Abstract
Development and validation of a bioanalytical method for biosimilar biological product development (BPD) can be challenging. It requires the development of a bioanalytical method that reliably and accurately measures both proposed biosimilar and reference products in a biological matrix. This survey summarizes the current state of bioanalysis in BPD. Bioanalytical data from 28 biosimilar biologic license applications submitted to U.S. Food and Drug Administration (FDA) up to December 2018 were analyzed. The aim of the analysis was to provide (i) a summary of the bioanalytical landscape for BPD, (ii) a cumulative review of bioanalytical method validation approaches to aid in understanding how a specific method was selected, and (iii) a summary of data regarding bioanalytical bias differences between products. Results show diversity of the bioanalytical approaches used, as well as the observed differences in bioanalytical bias. Our findings highlight the need for understanding the critical aspects of BPD bioanalysis and clarifying BPD bioanalytical best practices, which could help ensure consistent method validation approaches in the BPD community.
Similar content being viewed by others
Abbreviations
- ARP:
-
authentic reference product
- Bias:
-
%difference from accuracy
- BLA:
-
biologic license application
- BPD:
-
biosimilar biological development program
- CRO:
-
contract research organization
- CV:
-
coefficient of variation
- ELISA:
-
enzyme-linked immunosorbent assay
- LBA:
-
ligand binding assay
- MSD:
-
Meso Scale Discovery
- PK:
-
pharmacokinetic
- QC:
-
quality control
- PBP:
-
proposed biosimilar product
- USRP:
-
US reference product
- WHO:
-
World Health Organization
References
Thway TM. Fundamentals of large-molecule protein therapeutic bioanalysis using ligand-binding assay. Bioanalysis. 2016;8(1):11–7.
O’Hara DM, Theobald V, Egan AC, Usansky J, Krishna M, TerWee J, et al. Ligand binding assays in the 21st century laboratory: recommendations for characterization and supply of critical reagents. AAPS J. 2012;14(2):316–28.
U.S. Food and Drug Administration’s Guidance for Industry titled Clinical Pharmacology Data to Support a Demonstration of Biosimilarity to a Reference Product published on December 2016.
U.S. Food and Drug Administration’s Guidance for Industry titled Bioanalytical Method Validation published on May 2018.
Marini JC, Anderson M, Cai XY, Chappell J, Coffey T, Gouty D, et al. Systematic verification of bioanalytical similarity between a biosimilar and a reference biotherapeutic: committee recommendations for the development and validation of a single ligand-binding assay to support pharmacokinetic assessments. AAPS J. 2014;16(6):1149–58.
Islam R. Bioanalytical challenges of biosimilars. Bioanalysis. 2014;6(3):349–56.
Wang X, Chen L. Challenges in bioanalytical assay for biosimilars. Bioanalysis. 2014;6(16):2111–3.
Thway TM, Macaraeg C, Calamba D, Patel V, Tsoi J, Ma M, et al. Applications of a planar electrochemiluminescence platform to support regulated studies of macromolecules: benefits and limitations in assay range. J Pharm Biomed Anal. 2010;51(3):626–32.
Wang YC, Wang Y, et al. Role of modeling and simulation in the development of novel and biosimilar therapeutic proteins. J Pharm Sci. 2019;108(1):73–77.
R Core Team. R: a language and environment for statistical computing. R Foundation for statistical computing. Vienna; 2013. http://www.R-project.org/
Wickham H. ggplot2: elegant graphics for data analysis. New York: Springer-Verlag; 2016.
Thway TM, Macaraeg C, Eschenberg M, Ma M. In silico evaluation of the potential impact of bioanalytical bias difference between two therapeutic protein formulations for pharmacokinetic assessment in a biocomparability study. AAPS J. 2015;17(3):684–90.
Acknowledgments
The authors thank Joanne Berger, FDA Library, and Daniel Sloper, NCTR, for manuscript editing assistance and Dr. Elimika Pfu Fletcher, Office of Clinical Pharmacology, FDA for her critical review of the manuscript.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Study Highlights
• Among twenty-eight 351(k) BLA submissions received up to December 2018, ELISA remains the most frequently used platform in BPD, likely due to the technology’s simplicity. Since most reagents were commercially sourced in these submissions, it may be beneficial for bioanalytical laboratories to qualify and manage the life cycles of critical reagents and include critical reagent information sufficiently in method validation reports.
• Our survey indicated the diversity in conducting the bioanalytical comparability assessment among these submissions and the evidence corroborating the rationale for choosing the single bioanalytical method and the product was not evident. The bioanalytical bias differences between the products were larger than 10% in many cases.
• Evaluating the impact of bioanalytical bias difference on the outcome of PK similarity studies may be important.
Rights and permissions
About this article
Cite this article
Obianom, O.N., Thway, T.M., Schrieber, S.J. et al. Retrospective Analysis of Bioanalytical Method Validation Approaches in Biosimilar Biological Product Development. AAPS J 21, 105 (2019). https://doi.org/10.1208/s12248-019-0376-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1208/s12248-019-0376-0