Endometrial cancer associated biomarkers in bariatric surgery candidates: exploration of racial differences.

ABSTRACT

BACKGROUND: Obesity is the main risk factor for endometrial cancer (EC), the most common gynecologic malignancy in the United States. A number of potential risk biomarkers have been associated with EC development, including altered proinflammatory cytokines, chemokines, and adipokines. OBJECTIVES: The overarching aim of this research is to investigate racial differences in the expression of EC-associated biomarkers among bariatric surgery candidates. SETTING: Tertiary academic medical center METHODS: Blood samples were collected from 175 women aged 18 to 72 (mean age 42.93; standard deviation 11.66), before bariatric surgery. Levels of biomarkers associated with obesity and EC risk were measured using xMAP immunoassays. Wilcoxon rank sum and Fisher's exact tests were utilized to compare biomarker and demographic variables between African American and European American women. Linear regression models, adjusted for menopause status and diabetes, were utilized to identify factors associated with biomarker levels. RESULTS: When the biomarker levels were compared by race, insulin-like growth factor-binding protein 1 and adiponectin were significantly lower in African American women (P<.05), whereas estradiol was significantly higher in African American women (P<.05). Linear regression models found that race significantly predicted insulin-like growth factor binding protein 1, adiponectin, resistin, and interleukin-1 receptor alpha expression levels, menopause status and diabetes status were significantly associated with adiponectin and leptin levels, whereas body mass index was significantly associated with leptin, adiponectin, interleukin-1 receptor alpha, and interleukin-6 levels. CONCLUSION: As one of the first efforts to explore racial differences in EC-associated biomarkers in a cohort of women with severe obesity, this study found several significant differences that should be further explored in large-scale studies.