Obesity has been associated with poor breast cancer prognosis, however most studies have focused on body mass index (BMI) and few have considered the distribution of adipose tissue. We investigated associations between prediagnostic adiposity and breast cancer survival, considering BMI, waist and hip circumferences (WC and HC), and waist-to-hip ratio (WHR).Analyses included 3,006 women from the French E3N prospective cohort study diagnosed with primary invasive breast cancer between 1995 and 2008. We investigated overall, breast cancer-specific, and disease-free survival, overall and according to stage, menopausal and hormonal status and year of diagnosis, using Cox proportional hazard models adjusted for tumor characteristics and lifestyle risk factors.Women with a prediagnostic HC > 100 cm were at increased risk of death from all causes (hazard ratio (HR) >100vs < 95 cm 5 1.38, 95% Confidence Interval (CI) 5 1.02-1.86, P trend 5 0.02) and from breast cancer (HR >100vs < 95 cm 5 1.50, CI 5 1.03-2.17, P trend 5 0.03), and of second invasive cancer event (HR >100vs < 95 cm 5 1.36, CI 5 1.11-1.67, P trend 5 0.002), compared to those with HC <95 cm. Associations were stronger after adjustment for BMI. BMI, WC and WHR were not associated with survival after breast cancer. Our study underlines the importance of going beyond BMI when studying the association between adiposity and breast cancer survival. Further studies should be conducted to confirm our results on hip circumference.Breast cancer is the most prevalent cancer in women in both developed and developing countries. 1 With 5-year relative survival rates of 80% or more in developed countries, 2 an increasing number of women are currently living with a diagnosis of breast cancer. For these cancer survivors, it is essential to identify modifiable risk factors that could influence their prognosis.Breast cancer characteristics such as TNM stage, lymph node status, tumor size, tumor grade, histological type, lymphatic and vascular invasion, hormone receptor and HER2 status, and age at diagnosis are known predictive or prognostic factors. 3,4 A recent meta-analysis conducted by the World Cancer Research Fund (WCRF) has shown that obesity and excess weight before diagnosis were associated with increased mortality (from all causes and from breast cancer). 5 However, the WCRF expert panel judged that the level of evidence for the association between a healthy body mass index (BMI) and a better survival was only limited, despite suggestive evidence. 6 Weaknesses have been underlined in observational studies as well as in clinical trials. In particular, cohort studies need to assess more systematically important prognostic factors, such as tumor characteristics, treatment or time period of cancer diagnosis (because of rapid changes in treatments). On the other hand, results from clinical trials, which