Quantitative evaluation of trastuzumab deruxtecan pharmacokinetics and pharmacodynamics in mouse models of varying degrees of HER2 expression.
Christina VasalouTheresa A ProiaLaura KazlauskasAnna PrzybylaMatthew SungSrinivas MamidiKim MarateaMatthew GriffinRebecca SargeantJelena UrosevicAnton I RosenbaumJiaqi YuanKrishna C AluriDiane RamsdenNiresh HariparsadRhys D O JonesJerome T MettetalPublished in: CPT: pharmacometrics & systems pharmacology (2024)
Trastuzumab deruxtecan (T-DXd; DS-8201; ENHERTU®) is a human epithelial growth factor receptor 2 (HER2)-directed antibody drug conjugate (ADC) with demonstrated antitumor activity against a range of tumor types. Aiming to understand the relationship between antigen expression and downstream efficacy outcomes, T-DXd was administered in tumor-bearing mice carrying NCI-N87, Capan-1, JIMT-1, and MDA-MB-468 xenografts, characterized by varying HER2 levels. Plasma pharmacokinetics (PK) of total antibody, T-DXd, and released DXd and tumor concentrations of released DXd were evaluated, in addition to monitoring γΗ2AX and pRAD50 pharmacodynamic (PD) response. A positive relationship was observed between released DXd concentrations in tumor and HER2 expression, with NCI-N87 xenografts characterized by the highest exposures compared to the remaining cell lines. γΗ2AX and pRAD50 demonstrated a sustained increase over several days occurring with a time delay relative to tumoral-released DXd concentrations. In vitro investigations of cell-based DXd disposition facilitated the characterization of DXd kinetics across tumor cells. These outputs were incorporated into a mechanistic mathematical model, utilized to describe PK/PD trends. The model captured plasma PK across dosing arms as well as tumor PK in NCI-N87, Capan-1, and MDA-MB-468 models; tumor concentrations in JIMT-1 xenografts required additional parameter adjustments reflective of complex receptor dynamics. γΗ2AX longitudinal trends were well characterized via a unified PD model implemented across xenografts demonstrating the robustness of measured PD trends. This work supports the application of a mechanistic model as a quantitative tool, reliably projecting tumor payload concentrations upon T-DXd administration, as the first step towards preclinical-to-clinical translation.
Keyphrases
- growth factor
- poor prognosis
- stem cells
- metabolic syndrome
- high resolution
- magnetic resonance
- epidermal growth factor receptor
- mass spectrometry
- adipose tissue
- signaling pathway
- insulin resistance
- cross sectional
- cancer therapy
- breast cancer cells
- weight loss
- skeletal muscle
- tyrosine kinase
- glycemic control
- induced pluripotent stem cells