Realizing the Promise of Project Optimus: Challenges and Emerging Opportunities for Dose Optimization in Oncology Drug Development

Author:

Gao Wei1,Liu Jiang2,Shtylla Blerta3,Venkatakrishnan Karthik1,Yin Donghua4,Shah Mirat2,Nicholas Timothy5,Cao Yanguang6ORCID

Affiliation:

1. Quantitative Pharmacology, EMD Serono Research & Development Institute, Inc. Billerica Massachusetts USA

2. Food and Drug Administration Silver Spring MD USA

3. Quantitative Systems Pharmacology, Pfizer San Diego CA USA

4. Clinical Pharmacology, Pfizer San Diego CA USA

5. Pharmacometrics, Pfizer Groton CT USA

6. Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy University of North Carolina at Chapel Hill Chapel Hill NC USA

Abstract

AbstractProject Optimus is a U.S. Food and Drug Administration Oncology Center of Excellence initiative aimed at reforming the dose selection and optimization paradigm in oncology drug development. This project seeks to bring together pharmaceutical companies, international regulatory agencies, academic institutions, patient advocates, and other stakeholders. While there is much promise in this initiative, there are several challenges that need to be addressed, including multi‐dimensionality of the dose optimization problem in oncology, the heterogeneity of cancer and patients, importance of evaluating long‐term tolerability beyond dose‐limiting toxicities, and the lack of reliable biomarkers for long‐term efficacy. Through the lens of Totality of Evidence (ToE) and with the mindset of model‐informed drug development (MIDD), we offer insights into dose optimization by building a quantitative knowledge base integrating diverse sources of data and leveraging quantitative modeling tools to build evidence for drug dosage considering exposure, disease biology, efficacy, toxicity, and patient factors. We believe that rational dose optimization can be achieved in oncology drug development, improving patient outcomes by maximizing therapeutic benefit while minimizing toxicity.

Publisher

Wiley

Subject

Pharmacology (medical),Modeling and Simulation

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