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Clinical Trial
. 2024 Jan;13(1):23-28.
doi: 10.1002/psp4.13058. Epub 2023 Nov 1.

Application of the model-informed drug development paradigm to datopotamab deruxtecan dose selection for late-stage development

Affiliations
Clinical Trial

Application of the model-informed drug development paradigm to datopotamab deruxtecan dose selection for late-stage development

Yasong Lu et al. CPT Pharmacometrics Syst Pharmacol. 2024 Jan.

Abstract

To replace the conventional maximum tolerated dose (MTD) approach, a paradigm for dose optimization and dose selection that relies on model-informed drug development (MIDD) approaches has been proposed in oncology. Here, we report our application of an MIDD approach during phase I to inform dose selection for the late-stage development of datopotamab deruxtecan (Dato-DXd). Dato-DXd is a TROP2-directed antibody-drug conjugate being developed for advanced/metastatic non-small cell lung cancer (NSCLC) and other tumors. Data on pharmacokinetics (PKs), efficacy, and safety in NSCLC were collected in the TROPION-PanTumor01 phase I dose-expansion and -escalation study over a wide dose range of 0.27-10 mg/kg administered every 3 weeks. Population PK and exposure-response analyses were performed iteratively at three data cutoffs to inform dose selection. The 6 mg/kg dose was identified as the optimal dose by the second data cutoff analysis and confirmed by the subsequent third data cutoff analysis. The 6 mg/kg dose was more tolerable (i.e., lower rates of interstitial lung disease, stomatitis, and mucosal inflammation) than the MTD (8 mg/kg) and was more efficacious than 4 mg/kg (simulated mean objective response rate: 23.8% vs. 18.6%; mean hazard ratio of progression-free survival: 0.74) - a candidate dose studied just below 6 mg/kg. Therefore, the 6 mg/kg dose was judged to afford the optimal benefit-risk balance. This case study demonstrated the utility of an MIDD approach for dose optimization and dose selection.

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Conflict of interest statement

H.Z.‐G., Y.L., Y.H., A.P., D.S., and N.T. are paid employees of Daiichi Sankyo and own stock in Daiichi Sankyo. J.G., D.S., and P.V. own stock in Daiichi Sankyo. H.L. and D.W. are employees of QuanTx Consulting who provided services to Daiichi Sankyo for this study. S.L. has received support from Daiichi Sankyo and owns stock in Daiichi Sankyo. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Model‐derived relationship between exposure (Dato‐DXd C avg) and ORR in a reference patient (top) and observed Dato‐DXd C avg at different doses (bottom). Top panel: Solid curve and shaded area represent the mean and 95% CI of the C avg‐ORR relationship. Bottom panel: Horizontal box plots represent the C avg distributions at the specified dose levels, the whiskers indicate 5th and 95th percentiles, the boxes cover 25th to 75th percentiles, and the vertical bars indicate the medians. C avg, average concentration of Dato‐DXd to tumor response or, for those who did not respond, the end of the last dosing cycle up to the data cutoffs; CI, confidence interval; Dato‐DXd, datopotamab deruxtecan; ORR, objective response rate.
FIGURE 2
FIGURE 2
Model‐simulated results that informed benefit–risk assessment to select 6 mg/kg as an optimal dose for further development. (a) Simulated steady‐state AUCtau for Dato‐DXd and unconjugated DXd; (b) simulated probability of response (complete or partial response); (c) simulated PFS descriptors; (d) simulated probabilities for indicated TEAEs; and (e) simulated hazard ratios for experiencing the indicated TEAEs when treated with Dato‐DXd 6 mg/kg relative to 4 mg/kg in a virtual population with non‐small cell lung cancer. Dashed lines represent 20% and 30% probabilities. AE, adverse event; AUCtau, area under the curve over a dosing cycle; CI, confidence interval; Dato‐DXd, datopotamab deruxtecan; HR, hazard ratio; ILD, interstitial lung disease; PFS, progression‐free survival; TEAE, treatment‐emergent adverse event.

References

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