蒽环类
心脏毒性
乳腺癌
肿瘤科
内科学
外显子组测序
队列
癌症
支票2
外显子组
医学
生物
生物信息学
遗传学
基因
化疗
突变
种系突变
作者
Sara Ruiz‐Pinto,Guillermo Pita,Miguel Martín,Teresa Alonso‐Gordoa,Daniel R. Barnes,María R. Alonso,Belén Herráez,Purificación García‐Miguel,Javier Alonso,Antonio Pérez‐Martínez,Antonio J. Cartón,Federico Gutiérrez‐Larraya,José Á. García-Sáenz,Javier Benı́tez,Douglas F. Easton,Ana Patiño‐García,Anna González‐Neira
标识
DOI:10.1007/s10549-017-4497-9
摘要
Anthracyclines are widely used chemotherapeutic drugs that can cause progressive and irreversible cardiac damage and fatal heart failure. Several genetic variants associated with anthracycline-induced cardiotoxicity (AIC) have been identified, but they explain only a small proportion of the interindividual differences in AIC susceptibility. In this study, we evaluated the association of low-frequency variants with risk of chronic AIC using the Illumina HumanExome BeadChip array in a discovery cohort of 61 anthracycline-treated breast cancer patients with replication in a second independent cohort of 83 anthracycline-treated pediatric cancer patients, using gene-based tests (SKAT-O). The most significant associated gene in the discovery cohort was ETFB (electron transfer flavoprotein beta subunit) involved in mitochondrial β-oxidation and ATP production (P = 4.16 × 10−4) and this association was replicated in an independent set of anthracycline-treated cancer patients (P = 2.81 × 10−3). Within ETFB, we found that the missense variant rs79338777 (p.Pro52Leu; c.155C > T) made the greatest contribution to the observed gene association and it was associated with increased risk of chronic AIC in the two cohorts separately and when combined (OR 9.00, P = 1.95 × 10−4, 95% CI 2.83–28.6). We identified and replicated a novel gene, ETFB, strongly associated with chronic AIC independently of age at tumor onset and related to anthracycline-mediated mitochondrial dysfunction. Although experimental verification and further studies in larger patient cohorts are required to confirm our finding, we demonstrated that exome array data analysis represents a valuable strategy to identify novel genes contributing to the susceptibility to chronic AIC.
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