Model‐Informed Approaches and Innovative Clinical Trial Design for Adeno‐Associated Viral Vector‐Based Gene Therapy Product Development: A White Paper

Author:

Mitra Amitava1,Ahmed Mariam A.2ORCID,Krishna Rajesh3ORCID,Sun Kefeng2,Gibbons Francis D.4,Campagne Olivia2,Rayad Noha5,Roman Youssef M.6,Albusaysi Salwa7,Burian Maria8ORCID,Younis Islam R.9ORCID

Affiliation:

1. Clinical Pharmacology, Kura Oncology Boston Massachusetts USA

2. Quantitative Clinical Pharmacology Takeda Development Center Americas, Inc. Cambridge Massachusetts USA

3. Integrated Drug Development Certara USA, Inc. Princeton New Jersey USA

4. Quantitative Solutions, Preclinical and Translational Sciences Takeda Development Center Americas, Inc. Cambridge Massachusetts USA

5. Clinical Pharmacology, Modeling and Simulation Parexel International (MA) Corporation Mississauga Ontario Canada

6. Department of Pharmacotherapy and Outcomes Science Virginia Commonwealth University School of Pharmacy Richmond Virginia USA

7. Department of Pharmaceutics, Faculty of Pharmacy King Abdulaziz University Jeddah Saudi Arabia

8. Translational Medicine Neuroscience and Gene Therapy UCB Biopharma SRL Braine‐l'Alleud Belgium

9. Clinical Pharmacology Sciences Gilead Science, Inc Foster City California USA

Abstract

The promise of viral vector‐based gene therapy (GT) as a transformative paradigm for treating severely debilitating and life‐threatening diseases is slowly coming to fruition with the recent approval of several drug products. However, they have a unique mechanism of action often necessitating a tortuous clinical development plan. Expertise in such complex therapeutic modality is still fairly limited in this emerging class of adeno‐associated virus (AAV) vector‐based gene therapies. Because of the irreversible mode of action and incomplete understanding of genotype–phenotype relationship and disease progression in rare diseases careful considerations should be given to GT product's benefit–risk profile. In particular, special attention needs to be paid to safe dose selection, reliable dose exposure response (including clinically relevant endpoints), or creative approaches in study design targeting small patient populations during clinical development. We believe that quantitative tools encompassed within model‐informed drug development (MIDD) framework fits quite well in the development of such novel therapies, as they enable us to benefit from the totality of data approach in order to support dose selection as well as optimize clinical trial designs, end point selection, and patient enrichment. In this thought leadership paper, we provide our collective experiences, identify challenges, and suggest areas of improvement in applications of modeling and innovative trial design in development of AAV‐based GT products and reflect on the challenges and opportunities for incorporating MIDD tools and more in rational development of these products.

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

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