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Uncovering drug repurposing candidates for head and neck cancers: insights from systematic pharmacogenomics data analysis

Effective treatment options for head and neck squamous cell carcinoma (HNSCC) are currently lacking. We exploited the drug response and genomic data of the 28 HNSCC cell lines, screened with 4,518 compounds, from the PRISM repurposing dataset to uncover repurposing drug candidates for HNSCC. A total...

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Autores principales: Chai, Annie Wai Yeeng, Tan, Aik Choon, Cheong, Sok Ching
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671460/
https://www.ncbi.nlm.nih.gov/pubmed/34907286
http://dx.doi.org/10.1038/s41598-021-03418-1
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author Chai, Annie Wai Yeeng
Tan, Aik Choon
Cheong, Sok Ching
author_facet Chai, Annie Wai Yeeng
Tan, Aik Choon
Cheong, Sok Ching
author_sort Chai, Annie Wai Yeeng
collection PubMed
description Effective treatment options for head and neck squamous cell carcinoma (HNSCC) are currently lacking. We exploited the drug response and genomic data of the 28 HNSCC cell lines, screened with 4,518 compounds, from the PRISM repurposing dataset to uncover repurposing drug candidates for HNSCC. A total of 886 active compounds, comprising of 418 targeted cancer, 404 non-oncology, and 64 chemotherapy compounds were identified for HNSCC. Top classes of mechanism of action amongst targeted cancer compounds included PI3K/AKT/MTOR, EGFR, and HDAC inhibitors. We have shortlisted 36 compounds with enriched killing activities for repurposing in HNSCC. The integrative analysis confirmed that the average expression of EGFR ligands (AREG, EREG, HBEGF, TGFA, and EPGN) is associated with osimertinib sensitivity. Novel putative biomarkers of response including those involved in immune signalling and cell cycle were found to be associated with sensitivity and resistance to MEK inhibitors respectively. We have also developed an RShiny webpage facilitating interactive visualization to fuel further hypothesis generation for drug repurposing in HNSCC. Our study provides a rich reference database of HNSCC drug sensitivity profiles, affording an opportunity to explore potential biomarkers of response in prioritized drug candidates. Our approach could also reveal insights for drug repurposing in other cancers.
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spelling pubmed-86714602021-12-16 Uncovering drug repurposing candidates for head and neck cancers: insights from systematic pharmacogenomics data analysis Chai, Annie Wai Yeeng Tan, Aik Choon Cheong, Sok Ching Sci Rep Article Effective treatment options for head and neck squamous cell carcinoma (HNSCC) are currently lacking. We exploited the drug response and genomic data of the 28 HNSCC cell lines, screened with 4,518 compounds, from the PRISM repurposing dataset to uncover repurposing drug candidates for HNSCC. A total of 886 active compounds, comprising of 418 targeted cancer, 404 non-oncology, and 64 chemotherapy compounds were identified for HNSCC. Top classes of mechanism of action amongst targeted cancer compounds included PI3K/AKT/MTOR, EGFR, and HDAC inhibitors. We have shortlisted 36 compounds with enriched killing activities for repurposing in HNSCC. The integrative analysis confirmed that the average expression of EGFR ligands (AREG, EREG, HBEGF, TGFA, and EPGN) is associated with osimertinib sensitivity. Novel putative biomarkers of response including those involved in immune signalling and cell cycle were found to be associated with sensitivity and resistance to MEK inhibitors respectively. We have also developed an RShiny webpage facilitating interactive visualization to fuel further hypothesis generation for drug repurposing in HNSCC. Our study provides a rich reference database of HNSCC drug sensitivity profiles, affording an opportunity to explore potential biomarkers of response in prioritized drug candidates. Our approach could also reveal insights for drug repurposing in other cancers. Nature Publishing Group UK 2021-12-14 /pmc/articles/PMC8671460/ /pubmed/34907286 http://dx.doi.org/10.1038/s41598-021-03418-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Chai, Annie Wai Yeeng
Tan, Aik Choon
Cheong, Sok Ching
Uncovering drug repurposing candidates for head and neck cancers: insights from systematic pharmacogenomics data analysis
title Uncovering drug repurposing candidates for head and neck cancers: insights from systematic pharmacogenomics data analysis
title_full Uncovering drug repurposing candidates for head and neck cancers: insights from systematic pharmacogenomics data analysis
title_fullStr Uncovering drug repurposing candidates for head and neck cancers: insights from systematic pharmacogenomics data analysis
title_full_unstemmed Uncovering drug repurposing candidates for head and neck cancers: insights from systematic pharmacogenomics data analysis
title_short Uncovering drug repurposing candidates for head and neck cancers: insights from systematic pharmacogenomics data analysis
title_sort uncovering drug repurposing candidates for head and neck cancers: insights from systematic pharmacogenomics data analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671460/
https://www.ncbi.nlm.nih.gov/pubmed/34907286
http://dx.doi.org/10.1038/s41598-021-03418-1
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