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From GWAS to drug screening: repurposing antipsychotics for glioblastoma

BACKGROUND: Glioblastoma is currently an incurable cancer. Genome-wide association studies have demonstrated that 41 genetic variants are associated with glioblastoma and may provide an option for drug development. METHODS: We investigated FDA-approved antipsychotics for their potential treatment of...

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Autores principales: Lin, Wei-Zhi, Liu, Yen-Chun, Lee, Meng-Chang, Tang, Chi-Tun, Wu, Gwo-Jang, Chang, Yu-Tien, Chu, Chi-Ming, Shiau, Chia-Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8815269/
https://www.ncbi.nlm.nih.gov/pubmed/35120529
http://dx.doi.org/10.1186/s12967-021-03209-2
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author Lin, Wei-Zhi
Liu, Yen-Chun
Lee, Meng-Chang
Tang, Chi-Tun
Wu, Gwo-Jang
Chang, Yu-Tien
Chu, Chi-Ming
Shiau, Chia-Yang
author_facet Lin, Wei-Zhi
Liu, Yen-Chun
Lee, Meng-Chang
Tang, Chi-Tun
Wu, Gwo-Jang
Chang, Yu-Tien
Chu, Chi-Ming
Shiau, Chia-Yang
author_sort Lin, Wei-Zhi
collection PubMed
description BACKGROUND: Glioblastoma is currently an incurable cancer. Genome-wide association studies have demonstrated that 41 genetic variants are associated with glioblastoma and may provide an option for drug development. METHODS: We investigated FDA-approved antipsychotics for their potential treatment of glioblastoma based on genome-wide association studies data using a ‘pathway/gene-set analysis’ approach. RESULTS: The in-silico screening led to the discovery of 12 candidate drugs. DepMap portal revealed that 42 glioma cell lines show higher sensitivities to 12 candidate drugs than to Temozolomide, the current standard treatment for glioblastoma. CONCLUSION: In particular, cell lines showed significantly higher sensitivities to Norcyclobenzaprine and Protriptyline which were predicted to bind targets to disrupt a certain molecular function such as DNA repair, response to hormones, or DNA-templated transcription, and may lead to an effect on survival-related pathways including cell cycle arrest, response to ER stress, glucose transport, and regulation of autophagy. However, it is recommended that their mechanism of action and efficacy are further determined. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-021-03209-2.
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spelling pubmed-88152692022-02-07 From GWAS to drug screening: repurposing antipsychotics for glioblastoma Lin, Wei-Zhi Liu, Yen-Chun Lee, Meng-Chang Tang, Chi-Tun Wu, Gwo-Jang Chang, Yu-Tien Chu, Chi-Ming Shiau, Chia-Yang J Transl Med Research BACKGROUND: Glioblastoma is currently an incurable cancer. Genome-wide association studies have demonstrated that 41 genetic variants are associated with glioblastoma and may provide an option for drug development. METHODS: We investigated FDA-approved antipsychotics for their potential treatment of glioblastoma based on genome-wide association studies data using a ‘pathway/gene-set analysis’ approach. RESULTS: The in-silico screening led to the discovery of 12 candidate drugs. DepMap portal revealed that 42 glioma cell lines show higher sensitivities to 12 candidate drugs than to Temozolomide, the current standard treatment for glioblastoma. CONCLUSION: In particular, cell lines showed significantly higher sensitivities to Norcyclobenzaprine and Protriptyline which were predicted to bind targets to disrupt a certain molecular function such as DNA repair, response to hormones, or DNA-templated transcription, and may lead to an effect on survival-related pathways including cell cycle arrest, response to ER stress, glucose transport, and regulation of autophagy. However, it is recommended that their mechanism of action and efficacy are further determined. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-021-03209-2. BioMed Central 2022-02-04 /pmc/articles/PMC8815269/ /pubmed/35120529 http://dx.doi.org/10.1186/s12967-021-03209-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lin, Wei-Zhi
Liu, Yen-Chun
Lee, Meng-Chang
Tang, Chi-Tun
Wu, Gwo-Jang
Chang, Yu-Tien
Chu, Chi-Ming
Shiau, Chia-Yang
From GWAS to drug screening: repurposing antipsychotics for glioblastoma
title From GWAS to drug screening: repurposing antipsychotics for glioblastoma
title_full From GWAS to drug screening: repurposing antipsychotics for glioblastoma
title_fullStr From GWAS to drug screening: repurposing antipsychotics for glioblastoma
title_full_unstemmed From GWAS to drug screening: repurposing antipsychotics for glioblastoma
title_short From GWAS to drug screening: repurposing antipsychotics for glioblastoma
title_sort from gwas to drug screening: repurposing antipsychotics for glioblastoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8815269/
https://www.ncbi.nlm.nih.gov/pubmed/35120529
http://dx.doi.org/10.1186/s12967-021-03209-2
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