In silico identification of natural products from Traditional Chinese Medicine for cancer immunotherapy

Abstract Advances in immunotherapy have revolutionized treatments in many types of cancer. Traditional Chinese Medicine (TCM), which has a long history of clinical adjuvant application against cancer, is emerging as an important medical resource for developing innovative cancer treatments, including...

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Autores principales:	Chuipu Cai, Qihui Wu, Honghai Hong, Liying He, Zhihong Liu, Yong Gu, Shijie Zhang, Qi Wang, Xiude Fan, Jiansong Fang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/940e7bfa7a8b42bcbd19cf3cb23634a5
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spelling	oai:doaj.org-article:940e7bfa7a8b42bcbd19cf3cb23634a52021-12-02T14:11:31ZIn silico identification of natural products from Traditional Chinese Medicine for cancer immunotherapy10.1038/s41598-021-82857-22045-2322https://doaj.org/article/940e7bfa7a8b42bcbd19cf3cb23634a52021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82857-2https://doaj.org/toc/2045-2322Abstract Advances in immunotherapy have revolutionized treatments in many types of cancer. Traditional Chinese Medicine (TCM), which has a long history of clinical adjuvant application against cancer, is emerging as an important medical resource for developing innovative cancer treatments, including immunotherapy. In this study, we developed a quantitative and systems pharmacology-based framework to identify TCM-derived natural products for cancer immunotherapy. Specifically, we integrated 381 cancer immune response-related genes and a compound-target interaction network connecting 3273 proteins and 766 natural products from 66 cancer-related herbs based on literature-mining. Via systems pharmacology-based prediction, we uncovered 182 TCM-derived natural products having potential anti-tumor immune responses effect. Importantly, 32 of the 49 most promising natural products (success rate = 65.31%) are validated by multiple evidence, including published experimental data from clinical studies, in vitro and in vivo assays. We further identified the mechanism-of-action of TCM in cancer immunotherapy using network-based functional enrichment analysis. We showcased that three typical natural products (baicalin, wogonin, and oroxylin A) in Huangqin (Scutellaria baicalensis Georgi) potentially overcome resistance of known oncology agents by regulating tumor immunosuppressive microenvironments. In summary, this study offers a novel and effective systems pharmacology infrastructure for potential cancer immunotherapeutic development by exploiting the medical wealth of natural products in TCM.Chuipu CaiQihui WuHonghai HongLiying HeZhihong LiuYong GuShijie ZhangQi WangXiude FanJiansong FangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chuipu Cai Qihui Wu Honghai Hong Liying He Zhihong Liu Yong Gu Shijie Zhang Qi Wang Xiude Fan Jiansong Fang In silico identification of natural products from Traditional Chinese Medicine for cancer immunotherapy
description	Abstract Advances in immunotherapy have revolutionized treatments in many types of cancer. Traditional Chinese Medicine (TCM), which has a long history of clinical adjuvant application against cancer, is emerging as an important medical resource for developing innovative cancer treatments, including immunotherapy. In this study, we developed a quantitative and systems pharmacology-based framework to identify TCM-derived natural products for cancer immunotherapy. Specifically, we integrated 381 cancer immune response-related genes and a compound-target interaction network connecting 3273 proteins and 766 natural products from 66 cancer-related herbs based on literature-mining. Via systems pharmacology-based prediction, we uncovered 182 TCM-derived natural products having potential anti-tumor immune responses effect. Importantly, 32 of the 49 most promising natural products (success rate = 65.31%) are validated by multiple evidence, including published experimental data from clinical studies, in vitro and in vivo assays. We further identified the mechanism-of-action of TCM in cancer immunotherapy using network-based functional enrichment analysis. We showcased that three typical natural products (baicalin, wogonin, and oroxylin A) in Huangqin (Scutellaria baicalensis Georgi) potentially overcome resistance of known oncology agents by regulating tumor immunosuppressive microenvironments. In summary, this study offers a novel and effective systems pharmacology infrastructure for potential cancer immunotherapeutic development by exploiting the medical wealth of natural products in TCM.
format	article
author	Chuipu Cai Qihui Wu Honghai Hong Liying He Zhihong Liu Yong Gu Shijie Zhang Qi Wang Xiude Fan Jiansong Fang
author_facet	Chuipu Cai Qihui Wu Honghai Hong Liying He Zhihong Liu Yong Gu Shijie Zhang Qi Wang Xiude Fan Jiansong Fang
author_sort	Chuipu Cai
title	In silico identification of natural products from Traditional Chinese Medicine for cancer immunotherapy
title_short	In silico identification of natural products from Traditional Chinese Medicine for cancer immunotherapy
title_full	In silico identification of natural products from Traditional Chinese Medicine for cancer immunotherapy
title_fullStr	In silico identification of natural products from Traditional Chinese Medicine for cancer immunotherapy
title_full_unstemmed	In silico identification of natural products from Traditional Chinese Medicine for cancer immunotherapy
title_sort	in silico identification of natural products from traditional chinese medicine for cancer immunotherapy
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/940e7bfa7a8b42bcbd19cf3cb23634a5
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In silico identification of natural products from Traditional Chinese Medicine for cancer immunotherapy

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