BACKGROUND
Potential late effects of treatment for childhood cancer include adiposity, insulin resistance, dyslipidemia and hypertension. These risk factors cluster together as metabolic syndrome (MetS) and increase the risk for development of diabetes mellitus and cardio- and cerebrovascular disease. Knowledge on risk factors, timely diagnosis and preventive strategies is of importance to prevent cardio- and cerebrovascular complications and improve quality of life. Currently, no studies in national cohorts on prevalence and determinants of MetS in childhood cancer survivors including biomarkers and genetic predisposition are available.
OBJECTIVE
The objectives of the Dutch LATER METS study are to assess 1) the prevalence and risk factors of MetS and its separate components, and 2) the potential value of additional biomarkers, in the national cohort of adult long-term survivors of childhood cancer.
METHODS
This is a cross-sectional study, based on recruitment of all survivors treated in the Netherlands between 1963 and 2002. MetS will be classified according to the definitions of the National Cholesterol Education Program (NCEP-ATP III) as well as the Joint Interim Statement (JIS), and compared to reference data. Dual-energy X-ray absorptiometry (DXA) scans were performed to assess body composition in more detail. The effect of patient characteristics, previous treatment, and genetic variation on the risk of MetS will be assessed. The diagnostic and predictive value of novel biomarkers will be tested.
RESULTS
Patient accrual started in 2016 and lasted until April 2020. A total of 2380 survivors has participated, in seven pediatric oncology hospitals. From July 2020, biomarker testing, SNP analysis and data analysis will be performed.
CONCLUSIONS
The Dutch LATER METS study will provide knowledge on clinical and genetic determinants of MetS, and the diagnostic value of biomarkers, in childhood cancer survivors. The results of this study will be used to optimize surveillance guidelines for MetS in survivors, based on enhanced risk stratification and screening strategies. This will improve diagnosis of MetS, and prevent complications.
CLINICALTRIAL
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