scholarly journals Association of the Interaction Between Mammographic Breast Density, Body Mass Index, and Menopausal Status With Breast Cancer Risk Among Korean Women

2021 ◽  
Vol 4 (12) ◽  
pp. e2139161
Author(s):  
Thi Xuan Mai Tran ◽  
Seong-Geun Moon ◽  
Soyeoun Kim ◽  
Boyoung Park
2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Zhoufeng Ye ◽  
Gillian Dite ◽  
John Hopper

Abstract Background Our previous work on body mass index (BMI) and breast cancer risk found that the association depended on menopausal status but not on familial risk (Hopper, JL., et al, 2018). We now consider whether weight is a more informative risk factor for breast cancer than BMI. Methods We used data from the Prospective Family Study Cohort, a consortium of international prospective cohorts that are enriched for familial risk of breast cancer and include 16,035 unaffected women from 6701 families. Participants were followed for up to 20 years (mean 10.5 years) and there were 896 incident breast cancers with a mean age at diagnosis of 55.7 years. Cox regression was used to model risk associations as a function of age, menopausal status and underlying familial risk. We calculated robust confidence intervals by clustering by family. Model comparisons were made using the Bayesian Information Criterion (BIC). Results In repeating the best-fitting model from our original analyses, but using weight instead of BMI, we found that the log likelihood for the model using weight was 1.92 units greater than for the model using BMI (difference in BIC = 3.84). Therefore, the data are almost 50 times more likely under the model using weight. Conclusions The study found positive evidence that weight gives more information on risk than does BMI. Key messages Analysing breast cancer risk in terms of weight, rather than only BMI, might give greater insight and results that are easier to convey to the public.


Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2710
Author(s):  
Eleni Leventea ◽  
Elaine F. Harkness ◽  
Adam R. Brentnall ◽  
Anthony Howell ◽  
D. Gareth Evans ◽  
...  

Menopausal hormone therapy (MHT) has an attenuated effect on breast cancer (BC) risk amongst heavier women, but there are few data on a potential interaction with early adulthood body mass index (at age 20 years) and age of first pregnancy. We studied 56,489 women recruited to the PROCAS (Predicting Risk of Cancer at Screening) study in Manchester UK, 2009-15. Cox regression models estimated the effect of reported MHT use at entry on breast cancer (BC) risk, and potential interactions with a. self-reported current body mass index (BMI), b. BMI aged 20 and c. First pregnancy >30 years or nulliparity compared with first pregnancy <30 years. Analysis was adjusted for age, height, family history, age of menarche and menopause, menopausal status, oophorectomy, ethnicity, self-reported exercise and alcohol. With median follow up of 8 years, 1663 breast cancers occurred. BC risk was elevated amongst current users of combined MHT compared to never users (Hazard ratioHR 1.64, 95% CI 1.32–2.03), risk was higher than for oestrogen only users (HR 1.03, 95% CI 0.79–1.34). Risk of current MHT was attenuated by current BMI (interaction HR 0.80, 95% CI 0.65–0.99) per 5 unit increase in BMI. There was little evidence of an interaction between MHT use, breast cancer risk and early and current BMI or with age of first pregnancy.


2021 ◽  
Vol 4 (8) ◽  
pp. e2122810
Author(s):  
Shailesh M. Advani ◽  
Weiwei Zhu ◽  
Joshua Demb ◽  
Brian L. Sprague ◽  
Tracy Onega ◽  
...  

2020 ◽  
Vol 22 (1) ◽  
Author(s):  
Erica J. Lee Argov ◽  
Teofilia Acheampong ◽  
Mary Beth Terry ◽  
Carmen B. Rodriguez ◽  
Mariangela Agovino ◽  
...  

Abstract Background Well-tolerated and commonly used medications are increasingly assessed for reducing breast cancer risk. These include metformin and statins, both linked to reduced hormone availability and cell proliferation or growth and sometimes prescribed concurrently. We investigated independent and joint associations of these medications with mammographic breast density (MBD), a useful biomarker for the effect of chemopreventive agents on breast cancer risk. Methods Using data from a cross-sectional study of 770 women (78% Hispanic, aged 40–61 years, in a mammography cohort with high cardiometabolic burden), we examined the association of self-reported “ever” use of statins and metformin with MBD measured via clinical Breast Imaging Reporting and Data System (BI-RADS) density classifications (relative risk regression) and continuous semi-automated percent and size of dense area (Cumulus) (linear regression), adjusted for age, body mass index, education, race, menopausal status, age at first birth, and insulin use. Results We observed high statin (27%), metformin (13%), and combination (9%) use, and most participants were overweight/obese (83%) and parous (87%). Statin use was associated with a lower likelihood of high density BI-RADS (RR = 0.60, 95% CI = 0.45 to 0.80), percent dense area (PD) (β = − 6.56, 95% CI = − 9.05 to − 4.06), and dense area (DA) (β = − 9.05, 95% CI = − 14.89 to − 3.22). Metformin use was associated with lower PD and higher non-dense area (NDA), but associations were attenuated by co-medication with statins. Compared to non-use of either medication, statin use alone or with metformin were associated with lower PD and DA (e.g., β = − 6.86, 95% CI: − 9.67, − 4.05 and β = − 7.07, 95% CI: − 10.97, − 3.17, respectively, for PD) and higher NDA (β = 25.05, 95% CI: 14.06, 36.03; β = 29.76, 95% CI: 14.55, 44.96, respectively). Conclusions Statin use was consistently associated with lower MBD, measured both through clinical radiologist assessment and continuous relative and absolute measures, including dense area. Metformin use was associated with lower PD and higher NDA, but this may be driven by co-medication with statins. These results support that statins may lower MBD but need confirmation with prospective and clinical data to distinguish the results of medication use from that of disease.


2014 ◽  
Vol 146 (2) ◽  
pp. 355-363 ◽  
Author(s):  
Susann E. Schetter ◽  
Terryl J. Hartman ◽  
Jason Liao ◽  
John P. Richie ◽  
Bogdan Prokopczyk ◽  
...  

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