Contribution of Sub-Saharan African Medicinal Plants to Cancer Research: Scientific Basis 2013-2023.
Cytotoxicity
medicinal plants
molecular mechanisms
sub-Saharan Africa
Journal
Pharmacological research
ISSN: 1096-1186
Titre abrégé: Pharmacol Res
Pays: Netherlands
ID NLM: 8907422
Informations de publication
Date de publication:
09 Mar 2024
09 Mar 2024
Historique:
received:
15
02
2024
revised:
08
03
2024
accepted:
08
03
2024
medline:
12
3
2024
pubmed:
12
3
2024
entrez:
11
3
2024
Statut:
aheadofprint
Résumé
Cancer incidence and mortality rates are increasing worldwide. Cancer treatment remains a real challenge for African countries, especially in sub-Saharan Africa where funding and resources are very limited. High costs, side effects and drug resistance associated with cancer treatment have encouraged scientists to invest in research into new herbal cancer drugs. In order to identify potential anticancer plants for drug development, this review aims to collect and summarize anticancer activities (in vitro/in vivo) and molecular mechanisms of sub-Saharan African medicinal plant extracts against cancer cell lines. Scientific databases such as ScienceDirect, Google Scholar and PubMed were used to search for research articles published from January 2013 to May 2023 on anticancer medicinal plants in sub-Saharan Africa. The data were analyzed to highlight the cytotoxicity and molecular mechanisms of action of these listed plants. A total of 85 research papers covering 204 medicinal plant species were selected for this review. These plants come from 57 families, the most dominant being the plants of the family Amaryllidaceae (16), Fabaceae (14), Annonaceae (10), Asteraceae (10). Plant extracts exert their anticancer activity mainly by inducing apoptosis and stopping the cell cycle of cancer cells. Several plant extracts from sub-Saharan Africa therefore have strong potential for the search for original anticancer phytochemicals. Chemoproteomics, multi-omics, genetic editing technology (CRISPR/Cas9), combined therapies and artificial intelligence tools are cutting edge emerging technologies that facilitate the discovery and structural understanding of anticancer molecules of medicinal plants, reveal their direct targets, explore their therapeutic uses and molecular bases.
Identifiants
pubmed: 38467241
pii: S1043-6618(24)00082-3
doi: 10.1016/j.phrs.2024.107138
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
107138Informations de copyright
Copyright © 2024. Published by Elsevier Ltd.
Déclaration de conflit d'intérêts
Declaration of Competing Interest All the authors confirm that there is no financial and/or personal interest or belief that could affect their objectivity. All the authors state explicitly that potential competing interests do not exist.