Physical Activity and Postmenopausal Breast Cancer

2009 ◽  
Vol 48 (05) ◽  
pp. 444-450 ◽  
Author(s):  
M. E. Schmidt ◽  
J. Chang-Claude ◽  
T. Slanger ◽  
N. Obi ◽  
D. Flesch-Janys ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Risk Factors ◽  
Family History ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Postmenopausal Breast Cancer ◽  
Breast Diseases ◽  
Inverse Association ◽  
Hormone Receptor Positive

Summary Objectives: Epidemiological evidence suggests an inverse association between physical activity (PA) and postmenopausal breast cancer risk. Breast cancer is a heterogeneous disease, influenced by reproductive factors, lifestyle pattern, and predispositions. We investigated whether these risk factors modify the effect of PA on breast cancer risk. Methods: We analyzed data from 2004 hormone-receptor-positive postmenopausal breast cancer cases and 6569 controls from the population-based MARIE study conducted 2002–2005 in Germany. Interaction was statistically tested using adjusted unconditional logistic regression models. Results: The inverse association between leisure-time PA and risk of postmenopausal hormone-receptor-positive breast cancer was not heterogeneous by family history of breast cancer or by hormone therapy. PA showed a significant interaction with benign breast diseases (p = 0.023) and with breastfeeding (p = 0.045) but not with parity (p = 0.94), with clear risk reductions only for women who ever had breastfed or who ever had a benign breast disease (among ever breastfed: odds ratio = 0.63; 95% confidence interval = (0.52, 0.77), highest vs. lowest PA quartile). Interaction with BMI was weak (p = 0.053). Conclusions: Breastfeeding and benign breast diseases modified the effect of PA on postmenopausal breast cancer risk. If other studies find similar modifications, increasing knowledge about these risk factors may contribute to a better understanding of the mode of action of PA on breast cancer risk. For women who are at higher risk for breast cancer due to family history or due to hormone therapy use, it is encouraging that they might lower their risk by being physically active.

scholarly journals A Metabolomics Analysis of Postmenopausal Breast Cancer Risk in the Cancer Prevention Study II

Metabolites ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 95
Author(s):  
Steven C. Moore ◽  
Kaitlyn M. Mazzilli ◽  
Joshua N. Sampson ◽  
Charles E. Matthews ◽  
Brian D. Carter ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Conditional Logistic Regression ◽  
Postmenopausal Breast Cancer ◽  
Sex Steroid ◽  
Birth Date ◽  
Blood Draw ◽  
Metabolomics Analysis

Breast cancer is the most common cancer in women, but its incidence can only be partially explained through established risk factors. Our aim was to use metabolomics to identify novel risk factors for breast cancer and to validate recently reported metabolite-breast cancer findings. We measured levels of 1275 metabolites in prediagnostic serum in a nested case-control study of 782 postmenopausal breast cancer cases and 782 matched controls. Metabolomics analysis was performed by Metabolon Inc using ultra-performance liquid chromatography and a Q-Exactive high resolution/accurate mass spectrometer. Controls were matched by birth date, date of blood draw, and race/ethnicity. Odds ratios (ORs) and 95% confidence intervals (CIs) of breast cancer at the 90th versus 10th percentile (modeled on a continuous basis) of metabolite levels were estimated using conditional logistic regression, with adjustment for age. Twenty-four metabolites were significantly associated with breast cancer risk at a false discovery rate <0.20. For the nine metabolites positively associated with risk, the ORs ranged from 1.75 (95% CI: 1.29–2.36) to 1.45 (95% CI: 1.13–1.85), and for the 15 metabolites inversely associated with risk, ORs ranged from 0.59 (95% CI: 0.43–0.79) to 0.69 (95% CI: 0.55–0.87). These metabolites largely comprised carnitines, glycerolipids, and sex steroid metabolites. Associations for three sex steroid metabolites validated findings from recent studies and the remainder were novel. These findings contribute to growing data on metabolite-breast cancer associations by confirming prior findings and identifying novel leads for future validation efforts.

scholarly journals Physical activity and breast cancer risk: results from the UK Biobank prospective cohort

2020 ◽  
Vol 122 (5) ◽  
pp. 726-732 ◽  
Author(s):  
Wenji Guo ◽  
Georgina K. Fensom ◽  
Gillian K. Reeves ◽  
Timothy J. Key
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cox Regression ◽  
Postmenopausal Breast Cancer ◽  
Protective Role ◽  
Accelerometer Data ◽  
Uk Biobank ◽  
Relative Risks

Abstract Background Previous studies suggest a protective role of physical activity in breast cancer risk, largely based on self-reported activity. We aimed to clarify this association by examining breast cancer risk in relation to self-reported physical activity, informed by accelerometer-based measures in a large subset of participants. Methods We analysed data from 47,456 premenopausal and 126,704 postmenopausal women in UK Biobank followed from 2006 to 2014. Physical activity was self-reported at baseline, and at resurvey in a subsample of 6443 participants. Accelerometer data, measured from 2013 to 2015, were available in 20,785 women. Relative risks (RRs) and 95% confidence intervals (CIs) were calculated by using multivariable-adjusted Cox regression. Results A total of 3189 cases were diagnosed during follow-up (mean = 5.7 years). Women in the top compared with the bottom quartile of self-reported physical activity had a reduced risk of both premenopausal (RR 0.75; 95% CI 0.60–0.93) and postmenopausal breast cancer (RR 0.87; 95% CI 0.78–0.98), after adjusting for adiposity. In analyses utilising physical activity values assigned from accelerometer measurements, an increase of 5 milli-gravity was associated with a 21% (RR 0.79; 95% CI 0.66–0.95) reduction in premenopausal and a 16% (RR 0.84; 95% CI 0.73–0.96) reduction in postmenopausal breast cancer risk. Conclusions Greater physical activity is associated with a reduction in breast cancer risk, which appears to be independent of any association it may have on risk through its effects on adiposity.

Preliminary analysis and assessment of breast cancer risk in Japanese women.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e13092-e13092
Author(s):  
Michiyo Yamada ◽  
Takashi Ishikawa ◽  
Sadatoshi Sugae ◽  
Kazutaka Narui ◽  
Eiji Arita ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Risk Assessment ◽  
Family History ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Japanese Women ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Brinkman Index

e13092 Background: No comprehensive breast cancer risk assessment model for Japanese women exists. Consequently, we have collected Japanese women’s data to investigate key BC risk factors with an objective of deriving a Japanese-women specific BC risk assessment model. Methods: We conducted a retrospective case-control study (paper-based with postal survey) at 15 institutions during 2014-2015. A survey was distributed to Japanese females aged 20-80 who had BC check-up. All pertinent data of a total of 34 factors including demographic and reproductive factors, social history and eating habits was collected. Cases and controls were divided into three groups respectively, premenopausal (PRE; 20 ≤ age < 45), perimenopausal (PERI; 45 ≤ age ≤ 55) and postmenopausal group (POST; 55 < age ≤ 80). Cases and control variables were compared by t-test, chi-square test and Wilcoxon rank sum test. Preliminary BC risk was calculated by logistic regression analysis. Results: A total of 3975 female Japanese datasets were collected, of which 2494 were complete (all variables present) with 1401 controls and 1093 cases were used. There were 222 cases and 332 controls for PRE, 404 cases and 537 controls for PERI, and 467 and 532 controls for POST. The univariate analysis demonstrated that BMI was significantly higher in cases than in controls in all groups (P < 0.01) as was “number of deliveries” in PRE and POST (P < 0.001) and Brinkman index in PRE and PERI (p = 0.017). Multivariate analysis revealed that BC risk was positively associated with BMI (OR 1.080, 95% CI 1.017–1.148, p = 0.012) in PRE, BMI (OR 1.121, 95% CI 1.072–1.174, p < 0.01) and brinkman index (OR 1.000005, 95% CI 1.000002–1.000008, p < 0.01) in PERI, age (OR 1.054, 95% CI 1.028–1.081, p < 0.010), BMI (OR 1.153, 95% CI 1.076-1.171, p < 0.01) and family history (OR 1.497, 95% CI 1.103–2.033, p = 0.001) in POST, while negatively associated with regular exercise (OR 0.672, 95% CI 0.517–0.873, p = 0.003) in POST. Conclusions: BMI in all groups, in addition, the Brinkman index in PERI and age and family history in POST are BC risk factors. Exercise is a protective risk factor in POST. However, the preliminary results are incomplete and further analysis will be conducted before a full risk assessment model is proposed for Japanese women.

Physical activity and risk of postmenopausal breast cancer defined by hormone receptor status and histology: A large prospective cohort study with 18 years of follow up

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 1002-1002 ◽  
Author(s):  
A. Bardia ◽  
A. H. Wang ◽  
L. C. Hartmann ◽  
J. E. Olson ◽  
C. M. Vachon ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Risk Factors ◽  
Cohort Study ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cancer Incidence ◽  
Breast Cancer Incidence ◽  
Histological Subtypes

1002 Background: Physical activity is a modifiable breast cancer risk factor, perhaps mediating risk reduction through regulation of estrogen metabolism. Evidence regarding effect of physical activity is conflicting partly because breast cancer is a heterogenous constellation of different tumor subtypes with differing etiologies. No prospective study has examined the relationship between physical activity and breast cancer incidence based on ER/PR status or histological subtype. Objective: Examine effect of physical activity on breast cancer incidence based on ER/PR status and histological subtypes of breast cancer. Methods: The Iowa Women’s Health Study is a prospective cohort study of postmenopausal women (N=41,837). Physical activity was self-reported on baseline questionnaire, and three levels (high, medium and low) were defined. Breast cancer incidence, histologic subtype and ER/PR status, through 18 years of follow-up, were ascertained by linkage with the Iowa SEER Cancer Registry. Cox proportional hazards models were used to estimate multivariate relative risks (RRs) and 95% confidence intervals (CIs) of breast cancer, adjusting for other breast cancer risk factors. Results: During 554,819 person-years of follow-up, 2548 incident cases of breast cancer were observed. High physical activity was associated with decreased risk for breast cancer (RR 0.91, 95 % CI 0.81–1.01) compared to low activity. The protective effect was most marked in ER+/PR− (RR 0.66, CI 0.46–0.94), intermediate in ER−/PR− (RR 0.80, CI 0.56–1.15), weakest in ER+/PR+ (RR 0.94, CI 0.81–1.08), and elevated in ER-/PR+ (RR 1.42, CI 0.67–3.01) tumors. Higher physical activity was also associated with a decreased risk of invasive ductal/lobular carcinoma (RR 0.90, CI 0.80–1.02), but not with invasive breast cancer with a favorable histology (RR 1.19, CI 0.78–1.81). Conclusions: Higher physical activity was associated with a 10% decreased risk of breast cancer. Unexpectedly, risk reduction was most marked in PR- tumors, particularly ER+/PR-, and the more aggressive histologic forms. Further studies are needed to confirm these findings, and also evaluate other risk factors based on ER/PR status and histological subtypes. No significant financial relationships to disclose.

Predicting risk of estrogen receptor positive breast cancers in postmenopausal women

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 1507-1507
Author(s):  
R. T. Chlebowski ◽  
G. L. Anderson ◽  
D. S. Lane ◽  
A. Aragaki ◽  
T. Rohan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Estrogen Receptor ◽  
Family History ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Postmenopausal Women ◽  
Breast Biopsy ◽  
Breast Cancers ◽  
Estrogen Receptor Positive

1507 Background: Chemoprevention strategies for estrogen receptor positive (ER+) breast cancers are emerging, especially for postmenopausal women, but require methods of targeting appropriate populations. Our objective was to improve the Breast Cancer Risk Assessment Tool [Gail Model (GM)] for estimating ER+ breast cancer risk. Methods: A prospective cohort involving 161,809 postmenopausal women aged 50–79 years, (93,676 in the observational study (OS) and 68,132 in clinical trials (CT)) at Women’s Health Initiative (WHI) Clinical Centers had comprehensive assessment of lifestyle, medication use and breast cancer risk factors. Breast cancer risk from the GM and other models incorporating additional or fewer risk factors and five year incidence of ER + and ER negative (ER-) invasive breast cancers were determined. Main outcome measures were concordance statistics for models predicting breast cancer risk. Results: Of 148,266 women meeting eligibility criteria, (no prior breast cancer and/or mastectomy), 3,236 developed breast cancer. Chronological age and age at menopause, both GM components, were significantly associated with only ER+ but not ER- breast cancer risk (p<0.05 for heterogeneity test). The GM predicted population-based ER+ cancer risk with reasonable accuracy (concordance statistic 0.60, 95% confidence interval (CI) 0.58 to 0.62) but for ER- cancers, the results were equivalent to chance allocation (concordance statistic 0.49, 95% CI 0.45 to 0.54). For ER+ cancers, no additional risk factors improved the GM prediction. However, a simpler model, developed in the OS and tested in the CT population, including only age, family history, and benign breast biopsy was comparable to GM in ER+ breast cancer prediction (concordance statistics 0.58, 95% CI 0.56 to 0.60). Using this model, all women ≥ 55 years old (or ≥ 60 year old if African American) with either a prior breast biopsy or first degree breast cancer family history had five year breast cancer risk of ≥ 1.8%. Conclusions: In postmenopausal women with comprehensive mammography use, the GM identifies populations at increased risk for ER+ breast cancer but not for ER- cancer. A model with fewer variables provides a simpler alternative for identifying populations appropriate for breast cancer chemoprevention interventions. No significant financial relationships to disclose.

Sign in / Sign up

Export Citation Format

Share Document