In this study, we aimed to evaluate the correlation between anthropometric measurements and breast cancer survival.
Material & Methods
In this prospective study, we evaluated patients who underwent operation because of cancer within the last 3 years or patients with breast cancer diagnosed in postoperative histopathological examination. Patients were divided into four groups based on their body mass index (BMI) values.
A total of 160 patients underwent surgery due to breast cancer. The mean age was 54.16 (21-88) years. The mean duration of follow-up was 51 months. Weight of the patients was found as ≤ 50 Kg in 7 patients, between 51-70 Kg in 51 patients, between 71-90 Kg in 51 patients, and > 90 Kg in 7 patients. The mean height was 158 cm. According to BMI classification, there was no statistically significant difference between the incidences of tumor/estrogen receptor (p>0.05). However, rate of tumor estrogen receptor positivity was increased with BMI.
Mortality occurred in 2 patients from tumor, and in 2 patient due to non-tumoral reasons. The mean overall survival was 125 months. The mean tumor free survival was 91.5 months. Whereas tumor free survival was better taller patients, no significant difference was found between tumor free survivals according to weight. Overall survival was better in patients with a high between 151-161 cm, compared to those with a height < 151 cm and the patients with a height > 161 cm.
There is an association between anthropometric measurements such as weight and height and breast cancer. Effects of toxins and carcinogens increase with the increase of adipose tissue.
Anthropometric, measurement, breast cancer, height, weight
Nemesure B, Wu SY, Hennis A, Leske MC:Body size and breast cancer in a black population. Cancer Causes Control, 2009;20:387–94.
Amadou A, Hainaut P, Romieu I:Role of obesity in the risk of breast cancer: lessons from anthropometry. J Oncol, 2013: 906495.
Renehan AG, Tyson M, Egger M, Heller RF, Zwahlen M:Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies. Lancet, 2008; 371:569-78.
Freisling H, Arnold M, Soerjomataram I, O'Doherty MG, Ordóñez-Mena JM, Bamia C et al.:Comparison of general obesity and measures of body fat distribution in older adults in relation to cancer risk: meta-analysis of individual participant data of seven prospective cohorts in Europe. Br J Cancer, 2017;116: 1486-97.
Amadou A, Hainaut P, Romieu I:Role of obesity in the risk of breast cancer: lessons from anthropometry. J Oncol, 2013; 2013:906495.
Endogenous Hormones and Breast Cancer Collaborative Group, Key TJ, Appleby PN, Reeves GK, Roddam AW:Insulin-like growth factor 1 (IGF1), IGF binding protein 3 (IGFBP3), and breast cancer risk: pooled individual data analysis of 17 prospective studies. Lancet Oncol, 2010; 11:530-42.
De Waard F, Baander-Van Halewijn E:A prospective study in general practice on breast cancer risk in postmenopausal women. Int J Cancer, 1974; 14:153-60.
London SJ, Colditz GA, Stampfer MJ, Willett WC, Rosner BR, Speizer FE:Prospective study of relative weight, height, and risk of breast cancer. JAMA, 1989; 262:2853-8.
Dubin N, Pasternack B, Stax P:Epidemiology of breast cancer in a screened population. Cancer Detect Prev, 1984; 7:87-102.
Amadou A, Ferrari P, Muwonge R, Moskal A, Biessy C, Romieu I, Hainaut P:Overweight, obesity and risk of premenopausal breast cancer according to ethnicity: a systematic review and dose response metaanalysis. Obesity Reviews, 2013; 14: 665-78.