Potential Therapeutic Targets of Quercetin in the Cutaneous Melanoma Model and Its Cellular Regulation Pathways: A Systematic Review

黑色素瘤 概念化 转移 医学 癌症研究 免疫疗法 癌症 生物信息学 生物 计算机科学 内科学 人工智能
作者
Mariana Teixeira Santos Figueiredo Salgado,Estela Fernandes e Silva,Mariana Amaral do Nascimento,Alessandra Costa Lopes,Luciana Souza de Paiva,Ana Paula de Souza Votto
出处
期刊:Nutrition and Cancer [Informa]
卷期号:75 (9): 1687-1709 被引量:3
标识
DOI:10.1080/01635581.2023.2241698
摘要

AbstractMelanoma is a skin cancer with a high mortality rate due to its invasive characteristics. Currently, immunotherapy and targeted therapy increase patient survival but are ineffective in the advanced stages of the tumor. Quercetin (Que) is a natural compound that has demonstrated chemopreventive effects against different types of tumors. This review provides evidence for the therapeutic potential of Que in melanoma and identifies its main targets. The Scopus, Web of Science, and PubMed databases were searched, and studies that used free or encapsulated Que in melanoma models were included, excluding associations, analogs, and extracts. As a result, 73 articles were retrieved and their data extracted. Que has multiple cellular targets in melanoma models, and the main regulated pathways are cell death, redox metabolism, metastasis, and melanization. Que was also able to regulate important targets of signaling pathways, such as PKC, RIG-I, STAT, and P53. In murine models, treatment with Que reduced tumor growth and weight, and decreased metastatic nodules and angiogenic vasculature. Several studies have incorporated Que into carriers, demonstrating improved efficacy and delivery to tumors. Thus, Que is a promising therapeutic agent for the treatment of melanoma; however, further studies are needed to evaluate its effectiveness in clinical trials. Author Contributions StatementMariana Salgado: Conceptualization, Methodology, Investigation, Writing - Original draft preparation. Estela Fernandes-Silva: Conceptualization, Methodology, Investigation. Mariana Nascimento: Data Curation, Investigation. Alessandra Lopes: Methodology. Luciana Paiva: Data Curation, Writing - Reviewing and Editing. Ana Votto: Supervision, Writing - Reviewing and Editing.Disclosure StatementNo potential conflict of interest was reported by the authors.Data Availability StatementArticle data is available and will be shared at the request of the corresponding author.Additional informationFundingThis study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brazil (CAPES), Finance Code 001.
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