Association of physical activity, body mass index and reproductive history with breast cancer by menopausal status in Iranian women

2020 ◽  
Vol 67 ◽  
pp. 101738
Author(s):  
Farzad Maleki ◽  
Akbar Fotouhi ◽  
Reza Ghiasvand ◽  
Iraj Harirchi ◽  
Ghazaleh Talebi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Menopausal Status ◽  
Reproductive History ◽  
Iranian Women

scholarly journals Physical Activity, Weight, and Outcomes in Patients Receiving Chemotherapy for Metastatic Breast Cancer (C40502/Alliance)

2021 ◽  
Author(s):  
Jennifer A Ligibel ◽  
Luke Huebner ◽  
Hope S Rugo ◽  
Harold J Burstein ◽  
Debra L Toppmeyer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Body Mass Index ◽  
Metastatic Breast Cancer ◽  
Body Mass ◽  
Hormone Receptor ◽  
Metastatic Breast ◽  
Hazard Ratio ◽  
First Line ◽  
Risk Of Cancer

Abstract Background Obesity and inactivity are associated with increased risk of cancer related- and overall mortality in breast cancer, but there are few data in metastatic disease. Methods CALGB 40502 was a randomized trial of first-line taxane-based chemotherapy for patients with metastatic breast cancer. Height and weight were collected at enrollment. After 299 patients enrolled, the study was amended to assess recreational physical activity (PA) at enrollment using the Nurses’ Health Study Exercise Questionnaire. Associations with progression-free survival (PFS) and overall survival (OS) were evaluated using stratified Cox modeling (strata included hormone receptor status, prior taxane, bevacizumab use, and treatment arm). Results 799 patients were enrolled and at the time of data lock, median follow-up was 60 months. At enrollment, median age was 56.7 years, 73.1% of participants had hormone receptor-positive cancers, 42.6% had obesity, and 47.6% engaged in less than 3 metabolic equivalents of task (MET)-hours of PA/week (<1 hour of moderate PA). Neither baseline body mass index nor PA was statistically significantly associated with PFS or OS, although there was a marginally statistically significant increase in PFS (hazard ratio = 0.83, 95% confidence interval [CI] = 0.79, 1.02; p = .08) and OS (hazard ratio = 0.81, 95% CI = 0.65, 1.02; p = .07) in patients who reported PA greater than 9 MET-hours/week vs 0–9 MET-hours/week. Conclusions In a trial of first-line chemotherapy for metastatic breast cancer, rates of obesity and inactivity were high. There was no statistically significant relationship between body mass index and outcomes. More information is needed regarding the relationship between PA and outcomes.

scholarly journals HIGH BODY-MASS INDEX IS NOT ASSOCIATED WITH WORSE CLINICOPATHOLOGICAL CHARACTERISTICS IN PREDOMINANTLY OBESE BREAST CANCER PATIENTS

2015 ◽  
Vol 37 (4) ◽  
pp. 281-284 ◽  
Author(s):  
Y Kemal ◽  
G Demirag ◽  
F Teker ◽  
E Kut ◽  
M Kefeli ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Body Mass ◽  
Menopausal Status ◽  
High Body Mass Index ◽  
Clinicopathological Characteristics ◽  
Breast Cancer Patients ◽  
High Body ◽  
Obese Population ◽  
The Impact

Background: Breast cancer (BC) is the most common cancer among women. A high body-mass index (BMI) is related to increased incidence of BC with poorer prognosis. Aim: The aim of the study was to evaluate the association in patients with BC between BMI at the time of diagnosis and biological characteristics, according to the menopausal status. Materials and Methods: This retrospective study comprised a total of 318 women with BC. Clinicopathological differences between normal, overweight and obese patients according to menopausal status were evaluated. Results: Premenopausal women had a significantly lower BMI than postmenopausal patients (28.7 vs. 31.5, respectively; p = 0.00001). No statistically significant association was determined between BMI and clinicopathological characteristics in either the premenopausal or the postmenopausal group (all p values are > 0.05). Conclusions: There are many conflicting results in literature on this relationship. The results of this study showed that a high BMI is not associated with worse clinicopathological characteristics in a predominantly obese population. In current medical oncology practice, BC should be evaluated on an individual patient basis and the impact of obesity on BC prognosis seems to be difficult to estimate especially in an obese population.

scholarly journals Breast-Associated Adipocytes Secretome Induce Fatty Acid Uptake and Invasiveness in Breast Cancer Cells via CD36 Independently of Body Mass Index, Menopausal Status and Mammary Density

Cancers ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2012 ◽  
Author(s):  
Maurice Zaoui ◽  
Mehdi Morel ◽  
Nathalie Ferrand ◽  
Soraya Fellahi ◽  
Jean-Philippe Bastard ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Fatty Acid ◽  
Cancer Cells ◽  
Body Mass ◽  
Breast Cancer Cells ◽  
Menopausal Status ◽  
Fatty Acid Uptake ◽  
Acid Uptake ◽  
Breast Cells

Breast adiposity is correlated with body mass index, menopausal status and mammary density. We here wish to establish how these factors influence the cross-talk between breast adipocytes and normal or malignant breast cells. Adipocyte-derived stem cells (ASCs) were obtained from healthy women and classified into six distinct groups based on body mass index, menopausal status and mammary density. The ASCs were induced to differentiate, and the influence of their conditioned media (ACM) was determined. Unexpectedly, there were no detectable differences in adipogenic differentiation and secretion between the six ASC groups, while their corresponding ACMs had no detectable influence on normal breast cells. In clear contrast, all ACMs profoundly influenced the proliferation, migration and invasiveness of malignant breast cells and increased the number of lipid droplets in their cytoplasm via increased expression of the fatty acid receptor CD36, thereby increasing fatty acid uptake. Importantly, inhibition of CD36 reduced lipid droplet accumulation and attenuated the migration and invasion of the breast cancer cells. These findings suggest that breast-associated adipocytes potentiate the invasiveness of breast cancer cells which, at least in part, is mediated by metabolic reprogramming via CD36-mediated fatty acid uptake.

scholarly journals Changes in Body Mass Index and Physical Activity Predict Changes in Vitality During a Weight Loss Trial in Breast Cancer Survivors

2018 ◽  
Vol 52 (12) ◽  
pp. 999-1009 ◽  
Author(s):  
Kelly M Kenzik ◽  
Wendy Demark-Wahnefried ◽  
Patricia A Ganz ◽  
Graham Colditz ◽  
Cheryl L Rock ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Body Mass Index ◽  
Weight Loss ◽  
Cancer Survivors ◽  
Body Mass ◽  
Structural Equation ◽  
Breast Cancer Survivors ◽  
Structural Equation Models ◽  
The Mean

AbstractBackgroundBreast cancer survivors rank fatigue (e.g., decreased vitality) as their number one concern affecting quality of life. Excess adiposity is associated with decreased vitality in breast cancer survivors, yet weight loss intervention trials report inconsistent effects on this parameter.MethodsThis is a secondary analysis of the Exercise and Nutrition to Enhance Recovery and Good Health for You trial, in which 692 overweight or obese breast cancer survivors ≤5 years from diagnosis, initiated weight loss interventions, and completed assessments semi-annually for 2 years. Assessments included the Godin Leisure-Time Exercise Questionnaire and the SF-36 MOS vitality subscale as an inverse measure of fatigue. Multilevel structural equation models estimated the direct effects of physical activity on vitality and indirect effects through body mass index (BMI) changes.ResultsWithin-person findings show that at assessments with greater physical activity, BMI was significantly lower (B = −0.07, p < 0.001) and vitality was higher (B = 0.22, p < 0.001). However, there was no direct relationship between lower BMI and higher vitality (B = −0.11, p = 0.262) after controlling for the relationship of physical activity with BMI and physical activity with vitality. The between-person indirect effect of physical activity change through BMI change to vitality was significant (B = 0.03, p < 0.001). Participants whose physical activity was above the mean (B = 0.37, p < 0.001) and whose BMI was below the mean (B = −1.05, p < 0.001) were more likely to report greater vitality.ConclusionImprovements in vitality are primarily associated with increases in physical activity rather than BMI changes in this trial. Vitality was lower among survivors with higher BMI, although within-individual changes in BMI had no effect on vitality. Physical activity and weight loss share mechanistic links to vitality with physical activity potentially increasing (e.g., in an additive or synergistic manner) the effect of BMI reduction on vitality.

Body mass index and waist circumference are predictor biomarkers of breast cancer risk in Iranian women

2010 ◽  
Vol 28 (4) ◽  
pp. 1296-1301 ◽  
Author(s):  
K. O. Hajian-Tilaki ◽  
A. R. Gholizadehpasha ◽  
S. Bozorgzadeh ◽  
E. Hajian-Tilaki
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Body Mass ◽  
Iranian Women

scholarly journals 673Is weight more informative than body mass index for breast cancer risk

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Zhoufeng Ye ◽  
Gillian Dite ◽  
John Hopper
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Body Mass ◽  
Cox Regression ◽  
Menopausal Status ◽  
Familial Risk ◽  
Study Cohort ◽  
Breast Cancers

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.

Inflammatory breast cancer and body mass index.

1998 ◽  
Vol 16 (12) ◽  
pp. 3731-3735 ◽  
Author(s):  
S Chang ◽  
A U Buzdar ◽  
S D Hursting
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Cancer Patients ◽  
Body Mass ◽  
Inflammatory Breast Cancer ◽  
Menopausal Status ◽  
Control Group ◽  
Breast Cancer Patients ◽  
Increased Risk ◽  
High Bmi

PURPOSE No studies have investigated the etiology of inflammatory breast cancer (IBC), the most lethal form of breast cancer. Because high body mass index (BMI) is associated with decreased risk of premenopausal breast cancer but increased risk of postmenopausal breast cancer, we evaluated whether high BMI was a risk factor for IBC. PATIENTS AND METHODS In a case-comparison study, we matched by ethnicity and registration date 68 IBC patients treated at The University of Texas M.D. Anderson Cancer Center from 1985 to 1996 with 143 patients with non-IBC and 134 patients with cancer at sites other than the breast or reproductive tract (non-breast cancer). The non-breast cancer group was used in lieu of a population-based, healthy control group, which was not available. RESULTS IBC patients were younger at menarche and the time of their first live birth than non-IBC and non-breast cancer patients. The proportion of premenopausal IBC patients was higher than the proportion of premenopausal women in the comparison groups, although differences were not significant. There were no differences in height, but IBC patients were heavier (77.6 kg) than non-IBC (70.0 kg) and non-breast cancer patients (68.0 kg). After adjusting for other factors, women in the highest BMI tertile (BMI > 26.65 kg/m2) relative to the lowest tertile (BMI < 22.27) had significantly increased IBC risk (IBC v non-IBC, odds ratio [OR] = 2.45, 95% confidence interval [CI] = 1.05 to 5.73; IBC v non-breast cancer, OR = 4.52, 95% CI = 1.85 to 11.04). This association was not significantly modified by menopausal status and was independent of age at menarche, family history of breast cancer, gravidity, smoking status, and alcohol use. CONCLUSION Our investigation showed that high BMI was significantly associated with an increased risk of IBC. This association did not vary by menopausal status, although IBC patients were more likely to be premenopausal. Confirming our findings and identifying other IBC risk factors may provide directions for future research on the aggressive nature of IBC.

Association of body mass index and outcome in advanced breast cancer.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 1044-1044
Author(s):  
Claudia Andreetta ◽  
Pamela Driol ◽  
Marta Bonotto ◽  
Lorenzo Gerratana ◽  
Francesca Valent ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Prognostic Factor ◽  
Advanced Breast Cancer ◽  
Body Mass ◽  
Menopausal Status ◽  
Advanced Breast ◽  
Consecutive Series ◽  
First Line ◽  
Adverse Prognostic Factor

1044 Background: Obesity represents a well-known risk factor for the development of breast cancer and an adverse prognostic factor in early disease. Overweight is associated with reduced efficacy of aromatase inhibitors in adjuvant setting. Few data have been reported about the potential relationship of overweight and outcome in advanced breast cancer (ABC). Methods: We retrospectively evaluated body mass index (BMI) in a consecutive series of 400 ABC patients treated at our institution. BMI was calculated at baseline of diagnosis of ABC. We evaluated association of BMI and other prognostic and predictive markers with Progression Free Survival (PFS) and Overall Survival (OS). We evaluated PFS at first and subsequent lines of chemotherapy (CT) and endocrine therapy (ET). Overweight patients were defined as having BMI > 25. Results: Overweight patients were 52%. Median age of the population was 58 years. Median OS was 33.7 months. Overall, 76% of patients presented with ER+ and 17.7% with HER2+ ABC.Overweight was associated with increased age at diagnosis, menopausal status and luminal B or triple negative immunophenotype. At multivariate analysis, BMI > 25 was associated with better PFS at first-line ET (HR= 0.68, 95% CI 0.46-0.99). BMI was not associated with OS. Conclusions: BMI at baseline does not seem to be an adverse prognostic factor for ABC patients. Overweight may be associated with better PFS in endocrine responsive ABC treated with ET, especially in first-line setting. The role of BMI in ABC deserves to be further investigated.

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