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Integrative analysis of CRISPR screening data uncovers new opportunities for optimizing cancer immunotherapy

BACKGROUND: In recent years, the application of functional genetic immuno-oncology screens has showcased the striking ability to identify potential regulators engaged in tumor-immune interactions. Although these screens have yielded substantial data, few studies have attempted to systematically aggr...

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Autores principales: Li, Yan, Yang, Chen, Liu, Zhicheng, Du, Shangce, Can, Susan, Zhang, Hailin, Zhang, Linmeng, Huang, Xiaowen, Xiao, Zhenyu, Li, Xiaobo, Fang, Jingyuan, Qin, Wenxin, Sun, Chong, Wang, Cun, Chen, Jun, Chen, Huimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722047/
https://www.ncbi.nlm.nih.gov/pubmed/34980132
http://dx.doi.org/10.1186/s12943-021-01462-z
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author Li, Yan
Yang, Chen
Liu, Zhicheng
Du, Shangce
Can, Susan
Zhang, Hailin
Zhang, Linmeng
Huang, Xiaowen
Xiao, Zhenyu
Li, Xiaobo
Fang, Jingyuan
Qin, Wenxin
Sun, Chong
Wang, Cun
Chen, Jun
Chen, Huimin
author_facet Li, Yan
Yang, Chen
Liu, Zhicheng
Du, Shangce
Can, Susan
Zhang, Hailin
Zhang, Linmeng
Huang, Xiaowen
Xiao, Zhenyu
Li, Xiaobo
Fang, Jingyuan
Qin, Wenxin
Sun, Chong
Wang, Cun
Chen, Jun
Chen, Huimin
author_sort Li, Yan
collection PubMed
description BACKGROUND: In recent years, the application of functional genetic immuno-oncology screens has showcased the striking ability to identify potential regulators engaged in tumor-immune interactions. Although these screens have yielded substantial data, few studies have attempted to systematically aggregate and analyze them. METHODS: In this study, a comprehensive data collection of tumor immunity-associated functional screens was performed. Large-scale genomic data sets were exploited to conduct integrative analyses. RESULTS: We identified 105 regulator genes that could mediate resistance or sensitivity to immune cell-induced tumor elimination. Further analysis identified MON2 as a novel immune-oncology target with considerable therapeutic potential. In addition, based on the 105 genes, a signature named CTIS (CRISPR screening-based tumor-intrinsic immune score) for predicting response to immune checkpoint blockade (ICB) and several immunomodulatory agents with the potential to augment the efficacy of ICB were also determined. CONCLUSION: Overall, our findings provide insights into immune oncology and open up novel opportunities for improving the efficacy of current immunotherapy agents. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12943-021-01462-z.
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spelling pubmed-87220472022-01-06 Integrative analysis of CRISPR screening data uncovers new opportunities for optimizing cancer immunotherapy Li, Yan Yang, Chen Liu, Zhicheng Du, Shangce Can, Susan Zhang, Hailin Zhang, Linmeng Huang, Xiaowen Xiao, Zhenyu Li, Xiaobo Fang, Jingyuan Qin, Wenxin Sun, Chong Wang, Cun Chen, Jun Chen, Huimin Mol Cancer Research BACKGROUND: In recent years, the application of functional genetic immuno-oncology screens has showcased the striking ability to identify potential regulators engaged in tumor-immune interactions. Although these screens have yielded substantial data, few studies have attempted to systematically aggregate and analyze them. METHODS: In this study, a comprehensive data collection of tumor immunity-associated functional screens was performed. Large-scale genomic data sets were exploited to conduct integrative analyses. RESULTS: We identified 105 regulator genes that could mediate resistance or sensitivity to immune cell-induced tumor elimination. Further analysis identified MON2 as a novel immune-oncology target with considerable therapeutic potential. In addition, based on the 105 genes, a signature named CTIS (CRISPR screening-based tumor-intrinsic immune score) for predicting response to immune checkpoint blockade (ICB) and several immunomodulatory agents with the potential to augment the efficacy of ICB were also determined. CONCLUSION: Overall, our findings provide insights into immune oncology and open up novel opportunities for improving the efficacy of current immunotherapy agents. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12943-021-01462-z. BioMed Central 2022-01-02 /pmc/articles/PMC8722047/ /pubmed/34980132 http://dx.doi.org/10.1186/s12943-021-01462-z 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
Li, Yan
Yang, Chen
Liu, Zhicheng
Du, Shangce
Can, Susan
Zhang, Hailin
Zhang, Linmeng
Huang, Xiaowen
Xiao, Zhenyu
Li, Xiaobo
Fang, Jingyuan
Qin, Wenxin
Sun, Chong
Wang, Cun
Chen, Jun
Chen, Huimin
Integrative analysis of CRISPR screening data uncovers new opportunities for optimizing cancer immunotherapy
title Integrative analysis of CRISPR screening data uncovers new opportunities for optimizing cancer immunotherapy
title_full Integrative analysis of CRISPR screening data uncovers new opportunities for optimizing cancer immunotherapy
title_fullStr Integrative analysis of CRISPR screening data uncovers new opportunities for optimizing cancer immunotherapy
title_full_unstemmed Integrative analysis of CRISPR screening data uncovers new opportunities for optimizing cancer immunotherapy
title_short Integrative analysis of CRISPR screening data uncovers new opportunities for optimizing cancer immunotherapy
title_sort integrative analysis of crispr screening data uncovers new opportunities for optimizing cancer immunotherapy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722047/
https://www.ncbi.nlm.nih.gov/pubmed/34980132
http://dx.doi.org/10.1186/s12943-021-01462-z
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