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Structure-based assessment and network analysis of targeting 14-3-3 proteins in prostate cancer
Developing combination therapy for castrate-resistant prostate cancer (CRPC) may require exploiting new drug targets outside androgen receptor and PI3K / AKT / mTOR signal transduction pathways implicated in prostate cancer (PCa) progression. One such possible new target is YWHAZ of the 14-3-3 prote...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6208026/ https://www.ncbi.nlm.nih.gov/pubmed/30382885 http://dx.doi.org/10.1186/s12943-018-0905-y |
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author | Root, Alex Beizaei, Azadeh Ebhardt, H. Alexander |
author_facet | Root, Alex Beizaei, Azadeh Ebhardt, H. Alexander |
author_sort | Root, Alex |
collection | PubMed |
description | Developing combination therapy for castrate-resistant prostate cancer (CRPC) may require exploiting new drug targets outside androgen receptor and PI3K / AKT / mTOR signal transduction pathways implicated in prostate cancer (PCa) progression. One such possible new target is YWHAZ of the 14-3-3 protein family as this gene has prognostic significance for metastatic CRPC patients. However, there are no small molecules targeting YWHAZ commercially available. Hence, we explored whether the small molecule BV02 targeting another 14-3-3 protein family member SFN also binds to YWHAZ. Using advanced docking algorithms we find that BV02 docks many other 14-3-3 family members. In addition, the amphipathic groove where drug binding occurs also has a high binding affinity for other drugs used to treat PCa such as docetaxel. The proteome of metastatic PCa models (LNCaP clone FGC and PC-3) was perturbed as a result of BV02 treatment. Through data integration of three proteomics data sets we found that BV02 modulates numerous protein-protein interactions involving 14-3-3 proteins in our PCa models. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12943-018-0905-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6208026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62080262018-11-16 Structure-based assessment and network analysis of targeting 14-3-3 proteins in prostate cancer Root, Alex Beizaei, Azadeh Ebhardt, H. Alexander Mol Cancer Letter to the Editor Developing combination therapy for castrate-resistant prostate cancer (CRPC) may require exploiting new drug targets outside androgen receptor and PI3K / AKT / mTOR signal transduction pathways implicated in prostate cancer (PCa) progression. One such possible new target is YWHAZ of the 14-3-3 protein family as this gene has prognostic significance for metastatic CRPC patients. However, there are no small molecules targeting YWHAZ commercially available. Hence, we explored whether the small molecule BV02 targeting another 14-3-3 protein family member SFN also binds to YWHAZ. Using advanced docking algorithms we find that BV02 docks many other 14-3-3 family members. In addition, the amphipathic groove where drug binding occurs also has a high binding affinity for other drugs used to treat PCa such as docetaxel. The proteome of metastatic PCa models (LNCaP clone FGC and PC-3) was perturbed as a result of BV02 treatment. Through data integration of three proteomics data sets we found that BV02 modulates numerous protein-protein interactions involving 14-3-3 proteins in our PCa models. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12943-018-0905-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-10-31 /pmc/articles/PMC6208026/ /pubmed/30382885 http://dx.doi.org/10.1186/s12943-018-0905-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 | Letter to the Editor Root, Alex Beizaei, Azadeh Ebhardt, H. Alexander Structure-based assessment and network analysis of targeting 14-3-3 proteins in prostate cancer |
title | Structure-based assessment and network analysis of targeting 14-3-3 proteins in prostate cancer |
title_full | Structure-based assessment and network analysis of targeting 14-3-3 proteins in prostate cancer |
title_fullStr | Structure-based assessment and network analysis of targeting 14-3-3 proteins in prostate cancer |
title_full_unstemmed | Structure-based assessment and network analysis of targeting 14-3-3 proteins in prostate cancer |
title_short | Structure-based assessment and network analysis of targeting 14-3-3 proteins in prostate cancer |
title_sort | structure-based assessment and network analysis of targeting 14-3-3 proteins in prostate cancer |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6208026/ https://www.ncbi.nlm.nih.gov/pubmed/30382885 http://dx.doi.org/10.1186/s12943-018-0905-y |
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