The Association of Body Mass Index and Adverse Clinico-Pathological Characteristics of Non-Metastatic Breast Cancer Among Patients from Saudi Arabia

2020 ◽  
Vol 106 (1_suppl) ◽  
pp. 8-8
Author(s):  
Bashayer Alghamdi ◽  
Reema Alghamdi ◽  
Raghad Khallaf ◽  
Konooz faisal ◽  
Raghad Bishnaq ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Saudi Arabia ◽  
Lymph Node ◽  
Body Mass ◽  
Tumor Size ◽  
P Value ◽  
Axillary Lymph ◽  
Receptor Status ◽  
The Mean

Background: Obesity is a global health problem, especially in the Arab region, the prevalence of obesity is increasing. High body mass index (BMI) is a risk factor for many diseases, including cancer. Noticeably, breast cancer (BC) cases in Saudi Arabia occur at a younger age than western countries and different life style behaviours such as maintaining healthy body weight and physical activity may play a role in this. In this study, we aimed to investigate the association between BMI and BC clinicopathological features. Methods: This retrospective study was conducted by reviewing the records of females diagnosed with non-metastatic BC over four years. The association between BMI and patients’ demographics, BC histological type, receptor status, differentiation grade, tumor size, involvement of axillary lymph node, and performed procedures was analysed. Result: We studied 315 patients with non-metastatic BC. The mean age at the time of diagnosis was 52.43 years ±11.63. The mean BMI was 30.21±5.77. The mean tumor size was 3.19 cm ± 3.52. We found that the mean age of diagnosis is significantly greater in obese women than other BMI groups with a P-value = 0.025. A significant relationship was observed between BMI classification and tumor size in obese female patients aged ⩾ 40 years with P-value=0.022 Conclusion: The relationship between BMI and BC is still not clear, in this study we found an association with age at diagnosis and tumor size in older patients, characteristics as histological types, receptor status, lymph node involvement, and grade were not statistically significant.

Predictions for positive nodes in breast cancer using computerized modeling.

2011 ◽  
Vol 29 (27_suppl) ◽  
pp. 16-16
Author(s):  
U. Gawlick ◽  
K. Hewitt ◽  
P. Tamayo ◽  
M. C. Mone ◽  
H. J. Hansen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Tumor Size ◽  
Bayesian Model ◽  
Receptor Expression ◽  
National Study ◽  
Axillary Staging ◽  
Axillary Lymph ◽  
Axillary Nodes ◽  
The Mean

16 Background: The accuracy and consistency of sentinel lymph node (SLN) biopsy for axillary staging in breast cancer has been well established by multiple studies. Although the standard of care has been to perform a completion axillary lymph node dissection (ALND) on patients who have a positive sentinel node, recent data (ACOSG Z0010, Z0011 and NSABP B-32) suggests that an ALND may be avoided in certain subsets of patients. To further study this question, we used a Bayesian model to predict the probability of finding disease in the ALND for breast cancer. Methods: All SLN procedures performed by a single surgeon, for clinical T1-T2 N0 disease between September 2000 and March 2009 were retrospectively reviewed under an IRB approved protocol. Demographic, disease and surgical procedural variables were collected. Values are reported as mean ± standard deviation. A Bayesian model, a standard statistical model frequently used in medicine, was used to identify variables that could predict a positive ALND. Results: A total number of 235 SLN procedures were reviewed. The mean patient age was 58.6 ± 11.8 (range 28-88), tumor size was 1.8 ± 1.3 cm (range 0.2-7.4), and BMI was 28 ± 6.1. The number of SLN found was 3.6 ± 1.9 (range 0-10), and in 2 cases no SLN were found, for an overall failure rate of 0.85%. A total of 73 ALND were performed in this group; 27 cases had ALND as national study participants randomized to ALND, 44 cases for positive SLN, and 2 cases in which no SLN could be identified. The mean number of axillary lymph nodes removed was 14.8 ± 7 and the mean number of positive axillary nodes was 2.7 ± 4.1. Tumor size, tumor grade, number of positive SLN by hematoxylin and eosin staining, and a low technetium count of the first SLN were found to be significant predictors of positive axillary nodes during a completion ALND. There was also a trend for progesterone receptor expression as a predictor of axillary disease. Conclusions: A model to predict a positive ALND for breast cancer is presented. We found tumor characteristics, number of positive SLN and low technetium count for first SLN to be predictors for finding axillary disease. Further studies are needed to validate our model as a means of sparing women an ALND who have a low probability of finding additional breast disease.

Prognostic significance of body mass index in breast cancer patients with hormone receptor-positive tumours after curative surgery

2013 ◽  
Vol 36 (6) ◽  
pp. 297 ◽  
Author(s):  
Peng Xing ◽  
Ji-Guang Li ◽  
Feng Jin ◽  
Ting-Ting Zhao ◽  
Qun Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Body Mass ◽  
Hormone Receptor ◽  
Univariate Analysis ◽  
Prognostic Significance ◽  
Axillary Lymph ◽  
Nodal Stage ◽  
Hormone Receptor Positive ◽  
High Bmi

Purpose: Obesity has been recognized as a significant risk factor for postmenopausal breast cancer. The aim of this study is to investigate the prognostic significance of body mass index (BMI) in hormone receptor-positive, operable breast cancer. Methods: In this retrospective cohort study, 1,192 consecutive patients with curative resection of primary breast cancer were enrolled. Patients were assigned to two groups according to BMI: normal or underweight (BMI < 23.0 kg/m2) and overweight or obese (BMI ≥23.0 kg/m2). Associations among BMI and clinicopathological characteristics and prognosis of patients were assessed. Results: A high BMI was significantly (P < 0.01) correlated with age, nodal stage, ALNR, ER positivity, PR positivity and menopausal status at diagnosis. Univariate analysis revealed that BMI, pathologic T stage, nodal stage, axillary lymph node ratio (ALNR) and adjuvant radiotherapy history were significantly (P < 0.05) associated with disease-free survival and overall survival, irrespective of tumour hormone receptor status. Multivariate analysis revealed BMI as an independent prognostic factor in all cases and in hormone receptor-positive cases. Conclusion: A high BMI (≥23.0 kg/m^2) is independently associated with poor prognosis in hormone receptor-positive breast cancer.

Body Mass Index Influences Palpability but not Stage of Breast Cancer at Diagnosis

2007 ◽  
Vol 73 (6) ◽  
pp. 555-560 ◽  
Author(s):  
Anees B. Chagpar ◽  
Kelly M. Mcmasters ◽  
Jeremy Saul ◽  
Jacob Nurko ◽  
Robert C.G. Martin ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Estrogen Receptor ◽  
Body Mass ◽  
North American ◽  
Tumor Size ◽  
Estrogen Receptor Status ◽  
Stage At Diagnosis ◽  
Histologic Subtype ◽  
The North

Body mass index (BMI) is associated with breast cancer risk, but its relationship with stage at diagnosis is unclear. BMI was calculated for patients in the North American Fareston and Tamoxifen Adjuvant trial, and was correlated with clinicopathologic factors, including stage at diagnosis. One thousand eight hundred fourteen patients were enrolled in the North American Fareston and Tamoxifen Adjuvant study; height and weight were recorded in 1451 (80%) of them. The median BMI was 27.1 kg/m2 (range, 14.7–60.7). The median patient age was 68 years (range, 42–100); median tumor size was 1.3 cm (range, 0.1–14 cm). One thousand seven hundred ninety-three (99.0%) patients were estrogen receptor positive, and 1519 (84.7%) were progesterone receptor positive. There was no significant relationship between BMI (as a continuous variable) and nodal status ( P = 0.469), tumor size ( P = 0.497), American Joint Committee on Cancer stage ( P = 0.167), grade ( P = 0.675), histologic subtype ( P = 0.179), or estrogen receptor status ( P = 0.962). Patients with palpable tumors, however, had a lower BMI than those with nonpalpable tumors (median 26.4 kg/m2 vs 27.5 kg/m2, P < 0.001). Similar results were found when BMI was classified as a categorical variable (<25 vs 25–29.9 vs ≥30). Increased BMI does not lead to a worse stage at presentation. Obese patients, however, tend to have nonpalpable tumors. Mammography in this population is especially important.

scholarly journals Body mass index increases the lymph node metastasis risk of breast cancer: a dose-response meta-analysis with 52904 subjects from 20 cohort studies

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Junyi Wang ◽  
Yaning Cai ◽  
Fangfang Yu ◽  
Zhiguang Ping ◽  
Li Liu
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cohort Studies ◽  
Body Mass ◽  
Dose Response ◽  
Meta Analysis ◽  
Node Metastasis

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 &lt; 0.001) and vitality was higher (B = 0.22, p &lt; 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 &lt; 0.001). Participants whose physical activity was above the mean (B = 0.37, p &lt; 0.001) and whose BMI was below the mean (B = −1.05, p &lt; 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.

Correlation of body mass index and leptin with tumor size and stage of disease in hormone-dependent postmenopausal breast cancer: preliminary results and therapeutic implications

2010 ◽  
Vol 88 (7) ◽  
pp. 677-686 ◽  
Author(s):  
Antonio Macciò ◽  
Clelia Madeddu ◽  
Giulia Gramignano ◽  
Carlo Mulas ◽  
Carlo Floris ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Mass Index ◽  
Body Mass ◽  
Tumor Size ◽  
Postmenopausal Breast Cancer ◽  
Stage Of Disease ◽  
Therapeutic Implications ◽  
Preliminary Results

scholarly journals How Relevant Is the Place Where First-Year College Students Live in Relation to the Increase in Body Mass Index?

Healthcare ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1638
Author(s):  
Antonio Viñuela ◽  
Juan José Criado-Álvarez ◽  
Javier Aceituno-Gómez ◽  
Carlos Durantez-Fernández ◽  
José Luis Martín-Conty ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Nursing Students ◽  
Body Mass ◽  
Repeated Measures ◽  
Eating Habits ◽  
The Body ◽  
P Value ◽  
First Year ◽  
Significant Difference ◽  
The Mean

(1) Objective: This study analyzes the evolution of the body mass index (BMI) throughout the academic year associated with changes in the lifestyle associated with the place where students live during the course, lifestyle design, and health strategies for the university community. (2) Methods: A total of 93 first-year nursing students participated in this study. Data were collected throughout the course by administering self-reported questionnaires about eating habits and lifestyles, weight, and height to calculate their BMI and place of residence throughout the course. Data were analyzed using statistical analysis (Mann–Whitney, chi-square, Student’s t-test, repeated-measures analysis of variance, and least significant difference tests). (3) Results: We found that the mean BMI increases significantly throughout the course among all students regardless of sex, age, eating habits, or where they live during the course. At the beginning of the course, the mean BMI was 22.10 ± 3.64. The mean difference between the beginning of the course and the middle has a value of p-value < 0.015 and between the middle of the course and the end a p-value < 0.009. The group that increased the most is found among students who continue to live in the family nucleus rather than those who live alone or in residence. Students significantly changed their eating and health habits, especially those who live alone or in residence. (4) Conclusions: There is an increase in BMI among students. It is necessary to carry out seminars or talks that can help students understand the importance of good eating practices and healthy habits to maintain their weight and, therefore, their health, in the short, medium, and long term and acquire a good quality of life.

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