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From GWAS to drug screening: repurposing antipsychotics for glioblastoma.


ABSTRACT:

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.

SUBMITTER: Lin WZ 

PROVIDER: S-EPMC8815269 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature

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Publications

From GWAS to drug screening: repurposing antipsychotics for glioblastoma.

Lin Wei-Zhi WZ   Liu Yen-Chun YC   Lee Meng-Chang MC   Tang Chi-Tun CT   Wu Gwo-Jang GJ   Chang Yu-Tien YT   Chu Chi-Ming CM   Chu Chi-Ming CM   Shiau Chia-Yang CY  

Journal of translational medicine 20220204 1


<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>The in-silico screening led to the discovery of 12 candidate drugs  ...[more]

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