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Genome-Scale CRISPR-Cas9 Transcriptional Activation Screening in Metformin Resistance Related Gene of Prostate Cancer
Metformin is a classic type II diabetes drug which possesses anti-tumor properties for various cancers. However, different cancers do not respond to metformin with the same effectiveness or acquire resistance. Thus, searching for vulnerabilities of metformin-resistant prostate cancer is a promising...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870801/ https://www.ncbi.nlm.nih.gov/pubmed/33575255 http://dx.doi.org/10.3389/fcell.2020.616332 |
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author | Chen, Jiahong Huang, Yaqiang Tang, Zhenfeng Li, Maozhang Ling, Xiaohui Liao, Jinxian Zhou, Xiaobo Fang, Shumin Zhao, Haibo Zhong, Weide Yuan, Xia |
author_facet | Chen, Jiahong Huang, Yaqiang Tang, Zhenfeng Li, Maozhang Ling, Xiaohui Liao, Jinxian Zhou, Xiaobo Fang, Shumin Zhao, Haibo Zhong, Weide Yuan, Xia |
author_sort | Chen, Jiahong |
collection | PubMed |
description | Metformin is a classic type II diabetes drug which possesses anti-tumor properties for various cancers. However, different cancers do not respond to metformin with the same effectiveness or acquire resistance. Thus, searching for vulnerabilities of metformin-resistant prostate cancer is a promising strategy to improve the therapeutic efficiency of the drug. A genome-scale CRISPR-Cas9 activation library search targeting 23,430 genes was conducted to identify the genes that confer resistance to metformin in prostate cancer cells. Candidate genes were selected by total reads of sgRNA and sgRNA diversity, and then a CCK8 assay was used to verify their resistance to metformin. Interestingly, we discovered that the activation of ECE1, ABCA12, BPY2, EEF1A1, RAD9A, and NIPSNAP1 contributed to in vitro resistance to metformin in DU145 and PC3 cell lines. Notably, a high level of RAD9A, with poor prognosis in PCa, was the most significant gene in the CCK8 assay. Furthermore, we discerned the tumor immune microenvironment with RAD9A expression by CIBERSORT. These results suggested that a high level of RAD9A may upregulate regulatory T cells to counterbalance metformin in the tumor immune microenvironment. |
format | Online Article Text |
id | pubmed-7870801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78708012021-02-10 Genome-Scale CRISPR-Cas9 Transcriptional Activation Screening in Metformin Resistance Related Gene of Prostate Cancer Chen, Jiahong Huang, Yaqiang Tang, Zhenfeng Li, Maozhang Ling, Xiaohui Liao, Jinxian Zhou, Xiaobo Fang, Shumin Zhao, Haibo Zhong, Weide Yuan, Xia Front Cell Dev Biol Cell and Developmental Biology Metformin is a classic type II diabetes drug which possesses anti-tumor properties for various cancers. However, different cancers do not respond to metformin with the same effectiveness or acquire resistance. Thus, searching for vulnerabilities of metformin-resistant prostate cancer is a promising strategy to improve the therapeutic efficiency of the drug. A genome-scale CRISPR-Cas9 activation library search targeting 23,430 genes was conducted to identify the genes that confer resistance to metformin in prostate cancer cells. Candidate genes were selected by total reads of sgRNA and sgRNA diversity, and then a CCK8 assay was used to verify their resistance to metformin. Interestingly, we discovered that the activation of ECE1, ABCA12, BPY2, EEF1A1, RAD9A, and NIPSNAP1 contributed to in vitro resistance to metformin in DU145 and PC3 cell lines. Notably, a high level of RAD9A, with poor prognosis in PCa, was the most significant gene in the CCK8 assay. Furthermore, we discerned the tumor immune microenvironment with RAD9A expression by CIBERSORT. These results suggested that a high level of RAD9A may upregulate regulatory T cells to counterbalance metformin in the tumor immune microenvironment. Frontiers Media S.A. 2021-01-26 /pmc/articles/PMC7870801/ /pubmed/33575255 http://dx.doi.org/10.3389/fcell.2020.616332 Text en Copyright © 2021 Chen, Huang, Tang, Li, Ling, Liao, Zhou, Fang, Zhao, Zhong and Yuan. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cell and Developmental Biology Chen, Jiahong Huang, Yaqiang Tang, Zhenfeng Li, Maozhang Ling, Xiaohui Liao, Jinxian Zhou, Xiaobo Fang, Shumin Zhao, Haibo Zhong, Weide Yuan, Xia Genome-Scale CRISPR-Cas9 Transcriptional Activation Screening in Metformin Resistance Related Gene of Prostate Cancer |
title | Genome-Scale CRISPR-Cas9 Transcriptional Activation Screening in Metformin Resistance Related Gene of Prostate Cancer |
title_full | Genome-Scale CRISPR-Cas9 Transcriptional Activation Screening in Metformin Resistance Related Gene of Prostate Cancer |
title_fullStr | Genome-Scale CRISPR-Cas9 Transcriptional Activation Screening in Metformin Resistance Related Gene of Prostate Cancer |
title_full_unstemmed | Genome-Scale CRISPR-Cas9 Transcriptional Activation Screening in Metformin Resistance Related Gene of Prostate Cancer |
title_short | Genome-Scale CRISPR-Cas9 Transcriptional Activation Screening in Metformin Resistance Related Gene of Prostate Cancer |
title_sort | genome-scale crispr-cas9 transcriptional activation screening in metformin resistance related gene of prostate cancer |
topic | Cell and Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870801/ https://www.ncbi.nlm.nih.gov/pubmed/33575255 http://dx.doi.org/10.3389/fcell.2020.616332 |
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