| Literature DB >> 23349849 |
Chang Hui1, Xie Qi, Zhang Qianyong, Peng Xiaoli, Zhu Jundong, Mi Mantian.
Abstract
BACKGROUND: Studies have suggested the chemopreventive effects of flavonoids on carcinogenesis. Yet numbers of epidemiologic studies assessing dietary flavonoids and breast cancer risk have yielded inconsistent results. The association between flavonoids, flavonoid subclasses (flavonols, flavan-3-ols, etc.) and the risk of breast cancer lacks systematic analysis.Entities:
Mesh:
Substances:
Year: 2013 PMID: 23349849 PMCID: PMC3548848 DOI: 10.1371/journal.pone.0054318
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Structures of six flavonoid subclasses.
Flavonoid subclasses, food sources and intakes [14].
| Flavonoid subclasses | Example compounds | Major dietary sources | Estimated daily intakes |
| Flavonols | Quercetin, kaempferol, myricetin, and isorhamnetin | Onions, broccoli, tea, and various fruits | mg/d12.9 |
| Flavones | Luteolin, apigenin, and tangeretin | Herbs (especially parsley), celery, and chamomile tea | 1.6 |
| Flavanones | Naringenin, hesperetin | Citrus fruit including oranges and grape fruit | 14.4 |
| Flavan-3-ols | Catechin, epicatechin, epigallocatechin | Cocoa or dark chocolate, apples, grape, red wine, and green tea | 156.9 |
| Anthocyanidins | Cyanidin, delphinidin, pelargonidin, andmalvidin | Colored berries and other fruit, especially cranberries, black currants, and blueberries | 3.1 |
| Isoflavones | Genistein, daidzein, and glycitein | Soy products including fermented products, eg, tofu, tempeh, miso, and soy protein isolate | 1.2 (US and Netherlands) 25–50 (Asia) |
Characteristics of the included studies.
| Author, year and region | Study design | Mean follow-up | Cases/controls | Assessment of exposure | Flavonoids exposure and media of intake | OR or RR(95% CI) | Adjustments | ||
| (year) | (mg/d) | Total | Premenopausal | Postmenopausal | |||||
| Wang L 2009, U.S.A | Cohort | 1995–2007 | 1351 (38408) | SFFQ, Databases published in US and Europe | Total flavonoids(19.13) | 1.03(0.85 1.25) | age, race, energy intake, menopausal status, hormone replacement therapy, intake of fruit and vegetables et al. | ||
| Arts ICW 2002,U.S.A | Cohort | 1986–1998 | 1069 (34651) | SFFQ, Database from Netherlands | Flavan-3-ols(14.8) | 1.04(0.84 1.28) | age, education level, race, multivitamin use, menopausal status, BMI, energy intake, smoking habit, physical activity. | ||
| Adebamowo CA 2005, U.S.A | Cohort | 1991–1999 | 710 (90630) | FFQ, Databasepublished inEurope | Flavonols(17.1) | 1.05(0.83 1.34) | age, parity, age at first pregnancy, age at menarche, menopausal status, BMI, energy intake, alcohol consumption, height, smoking, et al. | ||
| Knekt P 2002, Finland | Cohort | 1967–1994 | 125 (4647) | QFIQ, Databases published in Finland | Total flavonoids(24.2) | 1.23(0.72 2.10) | age, geographic area, occupation, smoking, BMI | ||
| Goldbohm 1998, Netherlands | Cohort | 1986–1991 | 605(2 203) | SFFQ, Database from Netherlands | Total flavonoids(29.1) | 1.02(0.72 1.44) | age, education level, race, multivitamin use, menopausal status, BMI, energy intake, smoking habit. | ||
| Knekt P 1997, Finland | Cohort | 1967–1991 | 87 (4699) | QFIQ, Databasepublished inNetherland | Total flavonoids(nd) | 0.72(0.36 1.48) | sex, age, geographic area, occupation, BMI, energy intake, smoking, vit C and E, cholesterol, β-carotene, fiber, SFA, MUFA,PUFA | ||
| Luo JF 2010, Shanghai China | Nested case-control | 1997–2004 | 352/701 | Urinary excretion analysis | Flavonols(nd) Flavan-3-ols(nd) | 1.04(0.73 1.48)1.12(0.77 1.63) | age, education, age at menarche, age at 1st live birth, months of breastfeeding, smoking, et al. | ||
| Dai Q 2002, Shanghai China | Population- based case-control | 1996–1998 | 250/250 | Urinary excretion analysis | Flavanones(nd) | 1.04(0.66 1.63) | 1.53(0.77 3.04) | 0.79(0.41 1.51) | age at first live birth, ever diagnosed with fibroadenoma, total meat intake, and physical activity level. |
| Luisa TS 2008, Mexico | Hospital- based case-control | 1994–1996 | 141/141 | SFFQ, Databases published in Mexico | Flavonols(27.8) Flavones(2.5) Flavan-3-ols(7.9) | 0.48(0.21 1.08) 0.60(0.27 1.37) 0.80(0.38 1.70) | 0.49(0.19 1.23) 0.49(0.19 1.29) 1.22(0.48 3.08) | 0.21(0.07 0.60) 0.29(0.10 0.82) 0.63(0.25 1.62) | age, energy intake, lifetime lactation |
| Fink BN 2007, New York | Population- based case-control | 1996–1997 | 1434/1440 | FFQ, Database from USDA | Total flavonoids Flavonols(9.8) Flavones(0.13) Flavan-3-ols(162) Flavanones(31.2) Anthocyanidins(3.15) | 0.88(0.69 1.12) 0.75(0.59 0.95) 0.73(0.57 0.93) 0.85(0.67 1.08) 0.89(0.70 1.12) 0.91(0.72 1.15) | 1.12(0.72 1.74) 1.38(0.88 2.15) 1.07(0.70 1.65) 1.21(0.78 1.86) 0.80(0.53 1.21) 1.08(0.71 1.63) | 0.75(0.56 1.01) 0.54(0.40 0.73) 0.61(0.45 0.83) 0.74(0.55 0.99) 1.00(0.75 1.34) 0.85(0.64 1.14) | age,energy intake. |
| Bosetti C 2005, Italy | Hospital- based case-control | 1991–1994 | 2569/2588 | FFQ, Database from USDA | Flavonols(18.6) Flavones(0.5) Flavan-3-ols(36.4) Flavanones(33.7) Anthocyanidins(10.4) | 0.80(0.66 0.98) 0.81(0.66 0.98) 0.86(0.71 1.05) 0.95(0.79 1.15) 1.09(0.87 1.36) | 0.90(0.80 1.02) 0.87(0.76 0.99) 0.94(0.85 1.05) 0.98(0.85 1.13) 1.14(1.00 1.31) | 0.97(0.89 1.05) 0.90(0.81 1.00) 0.92(0.84 1.00) 0.93(0.82 1.05) 1.04(0.93 1.17) | age,study center, education, parity, alcohol consumption, nonalcohol energr intake. |
| Peterson J 2003, Athens, Greece | Hospital- based case-control | 1989–1991 | 820/1548 | SFFQ, Database from USDA | Flavonols(19.4) Flavones(0.4) Flavan-3-ols(23.5) Flavanones(33.5) Anthocyanidins(20.9) | 0.91(0.78 1.06) 0.87(0.77 0.97) 0.93(0.78 1.11) 0.96(0.87 1.07) 0.94(0.81 1.09) | age, place of birth, parity, age at first pregnancy, age at menarche, menopausal status, BMI, energy intake, alcohol consumption. |
BMI: body mass index; 95% CI: 95% confidence intervals; FFQ: food frequency questionnaire; nd: no detection; QFIQ: quantitative food intake questionnaire; SFFQ: semiquantitative food frequency questionnaire; USDA: U.S.Department of Agriculture; SFA: saturated fatty acids, MUFA: monounsaturated fatty acids, PUFA: polyunsaturated fatty acids.
Figure 2Meta-analysis of studies examining association between flavonoids consumption and risk of breast cancer.
Results of stratified analyses by menopausal status.
| Menopause status | Summary RR(95% CI) | P for heterogeneity | I2, % |
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| |||
| Pre-menopause | 0.92 (0.82 1.03) | 0.081 | 60.3 |
| Post-menopause | 0.92 (0.85 0.99) | 0.000 | 90.4 |
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| Pre-menopause | 0.88 (0.77 1.00) | 0.323 | 11.5 |
| Post-menopause | 0.86 (0.77 0.94) | 0.008 | 79.3 |
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| Pre-menopause | 0.96 (0.86 1.06) | 0.000 | 0.474 |
| Post-menopause | 0.90 (0.83 0.98) | 0.286 | 20.2 |
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| Pre-menopause | 0.98 (0.86 1.11) | 0.281 | 21.3 |
| Post-menopause | 0.94 (0.84 1.05) | 0.791 | 0.0 |
Figure 3Funnel plot of flavonoids consumption and risk of breast cancer.