| Literature DB >> 31540128 |
Itika Arora1, Manvi Sharma2, Trygve O Tollefsbol3,4,5,6,7.
Abstract
Polyphenols are potent micronutrients that can be found in large quantities in various food sources and spices. These compounds, also known as phenolics due to their phenolic structure, play a vital nutrient-based role in the prevention of various diseases such as diabetes, cardiovascular diseases, neurodegenerative diseases, liver disease, and cancers. However, the function of polyphenols in disease prevention and therapy depends on their dietary consumption and biological properties. According to American Cancer Society statistics, there will be an expected rise of 23.6 million new cancer cases by 2030. Due to the severity of the increased risk, it is important to evaluate various preventive measures associated with cancer. Relatively recently, numerous studies have indicated that various dietary polyphenols and phytochemicals possess properties of modifying epigenetic mechanisms that modulate gene expression resulting in regulation of cancer. These polyphenols and phytochemicals, when administrated in a dose-dependent and combinatorial-based manner, can have an enhanced effect on epigenetic changes, which play a crucial role in cancer prevention and therapy. Hence, this review will focus on the mechanisms of combined polyphenols and phytochemicals that can impact various epigenetic modifications such as DNA methylation and histone modifications as well as regulation of non-coding miRNAs expression for treatment and prevention of various types of cancer.Entities:
Keywords: DNA methylation; cancer; epigenetics; histone modifications; microRNA; polyphenols
Mesh:
Substances:
Year: 2019 PMID: 31540128 PMCID: PMC6769666 DOI: 10.3390/ijms20184567
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Health benefits effect of dietary polyphenols. Polyphenols are largely found in fruits, vegetables, spices, and beverages. Most of these compounds are involved in protection against the development of chronic diseases such as cardiovascular diseases (CVDs), neurodegenerative diseases, cancer, diabetes, osteoporosis, and liver diseases.
Figure 2Different classification of polyphenols and their chemical structures. Flavonoids are subdivided into flavonols, flavanones, flavanols, flavones, isoflavones, and anthocyanidins.
Classification of polyphenols, chemical structure, molecular formula and their dietary source availability.
| Polyphenols | Dietary Source | * Chemical Structure | ** Molecular Formula | References |
|---|---|---|---|---|
| Apigenin | Grapefruit, parsley, onion, orange, tea and wheat sprouts |
| C15H10O5 | [ |
| Anacardic Acid | Cashew nuts |
| C22H36O3 | [ |
| Biochanin | Red clove, chickpea, clover sprout and kidney beans |
| C16H12O5 | [ |
| Butein |
| C15H12O5 | [ | |
| Catechin | Green tea, apples, blackberries, dark chocolate and red wine |
| C15H14O6 | [ |
| Cyanidin | Acai berry, bilberry, blackberry, cranberry and raspberry |
| C15H11O6+ | [ |
| Curcumin (CUR) | Turmeric |
| IC21H20O6 or C21H20O6 | [ |
| Caffeic Acid | Coffee and olive oil |
| C9H8O4 | [ |
| Cholorogenic Acid | Pomegranate and berries |
| C16H18O9 | [ |
| Capsaicin | Chili peppers |
| C18H27NO3 | [ |
| Daidzein | Soybeans and tofu |
| C15H10O4 | [ |
| Delphinidin | Cereal grains |
| C15H11CIO7 | [ |
| Diosmetin | Vetch |
| C16H12O6 | [ |
| Ellagic Acid | Blackberries, raspberries and pomegranate |
| C14H6O8 | [ |
| Epicatechin | Milk, chocolates, and commercial reduced fat |
| C15H14O6 | [ |
| Epigallocatechin-3-gallate (EGCG) | Green tea |
| C22H18O11 | [ |
| Gallic Acid | Pomegranate, nuts and green tea |
| C7H6O5 | [ |
| Genistein | Fats, oils, beef, red clover, soybeans, and fava beans |
| C15H10O5 | [ |
| Gnetol |
| C14H12O4 | [ | |
| Hesperidin | Bitter orange, petit grains, orange, lime and lemon |
| C28H34O15 | [ |
| Isoliquiritigenin | Rose petals |
| C15H12O4 | [ |
| Kaempferol | Apples, grapes, tomatoes, green tea, potatoes, onions and broccoli |
| C15H10O6 | [ |
| Licochalcone A | Cranberry |
| C21H22O4 | [ |
| Luteolin | Celery, broccoli, green pepper, parsley, thyme, dandelion, perilla and chamomile tea |
| C15H10O6 | [ |
| Macluraxanthone |
| C23H22O6 | [ | |
| Myricetin | Vegetables, fruits, nuts, berries, tea and red wine |
| C15H10O8 | [ |
| Naringenin | Grapes |
| C15H12O5 | [ |
| Oxyresveratrol |
| C14H12O4 | [ | |
| Peonidin | Cranberries, blueberries, plums, cherries and sweet potatoes |
| C16H13O6+ | [ |
| Piceatannol | Berries, grapes, rhubarb ( |
| C14H12O4 | [ |
| Pterostilbene | Blueberries and grapes |
| C16H16O3 | [ |
| Quercetin | Vegetables, fruits and beverages, spices, soups and fruit juices |
| C15H10O7 | [ |
| Resveratrol | Almonds, blueberries and grapes |
| C14H12O3 | [ |
| Rosemarinic Acid | Rosemary |
| C18H16O8 | [ |
| Rutin | Citrus fruits, apple, berries and peaches |
| C27H30O16 | [ |
| Scopoletin | Vinegar, dandelion and coffee |
| C10H8O4 | [ |
| Silibinin | Milk and artichokes |
| C25H22O10 | [ |
| Tangeretin | Citrus fruits |
| C20H20O7 | [ |
| Taxifolin | Vinegar |
| C15H12O7 | [ |
| Theaflavin | Tea leaves, black tea and oolong tea |
| C29H24O12 | [ |
| Tricin | Rice bran and sugarcane |
| C17H14O7 | [ |
| Xanthohumol | Hop plants |
| C21H22O5 | [ |
* Chemical structures are drawn using ChemDraw software. ** Molecular formulas obtained through PubChem compound database.
Assessment of polyphenols and their associated epigenetics modifications and molecular mechanisms (in vivo and in vitro studies) in cancer.
| Dietary Compounds | Epigenetic Modifications | Gene Targets | * Overall Role in Cancer Progression | Dose | In Vitro Model | In Vivo Model | References |
|---|---|---|---|---|---|---|---|
| Apigenin | DNMT1 inhibitor DNMT3a inhibitor DNMT3b inhibitor | ↓ Viability | 20–30 μM | Pancreatic cancer | Mouse | [ | |
| Curcumin | DNMT inhibitor |
| ↓ Proliferation | 40 μM | Breast cancer (MCF-7 cells) | [ | |
| Daidzein | DNMT inhibitor |
| ↓ Proliferation | 200–600 μM | Colorectal cancer | [ | |
| Delphinidin | DNMT inhibitor | ↓ Cell Proliferation | 3–90 μM | Prostate cancer (PC3 cells) | Athymic nude mice | [ | |
| Myricetin | DNMT inhibitor |
| ↑ Apoptosis | 20–40 μM | Gastric cancer (GC HGC-27, SGC7901 cells) | [ | |
| Ellagic Acid | DNMT1 inhibitor | ↑ Apoptosis | 50–200 μM | Colorectal cancer | [ | ||
| EGCG | DNMT inhibitor | ↓ Invasiveness | 1–40 μM | Breast cancer (MCF-7 cells) | Xenograft mice | [ | |
| Hesperidin | DNMT inhibitor |
| ↓ Cell proliferation | 40–90 μM | Breast cancer (MCF-7, MDA-MB-231 Cells) | Xenograft mice | [ |
| Kaempferol | DNMT3a inhibitor | ↑ Apoptosis | 100 μM | Liver cancer (SK-HEP-1 cells) | Athymic mice | [ | |
| Luteolin | DNMT inhibitor |
| ↑ Apoptosis | 20–50 μM | Esophageal cancer | Xenograft Mice | [ |
| Pterostilbene | DNMT inhibitor | ↑ Apoptosis | 25–75 μM | Breast cancer (MCF-7 and MDA-MB-231 cells) | Mice | [ | |
| Polyphenol- rich Strawberry extract (PRSE) | ↓ Cellular Viability | 0.5–5 mg/mL | Breast Cancer (MCF-7 and A-17 cells) | Mice | [ | ||
| Genistein | DNMT1 inhibitor | ↓ Proliferation | 25–75 μM | Lung cancer (H446 cells) | Agouti mice | [ | |
| Gallic Acid | DNMT1 inhibitor |
| ↑ Apoptosis | 200 μM | Colorectal cancer | [ | |
| Naringenin | DNMT1 inhibitor |
| ↑ Apoptosis | 100 M μM | Lung cancer (A549 cells) | Resection mice | [ |
| Piceatannol | DNMT3a inhibitor | ↑ Apoptosis | 30 μM | Colorectal cancer (HCT116 and HT29 cells) | Mice | [ | |
| Quercetin | DNMT1 inhibitor | ↓ Proliferation | 1–200 μM | Liver cancer (HepG2 and SMCC-7721 cells) | Mice | [ | |
| Xanthohumol | DNMT inhibitor |
| ↑ Apoptosis | 14–42 μM | Lung cancer (A549 cells) | Transgenic Mice | [ |
| Sulforaphane | DNMT3a inhibitor |
| ↓ Proliferation | 50 μM | Colorectal cancer | Xenograft Mice | [ |
| Resveratrol | DNMT3a inhibitor |
| ↓ Proliferation | 50–150 μM | Breast cancer (MCF-7 cells) | Xenograft Mice | [ |
*↓- decreased, ↑- increased.
Impact of combinatorial therapy (polyphenols, phytochemicals, and anti-cancer drugs) on epigenetic modifications and molecular mechanisms (in vivo and in vitro studies) in cancer.
| Combinatorial Therapy | Organ of Study | In Vitro Model | In Vivo Model | *Epigenetic Modifications and Molecular Mechanism | References | ||
|---|---|---|---|---|---|---|---|
| Cell Lines | Dose | ||||||
| Apigenin + IFNγ | Cervical cancer | HeLa and SiHa cells | 5–15 μM + 100 ng/mL | ↓ Cell viability | [ | ||
| Apigenin + Paclitaxel | Ovarian cancer | HeLa, A549, Hep3B and HEK293A cells | 15 µM + 4 nM | Apoptosis through suppressing SOC activity | [ | ||
| Apigenin + Cisplatin | Renal cancer | Human renal proximal tubular epithelial (HK-2) cells | 5–20 µM + 40 µM | Apigenin reduced cisplatin-induced caspase-3 activity and PARP cleavage | [ | ||
| Prostate cancer | PC3 PCa cells | 15 μM + 7.5 µM | Upregulation of | [ | |||
| Apigenin + doxorubicin | Lymphoid leukemia | CCRF, CEM, Jurkat and THP-1 cells | 0.01 μM + 0.4 μM | ↑ caspase-3 activity | [ | ||
| Apigenin + etoposide | ↑ | [ | |||||
| Apigenin + Naringenin | Colon cancer | Mice | 0.1 μM + 0.05 μM | ↑ ER-mediated YAMC cell growth | [ | ||
| Apigenin + Gemcitabine | Pancreatic cancer | MiaPaca-2, AsPC-1 cell lines | 30 μM + 05–2 μM | Xenograft mice model | Down-regulation of NF-κB activity | [ | |
| Curcumin + Resveratrol | Prostate cancer | PTEN-CaP8 cancer cells | B6C3F1/J mice | ↓ p- | [ | ||
| Curcumin + Catechins | Colon cancer | DMH rat model | 0.1% + 0.1% | ↑ Apoptotic index | [ | ||
| Curcumin + Piperine | Breast cancer | MCF-7 and Sum159 cells | 5–25 μM + 5–25 µM | Inhibit mammosphere formation | [ | ||
| Curcumin + Paclitaxel | Breast cancer | MDA-MB-231 cells | 10 μM + 10 µM | Nude mice model | 100 mg/kg + 7 mg/kg | Inhibition of tumor cell growth | [ |
| Curcumin + Arctigenin + Green tea + Epigallocatechin gallate (EGCG) | Prostate cancer | LNCaP cells | 5–10 μM + 1 μM + 40 μM | ↑ Apoptosis | [ | ||
| Breast cancer | MCF-7 cells | 5–10 μM + 1 μM + 40 μM | |||||
| Curcumin + Epigallocatechin gallate (EGCG) | Non-small lung cancer | A549 and NCI-H460 cells | 10 μmol/L +10 μmol/L | ↓ Tumor size | [ | ||
| Prostate cancer | LNCaP, DU145 and PC3 cells | 50 μM + 100 µM | ↑ p21 expression | ||||
| Curcumin + Dasatinib | Colon cancer | HCT-116, HT-29 and SW-620 | APCMin+/− mice | ↓ Cell proliferation | [ | ||
| Curcumin + TRAIL | Prostate cancer | LNCaP cells | PC3 cells | ↑ Apoptosis | [ | ||
| Curcumin + Gemcitabine | Pancreatic cancer | BxPC3, MiaPaCa2 and Panc1 PDAC cells | 100 mg/kg + 25 mg/kg | ↓ Tumor growth | [ | ||
| Genistein + Delphinidin + Alternariol (AOH) | Colon cancer | HT-29 cells | 25 μM + 100 μM + 50 μM | ↑ Cytotoxic effect | [ | ||
| Genistein + Erlotinib | Bladder cancer | A431 cells | 100 μM + 10 nM | Inhibitor of EGFRs | [ | ||
| Genistein + Sulforaphane | Breast cancer | MCF-7 and MDA-MB-231 cells | 5 µM + 10-15 µM | Cell cycle arrest at G1 and G2/M phase | [ | ||
| Genistein + Cisplatin | Breast cancer | MCF-7 and T47D cells | 1 μM + 10 μM | ↓ ROS production | [ | ||
| Genistein + Tamoxifen | 1 μM + 10 μM | ||||||
| Genistein + Paclitaxel | 1 μM + 10 μM | ||||||
| Genistein + Resveratrol | Prostate cancer | Rats | 83 mg/kg + 83 mg/kg | ↓ Tumor growth | [ | ||
| Genistein + Quercetin + Biochanin A | Prostate cancer | PC-3, LNCaP, DU-145 cells | 8.33 μM + 8.33 μM + 8.33 μM | [ | |||
| Genistein + EGCG + quercetin | Prostate cancer | CWR22Rv1 cells | 2.5 μM + 2.5 μM + 2.5 μM | ↑ | [ | ||
| Resveratrol + Thymoquinone | Breast cancer | MCF-7 and T47D cells | 10 μM + 25–300 μM | Balb/C mice | 50 mg/kg + 50 mg/kg per day | ↑ Apoptosis, | [ |
| Resveratrol + Quercetin | Prostate cancer | 22Rν1, DU145 and PC3 cells | TRAMP mice model | 625 mg/kg + 60 mg/kg | ↓ Cell proliferation | [ | |
| Resveratrol + Curcumin + ADR | Ovarian cancer | A2780 cells | 10 μM +2 μM +1 μM | Xenograft model in Athymic mice | 19.68 mg/kg + 26.06 mg/kg + 5mg/kg | ↓ Cell viability | [ |
| Resveratrol + Quercetin + ADR | Ovarian cancer | A2780 cells | 10 μM +10 μM +1 μM | Xenograft model in Athymic mice | 19.68 mg/kg + 5.2 mg/kg + 5mg/kg | ↓ Cell viability | [ |
| Resveratrol + Doxorubicin | Gastric cancer | SGC7901 and MGC803 cell lines | 50 mg/L + 0.75 mg/L | Nude xenograft mice model | 3 mg/kg + 50 mg/kg$ | ↑ expression of caspase 9 | [ |
| Resveratrol + Genistein + Quercetin + Apigenin + Baicalein + Curcumin + EGCG | Prostate cancer | PC3 and LNCaP cells | TRAMP mice model | 1 μmol/L + 20 μmol/l + 10 μmol/L + 3 μmol/L+ 3 μmol/L+ 10 μmol/L+ 10 μmol/L | [ | ||
| Resveratrol + Pomegranate + Orange + Lemon + Olive + Cocoa + Grape seed | Breast Cancer | MCF-7 cells | 53.85 mg + 161.5 mg + 53.85mg + 53.85 mg + 161.5 mg + 161.5 mg + 53.85 mg | ↓ Anti-proliferative activity $↓ Estrogenic estrogenic/anti-esterogenic activity | [ | ||
| EGCG + Sunitinib | Breast cancer | H460, H1975, and MCF-7 cells | 50 μM + 3 μM | Xenograft mice model | 50 mg/kg + 40 mg/kg | Suppression of IRS/MAPK/p-S6K1 signaling | [ |
| Resveratrol + Quercetin + Catechin + Gefitinib | Breast cancer | MDA-MB-231 cells | 15 μM + 15 μM+ 15 μM + 15 μM | SCID mice model | 5 mg/kg +5 mg/kg + 5 mg/kg + 5 mg/kg + 200 mg/kg | ↓Tumor size | [ |
| EGCG + Vitexin-2-O-xyloside + Glucoraphasatin | Breast cancer | MDA-MB-231 cells | (1980 ± 94) μg/mL + (1200 ± 66) μg/mL + (21 ± 6) μg/mL + (350 ± 47) μg/mL + (350 ± 48) μg/mL + (31 ± 4) μg/mL | Induction of apoptosis | [ | ||
| Colorectal cancer | Caco-2 cells | (21 ± 3) μg/mL + (120 ± 9) μg/mL + (16 ± 4) μg/mL + (135 ± 16) μg/mL + (158 ± 13) μg/mL + (36 ± 5) μg/mL | |||||
| EGCG + NAC | Lung cancer | H1299 cells | 100 μM + 2 mM | CL13 mice | ↑ Apoptosis | [ | |
| EGCG + Pterostilbene | Pancreatic cancer | PANC-1 and MIA-Pa-Ca-2 cells | 20–40 μM + 30 μM | ↓ Cell proliferation | [ | ||
| EGCG + TRAIL | Pancreatic cancer | MIA-Pa-Ca-2 cells | 50 μg/mL + 5 ng/mL | ↑ Apoptosis | [ | ||
| EGCG + 5- Fluorouracil | Colorectal cancer | HCT-116 and SW480 cells | 25–400 μM + 2.5–40 μM | Xenograft mice model | ↓ miR-34a, miR-145, and miR-200c | [ | |
| EGCG + 5- Fluorouracil | Colorectal cancer | HCT-116 and SW480 cells | 25–400 μM + 2.5–40 μM | Xenograft mice model | ↓ miR-34a, miR-145, and miR-200c | [ | |
| Sulforaphane + Green tea polyphenols (GTPs) | Breast cancer | MDA-MB-231 cells | 5–10 μM + 20 µg/mL | Reactivation of Tumor suppressor genes (TSGs) | [ | ||
| Sulforaphane + Withaferin-A | Breast cancer | MCF-7 and MDA-MB-231 cells | 5 μM + 10 μM | ↓ | [ | ||
| Sulforaphane + Curcumin | Liver cancer | HepG2-C8 cells | Low dose: 12.5 μM + 10 μM | ↑ ARE-luciferase activity | [ | ||
| Sulforaphane + EGCG | Prostate cancer | PC-3-AP-1 cells | Low Dose: 25 μmol/L +20 μmol/L | 45 mg/kg + 100 mg/kg | Inhibition of AP-1 activity | [ | |
| Ovarian cancer | SKOV-ip1 and SKOVTR-ip2 cells | 10 μM + 20 μM | ↑ Expression of | [ | |||
| Colon cancer | HT-29 cells | Low Dose: 25 μM + 20 μM | ↓ Cell viability | [ | |||
| Sulforaphane + Acetazolamide (AZ) | Urothelial cancer | HTB-9 and RT112(H) cells | 40 μM + 40 μM | ↑ Apoptosis | [ | ||
| Sulforaphane + Docetaxel + Paclitaxel | Breast cancer | SUM149 and SUM159 cells | 5 μM + 0–20 μM | Xenograft mice model | 50 mg/kg daily + 10 mg/kg weekly | ↓ Tumor growth | |
↓- decreased, ↑ - increased.