Key result
Translational platform successfully predicts up to ~10% systolic dysfunction incidence with sequential doxorubicin-trastuzumab.
Why the study?
Quantitatively predicting ejection fraction reduction from antineoplastic drugs using hiPSC-CMs is challenging because in vitro models lack the body's systemic regulatory response to cardiomyocyte injury.
An in vitro-in vivo translational platform using hiPSC-CMs successfully predicted the clinical incidence of doxorubicin and trastuzumab-induced systolic dysfunction, offering a method to assess cardiotoxicity risk of antineoplastic drug combinations.
Answers are grounded in this paper and cite their sources.
Supports preclinical cardiotoxicity screening with hiPSC-CMs; leaves open clinical translation for risk prediction.
Objective Antineoplastic agent-induced systolic dysfunction is a major reason for interruption of anticancer treatment. Although targeted anticancer agents infrequently cause systolic dysfunction, their combinations with chemotherapies remarkably increase the incidence. Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide a potent in vitro model to assess cardiovascular safety. However, quantitatively predicting the reduction of ejection fraction based on hiPSC-CMs is challenging due to the absence of the body's regulatory response to cardiomyocyte injury. Methods Here, we developed and validated an in vitro-in vivo translational platform to assess the reduction of ejection fraction induced by antineoplastic drugs based on hiPSC-CMs. The translational platform integrates drug exposure, drug-cardiomyocyte interaction, and systemic response. The drug-cardiomyocyte interaction was implemented as a mechanism-based toxicodynamic (TD) model, which was then integrated into a quantitative system pharmacology-physiological-based pharmacokinetics (QSP-PBPK) model to form a complete translational platform. The platform was validated by comparing the model-predicted and clinically observed incidence of doxorubicin and trastuzumab-induced systolic dysfunction. Results A total of 33,418 virtual patients were incorporated to receive doxorubicin and trastuzumab alone or in combination. For doxorubicin, the QSP-PBPK-TD model successfully captured the overall trend of systolic dysfunction incidences against the cumulative doses. For trastuzumab, the predicted incidence interval was 0.31–2.7% for single-agent treatment and 0.15–10% for trastuzumab-doxorubicin sequential treatment, covering the observations in clinical reports (0.50–1.0% and 1.5–8.3%, respectively). Conclusions In conclusion, the in vitro-in vivo translational platform is capable of predicting systolic dysfunction incidence almost merely depend on hiPSC-CMs, which could facilitate optimizing the treatment protocol of antineoplastic agents.
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Sang et al. (2023) studied Antineoplastic agent-induced systolic dysfunction (n=33,418). Doxorubicin and trastuzumab (alone, sequential, or concurrent) vs. Clinical observation reports was evaluated on Incidence of systolic dysfunction (LVEF reduction >10% from baseline or to <50%). The in vitro-in vivo translational platform successfully predicted the incidence of systolic dysfunction, estimating 0.31-2.7% for trastuzumab alone and 0.15-10% for sequential doxorubicin-trastuzumab.
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