Sino-American Pharmaceutical Professionals Association

 Greater Philadelphia Chapter (SAPA-GP)

2008 Member Conference

Quality by Design & Biostatistics

May 10th (Saturday), Holiday Inn Conference Center
   432 Pennsylvania Avenue, Fort Washington, PA 19034 (Phone: 215-643-3000)

Online registration: http://www.sapa-gp.org/mconf/reg8.htm

The pharmaceutical Quality by Design (QbD) is a systematic approach to product and process design and development. To facilitate the implementation of QbD, a pilot program launched by FDA for new drug application (NDA). Nine original NDAs and two supplemental NDAs were accepted. As of Sept 19, 2007, seven of these NDAs had been submitted, of which six were approved and one was under review.

 

To better understand what are QbD and the relationship to PAT and statistics, what are Lean Six Sigma and the best practice in process and control for improved quality and efficiency from development to manufacturing, leading experts from FDA and major pharmaceutical companies were invited to address the challenges and implementation of the "Quality by Design & Biostatistics.

 

Through the presentation and interactive discussions, you will have an unrivalled opportunity to hear from and network with industry practitioners, academic experts and technology providers. 

 

You can not afford to miss this pharmaceutical industry event if you work in the areas:

 

♦ QA/QC                                             ♦ Consultancy

♦ Analytical development                       ♦ PAT Team

♦ Technology                                        ♦ Process Development & Control

♦ R & D                                               ♦ Chemistry/Chemical Engineering

♦ Operations                                         ♦ General Management

♦ Pharmaceutical Development              ♦validation

♦ Sales/Marketing

 

 

 

 

 

 

 

 

 

Program

Quality by Design & Biostatistics

8:30 a.m. Registration / Breakfast

 

9:00 a.m. Welcome and Opening Remarks, Conference Chair

Laura Hong, MD., PhD Sr. Research Biochemist, Merck& Co

 

9:05 a.m.                 SAPA-GP President Remarks

Zhongda Zhang, Ph D. Principal Scientist, Biomol International

 

9:10 a.m.                 Keynote speech:

Quality by Design: Bridging the Gap between Drug Development and Manufacture

Timothy Schofifld, MS. Senior Director, Merck & Co.

 

                                Timothy Schofield is a Senior Director in the Nonclinical Statistics department of Merck Research Laboratories, West Point, PA.  He received a Bachelor of Science degree in mathematics in 1973 from Lafayette College, Easton, PA, and a Master of Science degree in statistics in 1976 from the University of Pennsylvania in Philadelphia.  Tim joined Merck Sharp & Dohme Research Labs in 1976 as a statistician in Virus & Cell Biology where he was responsible for statistical support of non-clinical and clinical research with vaccines.  He currently heads the Nonclinical Statistics unit, consisting of 18 full-time statisticians who support development of Merck pharmaceuticals, biologics, and vaccines.  In addition to providing statistical design and analysis guidance in many areas of non-clinical development, Tim teaches courses on design of experiments, assay development and validation, stability study design and analysis, and specifications. Tim has also taught Introductory Statistics for 22 years in the Evening Program at Ursinus College, and has been Course Director for several workshops on statistics in the pharmaceutical industry.

 

Abstract A new age of drug development and manufacture is upon us.  Industry and regulators are working toward the vision of a desired state expressed by Janet Woodcock, Deputy Commissioner of the FDA Center for Drug Evaluation, of “a maximally efficient, agile, flexible pharmaceutical manufacturing sector that reliably produces high-quality drug products without extensive regulatory oversight.”  It is now accepted that this can only be achieved by building quality into the process, rather than testing quality into final product.  The International Conference on Harmonisation guideline on Pharmaceutical Development describes a systematic approach to development called Quality by Design.  The approach combines prior knowledge, design of experiments, quality risk management, and knowledge management, to enhance and describe a pharmaceutical process throughout the product life-cycle.  This talk will contrast historical approaches to drug development with quality by design, and will illustrate the resources useful for developing and maintaining a quality pharmaceutical process.

 

9:50 a.m.             Keynote speech: Pharmaceutical Quality by Design: Product and Process, Development, Understanding,

and Control

Lawrence X. Yu, PhD. Director, FDA

 

Dr. Lawrence X. Yu is currently the Director for Science in the Office of Generic Drugs, FDA.  He is also an adjunct Professor of Pharmaceutical Engineering at the University of Michigan.  Prior to joining the FDA, Dr. Yu had worked in the Pharmaceutical R&D Departments of both Pfizer (Upjohn) and GlaxoWellcome for 8 years. Dr. Yu’s research interests have centered on the in silico prediction of oral drug delivery. His compartmental absorption and transit (CAT) model has laid the foundation for the commercial software, GastroPLUSTM which is being widely used in the pharmaceutical industry. Dr. Yu is a fellow of the American Association of Pharmaceutical Scientists (AAPS) and an Associate Editor of the AAPS Journal. Dr. Yu has authored or co-authored over 200 papers, patent, book chapters, and abstracts, and is a co-editor of the book entitled “Biopharmaceutics Applications in Drug Development”. 

 

Abstract The pharmaceutical Quality by Design (QbD) is a systematic approach to development that begins with predefined objectives and emphasizes product and process understanding and process control, based on sound science and quality risk management. It means designing and developing formulation and manufacturing processes to ensure a predefined quality. Some of the QbD elements include:

 

– Defining target product quality profile

– Designing product and manufacturing processes

– Identifying critical quality attributes, process parameters, and sources of variability

– Controlling manufacturing processes to produce consistent quality over time

 

Using QbD, pharmaceutical quality is assured by understanding and controlling formulation and manufacturing variables. Product testing confirms the product quality. Implementation of QbD will enable transformation of the chemistry, manufacturing, and controls (CMC) review into a science-based pharmaceutical quality assessment. The presentation will discuss the pharmaceutical Quality by Design (QbD) and describe how it can be used to ensure pharmaceutical quality.

 

10:30 a.m.               Networking Coffee Break

 

10:45 a.m.           From concept to practice: Implementation of QbD in late-phase pharmaceutical R&D and commercial manufacturing

Weiyong Li, Ph D. Research Fellow, J&J

 

Dr. Weiyong Li graduated from the East China Institute of Chemical Technologies, Shanghai, China in 1982 with a BS degree in chemistry. After graduation, he worked for the National Institute for the Control of Pharmaceutical and Biological Products, Ministry of Health for about three years. Between 1986-1990, he pursued graduate education in the US and earned his PhD in chemistry from University of Missouri-Rolla. Since 1991, he has been working for Johnson & Johnson in the area of pharmaceutical research and development. He actively participated in the development and commercialization of Topamax, Ultram and EVRA. Currently he is a Research Fellow at Johnson & Johnson Pharmaceutical Research & Development, LLC. His recent research interests are in Process Analytical Technology (PAT) and formulation development support. He is the author and coauthor of 35 research papers and book chapters.  

 

Abstract Today’s pharmaceutical industry is in an increasingly tougher business environment. The difficulties are caused by many factors including patent expirations, pricing pressure from the societies, and more stringent securitizations from the regulatory bodies. To tackle these problems, some companies are off-shoring development programs to reduce cost while others are seeking more innovative ways in R&D to remain competitive. In the past years, FDA and ICH have been advocating a Quality by Design approach to the pharmaceutical industry. The new paradigm covers the entire pharmaceutical R&D processes, from formulation design to commercial manufacturing. One of the important aspects in QbD is to adopt relevant and cost effective technologies in pharmaceutical R&D and manufacturing. This presentation will give a brief overview on the status of QbD implementation in the industry and a review on the most widely used QbD tools such as near infrared spectroscopy and chemometric data analysis. A few case studies will also be presented with regard to the most widely used pharmaceutical manufacturing unit operations.

 

11:20 a.m.           Pharmacovigilance: Principle, Practice and Perspective

Jie Chen, MD., PhD.  Associate Director, Merck & Co

                               

Jie is an Associate Director with the Investigational Research Department of Merck Research Laboratories (MRL), Upper Gwynedd, Pennsylvania, US. He received an M.D. in 1984 from Shanghai First College of Medicine, an MPH in 1994 in biostatistics & epidemiology from the University of Oklahoma Health Science Center, Oklahoma City, and a Ph.D. in 2003 in statistics from Temple University, Philadelphia, Pennsylvania.

Jie has been with Merck for more than 12 years. His first 9 years with Merck were devoted to non-clinical statistics including biologic quality operation, stability study, bioassay development and validation, etc. Jie joined the Investigational Research department about 3 years ago, focusing on methodology research in biopharmaceutical product development. He is a co-organizer for the 4th international conference on MCP, a co-guest editor of a special issue of Biometrical Journal, a co-founder of the International Society for Biopharmaceutical Statistics and a co-chair of the Executive Committee for the First International Symposium on Biopharmaceutical Statistics to be held from June 30 – July 2, 2008, in Shanghai, China. Jie is also a member of the Current Index to Statistics (CIS) Management Committee.

Abstract With increasing public awareness over biopharmaceutical product safety, post-licensure product safety monitoring has been an integrate part of biopharmaceutical research and development. Product withdrawal due to safety reason will have not only a profound impact on the financial situation of a company, but also on the public trustfulness over the business conduct of the industry. Nevertheless, the relatively short-term clinical development exhibits some constraints that prevent from discovery of potential risk of biopharmaceutical products for long-term human use. Therefore, the post-approval product risk management and safety surveillance becomes a crucial ingredient in establishing the overall safety profile of a product. With the availability of some spontaneous reporting and observational databases, statistics plays an increasing role in determining whether an adverse event is associated with the use of a product. In addition to the rationale, functional structure and process of pharmacovigilance as well as regulatory requirements and guidance, this talk will introduce some statistical methods that are widely used in safety signal detection. Investigation and interpretation of a potential safety signal are also discussed. Some perspectives in pharmacovigilance and safety surveillance are presented.

 

11:50 a.m.               Some Theoretical and Practical Aspects of QbD/PAT Implementation in Pharmaceutical Development

Jun Hung, Ph D. Principal Scientist II, Wyeth

 

Jun Huang, Ph.D, is currently a Principal Scientist II – PAT at the Pharmaceutical Development Center with Wyeth in Pearl River, NY. His primary responsibility is to implement QbD/PAT in pharmaceutical development.  Prior to joining Wyeth, he worked at the PAT group for GlaxoSmithKline, in PA as Research Investigator (chemometrician) between May 2006 – Feb 2008. His professional experience also includes working for PerkinElmer in CT as Senior Scientist from Dec 2001 to Apr 2006, and CAMO in Norway, 2001.  He received his PhD in chemometrics from the Norwegian University of Science and Technology in Norway, 2001, a M.Sc from Zhejiang University, China, 1997, and a B.Sc from Huazhong University of Science and Technology, China, 1994. 

 Abstract Some theoretical and practical aspects of QbD/PAT implementation in pharmaceutical development will be discussed.  Current definitions and terminologies of QbD/PAT will be reviewed, as well as application examples.   Topics for the discussion include:

- QbD/PAT principles and tools

- Design space

- Real time release

- Chemometrics and PAT

- Batch/Multivariate statistical process control

 

12:20 p.m.               Networking Lunch

 

01:20 p.m.               Keynote Speech Randomized Clinical Trials: Advances and Challenges

James Hung, Ph D. Director, CDER, FDA

 

Dr. H.M. James Hung is presently Director of Division of Biometrics I, Office of Biostatistics, Office of Translational Sciences, Center for Drug Evaluation and Research, US FDA. The division provides services for Division of Cardiovascular and Renal Products, Division of Neurology Products and Division of Psychiatry Products. He has been working for FDA for more than 20 years. During his tenure with FDA, he reviewed many large mortality/morbidity clinical trials in cardiovascular and renal disease areas. He published articles in Biometrics, Statistics in Medicine, Controlled Clinical Trials, Biometrical Journal, Journal of Biopharmaceutical Statistics, etc. His research covers many areas of clinical biostatistics, such as factorial design clinical trials, utility of p-value distribution, adaptive design/analysis in clinical trials, non-inferiority trials, multi-regional trials. Dr. Hung received two FDA/CDER Scientific Achievement Awards and many other awards for the recognition of his scientific contributions to the US FDA. He gave many invited talks, lectures or short courses in United States, France, Germany, United Kingdom, Japan, China, and Taiwan. Currently, he serves as an Associate Editor for Statistics in Medicine.

                                        

Abstract Randomized clinical trial (RCT) has set a paradigm for the development of medical products and served public health well for many decades. It continues to be a gold standard to provide the best and reliable information about the medical products marketed or to be marketed. As considerations from other dimensions such as costs of clinical trial, patient welfare, are increasingly demanded, the traditional paradigm and methodology for RCT are faced with a great many of challenges. Nowadays clinical programs must consider globalization. Multi-regional involvements in clinical trials compete in resources. Design modifications that were once unthinkable are now becoming thinkable and many argue that they are necessary or preferable. Conventional approaches to clinical trials are under intensive scrutiny. New approaches generate lots of controversies. Initiatives coming from many regulatory agencies put many of the challenges in perspective. The journey is on; let us revisit the past, the present and fertilize this paradigm for the future.

* The views expressed here are not necessarily those of the U.S. Food and Drug Administration.

 

02:00 p.m.           Application of Lean Six-Sigma Methodologies to Pharmaceutical Basic Research: an Example of Improving Turnaround Time for Bioanalysis

James Yergey. Ph D. Senior Director, Merck & Co.

 

James Yergey is currently a Senior Director who leads the Preclinical DMPK Bioanalysis group at the Merck & Co. West Point, PA site.  The group is responsible for in-life and bioanalytical measurements in support of Basic Research projects at the site, including both small and large molecule therapeutics.  Jim’s background and training are as an analytical chemist with a specialization in mass spectrometry.  Since joining Merck Research Labs at the Merck Frosst site in Kirkland, Québec in 1989, he has been actively involved in shaping Merck’s strategy for supporting DMPK in the drug discovery space.  He received Six Sigma black belt training in 2007, completed his first black belt project earlier this year (the subject of his talk), and continues to look for opportunities to use LSS methodologies to improve processes in the Basic and Early Development environment.

 

02:40 p.m.               Quality by Design in Process Development and Analytical Science

Sarah Chen, PhD.  Investigator, GSK

 

                        Sarah obtained her Ph.D. in analytical chemistry from University of Michigan 1999. Research Fellow at Merck Analytical Research from 1999-2005.  Investigator at GSK Analytical Science 2005-present.  

 

Abstract  This presentation will introduce the concept and practice of Quality by Design in Process Development, from both regulatory agency's perspective and industry's perspective: what is QbD, why is this practice useful, when should it be applied to project, who will be impacted and how should it be implemented.  From analytical science's perspective, QbD means both to support the QbD activities and to apply the concept into the analytical world.  Case studies of how QbD concept is impacting the change in analytical science will be discussed.

 

03:15 p.m.        Networking Coffee Break

 

03:30 p.m.               Statistics: Use it and Love it

Jason Liao, Ph D. Associate Director, Merck & Co

                       

Jason Liao, Ph.D. is currently an associate director at Merck Research Laboratories. He obtained his Ph.D. in statistics from The University of Michigan in 1997. Since then, he has been working in the biopharmaceutical industry covering a broad range functional areas with both clinical and non-clinical experience for designing experiments, conducting statistical analyses, addressing questions/issues from regulatory agencies, and providing statistical educations and consultations to non-statisticians. He is also very active in promoting the right statistics and/or more powerful statistics to improve and/or solve statistical issues in drug development. He has published about 30 peer-reviewed articles and served as a reviewer for many journals. 

 

Abstract  In a new era of biopharmaceutical industry with increasing competition for high quality and pricing pressure for low cost products, new challenges and unique opportunities are presented to the industry. To meet the new challenges and capture the opportunities, there are industry-wise efforts to reduce product developmental times and to lower the cost in producing a quality drug/protein/vaccine products. Thus, new philosophy such as the six-sigma is widely used with emphasis on quantitatively speaking after the data. Toward this end, statistical techniques in design of experiment (DOE), calibration, and statistical process control (SPC), which are mostly used by scientists and are essential for scientists, are presented along with motivating examples.

 

04:05 p.m.               Clinical Trial Paradigm in Drug and Vaccine Development

Ivan Chan, Ph D. Senior Director, Merck & Co.

                       

Dr. Ivan S. F. Chan is Senior Director of Late Development Statistics, Merck Research Laboratories. He received M.S. in Statistics from The Chinese University of Hong Kong (1991) and Ph.D. in Biostatistics from University of Minnesota, United States (1995). Dr. Chan has worked at Merck since 1995, focusing on clinical development of vaccines. His research interests include methodologies for clinical trials, design and analysis of noninferiority and equivalence trials, statistical inference using exact methods, and analysis of multiple endpoints. He has 50 publications in statistical and clinical journals. Dr. Chan currently serves as Associate Editor for Biometrics and for Journal of Biopharmaceutical Statistics. He is the chair of the Program Committee for the Society for Clinical Trials 2008 annual meeting in St. Louis and a co-chair of the Scientific Program Committee for the first International Symposium of Biopharmaceutical Statistics in Shanghai, China, 2008. In addition, he is a member of American Statistical Association Nomination Committee, PhRMA Adaptive Trials Working Group, and PhRMA Dichotomizing Continuous Endpoint Working Group. He has also served as the Executive Director and a Board member for the International Chinese Statistical Association.

 

Abstract Clinical trial activities are an integral part of pharmaceutical development in evaluating whether new drugs or vaccines are safe and efficacious in humans. These human trials start after new compounds have been tested successfully in preclinical studies, including analytical and animal experiments. Before a new compound is submitted for regulatory review and approval, clinical trials are conducted generally in three phases to assess the safety in health volunteers, determine a safe and efficacious dose in the target patient population, and confirm both safety and efficacy of the optimal dose in large-scale studies.  After a compound is approved, clinical trial activities continue to collect additional safety data and to evaluate efficacy in expanded populations. In this presentation we will highlight some of the issues and challenges in designing clinical trials in different phases. We will also briefly discuss a new paradigm of using adaptive designs to accelerate clinical development of new compounds.

 

04:50 p.m.               Closing Remark of Conference Co-Chair

                                Lee Kang, PhD, MBA.  Sr. Director, Perrigo

 

05:00 p.m.               Close of Member Conference