Nutraceuticals in the Mediterranean Diet: Potential Avenues for Breast Cancer Treatment.
Giuseppina AugimeriFrancesca Ida MontaltoCinzia GiordanoInes BaroneMarilena LanzinoStefania CatalanoSebastiano AndòFrancesca De AmicisDaniela BonofiglioPublished in: Nutrients (2021)
The traditional Mediterranean Diet constitutes a food model that refers to the dietary patterns of the population living in countries bordering the Mediterranean Sea in the early 1960s. A huge volume of literature data suggests that the Mediterranean-style diet provides several dietary compounds that have been reported to exert beneficial biological effects against a wide spectrum of chronic illnesses, such as cardiovascular and neurodegenerative diseases and cancer including breast carcinoma. Among bioactive nutrients identified as protective factors for breast cancer, natural polyphenols, retinoids, and polyunsaturated fatty acids (PUFAs) have been reported to possess antioxidant, anti-inflammatory, immunomodulatory and antitumoral properties. The multiple anticancer mechanisms involved include the modulation of molecular events and signaling pathways associated with cell survival, proliferation, differentiation, migration, angiogenesis, antioxidant enzymes and immune responses. This review summarizes the anticancer action of some polyphenols, like resveratrol and epigallocatechin 3-gallate, retinoids and omega-3 PUFAs by highlighting the important hallmarks of cancer in terms of (i) cell cycle growth arrest, (ii) apoptosis, (iii) inflammation and (iv) angiogenesis. The data collected from in vitro and in vivo studies strongly indicate that these natural compounds could be the prospective candidates for the future anticancer therapeutics in breast cancer disease.
Keyphrases
- cell cycle
- oxidative stress
- anti inflammatory
- papillary thyroid
- signaling pathway
- immune response
- cell proliferation
- endothelial cells
- electronic health record
- vascular endothelial growth factor
- systematic review
- weight loss
- small molecule
- physical activity
- big data
- human health
- risk assessment
- inflammatory response
- machine learning
- heavy metals
- climate change
- dendritic cells
- epithelial mesenchymal transition
- single molecule
- toll like receptor
- breast cancer risk
- artificial intelligence