Ontology highlight
ABSTRACT: Background
Anthracyclines are highly effective in treating cancer, albeit with increased cardiomyopathy risk. Although risk is attributed to associations with single nucleotide polymorphisms (SNPs), multiple SNPs on a gene and their interactions remain unexamined.Objectives
This study examined gene-level associations with cardiomyopathy among cancer survivors using whole-exome sequencing data.Methods
For discovery, 278 childhood cancer survivors (129 cases; 149 matched control subjects) from the COG (Children's Oncology Group) study ALTE03N1 were included. Logic regression (machine learning) was used to identify gene-level SNP combinations for 7,212 genes and ordinal logistic regression to estimate gene-level associations with cardiomyopathy. Models were adjusted for primary cancer, age at cancer diagnosis, sex, race/ethnicity, cumulative anthracycline dose, chest radiation, cardiovascular risk factors, and 3 principal components. Statistical significance threshold of 6.93 × 10-6 accounted for multiple testing. Three independent cancer survivor populations (COG study, BMTSS [Blood or Marrow Transplant Survivor Study] and CCSS [Childhood Cancer Survivor Study]) were used to replicate gene-level associations and examine SNP-level associations from discovery genes using ordinal logistic, conditional logistic, and Cox regression models, respectively.Results
Median age at cancer diagnosis for discovery cases and control subjects was 6 years and 8 years, respectively. Gene-level association for P2RX7 (OR: 0.10; 95% CI: 0.04-0.27; P = 2.19 × 10-6) was successfully replicated (HR: 0.65; 95% CI: 0.47-0.90; P = 0.009) in the CCSS cohort. Additional signals were identified on TNIK, LRRK2, MEFV, NOBOX, and FBN3. Individual SNPs across all discovery genes, except FBN3, were replicated.Conclusions
In our study, SNP sets having 1 or no copies of P2RX7 variant alleles were associated with reduced risk of cardiomyopathy, presenting a potential therapeutic target to mitigate cardiac outcomes in cancer survivors.
SUBMITTER: Sharafeldin N
PROVIDER: S-EPMC10774788 | biostudies-literature | 2023 Dec
REPOSITORIES: biostudies-literature
Sharafeldin Noha N Zhou Liting L Singh Purnima P Crossman David K DK Wang Xuexia X Hageman Lindsey L Landier Wendy W Blanco Javier G JG Burridge Paul W PW Sapkota Yadav Y Yasui Yutaka Y Armstrong Gregory T GT Robison Leslie L LL Hudson Melissa M MM Oeffinger Kevin K Chow Eric J EJ Armenian Saro H SH Weisdorf Daniel J DJ Bhatia Smita S
JACC. CardioOncology 20230914 6
<h4>Background</h4>Anthracyclines are highly effective in treating cancer, albeit with increased cardiomyopathy risk. Although risk is attributed to associations with single nucleotide polymorphisms (SNPs), multiple SNPs on a gene and their interactions remain unexamined.<h4>Objectives</h4>This study examined gene-level associations with cardiomyopathy among cancer survivors using whole-exome sequencing data.<h4>Methods</h4>For discovery, 278 childhood cancer survivors (129 cases; 149 matched co ...[more]