Intermediate molecular phenotypes to identify genetic markers of anthracycline-induced cardiotoxicity risk
Aurora Gómez-Vecino, Roberto Corchado‐CobosiD, Adrián Blanco‐GómeziD, Natalia García‐SanchaiD, Sonia Castillo‐LluvaiD, Ana Martín‐GarciaiD, Marina Mendiburu‐EliçabeiD, Carlos Alberto Vanegas PrietoiD, Sara Ruiz‐Pinto, Guillermo PitaiD, Alejandro Velasco-RuíziD, María Carmen Patino-AlonsoiD, Purificación Galindo‐VillardóniD, María Linarejos Vera-PedrosaiD, José JalifeiD, Jian‐Hua MaoiD, Guillermo Macías de Plasencia, Andrés Castellanos‐MartíniD, María del Mar Sáez‐Freire, Susana Fraile, Telmo Rodrigues-TeixeiraiD, Carmen García-Macías, Julie Milena Galvis-JiméneziD, Asunción Garcı́a-SáncheziD, María Isidoro‐GarcíaiD, , Jesús Pérez‐LosadaiD
Abstract
Cardiotoxicity due to anthracyclines (CDA) affects cancer patients, but we cannot predict who may suffer from this complication. CDA is a complex disease whose polygenic component is mainly unidentified. We propose that levels of intermediate molecular phenotypes in the myocardium associated with histopathological damage could explain CDA susceptibility; so that variants of genes encoding these intermediate molecular phenotypes could identify patients susceptible to this complication. A genetically heterogeneous cohort of mice generated by backcrossing (N = 165) was treated with doxorubicin and docetaxel. Cardiac histopathological damage was measured by fibrosis and cardiomyocyte size by an Ariol slide scanner. We determine intramyocardial levels of intermediate molecular phenotypes of CDA associated with histopathological damage and quantitative trait loci (ipQTLs) linked to them. These ipQTLs seem to contribute to the missing heritability of CDA because they improve the heritability explained by QTL directly linked to CDA (cda-QTLs) through genetic models. Genes encoding these molecular subphenotypes were evaluated as genetic markers of CDA in three cancer patient cohorts (N = 517) whose cardiac damage was quantified by echocardiography or Cardiac Magnetic Resonance. Many SNPs associated with CDA were found using genetic models. LASSO multivariate regression identified two risk score models, one for pediatric cancer patients and the other for women with breast cancer. Molecular intermediate phenotypes associated with heart damage can identify genetic markers of CDA risk, thereby allowing a more personalized patient management. A similar strategy could be applied to identify genetic markers of other complex trait diseases.
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