Instituto de Biología Molecular y Celular del Cáncer (IBMCC-CIC), Universidad de Salamanca/CSIC, 37007 Salamanca, Spain.
Instituto de Investigación Biosanitaria de Salamanca (IBSAL), 37007 Salamanca, Spain.
Cells. 2023 Jul 27;12(15):1956. doi: 10.3390/cells12151956.
Cardiotoxicity due to anthracyclines (CDA) affects cancer patients, but we cannot predict who may suffer from this complication. CDA is a complex trait with a polygenic component that is mainly unidentified. We propose that levels of intermediate molecular phenotypes (IMPs) in the myocardium associated with histopathological damage could explain CDA susceptibility, so variants of genes encoding these IMPs could identify patients susceptible to this complication. Thus, a genetically heterogeneous cohort of mice ( = 165) generated by backcrossing were treated with doxorubicin and docetaxel. We quantified heart fibrosis using an Ariol slide scanner and intramyocardial levels of IMPs using multiplex bead arrays and QPCR. We identified quantitative trait loci linked to IMPs (ipQTLs) and cdaQTLs via linkage analysis. In three cancer patient cohorts, CDA was quantified using echocardiography or Cardiac Magnetic Resonance. CDA behaves as a complex trait in the mouse cohort. IMP levels in the myocardium were associated with CDA. ipQTLs integrated into genetic models with cdaQTLs account for more CDA phenotypic variation than that explained by cda-QTLs alone. Allelic forms of genes encoding IMPs associated with CDA in mice, including AKT1, MAPK14, MAPK8, STAT3, CAS3, and TP53, are genetic determinants of CDA in patients. Two genetic risk scores for pediatric patients ( = 71) and women with breast cancer ( = 420) were generated using machine-learning Least Absolute Shrinkage and Selection Operator (LASSO) regression. Thus, IMPs associated with heart damage identify genetic markers of CDA risk, thereby allowing more personalized patient management.
蒽环类药物(CDA)引起的心脏毒性会影响癌症患者,但我们无法预测哪些患者可能会出现这种并发症。CDA 是一种具有多基因成分的复杂特征,主要尚未确定。我们提出,与组织病理学损伤相关的心肌中间分子表型(IMPs)水平可能可以解释 CDA 的易感性,因此编码这些 IMPs 的基因变体可以识别易患这种并发症的患者。因此,通过回交生成了一个遗传异质性的小鼠队列(=165),并用多柔比星和多西他赛进行处理。我们使用 Ariol 幻灯片扫描仪来量化心脏纤维化,使用多重珠阵列和 QPCR 来量化心肌内 IMPs 水平。我们通过连锁分析鉴定了与 IMPs 相关的数量性状基因座(ipQTLs)和 cdaQTLs。在三个癌症患者队列中,通过超声心动图或心脏磁共振来量化 CDA。在小鼠队列中,CDA 表现为一种复杂的特征。心肌中的 IMP 水平与 CDA 相关。ipQTLs 与 cdaQTLs 整合到遗传模型中,比仅由 cda-QTLs 解释的 CDA 表型变异更多。与小鼠 CDA 相关的 IMPs 编码基因的等位形式,包括 AKT1、MAPK14、MAPK8、STAT3、CAS3 和 TP53,是患者 CDA 的遗传决定因素。使用机器学习最小绝对收缩和选择算子(LASSO)回归为儿科患者(=71)和乳腺癌女性患者(=420)生成了两个遗传风险评分。因此,与心脏损伤相关的 IMPs 确定了 CDA 风险的遗传标记,从而可以进行更个性化的患者管理。