Faculty, Staff and Student Publications

Publication Date

11-3-2025

Journal

Cancer Epidemiology, Biomarkers & Prevention

DOI

10.1158/1055-9965.EPI-25-0338

PMID

40853264

PMCID

PMC12577755

PubMedCentral® Posted Date

8-25-2025

PubMedCentral® Full Text Version

Post-print

Abstract

Background: Dyslipidemia can occur as a long-term side effect of childhood cancer treatment. The difference in prevalence among children receiving comparable treatment suggests a role for genetic variation. We conducted the first genome-wide association study on dyslipidemia in a large childhood cancer survivor cohort, using three additional cohorts for replication.

Methods: Discovery analysis was performed in the original Childhood Cancer Survivor Study (CCSS) cohort (N = 4,332). Replication analyses were carried out in the CCSS expansion (N = 2,212), St. Jude Lifetime (N = 2,829), and Dutch Childhood Cancer Survivor Study (DCCSS-LATER) (N = 1,814) cohorts. In the CCSS cohorts, dyslipidemia was defined as Common Terminology Criteria for Adverse Events grade 2 self-reported high cholesterol or high triglycerides, whereas in the St. Jude Lifetime and DCCSS-LATER cohorts, it was assessed by serum lipid measurements. Association analysis was performed in the entire cohort and stratified by cancer treatment.

Results: The initial discovery analysis yielded one genome-wide significant (p < 5 × 10-8) and 16 suggestive (p < 5 × 10-6) loci associated with dyslipidemia risk. Of these, one genome-wide significant and eight suggestive loci with biological plausibility were selected for replication analysis, but none replicated. Additionally, treatment-stratified analysis revealed six significant (p < 5 × 10-8) loci, none of which replicated in meta-analysis.

Conclusions: Further research with clinically assessed data and larger sample sizes is needed to explore the genetic contributions to dyslipidemia risk in childhood cancer survivors.

Impact: The establishment of larger, internationally collaborative consortia of childhood cancer survivors is critical for generating more robust findings, which will help the identification of those survivors at risk for dyslipidemia and subsequently cardiovascular disease.

Keywords

Humans, Dyslipidemias, Cancer Survivors, Male, Female, Adult, Neoplasms, Genome-Wide Association Study, Child, Cohort Studies, Adolescent

Published Open-Access

yes

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