Tea consumption and breast cancer risk in a cohort of women with family history of breast cancer.
Dong-Yu ZhangHazel B NicholsMelissa TroesterJianwen CaiJeannette T BensenDale P SandlerPublished in: International journal of cancer (2020)
Laboratory studies have observed chemopreventive effects of black and green tea on breast cancer development, but few epidemiologic studies have identified such effects. We investigated the association between tea consumption and breast cancer risk using data from 45,744 U.S. and Puerto Rican women participating in the Sister Study. Frequency and serving size of black and green tea consumption were measured at cohort enrollment. Breast cancer diagnoses were reported during follow-up and confirmed by medical record review. Multivariable Cox proportional hazards regression was used to estimate hazard ratios (HR) and 95% confidence intervals (CI). We further investigated potential variation according to estrogen receptor (ER) status, menopausal status and body mass index (BMI). Overall, 81.6 and 56.0% of women drank black or green tea, respectively. A total of 2,809 breast cancer cases were identified in the cohort. The multivariable model suggested an inverse association between black (≥5 vs. 0 cups/week: HR = 0.88, 95% CI 0.78, 1.00, p-trend = 0.08) and green tea (≥5 vs. 0 cups/week: HR = 0.82, 95% CI 0.70, 0.95, p-trend < 0.01) consumption and breast cancer risk. We did not observe differences by ER characteristics, menopausal status or BMI. In conclusion, our study suggests drinking at least five cups of green or black tea per week may be associated with decreased breast cancer risk.
Keyphrases
- breast cancer risk
- estrogen receptor
- body mass index
- healthcare
- weight gain
- total hip arthroplasty
- adipose tissue
- pregnant women
- breast cancer cells
- atomic force microscopy
- metabolic syndrome
- clinical trial
- physical activity
- endoplasmic reticulum
- insulin resistance
- skeletal muscle
- risk assessment
- case control
- young adults
- placebo controlled
- mass spectrometry
- weight loss
- data analysis
- double blind
- childhood cancer