Obesity and breast cancer risk for pre- and postmenopausal women among over 6 million Korean women

Author(s):  
Jae Won Park ◽  
Kyungdo Han ◽  
Dong Wook Shin ◽  
Yohwan Yeo ◽  
Ji Won Chang ◽  
...  
2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e11584-e11584
Author(s):  
In Hae Park ◽  
Kyungran Ko ◽  
Ji Soo Choi ◽  
So-youn Jung ◽  
Seeyoun Lee ◽  
...  

e11584 Background: In Asian population, the peak incidence of breast cancer is women in their late forties. We investigated the association between volumetric breast density and breast cancer risk according to menstruation status and breast cancer subtypes in Korean women. Methods: We prospectively enrolled 509 newly diagnosed breast cancer patients and 1336 healthy control subjects who performed mammography at the National Cancer Center in Korea between Sep 2011 and Nov 2012. Breast density was estimated using volumetric breast composition measurement (VolparaTM). We collected clinical data including menstruation status, parity, BMI and use of postmenopausal hormones. For cancer patient, we additionally acquired following pathologic data: histologic type, tumor size and grade, receptor status, Ki-67, and nodal status. Results: Of a total of subjects, 1064 (57.7%) women were postmenopausal status. The risk of breast cancer increased progressively with increase in volumetric breast density (Ptrend <0.001) in all subjects. In addition, breast cancer risk increased in women < 60 years old (odds radio (OR) = 1.81), higher body mass index (BMI) (< 25kg/m2 vs. ≥ 25kg/m2) (OR = 2.41), and fewer childbirth (0/1 vs. ≥ 2) (OR=2.38). In postmenopausal women, higher breast density (category 4) showed a 3.00-fold (OR = 3.00, 95% confidence interval (CI) = 1.75-5.16, P<0.001) increased risk of breast cancer compared with lower breast density (category 1-2). In contrast, there was no such association in premenopausal women. The associations of volumetric breast density were stronger for HER2 positivity (Ptrend <0.019), and high Ki-67 (Ptrend <0.006) in postmenopausal breast cancer patients. There was a statistically significant association between lower breast density and hormone receptor (HR) positive/HER2 negative breast cancer (Ptrend <0.019). Conclusions: High volumetric breast density is associated with the risk of breast cancer having more aggressive tumor characteristics in postmenopausal women.


2007 ◽  
Vol 77 (2) ◽  
pp. 130-141 ◽  
Author(s):  
Do ◽  
Lee ◽  
Kim ◽  
Jung ◽  
Lee

We carried out a case-control study to examine the relationship between fruits, vegetables, and soy foods intake with breast cancer risk in Korean women. Incident cases (n = 359) were identified through cancer biopsies and hospital-based controls (n = 708) were selected in the same hospitals. Subjects were asked to indicate usual dietary habits, which were assessed using a semi-quantitative food frequency questionnaire (98 items). Odds ratio (OR) and 95% confidence intervals (95% CI) were calculated by unconditional logistic regression after adjustment for additional confounding factors according to the menopausal status. High grape intake showed an inverse association of breast cancer in postmenopausal women (OR = 0.59, 95% CI = 0.35–0.95; p for trend = 0.05). High tomato intake was associated with reduced breast cancer risk in premenopausal women (OR = 0.59, 95% CI = 0.38–0.89, p for trend = 0.04). In postmenopausal women, green pepper intake showed an inverse association of breast cancer risk (OR = 0.60, 95% CI = 0.43–0.96, p for trend = 0.03). High soybean intake showed an inverse association of breast cancer in postmenopausal women (OR = 0.61, 95% CI = 0.34–0.89, p for trend = 0.02). Our study suggests that high intake of some fruits, vegetables, and soybeans may be associated with a reduced breast cancer risk.


Nutrients ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 32 ◽  
Author(s):  
Woo-Kyoung Shin ◽  
Hwi-Won Lee ◽  
Aesun Shin ◽  
Jong-koo Lee ◽  
Daehee Kang

Epidemiologic studies regarding breast cancer risk related to milk consumption remain controversial. The aim of this study was to evaluate the association between milk consumption and the risk for breast cancer. A total of 93,306 participants, aged 40–69 years, were included in the prospective cohort study in the Health Examinees-Gem (HEXA-G) study between 2004 and 2013. Dietary intake was assessed using a validated food frequency questionnaire. Information on cancer diagnosis in the eligible cohort was retrieved from the Korea Central Cancer Registry through 31 December 2014. The Cox proportional hazards model was used to estimate multivariate hazard ratios (HRs) and 95% confidence intervals (CIs). A total of 359 breast cancer cases were observed over a median follow-up period of 6.3 years. Milk consumption was not associated with decreased risk for breast cancer in the total population (p for trend = 0.0687). In women under 50 years of age, however, milk consumption was inversely associated with breast cancer risk. In the comparison between highest (≥1 serving/day) and lowest (<1 serving/week) intake categories of milk, the multivariate HR (95% CI) was 0.58 (0.35–0.97, p for trend = 0.0195)) among women under 50 years of age. In conclusion, our findings show that milk consumption in Korean women aged 50 or younger is associated with a decreased risk for breast cancer, when compared to those who never or rarely consumed milk. Further studies need to be conducted to assess this relationship and confirm these results.


2020 ◽  
Vol 31 (12) ◽  
pp. 1115-1128
Author(s):  
S. Hurley ◽  
D. Goldberg ◽  
J. Von Behren ◽  
J. Clague DeHart ◽  
S. Wang ◽  
...  

Cancer ◽  
2020 ◽  
Vol 126 (21) ◽  
pp. 4687-4696
Author(s):  
Eun Young Kim ◽  
Yoosoo Chang ◽  
Jiin Ahn ◽  
Ji‐Sup Yun ◽  
Yong Lai Park ◽  
...  

2015 ◽  
Vol 150 (3) ◽  
pp. 643-653 ◽  
Author(s):  
Bernard Rosner ◽  
A. Heather Eliassen ◽  
Adetunji T. Toriola ◽  
Susan E. Hankinson ◽  
Walter C. Willett ◽  
...  

2013 ◽  
Author(s):  
H-H. Sherry Chow ◽  
Linda L. Garland ◽  
Brandy M. Heckman-Stoddard ◽  
Chiu-Hsieh Hsu ◽  
Valerie D. Butler ◽  
...  

2018 ◽  
Vol 48 (2) ◽  
pp. 660-660
Author(s):  
Timothy J Key ◽  
Angela Balkwill ◽  
Kathryn E Bradbury ◽  
Gillian K Reeves ◽  
Ai Seon Kuan ◽  
...  

2020 ◽  
Vol 55 (3) ◽  
pp. 246-253 ◽  
Author(s):  
Qiuyu Sun ◽  
Weihong Xie ◽  
Yanli Wang ◽  
Feifei Chong ◽  
Mengmeng Song ◽  
...  

Abstract Aims Alcohol intake has been shown to increase the risk of breast cancer. However, the dose-response analysis of different alcoholic beverages (spirits, wine and beer) is not clear. Our meta-analysis aims to provide a dose-response estimation between different alcohols and breast cancer risk. Methods Search of PubMed and Web of Science and manual searches were conducted up to 1 December 2018, and summary relative risks (RRs) and attributable risk percentage (ARP) for alcohol intake on the development of breast cancer were calculated. Dose-response meta-analysis modeled relationships between drinking type and breast cancer risk. Sources of heterogeneity were explored, and sensitivity analyses were conducted to test the robustness of findings. Results In total, 22 cohort studies and 45,350 breast cancer cases were included. Current drinkers for ER+ had an increased risk compared with never drinkers. In dose-response analysis, there was a statistically significant linear trend with breast cancer risk increasing gradually by total alcohol and wine dose: when adding 10 g per day, the risk increased by 10.5% (RR = 1.10, 95%CI = 1.08–1.13) in total alcohol and 8.9% (RR = 1.08, 95%CI = 1.04–1.14) in wine. For postmenopausal women, the risk increases by 11.1% (RR = 1.11, 95%CI = 1.09–1.13) with every 10 g of total alcohol increase. Furthermore, the breast cancer alcohol-attributed percentage is higher in Europe than in North America and Asia. Conclusions The effect of drinking on the incidence of breast cancer is mainly manifested in ER+ breast cancer. Quantitative analysis showed total drinking had a significant risk for breast cancer, especially for postmenopausal women. However, for different alcohols, just wine intake has the similar results.


2008 ◽  
Vol 389 (1-2) ◽  
pp. 167-170 ◽  
Author(s):  
Ji-Young Lee ◽  
Ji-Yeob Choi ◽  
Kyoung-Mu Lee ◽  
Sue Kyung Park ◽  
So-Hee Han ◽  
...  

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