| Literature DB >> 28424679 |
Manuela Del Cornò1,2, Gloria Donninelli1,2, Lucia Conti1,2, Sandra Gessani1,2.
Abstract
Environmental and lifestyle factors, including diet and nutritional habits have been strongly linked to colorectal cancer (CRC). Of note, unhealthy dietary habits leading to adiposity represent a main risk factor for CRC and are associated with a chronic low-grade inflammatory status. Inflammation is a hallmark of almost every type of cancer and can be modulated by several food compounds exhibiting either protective or promoting effects. However, in spite of an extensive research, the underlying mechanisms by which dietary patterns or bioactive food components may influence tumor onset and outcome have not been fully clarified yet. Growing evidence indicates that diet, combining beneficial substances and potentially harmful ingredients, has an impact on the expression of key regulators of gene expression such as the non-coding RNA (ncRNA). Since the expression of these molecules is deranged in chronic inflammation and cancer, modulating their expression may strongly influence the cancer phenotype and outcomes. In addition, the recently acquired knowledge on the existence of intricate inter-kingdom communication networks, is opening new avenues for a deeper understanding of the intimate relationships linking diet to CRC. In this novel scenario, diet-modulated ncRNA may represent key actors in the interaction between plant and animal kingdoms, capable of influencing disease onset and outcome. In this review, we will summarize the studies demonstrating a link between bioactive food components, including food-derived, microbiota-processed, secondary metabolites, and host ncRNA. We will focus on microRNA, highlighting how this plant/animal inter-kingdom cross-talk may have an impact on CRC establishment and progression.Entities:
Keywords: bioactive food components; colorectal cancer; diet; epigenetic mechanisms; inter kingdom communication; microRNA
Year: 2017 PMID: 28424679 PMCID: PMC5380760 DOI: 10.3389/fmicb.2017.00597
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
Protective versus promoting effects of dietary patterns and components in CRC.
| TUMOR PROTECTIVE/PREVENTIVE EFFECTS | ||||||
|---|---|---|---|---|---|---|
| Resveratrol | SW480 | 22 miR (i.e., miR-146b-5p, -1, -663) | 26 miR (i.e., miR-21, -196a, -25, -17, -92a) | ↓TGFβ signaling, E-cadherin, Dicer ↑ PDCD4, PTEN | ||
| Botanical extract/+ Quercetin | HT29 | miR-27a | ↓Sp-1, -3, -4, survivin ↑ZBTB10 | |||
| + EGCG, α-mangostin, or 5-FU | SW480, DLD1, COLO201 | miR-34a | ↓E2F3, SIRT1 | |||
| Mouse (sporadic CRC) | miR-96 | ↓KRAS | ||||
| Curcumin | +5-FU | RKO, HCT116, SW480, 5FUR Mouse xenograft model | miR-200b, -200c, -141, -429, -34, -101 | miR-21, -27a, -20a, -17-5p | ↓Sp-1, -3, -4, ROS, survivin, Bcl2, EGFR, NF-κB, cyclin D, BMI1, E2H2, SUZ12 ↑ PDCD4, ZBTB4, ZBTB10 | |
| + Boswellic acid | HCT116, SW480 mouse xenograft model | miR-34a | miR-27a | |||
| CDF | HCT116, HT29, SW620 | miR-34a, -34c | miR-21 | ↓Akt, Notch-1 ↑PTEN | ||
| Flavonoids | Cowpea ( | CCD18Co | miR-126 | ↓VCAM | ||
| Yaupon holly ( | HT29, CCD18Co | miR-146a | ↓NF-κB | |||
| Ellagic acid and ellagitannins, urolithins | Pomegranate extract ( | HT29 Rat | miR-126 | ↓VCAM-1, PI3K/Akt, mTOR | ||
| Pomegranate extract ( | Human colon biopsies | General induction of miR attributable to the surgery | miR-646, -1249, -135b-5p/3p, -92b-5p, -765, -496, -181c-3p, -18a-3p | |||
| Caco2, HT29, CCD18Co | miR-215 | miR-224 | ↑CDKN1A | |||
| α-Mangostin | DLD1 | miR-143 | ↓ERK5, c-Myc | |||
| Red wine polyphenolics | CCD18Co | miR-126 | ↓NF-κB, ICAM-1, VCAM-1, PECAM-1 | |||
| Proanthocyanidins | Grape seed extract | Mouse | miR-19a, -20a, -let7a, Snord 68 | miR-205, -135b, -196a, -21, -148a, -103 | ↓NF-κB, COX2, INOS, VEGF ↑Ago2 | |
| Canolol, 4-vinyl-2, 6-dimethoxyphenol | Crude canola oil | Mouse | miR-7 | ↓COX-2/PGE2 | ||
| DHA | SGC7901, BGC823, MGC803, HCT116, HCT8, Caco2, HepG2 | miR-15b, -16, -141-3p, -221-3p, -192, -30c, 1283, -let7f, -181a, -1 | miR-21, -30a | ↓Bcl2 ↑ TNF-α genes related to lipid metabolism and cancer biology | ||
| ω3 PUFA versus ω6 PUFA | Fish oil-pectin diet compare to control corn oil-cellulose diet | AOM-induced mice and rats | miR-10a, -21, -26b, -200a/c, -203, -16, -19b, -27b, -93,- let7d, -15b, -107, -191, -324-5p, -218 | ↓PDE4B, PTK2B, TCF4, IGF1R, BACE1 | ||
| Walnut diet | Mouse xenograft model | miR-297a∗ | miR-1903, -467c, -3068 | |||
| Butyrate | HCT116, HCT29 Human colon biopsies | 18 miR (i.e., miR-106b) | 26 miR (i.e., miR-17-92, -18a/b, -19a/b, -25, -20a) | ↑ PTEN, CDKN1A, CDKN1C, BCL2L11 ↓c-Myc | ||
| Calorie restriction diet (30%) | AOM-induced mice | miR-150, -351, -16-2a, let7f, -34 | miR-155 | |||
| High-fat diet | AOM/DSS-induced mice | miR-425, -196a, -155 | miR-150, -351, -16-2a, -let7f, -34, -138, -143, -145 | ↑c-Myc, KRAS (EGFR-mediated) | ||
| High red meat diet | + Amylose maize starch | Healthy human volunteers | miR-17, -18a, -19a, -20a, -19b, -92a, -21 | ↓ CDKN1A | ||
| 2-amino-1-methyl-6-phenylimidazo [4,5-b] pyridine/HFD | + Dietary spinach | Rat | miR-126, -145, -21 | miR-215, -29c, -98, -let7 family | ↑ SOX2, HMGA2, β-Catenin, Cyclin D1, c-Myc, Lin28A/B ↓p53 | |
| Folate (serum level or exogenously added) | Human subjects, Caco2, HT29, HCT116 | miR-21 | ||||