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Cover image for Biosimilars : design and analysis of follow-on biologics
Title:
Biosimilars : design and analysis of follow-on biologics
Series:
Chapman & Hall/CRC biostatistics series ; 60
Publication Information:
Boca Raton : Taylor & Francis, 2014
Physical Description:
xix, 424 pages : illustrations ; 24 cm.
ISBN:
9781466579699

Available:*

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32050000000683 RS380 .C45 2014 Open Access Book Book
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30000010342162 RS380 C46 2014 Open Access Book Book
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Summary

Summary

As many biological products face losing their patents in the next decade, the pharmaceutical industry needs an abbreviated regulatory pathway for approval of biosimilar drug products, which are cost-effective, follow-on/subsequent versions of the innovator's biologic products. But scientific challenges remain due to the complexity of both the manufacturing process and the structures of biosimilar products.

Written by a top biostatistics researcher, Biosimilars: Design and Analysis of Follow-on Biologics is the first book entirely devoted to the statistical design and analysis of biosimilarity and interchangeability of biosimilar products. It includes comparability tests of important quality attributes at critical stages of the manufacturing processes of biologic products.

Connecting the pharmaceutical/biotechnology industry, government regulatory agencies, and academia, this state-of-the-art book focuses on the scientific factors and practical issues related to the design and analysis of biosimilar studies. It covers most of the statistical questions encountered in various study designs at different stages of research and development of biological products.


Author Notes

Shein-Chung Chow is a professor in the Department of Biostatistics and Bioinformatics at Duke University School of Medicine. Dr. Chow is also a professor of clinical sciences at Duke-National University of Singapore Graduate Medical School. He is the editor-in-chief of the Journal of Biopharmaceutical Statistics and editor-in-chief of the Chapman & Hall/CRC Biostatistics Series. He has authored or co-authored over 230 papers and 22 books, including Adaptive Design Methods in Clinical Trials, Second Edition, Handbook of Adaptive Designs in Pharmaceutical and Clinical Development, and Controversial Statistical Issues in Clinical Trials. A fellow of the ASA and member of the ISI, Dr. Chow has received the ASA Chapter Service Recognition Award, the DIA Outstanding Service Award, and the ICSA Extraordinary Achievement Award.


Table of Contents

Introduction
Background
Fundamental Differences
Regulatory Requirements
Biosimilarity
Interchangeability of Biological Drug Products
Scientific Factors
Aim and Scope of the Book
Bioequivalence Experience for Small-Molecule Drug Products
Background
Process for Bioequivalence Assessment
Issue of Drug Interchangeability
Highly Variable Drugs
Practical Issues
Frequently Asked Questions
Regulatory Requirements for Assessing Follow-On Biologics
Background
Definitions and Interpretations of Biosimilar Products
Regulatory Requirements
Review of the FDA Draft Guidances
Global Harmonization
Criteria for Similarity
Introduction
Criteria for Bioequivalence
Similarity Factor for Dissolution Profile Comparison
Measures of Consistency
Comparison of Moment-Based and Probability-Based Criteria
Alternative Criteria
Statistical Methods for Assessing Average Biosimilarity
Introduction
Classic Methods for Assessing Biosimilarity
Bayesian Methods
Wilcoxon-Mann-Whitney Two One-Sided Tests Procedure
Three-Arm Parallel Design
General Approach for Assessing Biosimilarity
Background
Reproducibility Probability
Development of the Biosimilarity Index
Relationship of the Biosimilarity Criterion versus Variability
Biosimilarity Index Based on the Bayesian Approach
Consistency Approach
Non-Inferiority versus Equivalence/Similarity
Background
Testing for Equality
Testing for Noninferiority
Testing for Superiority
Testing for Equivalence
Relationship among Testing for Noninferiority, Superiority, and Equivalence
Determination of the Noninferiority Margin
Sample Size Requirement When There Is a Switch in Hypothesis Testing
Statistical Test for Biosimilarity in Variability
Introduction
Pitman-Morgan's Adjusted Test for Comparing Variabilities
F-Type Test under Parallel Design
Non-Parametrics Methods
Alternative Methods
Sample Size for Comparing Variabilities
Introduction
Comparing Intra-Subject Variability
Comparing Inter-Subject Variability
Comparing Total Variability
Comparing Intra-Subject CVs
Impact of Variability on Biosimilarity Limits for Assessing Follow-On Biologics
Introduction
Relationship between Variability and Biosimilarity Limits
Scaled Biosimilarity Margins
Simulations
Discussions
Drug Interchangeability
Introduction
Population and Individual Bioequivalence
Interchangeability for Biosimilar Products
Study Designs for Interchangeability
Statistical Methods
Issues on Immunogenicity Studies
Introduction
Regulatory Requirements
Assay Development/Validation
Design for Immunogenicity Studies
Sample Size for Immunogenicity Studies
CMC Requirements for Biological Products
Introduction
CMC Development
Product Characterization and Specification
Manufacture and Process Validation
Quality Control/Assurance
Reference Standards, Container Closure System, and Stability
Test for Comparability in Manufacturing Process
Introduction
Biologic Manufacturing Process
Consistency Index
Test for Comparability
Other Comparability Tests
Stability Analysis of Biosimilar Products
Introduction
Regulatory Stability Guidelines on Biologicals
Stability Indicating Profile and Expiration Dating Period
Stability Designs
Statistical Analysis
Assessing Biosimilarity Using Biomarker Data
Introduction
Assessment of Biosimilarity
Statistical Test for Biosimilarity Using Biomarker Data
Numerical Study
Current Issues in Biosimilar Studies
Introduction
Scientific Factors
Current Issues
References
Index
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