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Introduction: Introduction: cell integrity and fat mass had been studied as a prognostic marker for cancer survival. Objective: our aim was to evaluate the association between tumor aggressiveness and cell integrity changes and adiposity in breast cancer (BC) survivors. Methods: women with BC (n = 114) were evaluated at diagnosis and 5 years later. Percentage of lean mass, fat mass, phase angle (PA), resistance (R) and reactance (Xc) were obtained by bioimpedance (450-50 kHz). Plasma leptin was assessed by immunoassay. Changes in body composition were assessed by the paired t-test or Wilcoxon's test. The disease effect associated with the time of diagnosis was assessed by a generalized linear model. Regression models were structured to assess the prevalence ratio between tumor aggressiveness and body composition changes adjusted for age, income, and level of schooling. Results: patients with N+ (p = 0.02) and % Ki67 > 14 (p = 0.00) show a reduction in Xc. Patients with advanced clinical staging (CS) (p = 0.02), tumors > 2 cm (p = 0.01), N+ (p = 0.01), non-luminal tumors (p = 0.02), ER- (p = 0, 00) and PR- (p = 0.02) show a PA reduction, and N+ patients (p = 0.01) show a reduction in leptin during follow-up. Tumors  2 cm (CI: 0.33-0.95; p = 0.03), initial CS (CI: 0.20-0.93; p = .0.03), and luminal tumors (CI: 0.01-0.95; p = 0.04) are related to a lower reduction in PA. Initial CS (CI: 0.00-0.00; p = 0.00) are related to increased leptin. Conclusion: tumor aggressiveness is associated with cell integrity changes in women who are BC survivors.

Background and Aims: Thus, the aim of this study was to assess the changes in the body composition of the women survivors of breast cancer and its association with clinical staging, using the bioelectrical impedance vector analysis (BIVA), over five years of follow-up., Methods: At baseline time 114 patients (T0) were selected and after 5 years (T1) of follow-up (n = 35) data of weight, body mass index, waist circumference, phase angle, resistance/height, reactance/height, %fat free mass and %fat mass were monitored. Bioelectrical impedance vector analysis (BIVA) and the vector displacement assessment took place according to the initial and advanced clinical staging (CS 1 and 2, respectively) and time of follow-up and have been showed using mean graph and RXc score graph., Results: Patients on CS 1 showed a reduction in reactance/height, phase angle, %fat free mass and an increase in %fat mass. The same group presented during the follow-up significant vector displacement by mean graph and a change to the 95% ellipse by the RXc score graph., Conclusions: Women with breast cancer in the initial CS showed a more significant displacement of bioelectric vectors, indicating worsening in body composition., Competing Interests: Declaration of competing interest The authors declare no conflict of interest., (Copyright © 2021 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.)

Objectives: The aim of this study was to assess the association of plasma and erythrocyte ω-3 and ω-6 fatty acids with multiple oxidative stress biomarkers in breast cancer patients., Methods: Ninety-five women with recently diagnosed breast cancer and no previous treatment were selected for this study. The socioeconomic, clinical, and demographic profile of the patients was determined using a structured questionnaire and medical records. Body weight and height were measured to calculate body mass index. Blood samples were drawn after a 12-h fast for biochemical analyses. The oxidative stress biomarkers low-density lipoprotein (-) and its anti-low-density lipoprotein (-) antibodies, α-tocopherol, β-carotene, high-density lipoprotein cholesterol, thiobarbituric acid reactive substance, and adiponectin were measured. Plasma and erythrocyte fatty acids were assessed by gas chromatography. Factor and principal component analysis was used to identify three factors called factor 1 (anti-inflammatory), factor 2 (antioxidant), and factor 3 (oxidant). Linear regression, adjusted for confounding variables, was used to estimate the association of these factors with plasma and erythrocyte ω-3 and ω-6 fatty acids and their ratios., Results: ω-3 series fatty acids showed a positive association with Factor 1. A positive association of plasma and erythrocyte ω-6 fatty acids with factors 1 and 2, respectively, was found. ω-6/ω-3 ratio (plasma) was inversely associated with the anti-inflammatory factor., Conclusion: Polyunsaturated fatty acids of the plasma and erythrocyte ω-3 and ω-6 series were associated with multiple inflammatory and oxidative stress biomarkers in breast cancer., (Copyright © 2019 Elsevier Ltd. All rights reserved.)