Abstract 146: WCRF/AICR recommendation adherence and breast cancer incidence among postmenopausal women with non-modifiable risk factors.

Author(s):  
Sarah Oppeneer ◽  
Maki Inoue-Choi ◽  
DeAnn Lazovich ◽  
Kim Robien
2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e13082-e13082
Author(s):  
Yusuke Suzuki ◽  
Hiroko Tsunoda ◽  
Takeshi Kimura ◽  
Hideko Yamauchi

e13082 Background: While obesity is considered the risk factors of breast cancer, Asian women are tends to be lower BMI compared with Western populations and there are not much reports that studied association between obesity and risk of breast cancer in Asian women. In this study, we analyzed the associations of breast cancer incidence and body mass index at age 18-20 (BMI 18-20y), BMI at research entry (BMI at entry), change of the BMI from BMI 18-20y to BMI at entry (BMI change), abdominal girth at research entry (AG), HbA1c [N] at research entry (HbA1c). Methods: We used data of the women who had undergone medical check-ups and opportunistic breast cancer screening at least twice at the Center for Preventive Medicine of St. Luke’s International Hospital between April 1, 2005 and March 31, 2014. Statistical analysis was done by using multivariate Cox proportional hazards model to investigate the hazard ratio (HR) at 95% confidence intervals (95% CI). Results: In this 10 year period, 30,109 women (20,043 women were premenopausal and 10,066 women were postmenopausal women) received opportunistic breast cancer screening at least twice. After analysis of 131656.6 person-years follow up during 10 years, 325 initial breast cancer cases were identified 202 cases in premenopausal women, and 123 cases in postmenopausal women. Among postmenopausal women, BMI change and AG were positively associated with breast cancer incidence. Women whose BMI change were major gain group (> +5.0) were significantly likely to develop breast cancer compared with stable group (BMI change were between -2.5 to +2.5) [HR: 1.902 (95% CI = 1.202-3.009)]. Large AG ( > 90cm) was significant risk to develop breast cancer versus less than 70cm [HR: 2.500 (95% CI = 1.091-5.730)]. In the analysis classified BMI18-20y more and less than 20 kg/m2, large BMI18-20y ( > 20 kg/m2) postmenopausal women with high HbA1c ( > 6.5) was more likely to develop breast cancer compared with low HbA1c ( < 5.5) [HR: 3.325(95% CI = 1.307-8.460)]. Conclusions: Increase of BMI after age of 18-20 years and large AG in postmenopausal women have positive association with breast cancer development. High HbA1c women whose BMI18-20y was over 20 kg/m2 are significantly to develop breast cancer.


2017 ◽  
Vol 35 (28) ◽  
pp. 3230-3239 ◽  
Author(s):  
Agnès Fournier ◽  
Sylvie Mesrine ◽  
Amandine Gelot ◽  
Guy Fagherazzi ◽  
Laura Baglietto ◽  
...  

Purpose To assess whether bisphosphonate (BP) use is associated with decreased breast cancer incidence in a cohort of postmenopausal women. Methods The study population included 64,438 postmenopausal women participating in the French E3N (Etude Epidémiologique auprès de femmes de la Mutuelle Générale de l'Education Nationale) prospective cohort, with data self-reported in biennial questionnaires matched with data from a drug reimbursement database. Exposure to BPs and the use of other osteoporosis treatments during follow-up were determined using reimbursement data. Other covariates (breast cancer risk factors, clinical risk factors for osteoporotic fractures, and bone mineral density surveillance) originated from the questionnaires. Hazard ratios (HRs) of breast cancer were estimated using Cox proportional hazards models, considering exposure as a time-varying variable. Results Over an average of 7.2 years of follow-up (2004 to 2011), 2,407 first primary breast cancer cases were identified. The HR of breast cancer associated with exposure to BPs was 0.98 (95% CI, 0.85 to 1.12). We found no effect modification by age, body mass index, time since menopause, use of hormone replacement therapy, use of calcium supplements, or use of vitamin D supplements. There was no heterogeneity across BP molecules and no trend according to cumulative dose, duration of use, or time since last use. We observed a decrease in breast cancer risk restricted to the year after treatment initiation (HR, 0.56; 95% CI, 0.36 to 0.87), which was likely explained by healthy screenee bias. Finally, we did not find any variation in HRs across breast carcinomas defined by their estrogen receptor or invasive or in situ status. Conclusion In our observational cohort of postmenopausal women observed from 2004 to 2011, BP use, likely prescribed for the management of osteoporosis, was not associated with decreased breast cancer incidence.


Oncotarget ◽  
2019 ◽  
Vol 10 (33) ◽  
pp. 3088-3092 ◽  
Author(s):  
Kathy Pan ◽  
Juhua Luo ◽  
Aaron K. Aragaki ◽  
Rowan T. Chlebowski

2021 ◽  
Vol 66 ◽  
Author(s):  
Hang-Hang Luan ◽  
Li-Sha Luo ◽  
Zhi-Yan Lu

Objectives: This study aimed to estimate the long-term trends of breast cancer incidence in Shanghai, Hong Kong, and Los Angeles (LA).Methods: Data were obtained from Cancer Incidence in Five Continents (CI5plus) database. The average annual percent change (AAPC) was conducted by joinpoint regression analysis, and the age, period and cohort effects were estimated by age-period-cohort (APC) analysis.Results: The age-standardized incidence rates (ASIRs) in LA were higher than Shanghai and Hong Kong. During 1988–2012, the ASIRs significantly decreased in white women in LA (AAPC = −0.6%, 95% CI: −0.9% to −0.4%) while increased in Shanghai (2.5%: 2.1%–2.9%) and Hong Kong (2.2%: 2.0%–2.5%). The APC analysis revealed significantly increased effects of age and period, and decreased effect of birth cohort.Conclusion: Although age and cohort effects were relatively strong, the period effect may be the key factor affecting trends of incidence, which may be caused by increasing exposures to carcinogens and risk factors. Therefore, more effective measures should be carried out promptly to protect high-risk populations such as elder women, to avoid exposures to risk factors of breast cancer.


Cancer ◽  
2020 ◽  
Vol 126 (16) ◽  
pp. 3638-3647
Author(s):  
Kathy Pan ◽  
Rowan T. Chlebowski ◽  
Joanne E. Mortimer ◽  
Marc J. Gunther ◽  
Thomas Rohan ◽  
...  

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 352-352
Author(s):  
Rawiwan Sirirat ◽  
Yessenia Tantamango-Bartley ◽  
Celine Heskey ◽  
Ella Haddad ◽  
Gary Fraser ◽  
...  

Abstract Objectives Breast cancer is the most diagnosed form of cancer among American women. Worldwide, it is second only to lung cancer. Phytosterols are phytochemicals found in plant foods that have potential benefits for breast cancer. Research on phytosterols and cancer associations to date has been limited to breast cancer cell lines and animal studies, and the results have been promising. Our objective is to examine the association between breast cancer incidence and phytosterol intake in the Adventist Health Study-2, a large cohort in North America. Methods The present study estimated the association between phytosterol intake and breast cancer incidence in 52,734 females who were part of the Adventist Health Study 2 (AHS-2) cohort. Breast cancer cases (n = 1050) were ascertained with tumor registries from 2008 to 2014. Phytosterols content in foods was quantified by using USDA 17 and other published sources. These values were used to estimate phytosterol intake from food intake assessed by a self-administered food frequency questionnaires (FFQ). Results Hazard ratios were below the null, but statistically non-significant for β-sitosterol [HR = 0.77, 95%CI (0.44–1.36)], campesterol [HR = 0.84, 95%CI (0.46–1.55)], stigmasterol [HR = 0.76 (0.46–1.26)], and total phytosterol [HR = 0.77, 95%CI (0.43–1.40)]. In premenopausal women, HRs ranged between 0.95–1.72; in postmenopausal women, HRs were below the null, ranging between 0.67–0.83. In both premenopausal and postmenopausal women, HRs were statistically non-significant. Conclusions The inverse association between phytosterol consumption and breast cancer incidence appears uncertain. The uncertainty possibly could be due to lack of power or measurement error. Additional epidemiological studies with a larger number of breast cancer cases, improved phytosterol intake estimates, or both are needed. Funding Sources Unilever Research &Development, Vlaardingen, The Netherlands.


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