Workshop
Event Title
FDA-ISoP Public Workshop: Model Informed Drug Development (MIDD) for Oncology Products
Co-sponsored by the:
U.S. Food & Drug Administration (FDA) and the International Society of Pharmacometrics (IsoP)
Co-Chairs: Yaning Wang: PhD, FDA, CDER, OCP
Amy McKee, MD, FDA, CDER, OHOP
Rene Bruno, PhD, Past-President, ISoP
Jin Y Jin, PhD, President ISoP
Under the FDA Reauthorization Act of 2017, FDA agreed, in accordance with section I of the PDUFA VI Performance Goals, Ensuring the Effectiveness of the Human Drug Review, part J, Enhancing Regulatory Decision Tools to Support Drug Development and Review, to convene a series of workshops to identify best practices for model informed drug development (MIDD).
The Food and Drug Administration (FDA) and the International Society of Pharmacometrics (IsoP) will jointly convene a workshop on model informed drug development for oncology products as part of this workshop series.
Date: February 1, 2018
Time: 8:00 a.m. to 5:20 p.m.
Location: FDA White Oak Campus
10903 New Hampshire Avenue
Building 31, Room 1503 - Great Room B & C
Silver Spring, MD 20993
Background:
Over the past few decades, there has been extensive investment in oncology drug discovery and development. Despite greater understanding of disease biology and drug mechanisms of action, further progress in model-informed strategies is needed to continue advancements in oncology drug development. Innovations in clinical trial design utilizing more informative endpoints could help bring more effective treatment options to cancer patients faster by accelerating development of effective new drugs and reducing failure rates in expensive late-phase development.
As more effective and complex combination strategies and novel targets for cancer treatment evolve, exploring more informative and predictive endpoints to assess treatment response (e.g., response evaluation criteria in solid tumors- based endpoints (RECIST)) has become an active area of research. Alternative metrics that require shorter periods of observation or provide more precise assessment of treatment effects could lead to more rapid completion of clinical trials and require fewer patients. Promising among these alternative metrics are model-based metrics, such as those based on longitudinal continuous tumor size measurements. Additionally, model-informed approaches can help satisfy a need to optimize dosing regimens for patients. Investigations to refine dosing regimens often occur after new drug approval and/or are driven by pharmacometric modeling approaches. There is growing interest in using model-informed approaches to help balance the risks and benefits of oncology products by identifying optimal dosing regimens and broad stakeholder engagement and discussion around this topic can be beneficial.
Workshop Objectives:
- Discuss “best practices” in integrating human pharmacokinetic, pharmacodynamic, efficacy, and safety data into models that best inform oncology drug development.
- Describe novel imaging techniques and diagnostic and predictive biomarkers that may be utilized in oncology drug development.
- Describe disease- and mechanism-specific early endpoints to predict long-term efficacy.
- Evaluate the potential to shift from traditional RECIST-based endpoints such as Overall Response Rate (ORR) and Progression Free Survival (PFS) to modified RECIST approaches (e.g. imRECIST for immunotherapies) as well as to other (model-based) tumor kinetic metrics to support early decision making in Phase 1/2 as well as in confirmatory trials.
- Discuss potential regulatory implications of model-informed decisions in drug development, including, model-based target identification, dose/exposure justification based on preclinical evidence, dose selection for first-in-human trials, quality by design, early clinical study design, dose finding/titration, confirmatory trials, product labeling, and post-marketing studies.
Who Should Attend:
This workshop will be open to the public. The primary audience will include pharmaceutical scientists working with small molecule development from academia, industry, and government regulatory agencies, both domestic and international.
Webcast Information:
FDA will provide a free-of-charge, live webcast of the FDA-ISOP workshop. Recordings of the webcast can be found at the following links:
- Part 1: https://collaboration.fda.gov/p4nbc4jvkg0/
- Part 2: https://collaboration.fda.gov/p6w4tvtfcu3/
- Part 3: https://collaboration.fda.gov/p2dfk710ph2/
- Part 4: https://collaboration.fda.gov/p1425t1xmxh/
Meeting Information:
- Final Agenda - MIDD for Oncology Products Workshop (PDF - 166 KB)
- List of Speakers, Moderators and Panelists
- Speaker Bios
- Transcript
Meeting Presentations
- Model - Informed Drug Development in Oncology. [PDF - 1.46 MB] Issam Zineh, PharmD, MPH (FDA)
Session 1: Non-clinical MIDD in Oncology
- Models in Support of Oncology Drug Combinations and Dosing [PDF - 871 KB] Sergey Aksenov , PhD (AstraZeneca)
- Mechanistic Modeling and Simulation for Bispecific Antibodies [PDF -3362 KB] Armin Sepp, PhD. (GlaxoSmithKline)
- Optimizing Novel-Novel Dose Combinations via Simultaneous Exposure-Toxicity & Exposure-Efficacy Modeling [PDF - 1965 KB] Dean Bottino , PhD. (Takeda)
Session II: Clinical MIDD in Oncology
- Beyond MTD: Integrating non-safety endpoints into Oncology dose-finding [PDF - 1965 KB] Stuart Bailey, PhD. (Novartis)
- Novel Endpoints in Clinical Trials to Accelerate and Streamline Drug Development [presentation not available] - Tito Fojo, MD, PhD (Columbia University)
- Joint Modeling of Tumor Kinetic and Overall Survival [PDF - 3710 KB] Jérémie Guedj, PhD. (Inserm, Paris)
- Inspiring Examples: Model-informed decisions in clinical development
- Clinical Perspective: Bringing the Community Care Setting Into the Learning Versus Confirming Paradigm [PDF - 1976 KB]
- Michael Maitland, MD, PhD (Inova) - - Yanan Zheng, PhD (MedImmune) Evaluation and Application of a Tumor Growth Dynamic - Overall Survival (TGD-OS) Model for Advanced Melanoma [PDF - 1347 KB]
- Amit Roy, PhD (Bristol-Myers Squibb) - Case Example I: Characterization of Post-progression Outcomes as a Function of Time on Treatment [presentation not available]
– David Turner, PhD (Merck) - Case Example II: Modeling of Tumor Kinetics and Overall Survival to Identify Prognostic and Predictive Biomarkers of Efficacy for Durvalumab [PDF - 1113 KB].
- Yanan Zheng, PhD (MedImmune - Case Example III: Evaluation and Application of a Tumor Growth Dynamic - Overall Survival (TGD-OS) Model for Advanced Melanoma [PDF - 1347 KB]
- Amit Roy, PhD (Bristol-Myers Squibb) - Case Example IV: Applications of Tumor Growth Inhibition-Overall Survival Models to Support Atezolizumab Combination Studies [PDF - 1420KB] -
René Bruno, PhD (Genentech/Roche) - Case Example V: Using Modeling Approach to Inform the Decision at Early Drug Development Stage [presentation not available]
– Jingwen (Jenny) Zheng, PhD (Pfizer)
- Clinical Perspective: Bringing the Community Care Setting Into the Learning Versus Confirming Paradigm [PDF - 1976 KB]
Session III: MIDD Before and After Approval
- Model Informed Development of Abemaciclib: Collaboration, Computation, and Communication [PDF - 1556 KB] Kellie Turner, Pharm.D., Ph.D. (Eli Lilly)
- Model-informed analysis during NDA/BLA review [PDF - 1029 KB] Chao Liu, Ph.D., M. Stat. (FDA)
- MIDD Applied Post-Approval: Examples with Ibrutinib, a BTK Inhibitor [PDF - 728KB] Daniele Ouellet, PhD. (Janssen)
Contact:
Jeannette Dinin Regulatory
Project Manager Division of Oncology Products 1
Office of Hematology and Oncology Products
Center for Drug Evaluation and Research
Food and Drug Administration
Phone: 240.402.4978
E-mail: Jeannette.Dinin@fda.hhs.govYvonne Knight Senior
Regulatory Health Project Manager
Office of Clinical Pharmacology
Center for Drug Evaluation and Research
Food and Drug Administration
Phone: 301.796.2133
E-mail: Yvonne.Knight@fda.hhs.gov
- List of Speakers, Moderators and Panelists
- Speaker Bios
- Transcript
Speaker Bios