Relationship between body mass index and cholesterol levels with histopathological grading of breast cancer

2021 ◽  
pp. 1-8
Author(s):  
Okto Sampe Padang ◽  
Septiman Septiman ◽  
Prihantono Prihantono ◽  
Gita Vita Soraya ◽  
John Pieter Junior ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Lipid Profile ◽  
Body Mass ◽  
Menopausal Status ◽  
Moderate Correlation ◽  
Cholesterol Levels ◽  
Increased Risk ◽  
The Relationship ◽  
Histopathological Grading

BACKGROUND: Breast cancer, a global health problem with a high mortality rate, has several risk factors, including obesity and increased lipid profile. Postmenopausal obesity is associated with estrogen production from adipose tissue, while abnormal cell growth is triggered by insulin-like growth factor 1 (IGF-1) and insulin. Obesity could be assessed by measuring body mass index (BMI). An increase in lipid profile signifies an increased risk for breast cancer. Histopathological findings in the form of grading and differentiation can indicate how serious the condition is. Breast cancer with good differentiation is always associated with a positive prognosis. OBJECTIVE: This observational analytic study aims to determine the relationship between BMI and cholesterol levels based on the menopausal status and the histopathological grading findings of breast cancer patients. METHODS: The observational cross-sectional study analyzed histopathological grading, total cholesterol level, and body mass index. Data were analyzed with Spearman rank correlation statistical test, and the results are significant when the p-value is <0.05. RESULTS: Analyzing the relationship between cholesterol levels and histopathological gradings indicated a moderate correlation. The results of another correlation test based on menopausal status showed a weak correlation value, while menopause was said to be significant, indicating a moderate correlation. However, results from the analysis of BMI data in the menopausal subject group were associated with histopathological assessment. CONCLUSIONS: There is a relationship between cholesterol levels and histopathological degrees in the two menopausal status groups. However, no relationship was found between BMI and the histopathological grades of breast cancer.

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.

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 The Relationship between Body Mass Index and the Severity of Coronary Artery Disease in Patients Referred for Coronary Angiography

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Anne B. Gregory ◽  
Kendra K. Lester ◽  
Deborah M. Gregory ◽  
Laurie K. Twells ◽  
William K. Midodzi ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Body Mass Index ◽  
Coronary Artery ◽  
Body Mass ◽  
Cardiac Risk ◽  
Cardiac Risk Factor ◽  
Increased Risk ◽  
Specific Mortality ◽  
Artery Disease ◽  
The Relationship

Background and Aim. Obesity is associated with an increased risk of cardiovascular disease and may be associated with more severe coronary artery disease (CAD); however, the relationship between body mass index [BMI (kg/m2)] and CAD severity is uncertain and debatable. The aim of this study was to examine the relationship between BMI and angiographic severity of CAD. Methods. Duke Jeopardy Score (DJS), a prognostic tool predictive of 1-year mortality in CAD, was assigned to angiographic data of patients ≥18 years of age (N=8,079). Patients were grouped into 3 BMI categories: normal (18.5–24.9 kg/m2), overweight (25.0–29.9 kg/m2), and obese (≥30 kg/m2); and multivariable adjusted hazard ratios for 1-year all-cause and cardiac-specific mortality were calculated. Results. Cardiac risk factor prevalence (e.g., diabetes, hypertension, and hyperlipidemia) significantly increased with increasing BMI. Unadjusted all-cause and cardiac-specific 1-year mortality tended to rise with incremental increases in DJS, with the exception of DJS 6 (p<0.001). After adjusting for potential confounders, no significant association of BMI and all-cause (HR 0.70, 95% CI .48–1.02) or cardiac-specific (HR 1.11, 95% CI .64–1.92) mortality was found. Conclusions. This study failed to detect an association of BMI with 1-year all-cause or cardiac-specific mortality after adjustment for potential confounding variables.

U-shaped relationship between depression and body mass index in the Korean adults

2017 ◽  
Vol 45 ◽  
pp. 72-80 ◽  
Author(s):  
J.-H. Lee ◽  
S.K. Park ◽  
J.-H. Ryoo ◽  
C.-M. Oh ◽  
J.-M. Choi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Multiple Logistic Regression Analysis ◽  
Epidemiologic Studies ◽  
Specific Pattern ◽  
Obese Group ◽  
Health Study ◽  
Cross Sectional ◽  
Increased Risk ◽  
The Relationship

AbstractBackground:Although a number of studies have examined the relationship between depression and obesity, it is still insufficient to establish the specific pattern of relationship between depression and body mass index (BMI) categories. Thus, this study was aimed to investigate the relationship between depression and BMI categories.Methods:A cross-sectional study was conducted for a cohort of 159,390 Korean based on Kangbuk Samsung Health Study (KSHS). Study participants were classified into 5 groups by Asian-specific cut-off of BMI (18.5, 23, 25 and 30 kg/m2). The presence of depression was determined by Center for Epidemiologic Studies-Depression scales (CES-D) = 16 and = 25. The adjusted odd ratios (ORs) for depression were evaluated by multiple logistic regression analysis, in which independent variable was 5 categories of BMI and dependent variable was depression. Subgroup analysis was conducted by gender and age.Results:When normal group was set as a reference, the adjusted ORs for depression formed U-shaped pattern of relationship with BMI categories [underweight: 1.31 (1.14–1.50), overweight: 0.94 (0.85–1.04), obese group: 1.01 (0.91–1.12), severe obese group: 1.28 (1.05–1.54)]. This pattern of relationship was more prominent in female and young age group than male and elderly subgroup. BMI level with the lowest likelihood of depression was 18.5 kg/m2 to 25 kg/m2 in women and 23 kg/m2 to 25 kg/m2 in men.Conclusions:There was a U-shaped relationship between depression and BMI categories. This finding suggests that both underweight and severe obesity are associated with the increased risk for depression.

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.

Benign Breast Diseases and Body Mass Index: Is There a Correlation?

2014 ◽  
Vol 80 (5) ◽  
pp. 461-465 ◽  
Author(s):  
Stacey O'Brien ◽  
Gopal Chandru Kowdley
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Body Mass ◽  
Breast Biopsy ◽  
Statistical Significance ◽  
Breast Disease ◽  
Breast Diseases ◽  
Increased Risk ◽  
Relationship Of ◽  
Risk Of Cancer

Breast cancer is the leading cancer affecting women in America. Body mass index (BMI) is a known risk factor for the development of breast cancer. The relationship of BMI to benign breast disease is less clear. In addition, certain benign pathologies are associated with an increased risk of cancer. We sought to measure the incidence of benign pathologies and to correlate these findings with BMI and age. All patients undergoing breast biopsy at our center from 2000 to 2005 were identified (n = 1717). Age, BMI, family history, sex, and diagnosis were determined. Patients were grouped into BMI, age, and intervention groups. χ2 ( P < 0.05) was used to identify statistical significance. Fibrocystic disease and fibroadenoma were seen with a lower incidence for patients older than 55 years of age, whereas pathologies requiring further surgical intervention were seen in higher proportions in patients older than 55 years of age. All pathologies were noted to decrease with increasing BMI, except for fibroadenoma, which peaked in BMI group 25 to 29.9 kg/m2. The presence of benign pathologies was associated with age as expected. Interestingly, although BMI is associated with increased risk of breast cancer, increasing BMI was not associated with benign pathologies that are associated with increased risk of breast cancer. Further study of this area is warranted.

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