| Literature DB >> 35631131 |
Alleigh Wiggs1, Sabrina Molina2, Susan J Sumner1,2, Blake R Rushing1,2.
Abstract
Triple-negative breast cancer (TNBC) is a subtype of breast cancer that is notoriously aggressive and has poorer outcomes as compared with other breast cancer subtypes. Due to a lack of targeted therapies, TNBC is often treated with chemotherapeutics as opposed to hormone therapy or other targeted therapies available to individuals with estrogen receptor positive (ER+) breast cancers. Because of the lack of treatment options for TNBC, other therapeutic avenues are being explored. Metabolic reprogramming, a hallmark of cancer, provides potential opportunities to target cancer cells more specifically, increasing efficacy and reducing side effects. Nutrients serve a significant role in metabolic processes involved in DNA transcription, protein folding, and function as co-factors in enzyme activity, and may provide novel strategies to target cancer cell metabolism in TNBC. This article reviews studies that have investigated how nutrients/nutraceuticals target metabolic processes in TNBC cells alone or in combination with existing drugs to exert anticancer effects. These agents have been shown to cause perturbations in many metabolic processes related to glucose metabolism, fatty acid metabolism, as well as autophagy and oxidative stress-related metabolism. With this information, we present the potential of nutrients as metabolism-directed anticancer agents and the potential for using these agents alone or in cocktails as a new direction for TNBC therapy.Entities:
Keywords: breast cancer; metabolic reprogramming; metabolism; metabolomics; nutraceuticals; nutrients; treatment
Mesh:
Substances:
Year: 2022 PMID: 35631131 PMCID: PMC9146055 DOI: 10.3390/nu14101990
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 6.706
Figure 1Metabolic targets of nutrients and nutraceuticals in TNBC cells. Akt, protein kinase B; AS, Antrodia Salmonea, BITC, benzyl isothiocyanate; D3, vitamin D3 (calcitriol); Delta T3, vitamin E delta-tocotrienol; DHA, docosahexaenoic acid; DHAP, dihydroxyacetone phosphate; EGCG, epigallocatechin gallate; GA3P, glyceraldehyde-3-phosphate; GLUT, glucose transporter; HIF-1a, hypoxia inducible factor 1 alpha; ISL, isoliquiritigenin; LDHA, lactate dehydrogenase A; MPC, mitochondrial pyruvate carrier; mTOR, mammalian target of rapamycin; mTORC1, mammalian target of rapamycin complex 1; OAA, oxaloacetate; PI3K, phosphoinositide 3-kinase; PIP3, phosphatidylinositol (3,4,5)-trisphosphate; ROS, reactive oxygen species; SucCoA, succinyl-coenzyme A; TSC1/II, Tuberous sclerosis I/II; 3PG, 3-phosphoglycerate; α-KG, alpha ketoglutarate.
Summary of reviewed studies.
| Reference | Author (Year) | Intervention | Dietary Counterpart | Model | Pathway | Mechanism |
|---|---|---|---|---|---|---|
| 22 | Roy (2019) | Benzyl Isothiocyanate | Mustard Family | MDA-MB-231 cells + Mice | Glycolysis | ↑: GLUT-1 localization, AKT activity |
| 23 | Shrivastava (2015) | Celasterol | Tripterygium wilfordii and Tripterygium regelii | MDA-MB-231 cells | Glycolysis | ↓: AKT activity |
| ↑: apoptosis | ||||||
| 24 | Jin (2019) | Cardamonin | Alpiniae katsumadai | MDA-MB-231 cells + Mice | Glycolysis | ↓: HIF-1a expression, glucose uptake, lactic acid production; |
| ↑: ROS production | ||||||
| 25 | Mouradian (2014) | DHA | DHA | BT-474 and MDA-MB-231 cells | Glycolysis | ↓: HIF-1a expression, LDHA, lactic acid, glucose uptake |
| 26 | Santos (2018) | Calcitriol | Vitamin D3 | MDA-MB-231 and MCF-7 cells | Glycolysis | ↓: GLUT-1 expression, LDHA expression, HKII expression, lactate concentration |
| 30 | Xiao (2016) | Leucine | Amino Acid/Protein | MDA-MB-231 and MCF-7 cells + Mice | Fatty Acid Metabolism | ↓: FAS expression, Sterol Response Element Protein CII, Palmitate |
| 31 | Crous-Maso (2018) | EGCG | Green Tea, fruits | MDA-MB-231 cells | Fatty Acid Metabolism | ↓: FAS expression, palmitate |
| 34 | Schultz (2018) | Anacardic Acid | Cashews | MCF-7 and MDA-MB-231 cells | Fatty Acid Metabolism | ↓: Stearoyl coA desaturase expression |
| 37 | Pizato (2019) | DHA + Vitamin E Delta-T3 | DHA, Vitamin E | MDA-MB-231 cells | Fatty Acid Metabolism | ↑: Lipid droplet lipophagy |
| ↓: Lipid droplet formation | ||||||
| 40 | Vibet (2011) | DHA + Anthracyclines | DHA | MDA-MB-231 and MCF-7 cells + Mice | Oxidative Stress | ↑: GSH accumulation, ROS |
| ↓: GPx activity | ||||||
| 41 | Tran (2015) | Tocotrienols, Tocopherols | Vitamin E | MCF-7 and MDA-MB-231 cells | Autophagy/Apoptosis | ↑: autophagy, apoptosis |
| ↓: mTOR and PI3K activity, cell proliferation | ||||||
| 42 | You (2020) | St. John’s Wort | Hypericum perforatum | MDA-MB-231 cells + Mice | Autophagy/Apoptosis | ↑: pro-death autophagy |
| ↓: mTOR and PI3K phosphorylation | ||||||
| 43 | Lin (2020) | Isoliquiritigenin | Licorice | MDA-MB-231 cells + Mice | Cell Cycle Arrest | ↑: Bax protein expression |
| ↓: mTOR phosphorylation, Cyclin D1 expression, Bcl-1 protein | ||||||
| 44 | Chang (2017) | Antrodia Salmonea | Fungus | MDA-MB-231 cells + Mice | Cell Cycle Arrest | ↑: LC3B-II, caspase-3 |
| ↓: Cyclin B1, cyclin A, cyclin E, CDC2, COX protein expression | ||||||
| 45 | Chang (2017) | Antrodia Salmonea | Fungus | MDA-MB-231 cells + Mice | Oxidative Stress | ↑: LC3-II, AVOs formation, apoptosis |
| ↓: mTOR phosphorylation | ||||||
| 46 | Chen (2021) | Phloretin | Apples | MDA-MB-231 cells | Autophagy/Apoptosis | ↓: LC3-I to LC3-II conversion, ULK1 expression; ↑: mTOR and AMPK phosphorylation, sensitivity to doxorubicin |
| 47 | Hardy (2003) | Saturated Free Fatty Acids | Fatty Acids | MDA-MB-231 cells | Autophagy/Apoptosis | ↑: apoptosis, cytochrome c relase, caspase-3 activity |
| ↓: cell proliferation, mitochondrial membrane potential | ||||||
| 48 | Guo (2015) | Selenium Yeast | Selenium Yeast | MDA-MB-231 and MCF-7 cells | Autophagy/Apoptosis | ↑: apoptosis |
| ↓: disruption of mitochondrial membrane potential |