Sijia Yu, Hardik Mody, Tanaya R Vaidya, Leonid Kagan, Sihem Ait-Oudhia
{"title":"用多尺度定量系统毒理学和pbpk -毒理学预测模型框架减轻曲妥珠单抗-阿霉素心脏毒性。","authors":"Sijia Yu, Hardik Mody, Tanaya R Vaidya, Leonid Kagan, Sihem Ait-Oudhia","doi":"10.1002/psp4.70087","DOIUrl":null,"url":null,"abstract":"<p><p>Doxorubicin (DOX) and trastuzumab (TmAb) are widely used to treat HER2-positive breast cancer (BC), as monotherapies and in combination (DOX + TmAb). While highly effective, their combined use significantly increases the risk of irreversible cardiotoxicity, posing a major clinical concern. B-type natriuretic peptide (BNP) and NT-proBNP are serum biomarkers of early cardiotoxicity. Understanding the dynamic relationship between these biomarkers and intracellular apoptosis pathways is key to predicting and mitigating treatment-induced cardiotoxicity. This study aims to extend a previously developed multiscale modeling framework of DOX-induced cardiotoxicity to include DOX + TmAb combinatorial effects and to predict clinical outcomes. Human cardiomyocytes were exposed to different concentrations of DOX, TmAb, DOX + TmAb, or control for 96 h. Time-course data for caspase-9 and -3 expression, cell viability, and BNP were collected and used to develop mathematical models for intracellular apoptosis-signaling protein dynamics, cardiomyocyte viability, and cardiomyocyte injury biomarkers. The cellular model was scaled up to humans with a previously published TmAb human PBPK model using NT-proBNP data and evaluated with left ventricular ejection fraction measurements. The quantitative systems toxicology (QST) model successfully captured in vitro dynamic data across treatment groups. Caspase-3 drove the cardiomyocyte-death model. Multiplicative and additive relationships characterized drug interactions to reflect the enhanced cardiotoxicity seen with DOX + TmAb. The predicted clinical BNP changes were consistent with LVEF dynamics from BC patients treated with TmAb. The QST-PBPK model bridges in vitro experimental findings with clinical cardiotoxicity outcomes. It provides a predictive tool for cardiotoxicity, aiding potentially in dose optimization and clinical monitoring for HER2-positive BC patients.</p>","PeriodicalId":10774,"journal":{"name":"CPT: Pharmacometrics & Systems Pharmacology","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mitigating Trastuzumab-Doxorubicin Cardiotoxicity With Multiscale Quantitative Systems Toxicology and PBPK-Toxicodynamic Predictive Modeling Framework.\",\"authors\":\"Sijia Yu, Hardik Mody, Tanaya R Vaidya, Leonid Kagan, Sihem Ait-Oudhia\",\"doi\":\"10.1002/psp4.70087\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Doxorubicin (DOX) and trastuzumab (TmAb) are widely used to treat HER2-positive breast cancer (BC), as monotherapies and in combination (DOX + TmAb). While highly effective, their combined use significantly increases the risk of irreversible cardiotoxicity, posing a major clinical concern. B-type natriuretic peptide (BNP) and NT-proBNP are serum biomarkers of early cardiotoxicity. Understanding the dynamic relationship between these biomarkers and intracellular apoptosis pathways is key to predicting and mitigating treatment-induced cardiotoxicity. This study aims to extend a previously developed multiscale modeling framework of DOX-induced cardiotoxicity to include DOX + TmAb combinatorial effects and to predict clinical outcomes. Human cardiomyocytes were exposed to different concentrations of DOX, TmAb, DOX + TmAb, or control for 96 h. Time-course data for caspase-9 and -3 expression, cell viability, and BNP were collected and used to develop mathematical models for intracellular apoptosis-signaling protein dynamics, cardiomyocyte viability, and cardiomyocyte injury biomarkers. The cellular model was scaled up to humans with a previously published TmAb human PBPK model using NT-proBNP data and evaluated with left ventricular ejection fraction measurements. The quantitative systems toxicology (QST) model successfully captured in vitro dynamic data across treatment groups. Caspase-3 drove the cardiomyocyte-death model. Multiplicative and additive relationships characterized drug interactions to reflect the enhanced cardiotoxicity seen with DOX + TmAb. The predicted clinical BNP changes were consistent with LVEF dynamics from BC patients treated with TmAb. The QST-PBPK model bridges in vitro experimental findings with clinical cardiotoxicity outcomes. It provides a predictive tool for cardiotoxicity, aiding potentially in dose optimization and clinical monitoring for HER2-positive BC patients.</p>\",\"PeriodicalId\":10774,\"journal\":{\"name\":\"CPT: Pharmacometrics & Systems Pharmacology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CPT: Pharmacometrics & Systems Pharmacology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/psp4.70087\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CPT: Pharmacometrics & Systems Pharmacology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/psp4.70087","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
Mitigating Trastuzumab-Doxorubicin Cardiotoxicity With Multiscale Quantitative Systems Toxicology and PBPK-Toxicodynamic Predictive Modeling Framework.
Doxorubicin (DOX) and trastuzumab (TmAb) are widely used to treat HER2-positive breast cancer (BC), as monotherapies and in combination (DOX + TmAb). While highly effective, their combined use significantly increases the risk of irreversible cardiotoxicity, posing a major clinical concern. B-type natriuretic peptide (BNP) and NT-proBNP are serum biomarkers of early cardiotoxicity. Understanding the dynamic relationship between these biomarkers and intracellular apoptosis pathways is key to predicting and mitigating treatment-induced cardiotoxicity. This study aims to extend a previously developed multiscale modeling framework of DOX-induced cardiotoxicity to include DOX + TmAb combinatorial effects and to predict clinical outcomes. Human cardiomyocytes were exposed to different concentrations of DOX, TmAb, DOX + TmAb, or control for 96 h. Time-course data for caspase-9 and -3 expression, cell viability, and BNP were collected and used to develop mathematical models for intracellular apoptosis-signaling protein dynamics, cardiomyocyte viability, and cardiomyocyte injury biomarkers. The cellular model was scaled up to humans with a previously published TmAb human PBPK model using NT-proBNP data and evaluated with left ventricular ejection fraction measurements. The quantitative systems toxicology (QST) model successfully captured in vitro dynamic data across treatment groups. Caspase-3 drove the cardiomyocyte-death model. Multiplicative and additive relationships characterized drug interactions to reflect the enhanced cardiotoxicity seen with DOX + TmAb. The predicted clinical BNP changes were consistent with LVEF dynamics from BC patients treated with TmAb. The QST-PBPK model bridges in vitro experimental findings with clinical cardiotoxicity outcomes. It provides a predictive tool for cardiotoxicity, aiding potentially in dose optimization and clinical monitoring for HER2-positive BC patients.