| Literature DB >> 31277273 |
Paola De Cicco1, Maria Valeria Catani2, Valeria Gasperi2, Matteo Sibilano2, Maria Quaglietta2, Isabella Savini3.
Abstract
Breast cancer (BC) is the second most common cancer worldwide and the most commonly occurring malignancy in women. There is growing evidence that lifestyle factors, including diet, body weight and physical activity, may be associated with higher BC risk. However, the effect of dietary factors on BC recurrence and mortality is not clearly understood. Here, we provide an overview of the current evidence obtained from the PubMed databases in the last decade, assessing dietary patterns, as well as the consumption of specific food-stuffs/food-nutrients, in relation to BC incidence, recurrence and survival. Data from the published literature suggest that a healthy dietary pattern characterized by high intake of unrefined cereals, vegetables, fruit, nuts and olive oil, and a moderate/low consumption of saturated fatty acids and red meat, might improve overall survival after diagnosis of BC. BC patients undergoing chemotherapy and/or radiotherapy experience a variety of symptoms that worsen patient quality of life. Studies investigating nutritional interventions during BC treatment have shown that nutritional counselling and supplementation with some dietary constituents, such as EPA and/or DHA, might be useful in limiting drug-induced side effects, as well as in enhancing therapeutic efficacy. Therefore, nutritional intervention in BC patients may be considered an integral part of the multimodal therapeutic approach. However, further research utilizing dietary interventions in large clinical trials is required to definitively establish effective interventions in these patients, to improve long-term survival and quality of life.Entities:
Keywords: breast cancer; diet; food; nutrients; prevention
Year: 2019 PMID: 31277273 PMCID: PMC6682953 DOI: 10.3390/nu11071514
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Breast cancer sub-types and relative prevalence. TNBC: triple negative breast cancer [12].
Possible effects of dietary factors on BC risk.
| Study | Results | Reference | |
|---|---|---|---|
| Fruits, vegetables | Meta-analysis (15 prospective studies) | RR = 0.89 (95% CI, 0.80–0.99, | [ |
| Prospective study (75,929 women, 38–63 years, 24 years follow-up) | RR = 0.82 (95% CI, 0.71–0.96, | [ | |
| Prospective study (31,000 women, 36–64 years, 11.25 years follow-up) | HR = 0.70 (95% CI, 0.57–0.86, | [ | |
| Red meat | Meta-analysis (13 cohort, 3 case-control, 2 clinical trials) | RR = 1.06 (95%CI, 0.99–1.14) unprocessed red meat, highest | [ |
| Cohort study (262,195 women, 7 years follow-up) Meta-analysis | HR = 1.21 (95% CI, 1.08–1.35, | [ | |
| Dietary Fat | Randomized controlled trial (48,835 post-menopausal women, 8.1 years follow-up) | HR = 0.91 (95% CI, 0.83–1.01, NS) intervention group | [ |
| Meta-analysis (cohort + case-control studies) | RR = 1.091 (95% CI, 1.001–1.184) cohort PUFA | [ | |
| Systematic review (18 studies) | 45–78% increased risk of death with increased intake of | [ | |
| EPIC study (337,327 women, 11.5 years follow-up) | HR = 1.20 (95% CI, 1.0–1.45, | [ | |
| Meta-analysis (6 cohort studies + 3 case-control studies) | RR = 1.29 (95% CI, 1.06–1.56), highest | [ | |
| Dairy products | Pooled analysis (8 prospective cohort studies) (351,041 women, 15 years follow-up) | NS | [ |
| Meta-analysis (18 prospective cohort studies, | RR = 0.91 (95% CI, 0.80–1.02, | [ | |
| Meta-analysis (22 cohort + 5 case-control studies) | RR = 0.90 (95% CI, 0.83–0.98, | [ | |
| Carbohydrate, Glycaemic Index | Meta-analysis (19 prospective studies) | RR = 1.04 (95% CI, 1.00–1.07, | [ |
| Soy products, isoflavones | Meta-analysis (14 case-control + 7 cohort studies) | RR = 0.75 (95% CI, 0.59–0.95, | [ |
| Meta-analysis (1 cohort + 7 case-control studies) | OR = 0.71 (95% CI, 0.60–0.85, | [ | |
| Meta-analysis (18 prospective studies) | RR = 0.89 (95% CI, 0.79–0.99, | [ |
RR: multivariable-adjusted relative risk; HR: adjusted hazard ratio; OR: odds ratio; CI: confidence intervals; NS: not significant; PUFA: poly unsaturated fatty acids; ER: estrogen receptor; PR: progesterone receptor; HER2: human growth factor-neu receptor; BC: breast cancer; EPIC: European Prospective Investigation into Cancer and Nutrition.
Summary of the evidence (described in Section 5) on nutritional interventions to enhance BC treatment.
| Study | Intervention | Results | Reference | |
|---|---|---|---|---|
| ω-3 PUFAs | Phase II clinical trial ( | 1.8 g DHA/day anthracycline | Improvement of chemo-therapy outcome: median TTP = 6 months (95% CI, 2.8–8.7 months); median OS = 22 months (95% CI, 17–33 months) | [ |
| Pilot study ( | 4 g/day EPA + DHA for 3 months AI therapy | Inhibition of bone resorption in the fish oil responders | [ | |
| Controlled clinical trial ( | 3.3 g/day ω3 PUFA (560 mg EPA + DHA, 40:20 ratio) 24 weeks AI therapy | Reduction of arthralgia (4.36 | [ | |
| Controlled clinical trial ( | EPA (0.19 g/day) + DHA (1.04 g/day) paclitaxel | Reduction of paclitaxel-induced peripheral neuropathy incidence (OR = 0.3; 95% CI, 0.10–0.88, | [ | |
| Green tea | Prospective cohort study ( | Regular consumption of green tea | Inverse association between regular green tea consumption (≥3 cups/day) and BC recurrence for stage I/II patients (HR = 0.69; 95% CI, 0.47–1.00, | [ |
| Prospective cohort study ( | Regular consumption of green tea | Inverse association between regular green tea consumption (≥5 cups/day) and BC recurrence for stage I/II patients (RR = 0.564; 95% CI, 0.350–0.911, | [ | |
| Prospective cohort study ( | Regular consumption of green tea | Reduced risk of total mortality (HR = 0.57; 95% CI: 0.34–0.93) and recurrence (HR = 0.54; 95% CI: 0.31–0.96) for the first 60-month post-diagnosis period | [ | |
| Vitamin C | Controlled clinical trial ( | Vitamin C (500 mg) and E (400 mg) +tamoxifen (10 mg twice a day) for 90 days | Decrease of total cholesterol, TG, VLDL ( | [ |
| Controlled clinical trial ( | Vitamin C (500 mg) and E (400 mg) + 5-fluorouracil (500 mg/m2) + doxorubicin (50 mg/m2) + cyclophosphamide (500 mg/m2) (every 3 weeks for six cycles) | Increase of SOD, CAT, GST, GPx, GSH ( | [ | |
| Vitamin E | Prospective cohort study ( | Vitamin E (400 mg) + tamoxifen (20 mg daily) for 30 days | Vitamin E supplement interferes with the therapeutic effects of tamoxifen (increase expression of biomarkers of estrogen-stimulation (ER, PR, p-ERK in breast biopsies) | [ |
| Vitamin D | Prospective cohort study ( | Calcium (1 g) + vitamin D3 (800 IU/d and additional 16,000 IU, every 2 weeks) + AI therapy for 1 year | Reduction of AI-associated lumbar spine bone loss: 1.70% (95% CI, 0.4–3.0%; | [ |
| Prospective cohort study ( | 50,000 IU/week + AI therapy for 12 weeks | Decrease of disability from joint pain (52 | [ |
AI: aromatase inhibitor; BC: breast cancer; BFI: big five inventory; CAT: catalase; DHA: docosahexaenoic acid; EPA: eicosapentaenoic acid; ER: estrogen receptor; GPx: glutathione peroxidase; GSH: reduced glutathione; GST: glutathione transferase; HDL: high density lipoprotein; HR: hazard ratio; LDL: low density lipoprotein; MDA: malondialdehyde; MENQOL: menopause-specific quality of life; NS: not significant; OS: overall survival; p-ERK: phosphorylated extracellular signal–regulated kinase; PR: progesterone receptor; PUFA: poly unsaturated fatty acids; RR: relative risk; SOD: superoxide dismutase; TG: triglycerides; TTP: time to progression; VLDL: very low density lipoprotein; 25OHD: 25-hydroxycholecalciferol.
Figure 2Main findings on breast cancer risk [19]. Red circle: direct correlation. Green circle: inverse correlation. Strong evidence: continuous line. Limited, but suggestive, evidence: dotted line. Convincing evidence: bold. Probable evidence: italic.