Yuezhe Li, A Katharina Wilkins, Jimena Davis, Timothy Knab, Marie Toukam, Joseph P Boni, Daniel C Kirouac
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QSP modeling of loncastuximab tesirine with T-cell-dependent bispecific antibodies guides dose-regimen strategy.
Antibody-drug conjugates (ADCs) and T-cell-dependent bispecific antibodies (TDBs) show single-agent efficacy in relapsed/refractory (R/R) lymphomas. While coadministering therapeutics with orthogonal mechanisms of action may safely enhance efficacy, testing every potential combination regimen is infeasible in the clinic. An integrated quantitative systems pharmacology model of a CD19-targeted ADC and CD3/CD20-targeted TDBs was developed to predict combination regimen efficacy in R/R diffuse large B-cell lymphoma (DLBCL). Clinically validated models of the ADC loncastuximab tesirine and TDB mosunetuzumab were combined and extended to additional TDBs (glofitamab and epcoritamab). Virtual DLBCL populations were calibrated using monotherapy response data, and tumor volume dynamics simulated under alternate combination dosing regimens and patient scenarios. Additive antitumor effects were predicted from the fourth cycle onward, with combination efficacy insensitive to loncastuximab tesirine dose reductions or patient lymphopenias. Results of the LOTIS-7 study (NCT04970901) will soon be available to assess these predictions.
期刊介绍:
npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology.
We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.