Tama, E

Abstract Disclosure: M.D. Hurtado: None. E. Tama: None. D. Hodge: None. A. Weston: None. S. Fahad: None. K. Ruddy: None. J. Olson: None. F. Coach: None. R. Carter: None. S. D'Andre: None. A. Acosta: Consulting Fee; Self; Amgen Inc. Grant Recipient; Self; Vivus USA, Novo Nordisk. C. Shufelt: None. Background: Breast cancer (BC) is the most common cancer in women. Weight gain after treatment for early-stage BC is associated with a higher risk of recurrence. Excess adiposity is also a major risk factor for cardiovascular disease, the leading cause of non-BC related death in BC survivors. This study aimed to describe weight trends in a large cohort of BC survivors and to identify predictors of weight gain after BC diagnosis. Methods: This was a retrospective study of BC survivors from the prospectively consented Mayo Clinic Breast Cancer Registry, which has enrolled >10,000 patients seen at least once at Mayo Clinic Rochester for a BC diagnosed within the prior year. We extracted data on weights at baseline, and years 1, 4, and 6 after BC diagnosis to generate longitudinal weight trajectory curves on the change from baseline. Weights were either reported by patients in the registry questionnaires or extracted from the electronic health records. We identified BC survivors with weight gain >10% from baseline weight at years 1, 4, and 6. We then conducted univariable logistic regression analyses to identify predictors of >10% weight gain. Variables considered included: demographics, anthropometrics, BC clinical and pathologic characteristics, BRCA 1 and 2 genetic mutation status, and treatment (surgery, neoadjuvant or adjuvant chemotherapy, and/or radiotherapy). Results: We included 4744 BC survivors, mostly white (95%) and non-Hispanic (91%), with a mean age and weight at BC diagnosis of 58 ± 13 years and 76 ± 18 kg. Most patients had clinical stage I (43%) and ER+ and PR+ BC (83% and 76%, respectively). Most patients underwent breast preserving surgery (62%), half received radiation (54%), one third (36%) received systemic chemotherapy, and two thirds (61%) received endocrine therapy. At one year after BC diagnosis the average weight change was negligible compared to baseline (mean difference -0.2 ± 8 kg), but there were small but significant average increases by years 4 and 6 (0.5 ± 9 kg, p=0.002; and 0.8 ± 10 kg, p<0.001; respectively). At years 1, 4, and 6, the percentage of BC survivors gaining >10% of their baseline weight was 10%, 15%, and 18%, respectively. Baseline characteristics associated with >10% weight gain at 6 years included lower baseline weight (p<0.001), younger age at BC diagnosis (p<0.001), more advanced clinical and pathologic BC stage (p=0.008), ER+ and PR+ tumor biology (p=0.02 for both), BRCA2 mutation (p<0.001), mastectomy (compared to breast preserving surgeries, p=0.008), the use of systemic chemotherapy treatment (p<0.001), and the use of endocrine therapy (p=0.03). Conclusion: While most BC survivors do not experience weight gain after survivorship, 1 out 5 may experience excessive weight gain of more than 10%. Baseline anthropometric and BC-related variables are associated with excessive weight gain and could be used as predictors of weight gain in this population. Presentation: 6/3/2024

Abstract Disclosure: E. Tama: None. R. Rivera: None. S. Fansa: None. D. Anazco: None. W. Ghusn: None. S. Faubion: None. A. Acosta: Consulting Fee; Self; Amgen Inc. Grant Recipient; Self; Vivus USA, Novo Nordisk. C. Shufelt: None. M.D. Hurtado: None. Introduction: Midlife women (ages 40 to 65) experience age-related weight gain (0.4-0.7 kg/year) due to physiologic and psychosocial changes. Evidence supports that age-related decrease in lean mass and its subsequent effect on energy expenditure are key physiologic factors. To date, the are no data describing if changes in the main regulators of energy intake (i.e., hunger, satiation, and satiety) across women’s lifespan play a role in weight gain during midlife. The aim of this study is to characterize measurements of satiation, satiety, and appetite sensations through early adulthood and midlife in women with obesity. Methods: This is a cross sectional study of women aged 19-65 with overweight or obesity who have undergone measurements of (i) body composition by DXA scan; (ii) resting energy expenditure (REE) by indirect calorimetry; (iii) satiation by calories consumed to satiation (CTS) during an ad libitum meal test; (iv) satiety by time needed to empty 50% of the stomach content (GEt1/2) in a gastric emptying study and plasma satiety hormone levels (PYY, GLP-1, and CCK); and (v) appetite sensations by visual analog scales (VAS) for hunger and fullness. We present data as mean ± standard deviation. We performed simple correlations between these variables and age. We performed multiple regression analyses to adjust for body composition and REE. Results: Our cohort included 552 mostly white (93%) women, with a mean age of 41±11 years and a mean BMI of 37±7 kg/m2. Increased age significantly correlated with higher waist circumference (r=0.1, p=0.006), waist/hip ratio (r=0.1, p=0.01), and total fat mass % (r=0.1, p=0.04); and with lower lean mass % (r=-0.1, p=0.04) and REE (r=-0.3, p<0.0001). Increased age was associated with decreased hunger sensation (i.e., lower preprandial VAShunger after an overnight fast, r=-0.1, p=0.04; and lower postprandial VAShunger 4hr after a standardized 320-kcal breakfast, r=-0.1, p=0.001), stronger satiation (i.e., lower CTS, r=-0.1, p=0.001), and more prolonged satiety (i.e., higher GEt1/2, r=0.1, p=0.02; higher postprandial GLP-1 levels, r=0.1, p=0.03; and higher postprandial VASfullness after and ad libitum meal, p=0.1, p=0.008). After adjusting for lean mass % and REE, the correlations between age and hunger sensations and satiation measurement, but not satiety measurements, were maintained. Conclusion: Our results show that older women have lower lean mass % and REE. After adjusting for these variables, older women experience decreased hunger sensation and achieve satiation with a lower number of calories. As these changes in theory would protect against midlife weight gain, the differences in body composition and REE remain the most likely culprit. Further research is necessary to investigate if there are other key factors that may contribute to weight gain such as the hedonic or emotional components of food intake. Presentation: 6/2/2024