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High-affinity SOAT1 ligands remodeled cholesterol metabolism program to inhibit tumor growth
BACKGROUND: Although cholesterol metabolism is a common pathway for the development of antitumor drugs, there are no specific targets and drugs for clinical use. Here, based on our previous study of sterol O-acyltransferase 1 (SOAT1) in hepatocelluar carcinoma, we sought to screen an effective targe...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361549/ https://www.ncbi.nlm.nih.gov/pubmed/35941608 http://dx.doi.org/10.1186/s12916-022-02436-8 |
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author | Wang, Zhihua Wang, Miaomiao Zhang, Mengxin Xu, Kaikun Zhang, Xinshuai Xie, Yi Zhang, Yiming Chang, Cheng Li, Xiaolu Sun, Aihua He, Fuchu |
author_facet | Wang, Zhihua Wang, Miaomiao Zhang, Mengxin Xu, Kaikun Zhang, Xinshuai Xie, Yi Zhang, Yiming Chang, Cheng Li, Xiaolu Sun, Aihua He, Fuchu |
author_sort | Wang, Zhihua |
collection | PubMed |
description | BACKGROUND: Although cholesterol metabolism is a common pathway for the development of antitumor drugs, there are no specific targets and drugs for clinical use. Here, based on our previous study of sterol O-acyltransferase 1 (SOAT1) in hepatocelluar carcinoma, we sought to screen an effective targeted drug for precise treatment of hepatocelluar carcinoma and, from the perspective of cholesterol metabolism, clarify the relationship between cholesterol regulation and tumorigenesis and development. METHODS: In this study, we developed a virtual screening integrated affinity screening technology for target protein drug screening. A series of in vitro and in vivo experiments were used for drug activity verification. Multi-omics analysis and flow cytometry analysis were used to explore antitumor mechanisms. Comparative analysis of proteome and transcriptome combined with survival follow-up information of patients reveals the clinical therapeutic potential of screened drugs. RESULTS: We screened three compounds, nilotinib, ABT-737, and evacetrapib, that exhibited optimal binding with SOAT1. In particular, nilotinib displayed a high affinity for SOAT1 protein and significantly inhibited tumor activity both in vitro and in vivo. Multi-omics analysis and flow cytometry analysis indicated that SOAT1-targeting compounds reprogrammed the cholesterol metabolism in tumors and enhanced CD8(+) T cells and neutrophils to suppress tumor growth. CONCLUSIONS: Taken together, we reported several high-affinity SOAT1 ligands and demonstrated their clinical potential in the precision therapy of liver cancer, and also reveal the potential antitumor mechanism of SOAT1-targeting compounds. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02436-8. |
format | Online Article Text |
id | pubmed-9361549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93615492022-08-10 High-affinity SOAT1 ligands remodeled cholesterol metabolism program to inhibit tumor growth Wang, Zhihua Wang, Miaomiao Zhang, Mengxin Xu, Kaikun Zhang, Xinshuai Xie, Yi Zhang, Yiming Chang, Cheng Li, Xiaolu Sun, Aihua He, Fuchu BMC Med Research Article BACKGROUND: Although cholesterol metabolism is a common pathway for the development of antitumor drugs, there are no specific targets and drugs for clinical use. Here, based on our previous study of sterol O-acyltransferase 1 (SOAT1) in hepatocelluar carcinoma, we sought to screen an effective targeted drug for precise treatment of hepatocelluar carcinoma and, from the perspective of cholesterol metabolism, clarify the relationship between cholesterol regulation and tumorigenesis and development. METHODS: In this study, we developed a virtual screening integrated affinity screening technology for target protein drug screening. A series of in vitro and in vivo experiments were used for drug activity verification. Multi-omics analysis and flow cytometry analysis were used to explore antitumor mechanisms. Comparative analysis of proteome and transcriptome combined with survival follow-up information of patients reveals the clinical therapeutic potential of screened drugs. RESULTS: We screened three compounds, nilotinib, ABT-737, and evacetrapib, that exhibited optimal binding with SOAT1. In particular, nilotinib displayed a high affinity for SOAT1 protein and significantly inhibited tumor activity both in vitro and in vivo. Multi-omics analysis and flow cytometry analysis indicated that SOAT1-targeting compounds reprogrammed the cholesterol metabolism in tumors and enhanced CD8(+) T cells and neutrophils to suppress tumor growth. CONCLUSIONS: Taken together, we reported several high-affinity SOAT1 ligands and demonstrated their clinical potential in the precision therapy of liver cancer, and also reveal the potential antitumor mechanism of SOAT1-targeting compounds. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02436-8. BioMed Central 2022-08-09 /pmc/articles/PMC9361549/ /pubmed/35941608 http://dx.doi.org/10.1186/s12916-022-02436-8 Text en © The Author(s) 2022 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 Article Wang, Zhihua Wang, Miaomiao Zhang, Mengxin Xu, Kaikun Zhang, Xinshuai Xie, Yi Zhang, Yiming Chang, Cheng Li, Xiaolu Sun, Aihua He, Fuchu High-affinity SOAT1 ligands remodeled cholesterol metabolism program to inhibit tumor growth |
title | High-affinity SOAT1 ligands remodeled cholesterol metabolism program to inhibit tumor growth |
title_full | High-affinity SOAT1 ligands remodeled cholesterol metabolism program to inhibit tumor growth |
title_fullStr | High-affinity SOAT1 ligands remodeled cholesterol metabolism program to inhibit tumor growth |
title_full_unstemmed | High-affinity SOAT1 ligands remodeled cholesterol metabolism program to inhibit tumor growth |
title_short | High-affinity SOAT1 ligands remodeled cholesterol metabolism program to inhibit tumor growth |
title_sort | high-affinity soat1 ligands remodeled cholesterol metabolism program to inhibit tumor growth |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361549/ https://www.ncbi.nlm.nih.gov/pubmed/35941608 http://dx.doi.org/10.1186/s12916-022-02436-8 |
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