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A pharmacodynamic model of clinical synergy in multiple myeloma

Authors :
Praneeth Sudalagunta
Maria C. Silva
Rafael R. Canevarolo
Raghunandan Reddy Alugubelli
Gabriel DeAvila
Alexandre Tungesvik
Lia Perez
Robert Gatenby
Robert Gillies
Rachid Baz
Mark B. Meads
Kenneth H. Shain
Ariosto S. Silva
Source :
EBioMedicine, Vol 54, Iss , Pp - (2020)
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

Background: Multiagent therapies, due to their ability to delay or overcome resistance, are a hallmark of treatment in multiple myeloma (MM). The growing number of therapeutic options in MM requires high-throughput combination screening tools to better allocate treatment, and facilitate personalized therapy. Methods: A second-order drug response model was employed to fit patient-specific ex vivo responses of 203 MM patients to single-agent models. A novel pharmacodynamic model, developed to account for two-way combination effects, was tested with 130 two-drug combinations. We have demonstrated that this model is sufficiently parameterized by single-agent and fixed-ratio combination responses, by validating model estimates with ex vivo combination responses for different concentration ratios, using a checkerboard assay. This new model reconciles ex vivo observations from both Loewe and BLISS synergy models, by accounting for the dimension of time, as opposed to focusing on arbitrary time-points or drug effect. Clinical outcomes of patients were simulated by coupling patient-specific drug combination models with pharmacokinetic data. Findings: Combination screening showed 1 in 5 combinations (21.43% by LD50, 18.42% by AUC) were synergistic ex vivo with statistical significance (P < 0.05), but clinical synergy was predicted for only 1 in 10 combinations (8.69%), which was attributed to the role of pharmacokinetics and dosing schedules. Interpretation: The proposed framework can inform clinical decisions from ex vivo observations, thus providing a path toward personalized therapy using combination regimens. Funding: This research was funded by the H. Lee Moffitt Cancer Center Physical Sciences in Oncology (PSOC) Grant (1U54CA193489-01A1) and by H. Lee Moffitt Cancer Center's Team Science Grant. This work has been supported in part by the PSOC Pilot Project Award (5U54CA193489-04), the Translational Research Core Facility at the H. Lee Moffitt Cancer Center & Research Institute, an NCI-designated Comprehensive Cancer Center (P30-CA076292), the Pentecost Family Foundation, and Miles for Moffitt Foundation. Keywords: Clinical synergy, Multiple myeloma, Ex vivo, Pharmacodynamic model, High-throughput combination screening

Subjects

Subjects :
Medicine
Medicine (General)
R5-920

Details

Language :
English
ISSN :
23523964
Volume :
54
Issue :
-
Database :
Directory of Open Access Journals
Journal :
EBioMedicine
Publication Type :
Academic Journal
Accession number :
edsdoj.2bfb0dce927d404ba1fd3ed314b63a77
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ebiom.2020.102716