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Identification of the receptor of oncolytic virus M1 as a therapeutic predictor for multiple solid tumors

Over the last decade, oncolytic virus (OV) therapy has shown its promising potential in tumor treatment. The fact that not every patient can benefit from it highlights the importance for defining biomarkers that help predict patients’ responses. As particular self-amplifying biotherapeutics, the ant...

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Autores principales: Song, Deli, Jia, Xudong, Liu, Xincheng, Hu, Linyi, Lin, Kaiying, Xiao, Tong, Qiao, Yangyang, Zhang, Jiayu, Dan, Jia, Wong, Chunwa, Hu, Cheng, Sai, Ke, Gong, Shoufang, Sander, Max, Shen, Runling, Chen, Xiaoyu, Xiao, Xiaoting, Chen, Jiehong, Zhang, Yanming, Wei, Cailv, Xiao, Xiao, Liang, Jiankai, Zhang, Qinfen, Hu, Jun, Zhu, Wenbo, Yan, Guangmei, Lin, Yuan, Cai, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989880/
https://www.ncbi.nlm.nih.gov/pubmed/35393389
http://dx.doi.org/10.1038/s41392-022-00921-3
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author Song, Deli
Jia, Xudong
Liu, Xincheng
Hu, Linyi
Lin, Kaiying
Xiao, Tong
Qiao, Yangyang
Zhang, Jiayu
Dan, Jia
Wong, Chunwa
Hu, Cheng
Sai, Ke
Gong, Shoufang
Sander, Max
Shen, Runling
Chen, Xiaoyu
Xiao, Xiaoting
Chen, Jiehong
Zhang, Yanming
Wei, Cailv
Xiao, Xiao
Liang, Jiankai
Zhang, Qinfen
Hu, Jun
Zhu, Wenbo
Yan, Guangmei
Lin, Yuan
Cai, Jing
author_facet Song, Deli
Jia, Xudong
Liu, Xincheng
Hu, Linyi
Lin, Kaiying
Xiao, Tong
Qiao, Yangyang
Zhang, Jiayu
Dan, Jia
Wong, Chunwa
Hu, Cheng
Sai, Ke
Gong, Shoufang
Sander, Max
Shen, Runling
Chen, Xiaoyu
Xiao, Xiaoting
Chen, Jiehong
Zhang, Yanming
Wei, Cailv
Xiao, Xiao
Liang, Jiankai
Zhang, Qinfen
Hu, Jun
Zhu, Wenbo
Yan, Guangmei
Lin, Yuan
Cai, Jing
author_sort Song, Deli
collection PubMed
description Over the last decade, oncolytic virus (OV) therapy has shown its promising potential in tumor treatment. The fact that not every patient can benefit from it highlights the importance for defining biomarkers that help predict patients’ responses. As particular self-amplifying biotherapeutics, the anti-tumor effects of OVs are highly dependent on the host factors for viral infection and replication. By using weighted gene co-expression network analysis (WGCNA), we found matrix remodeling associated 8 (MXRA8) is positively correlated with the oncolysis induced by oncolytic virus M1 (OVM). Consistently, MXRA8 promotes the oncolytic efficacy of OVM in vitro and in vivo. Moreover, the interaction of MXRA8 and OVM studied by single-particle cryo-electron microscopy (cryo-EM) showed that MXRA8 directly binds to this virus. Therefore, MXRA8 acts as the entry receptor of OVM. Pan-cancer analysis showed that MXRA8 is abundant in most solid tumors and is highly expressed in tumor tissues compared with adjacent normal ones. Further study in cancer cell lines and patient-derived tumor tissues revealed that the tumor selectivity of OVM is predominantly determined by a combinational effect of the cell membrane receptor MXRA8 and the intracellular factor, zinc-finger antiviral protein (ZAP). Taken together, our study may provide a novel dual-biomarker for precision medicine in OVM therapy.
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spelling pubmed-89898802022-04-22 Identification of the receptor of oncolytic virus M1 as a therapeutic predictor for multiple solid tumors Song, Deli Jia, Xudong Liu, Xincheng Hu, Linyi Lin, Kaiying Xiao, Tong Qiao, Yangyang Zhang, Jiayu Dan, Jia Wong, Chunwa Hu, Cheng Sai, Ke Gong, Shoufang Sander, Max Shen, Runling Chen, Xiaoyu Xiao, Xiaoting Chen, Jiehong Zhang, Yanming Wei, Cailv Xiao, Xiao Liang, Jiankai Zhang, Qinfen Hu, Jun Zhu, Wenbo Yan, Guangmei Lin, Yuan Cai, Jing Signal Transduct Target Ther Article Over the last decade, oncolytic virus (OV) therapy has shown its promising potential in tumor treatment. The fact that not every patient can benefit from it highlights the importance for defining biomarkers that help predict patients’ responses. As particular self-amplifying biotherapeutics, the anti-tumor effects of OVs are highly dependent on the host factors for viral infection and replication. By using weighted gene co-expression network analysis (WGCNA), we found matrix remodeling associated 8 (MXRA8) is positively correlated with the oncolysis induced by oncolytic virus M1 (OVM). Consistently, MXRA8 promotes the oncolytic efficacy of OVM in vitro and in vivo. Moreover, the interaction of MXRA8 and OVM studied by single-particle cryo-electron microscopy (cryo-EM) showed that MXRA8 directly binds to this virus. Therefore, MXRA8 acts as the entry receptor of OVM. Pan-cancer analysis showed that MXRA8 is abundant in most solid tumors and is highly expressed in tumor tissues compared with adjacent normal ones. Further study in cancer cell lines and patient-derived tumor tissues revealed that the tumor selectivity of OVM is predominantly determined by a combinational effect of the cell membrane receptor MXRA8 and the intracellular factor, zinc-finger antiviral protein (ZAP). Taken together, our study may provide a novel dual-biomarker for precision medicine in OVM therapy. Nature Publishing Group UK 2022-04-08 /pmc/articles/PMC8989880/ /pubmed/35393389 http://dx.doi.org/10.1038/s41392-022-00921-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Song, Deli
Jia, Xudong
Liu, Xincheng
Hu, Linyi
Lin, Kaiying
Xiao, Tong
Qiao, Yangyang
Zhang, Jiayu
Dan, Jia
Wong, Chunwa
Hu, Cheng
Sai, Ke
Gong, Shoufang
Sander, Max
Shen, Runling
Chen, Xiaoyu
Xiao, Xiaoting
Chen, Jiehong
Zhang, Yanming
Wei, Cailv
Xiao, Xiao
Liang, Jiankai
Zhang, Qinfen
Hu, Jun
Zhu, Wenbo
Yan, Guangmei
Lin, Yuan
Cai, Jing
Identification of the receptor of oncolytic virus M1 as a therapeutic predictor for multiple solid tumors
title Identification of the receptor of oncolytic virus M1 as a therapeutic predictor for multiple solid tumors
title_full Identification of the receptor of oncolytic virus M1 as a therapeutic predictor for multiple solid tumors
title_fullStr Identification of the receptor of oncolytic virus M1 as a therapeutic predictor for multiple solid tumors
title_full_unstemmed Identification of the receptor of oncolytic virus M1 as a therapeutic predictor for multiple solid tumors
title_short Identification of the receptor of oncolytic virus M1 as a therapeutic predictor for multiple solid tumors
title_sort identification of the receptor of oncolytic virus m1 as a therapeutic predictor for multiple solid tumors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989880/
https://www.ncbi.nlm.nih.gov/pubmed/35393389
http://dx.doi.org/10.1038/s41392-022-00921-3
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