Literature DB >> 31710893

Antitumor effects of immunity-enhancing traditional Chinese medicine.

Yeshu Wang1, Qunfang Zhang1, Yuchao Chen1, Chun-Ling Liang1, Huazhen Liu1, Feifei Qiu1, Zhenhua Dai2.   

Abstract

Traditional Chinese Medicine (TCM) has been traditionally used to treat patients with cancers in China. It not only alleviates the symptoms of tumor patients and improves their quality of life, but also controls the size of tumors and prolongs the survival of tumor patients. While some herbs of TCM may exert therapeutic effects by directly targeting cancer cells or reducing side effects caused by antitumor drugs, others can control tumor growth and metastasis via enhancing antitumor immunity. In particular, TCM can exert antitumor effects by upregulating immune responses even in immunosuppressive tumor microenvironment. For instance, it reduces the number of M2-type macrophages and Treg cells in the tumor tissue. Although extensive reviews on directly killing cancer cells by TCM have been conducted, a review of anticancer activity of TCM solely based on its immunity-enhancing capacity is unusual. This review will summarize research progress of antitumor TCM that regulates the immune system, including both innate immunity, such as macrophages, dendritic cells, natural killer cells and MDSCs, and adaptive immunity, including CD4+/CD8+ T lymphocytes, regulatory T cells (Tregs) and B cells. As cancer immunotherapy has recently achieved certain success, it is expected that the clinical applications of immunity-enhancing TCM or traditional medicine for treating various cancer patients will be expanded. Further studies on the mechanisms by which TCM regulates immunity will provide new insights into how TCM controls tumor growth and metastasis, and may help improve its therapeutic effects on various cancers in clinic.
Copyright © 2019 The Author(s). Published by Elsevier Masson SAS.. All rights reserved.

Entities:  

Keywords:  Adaptive immunity; Antitumor immunity; Cancer; Innate immunity; Traditional Chinese medicine

Mesh:

Substances:

Year:  2019        PMID: 31710893     DOI: 10.1016/j.biopha.2019.109570

Source DB:  PubMed          Journal:  Biomed Pharmacother        ISSN: 0753-3322            Impact factor:   6.529


  25 in total

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