Incident Type 2 Diabetes Risk of Selective Estrogen Receptor Modulators in Female Patients with Breast Cancer

Accumulating evidence indicates a link between diabetes and cancer. Selective estrogen receptor modulators (SERMs) may increase diabetes risk via antiestrogen effects. This study investigated incident diabetes risk of SERM treatment and its effects on metastatic cancer and death prevention in breast cancer survivors. This retrospective cohort study included female patients with early-stage breast cancer, treated with or without SERMs, between 2008 and 2020 in a tertiary care hospital in Korea. Four propensity score-matched comparison pairs were designed: SERM use versus non-use, long-term use (≥1500 days) versus non-use, tamoxifen use versus non-use, and toremifene use versus non-use; then, logistic regression analysis was performed for risk analysis. SERMs in general were not associated with an elevated risk of diabetes; however, when used for ≥1500 days, SERMs—especially toremifene—substantially increased diabetes risk in breast cancer patients (OR 1.63, p = 0.048). Meanwhile, long-term SERM treatment was effective at preventing metastatic cancer (OR 0.20, p < 0.001) and death (OR 0.13, p < 0.001). SERM treatment, albeit generally safe and effective, may increase diabetes risk with its long-term use in women with breast cancer. Further studies are required to verify the association between toremifene treatment and incident diabetes.

Abstract P447: Index of Concentration at the Extremes and Diabetes Prevalence: The Reasons for Geographic and Racial Differences in Stroke (regards) Study

Background: Stark regional and racial disparities in diabetes prevalence exist in the US. Community-level factors (e.g., median income) have been associated with higher diabetes prevalence. However, few studies have investigated how community-level spatial polarization, specifically in race and income, may relate to diabetes burden. Objective: To investigate the association between the Index of Concentration at the Extremes (ICE), a measure that reflects polarization in race and income at the community-level, and individual-level diabetes prevalence. Methods: This analysis included 24,752 Black and White adults age ≥ 45 years at baseline (2003-2007) from the REGARDS Study. The ICE measure quantifies the concentration of community affluence and poverty in a census tract using both income and race jointly, with values ranging from -1 (most deprived) to +1 (most privileged). Diabetes was defined as fasting glucose ≥ 126 mg/dL or random glucose ≥ 200 mg/dL or use of diabetes medication. Modified Poisson regression was used to obtain prevalence ratios and 95% CI for the association of ICE quartiles with prevalent diabetes. Results: The overall prevalence of diabetes was 21% and was highest for adults living in the most deprived census tracts (28.3%) and lowest for those living in the most privileged census tracts (12.5%). The association between ICE and prevalent diabetes was graded in crude analyses but attenuated after adjustment for individual-level sociodemographic, lifestyle and clinical factors (Table). Conclusion: Communities with greater polarization in race and income had a higher burden of diabetes. This association was mostly explained by individual-level socioeconomic and lifestyle factors. Further investigation of community-level attributes and how they relate to individual-level factors that increase diabetes risk is needed.

The Double Burden of Infectious Diseases and Diabetes—A Bidirectional Relationship

There is growing evidence for an etiological interaction between infectious diseases and diabetes, as well as for bidirectional influence of clinical presentation, spread, and outcomes. Some HIV treatments increase diabetes risk, and some infectious diseases may determine unique phenotypes of diabetes. Individuals who have type 2 diabetes have increased risk for tuberculosis and viral hepatitis and have poorer treatment outcomes. Joint noncommunicable diseases (NCDs) and infectious diseases clinics are the ideal method of tackling the double burden of these diseases in developing countries.

The Double Burden of Infectious Diseases and Diabetes—A Bidirectional Relationship

There is growing evidence for an etiological interaction between infectious diseases and diabetes, as well as for bidirectional influence of clinical presentation, spread, and outcomes. Some HIV treatments increase diabetes risk, and some infectious diseases may determine unique phenotypes of diabetes. Individuals who have type 2 diabetes have increased risk for tuberculosis and viral hepatitis and have poorer treatment outcomes. Joint noncommunicable diseases (NCDs) and infectious diseases clinics are the ideal method of tackling the double burden of these diseases in developing countries.