Context
Evidence acquisition
Evidence synthesis
Conclusions
Introduction
WHO. Global health risks: mortality and burden of disease attributable to selected major risks, 2009. www.who.int/healthinfo/global_burden_disease/GlobalHealthRisks_report_full.pdf.
WHO. International Agency for research in Cancer. IARC monograph on the evaluation of carcinogenic risks to humans. monographs.iarc.fr/ENG/Monographs/vol86/mono86.pdf.

Dimensions of alcohol consumption | Study; study design | Exposure category | Relative risk (95% CI) | p for trend |
---|---|---|---|---|
Types of alcoholic beverage | For 10 g/day | |||
Allen (2009) 21 ; cohort study | Wine | 1.10 (1.07, 1.14) | ||
Other drinks | 1.12 (1.09, 1.15) | |||
Zhang (2007) 7 ; WHS cohort study | Beer | 1.15 (1.03, 1.28) | Not significant | |
White wine | 1.13 (1.00, 1.27) | |||
Red wine | 1.08 (0.88, 1.34) | |||
Liquor | 1.08 (0.98, 1.19) | |||
Age at start drinking | Liu (2012) 40 ; | Young adulthood (18–22 years) | ||
NHS II cohort study | None | 1.00 (ref) | ||
10 g/day | 1.15 (1.03, 1.28) | |||
≥15 g/day | 1.35 (1.01, 1.81) | 0.03 | ||
Occasional heavy drinking | Chen (2011) 36 ; NHS cohort study | None | 1.00 (ref) | |
1–2 drinks/day in a month | 1.08 (1.02, 1.16) | |||
3–5 drinks/day in a month | 1.16 (1.07, 1.27) | |||
≥6 drinks/day in a month | 1.33 (1.11, 1.59) | <0.001 | ||
Main modifying factors | ||||
Hormones expression | For 10 g/day | p for heterogeneity among studies, 0.09 | ||
Suzuki (2008) 55 ; meta-analysis | ER+ | 1.12 (1.08, 1.15) | ||
ER+PR+ | 1.11 (1.07, 1.14) | |||
ER+PR– | 1.15 (1.02, 1.30) | |||
ER– | 1.07 (1.00, 1.14) | |||
ER–PR+ | 1.04 (0.76, 1.43) | |||
ER–PR– | 1.04 (0.98, 1.09) | |||
Menopausal status | For 10 g/day | |||
Chen (2011) 36 ; NHS cohort study | Premenopausal | 1.08 (1.00, 1.18) | ||
Postmenopausal | 1.07 (1.03, 1.10) | |||
Zhang (2007); WHS cohort study | Premenopausal | 1.12 (0.99, 1.25) | p for interaction, 0.68 | |
Postmenopausal | 1.09 (1.01, 1.16) | |||
Polymorphisms: Ethanol metabolism | Mao (2012) 77 ; meta-analysis | ADH1C (*1 vs *2) | 1.05 (0.96, 1.16) | |
Wang (2012); meta-analysis | ADH1C (*1 vs *2) | 1.01 (0.97, 1.06) | ||
MTHFR (677TT variant) | Ericson (2009) 85 ; cohort study | CC (wild-type) | 1.00 (ref) | |
CT | 1.08 (0.87, 1.35) | |||
TT | 1.14 (0.78, 1.67) | 0.03 | ||
TT (>55 years) | 1.34 (0.81, 2.23) |
Evidence Acquisition
Evidence Synthesis
Dimensions of Alcohol Consumption and Types of Alcoholic Beverage
Dimensions of alcohol consumption
European Commission. European Code Against Cancer. www.europeancancerleagues.org/images/stories/Ann_Oncol-2003-Boyle-973-1005.pdf
Canadian Centre on Substance Abuse. Canada’s low-risk alcohol drinking guidelines. 2012. www.ccsa.ca/Eng/Priorities/Alcohol/Canada-Low-Risk-Alcohol-Drinking-Guidelines/Pages/default.aspx.
Types of alcoholic beverage
Age at start of drinking
Occasional heavy drinking
WHO. Global status report on alcohol and health 2011. http://www.who.int/substance_abuse/publications/global_alcohol_report/en/.
Main Effect Modifiers
Hormone-dependent breast cancer subtypes
Menopausal status
Polymorphisms in Genes Involved in Ethanol Metabolism and Detoxification
Genes regulating alcohol metabolism
Folate and MTHFR interaction
BRCA1/BRCA2 and Hereditary Breast Cancer
Conclusion
Future Perspective
Acknowledgments
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