Improving risk assessment of obesity-associated breast cancer.

Authors

Neil Iyengar

Neil M. Iyengar

Memorial Sloan Kettering Cancer Center, New York, NY

Neil M. Iyengar , Ayca Gucalp , Xi K. Zhou , Hanhan Wang , Dilip D. Giri , Samantha Williams , Domenick J. Falcone , Lisle Winston , Jonathan Landa , Laurie J. Kirstein , Monica Morrow , Andrew J. Dannenberg

Organizations

Memorial Sloan Kettering Cancer Center, New York, NY, Weill Cornell Medical College, New York, NY, Memorial Sloan-Kettering Cancer Center, New York, NY, Sidney Kimmel Center for Prostate and Urologic Cancers, Memorial Sloan-Kettering Cancer Center, New York, NY

Research Funding

Conquer Cancer Foundation of the American Society of Clinical Oncology
Other Foundation

Background: Elevated body mass index (BMI) is associated with increased risk of estrogen receptor (ER)-positive postmenopausal breast cancer. The risk is also elevated in women with a normal BMI but excess body fat. These risks may be driven by breast white adipose tissue inflammation (WATi), which is associated with elevated aromatase levels and systemic metabolic dysfunction (e.g. hyperinsulinemia). We hypothesized that body fat assessment is superior to BMI for detecting the pathophysiology that promotes obesity-related breast cancer, particularly among normal BMI women. Methods: Non-tumorous breast tissue was collected from women undergoing mastectomy for breast cancer treatment or prevention. Breast WATi was detected by the presence of crown-like structures in the breast, which are composed of a dead/dying adipocyte surrounded by CD68+ macrophages. Body composition was measured prior to mastectomy via dual energy X-ray absorptiometry. Exercise behavior was also assessed prior to surgery using the Godin Leisure Time Exercise Questionnaire. Associations among categorical variables were examined using Χ2 or Fisher’s exact test. Relationships between continuous variables were examined using the Spearman correlation. Results: From April 5, 2016 to August 31, 2018, 100 patients were enrolled; median age 49 (range 29 to 82) years. Breast WATi was present in 56/100 (56%) women and was associated with elevated BMI and body fat levels, breast adipocyte hypertrophy, postmenopausal status, metabolic syndrome and decreased physical activity (P < 0.05). Among 39 women with normal BMI, breast WATi was present in 14 (36%) and was associated with elevated body fat levels, breast adipocyte hypertrophy, dyslipidemia, and decreased physical activity (P < 0.05). There was no statistically significant association between BMI and breast WATi in the normal BMI group. Menopausal status and total fat mass had greater sensitivity and specificity for the detection of breast WATi compared to a BMI-based model (AUC 0.843 vs. 0.779, respectively). Conclusions: Measurement of body fat is superior to BMI for predicting breast inflammation, which has been shown to promote obesity-related breast cancer.

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Abstract Details

Meeting

2019 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Cancer Prevention, Hereditary Genetics, and Epidemiology

Track

Prevention, Risk Reduction, and Genetics

Sub Track

Cancer Prevention

Citation

J Clin Oncol 37, 2019 (suppl; abstr 1544)

DOI

10.1200/JCO.2019.37.15_suppl.1544

Abstract #

1544

Poster Bd #

38

Abstract Disclosures

Funded by Conquer Cancer

Similar Abstracts

First Author: AHMED KHATTAB

First Author: Ahmed Khattab

Abstract

2022 ASCO Annual Meeting

The impact of BMI on the response to immunotherapy in lung cancer.

First Author: Yuan Ying