Evidence map›Paper›PMID 40714937›Full record

ArticleCPT: pharmacometrics & systems pharmacology2025

Mitigating Trastuzumab-Doxorubicin Cardiotoxicity With Multiscale Quantitative Systems Toxicology and PBPK-Toxicodynamic Predictive Modeling Framework.

Sijia Yu, Hardik Mody, Tanaya R Vaidya, Leonid Kagan, Sihem Ait-Oudhia

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sijia YuDepartment of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.ORCID 0009-0005-4260-3138
Hardik ModyDepartment of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida, USA.
Tanaya R VaidyaDepartment of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, Florida, USA.ORCID 0000-0001-6340-1387
Leonid KaganDepartment of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.ORCID 0000-0003-3863-4757
Sihem Ait-OudhiaQuantitative Pharmacology and Pharmacometrics (QP2), Merck & Co., Inc, Rahway, New Jersey, USA.ORCID 0000-0002-9794-8601

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCardiotoxicityDoxorubicinTrastuzumabApoptosisBiomarkersBreast NeoplasmsCaspase 3Caspase 9Cell SurvivalFemaleHumansModels, BiologicalMyocytes, CardiacNatriuretic Peptide, BrainPeptide FragmentsBiomarkersCaspase 3Caspase 9DoxorubicinNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Trastuzumabcardiotoxicitydose optimisationdrug interactionHER2‐positive breast cancerNT‐proBNP cardiomyocyte‐injury biomarker

Identifiers

PMID40714937
PMCPMC12521046

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.