Natural Products in Cancer Therapy: Past, Present and Future.

Antibody–drug conjugates Cancer therapy Combination therapy Drug discovery Natural products

Journal

Natural products and bioprospecting
ISSN: 2192-2195
Titre abrégé: Nat Prod Bioprospect
Pays: Germany
ID NLM: 101577734

Informations de publication

Date de publication:
Feb 2021
Historique:
received: 15 10 2020
accepted: 15 12 2020
pubmed: 4 1 2021
medline: 4 1 2021
entrez: 3 1 2021
Statut: ppublish

Résumé

Natural products, with remarkable chemical diversity, have been extensively investigated for their anticancer potential for more than a half-century. The collective efforts of the community have achieved the tremendous advancements, bringing natural products to clinical use and discovering new therapeutic opportunities, yet the challenges remain ahead. With remarkable changes in the landscape of cancer therapy and growing role of cutting-edge technologies, we may have come to a crossroads to revisit the strategies to understand nature products and to explore their therapeutic utility. This review summarizes the key advancements in nature product-centered cancer research and calls for the implementation of systematic approaches, new pharmacological models, and exploration of emerging directions to revitalize natural products search in cancer therapy.

Identifiants

pubmed: 33389713
doi: 10.1007/s13659-020-00293-7
pii: 10.1007/s13659-020-00293-7
pmc: PMC7933288
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

5-13

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Auteurs

Min Huang (M)

State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
University of Chinese Academy of Sciences, Beijing, China.

Jin-Jian Lu (JJ)

State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao, China.

Jian Ding (J)

State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China. jding@simm.ac.cn.
University of Chinese Academy of Sciences, Beijing, China. jding@simm.ac.cn.

Classifications MeSH