cell cancer (HNSCC) to improve survival and decrease treatment morbidity. Recent advances in high-throughput drug screening techniques and next-generation sequencing have identified new therapeutic targets in other...

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Autores principales: Nichols, Anthony C, Black, Morgan, Yoo, John, Pinto, Nicole, Fernandes, Andrew, Haibe-Kains, Benjamin, Boutros, Paul C, Barrett, John W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258049/
https://www.ncbi.nlm.nih.gov/pubmed/25428177
http://dx.doi.org/10.1186/2050-6511-15-66
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author Nichols, Anthony C
Black, Morgan
Yoo, John
Pinto, Nicole
Fernandes, Andrew
Haibe-Kains, Benjamin
Boutros, Paul C
Barrett, John W
author_facet Nichols, Anthony C
Black, Morgan
Yoo, John
Pinto, Nicole
Fernandes, Andrew
Haibe-Kains, Benjamin
Boutros, Paul C
Barrett, John W
author_sort Nichols, Anthony C
collection PubMed
description BACKGROUND: There is an urgent need for better therapeutics in head and neck squamous cell cancer (HNSCC) to improve survival and decrease treatment morbidity. Recent advances in high-throughput drug screening techniques and next-generation sequencing have identified new therapeutic targets in other cancer types, but an HNSCC-specific study has not yet been carried out. We have exploited data from two large-scale cell line projects to clearly describe the mutational and copy number status of HNSCC cell lines and identify candidate drugs with elevated efficacy in HNSCC. METHODS: The genetic landscape of 42 HNSCC cell lines including mutational and copy number data from studies by Garnett et al., and Barretina et al., were analyzed. Data from Garnett et al. was interrogated for relationships between HNSCC cells versus the entire cell line pool using one- and two-way analyses of variance (ANOVAs). As only seven HNSCC cell lines were tested with drugs by Barretina et al., a similar analysis was not carried out. RESULTS: Recurrent mutations in human papillomavirus (HPV)-negative patient tumors were confirmed in HNSCC cell lines, however additional, recurrent, cell line-specific mutations were identified. Four drugs, Bosutinib, Docetaxel, BIBW2992, and Gefitinib, were found via multiple-test corrected ANOVA to have lower IC(50) values, suggesting higher drug sensitivity, in HNSCC lines versus non-HNSCC lines. Furthermore, the PI3K inhibitor AZD6482 demonstrated significantly higher activity (as measured by the IC(50)) in HNSCC cell lines harbouring PIK3CA mutations versus those that did not. CONCLUSION: HNSCC-specific reanalysis of large-scale drug screening studies has identified candidate drugs that may be of therapeutic benefit and provided insights into strategies to target PIK3CA mutant tumors. PIK3CA mutations may represent a predictive biomarker for response to PI3K inhibitors. A large-scale study focused on HNSCC cell lines and including HPV-positive lines is necessary and has the potential to accelerate the development of improved therapeutics for patients suffering with head and neck cancer. This strategy can potentially be used as a template for drug discovery in any cancer type. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2050-6511-15-66) contains supplementary material, which is available to authorized users.
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spelling pubmed-42580492014-12-07 Exploiting high-throughput cell line drug screening studies to identify candidate therapeutic agents in head and neck cancer Nichols, Anthony C Black, Morgan Yoo, John Pinto, Nicole Fernandes, Andrew Haibe-Kains, Benjamin Boutros, Paul C Barrett, John W BMC Pharmacol Toxicol Research Article BACKGROUND: There is an urgent need for better therapeutics in head and neck squamous cell cancer (HNSCC) to improve survival and decrease treatment morbidity. Recent advances in high-throughput drug screening techniques and next-generation sequencing have identified new therapeutic targets in other cancer types, but an HNSCC-specific study has not yet been carried out. We have exploited data from two large-scale cell line projects to clearly describe the mutational and copy number status of HNSCC cell lines and identify candidate drugs with elevated efficacy in HNSCC. METHODS: The genetic landscape of 42 HNSCC cell lines including mutational and copy number data from studies by Garnett et al., and Barretina et al., were analyzed. Data from Garnett et al. was interrogated for relationships between HNSCC cells versus the entire cell line pool using one- and two-way analyses of variance (ANOVAs). As only seven HNSCC cell lines were tested with drugs by Barretina et al., a similar analysis was not carried out. RESULTS: Recurrent mutations in human papillomavirus (HPV)-negative patient tumors were confirmed in HNSCC cell lines, however additional, recurrent, cell line-specific mutations were identified. Four drugs, Bosutinib, Docetaxel, BIBW2992, and Gefitinib, were found via multiple-test corrected ANOVA to have lower IC(50) values, suggesting higher drug sensitivity, in HNSCC lines versus non-HNSCC lines. Furthermore, the PI3K inhibitor AZD6482 demonstrated significantly higher activity (as measured by the IC(50)) in HNSCC cell lines harbouring PIK3CA mutations versus those that did not. CONCLUSION: HNSCC-specific reanalysis of large-scale drug screening studies has identified candidate drugs that may be of therapeutic benefit and provided insights into strategies to target PIK3CA mutant tumors. PIK3CA mutations may represent a predictive biomarker for response to PI3K inhibitors. A large-scale study focused on HNSCC cell lines and including HPV-positive lines is necessary and has the potential to accelerate the development of improved therapeutics for patients suffering with head and neck cancer. This strategy can potentially be used as a template for drug discovery in any cancer type. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/2050-6511-15-66) contains supplementary material, which is available to authorized users. BioMed Central 2014-11-27 /pmc/articles/PMC4258049/ /pubmed/25428177 http://dx.doi.org/10.1186/2050-6511-15-66 Text en © Nichols et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Article
Nichols, Anthony C
Black, Morgan
Yoo, John
Pinto, Nicole
Fernandes, Andrew
Haibe-Kains, Benjamin
Boutros, Paul C
Barrett, John W
Exploiting high-throughput cell line drug screening studies to identify candidate therapeutic agents in head and neck cancer
title Exploiting high-throughput cell line drug screening studies to identify candidate therapeutic agents in head and neck cancer
title_full Exploiting high-throughput cell line drug screening studies to identify candidate therapeutic agents in head and neck cancer
title_fullStr Exploiting high-throughput cell line drug screening studies to identify candidate therapeutic agents in head and neck cancer
title_full_unstemmed Exploiting high-throughput cell line drug screening studies to identify candidate therapeutic agents in head and neck cancer
title_short Exploiting high-throughput cell line drug screening studies to identify candidate therapeutic agents in head and neck cancer
title_sort exploiting high-throughput cell line drug screening studies to identify candidate therapeutic agents in head and neck cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258049/
https://www.ncbi.nlm.nih.gov/pubmed/25428177
http://dx.doi.org/10.1186/2050-6511-15-66
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