Effects of medicinal plants and natural compounds in models of prostate cancer related to sex steroids: A systematic review.
Rafael Abe da Rocha MirandaMarcela Martins de Paula OliveiraMaria Isadora Gabriel SampaioJoão Victor Dutra GomesDamaris SilveiraEliete Neves da Silva GuerraAdriana Lofrano-PortoCinthia Gabriel MeirelesLuiz Alberto SimeoniPublished in: Phytotherapy research : PTR (2022)
Prostate cancer remains a health problem for men. Targeting androgen (AR) and estrogen (ER) receptors improves the outcomes of the disease, and many medicinal plants exert their effects by modulating these pathways. Therefore, a systematic review was conducted to identify medicinal plants and their natural compounds that may modulate the AR and/or ER pathways in cell and animal models. A search was conducted across EMBASE, LILACS, PubMed, Scopus, and Web of Science, with grey literature from Google SCHOLAR and ProQuest. Two authors independently selected eligible studies based on their titles and abstracts, and a third author resolved conflicts. Then, data from the full text of eligible studies were extracted and synthesized. In total, 75 studies were included. Results showed the effects of several different medicinal plants and natural compounds in reduction of AR and/or ER transcription and translation and AR secondary effects: cell growth reduction, induction of apoptosis, and cell cycle arrest. In animal models, tumor size reduction, increase in apoptosis, and downregulation of AR expression in tumors were also observed. No single phytochemical group concentrating molecules with anti-AR and/or ER activity was identified. Nevertheless, several phytochemical compounds showed potential for future clinical studies in the management of the disease.
Keyphrases
- cell cycle arrest
- prostate cancer
- estrogen receptor
- cell death
- endoplasmic reticulum
- oxidative stress
- public health
- pi k akt
- radical prostatectomy
- signaling pathway
- healthcare
- case control
- endoplasmic reticulum stress
- systematic review
- mental health
- poor prognosis
- transcription factor
- single cell
- cell therapy
- cell proliferation
- health information
- multiple sclerosis
- human health
- smoking cessation
- binding protein
- electronic health record
- adipose tissue
- risk assessment
- machine learning
- drug delivery
- cancer therapy
- long non coding rna
- social media
- insulin resistance
- bone marrow