Literature DB >> 24861938

Recommendations for the characterization of immunogenicity response to multiple domain biotherapeutics.

Boris Gorovits1, Eric Wakshull2, Renuka Pillutla3, Yuanxin Xu4, Marta Starcevic Manning5, Jaya Goyal6.   

Abstract

Many biotherapeutics currently in development have complex mechanisms of action and contain more than one domain, each with a specific role or function. Examples include antibody-drug conjugates (ADC), PEGylated, fusion proteins and bi-specific antibodies. As with any biotherapeutic molecule, a multi-domain biotherapeutic (MDB) can elicit immune responses resulting in the production of specific anti-drug antibodies (ADA) when administered to patients. As it is beneficial to align industry standards for evaluating immunogenicity of MDBs, this paper highlights pertinent immunogenicity risk factors and describes steps involved in the design of a testing strategy to detect and characterize binding (non-neutralizing and neutralizing, NAb) ADAs. In a common tier based approach, samples identified as ADA screen positive are confirmed for the binding specificity of the antibodies to the drug molecule via a confirmatory assay. The confirmation of specificity is generally considered as a critical step of the tier based approach in overall ADA response evaluation. Further characterization of domain specificity of polyclonal anti-MDB ADA response may be required based on the analysis of molecule specific risk factors. A risk based approach in evaluating the presence of NAbs for MDB is discussed in this article. Analysis of domain-specific neutralizing antibody reactivity should be based on the risk assessment as well as the information learned during binding ADA evaluation. Situations where additional characterization of NAb specificity is possible and justified are discussed. Case studies demonstrating applicability of the risk factor based approach are presented. In general, the presence of a domain with high immunogenicity risk or presence of a domain with high endogenous protein homology may result in an overall high immunogenicity risk level for the entire MDB and can benefit from domain specificity characterization of immune response. For low immunogenicity risk MDBs, domain specificity characterization could be re-considered at later clinical phases based on the need to explain specific clinical observations. Inclusion of domain specificity characterization in early phase clinical studies for MDBs with limited clinical immunogenicity experience may be considered to help understand its value in later clinical development. It is beneficial and is recommended to have a well-defined plan for the characterization of ADA domain specificity and data analysis prior to the initiation of sample testing. Overall, best practices for immunogenicity evaluation of complex MDBs are discussed.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Anti-drug antibody; Immunogenicity response characterization; Multi-domain biotherapeutic

Mesh:

Substances:

Year:  2014        PMID: 24861938     DOI: 10.1016/j.jim.2014.05.010

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  9 in total

1.  Immunogenicity of antibody drug conjugates: bioanalytical methods and monitoring strategy for a novel therapeutic modality.

Authors:  M Benjamin Hock; Karen E Thudium; Montserrat Carrasco-Triguero; Nikolai F Schwabe
Journal:  AAPS J       Date:  2014-11-08       Impact factor: 4.009

2.  Development of a Generic Anti-PEG Antibody Assay Using BioScale's Acoustic Membrane MicroParticle Technology.

Authors:  Huijin Dong; Johanna R Mora; Catherine Brockus; Shannon D Chilewski; Robert Dodge; Colin Merrifield; W Matthew Dickerson; Binodh DeSilva
Journal:  AAPS J       Date:  2015-07-03       Impact factor: 4.009

Review 3.  Considerations for the Design of Antibody-Based Therapeutics.

Authors:  Dennis R Goulet; William M Atkins
Journal:  J Pharm Sci       Date:  2019-06-04       Impact factor: 3.534

4.  A Tiered Approach for Characterization to Ensure Quality, Reproducibility, and Long-Term Stability of Critical Reagents in Regulated Bioanalysis to Support PK/ADA/NAb Assays for Biologics and Vaccines Programs.

Authors:  Kun Yang; Ying Zhang; Robert Chou; Lai Yeung; Simon Letarte; Rong-Sheng Yang; Xuanwen Li; Maribel Beaumont; Rico Gunawan; Douglas Richardson; Shara Dellatore; Eric Woolf; Yang Xu
Journal:  ACS Pharmacol Transl Sci       Date:  2020-10-28

5.  Strategies to Determine Assay Format for the Assessment of Neutralizing Antibody Responses to Biotherapeutics.

Authors:  Bonnie Wu; Shan Chung; Xu-Rong Jiang; Jim McNally; Joao Pedras-Vasconcelos; Renuka Pillutla; Joleen T White; Yuanxin Xu; Shalini Gupta
Journal:  AAPS J       Date:  2016-08-05       Impact factor: 4.009

6.  Generic Anti-PEG Antibody Assay on ProterixBio's (Formerly BioScale) ViBE Platform Shows Poor Reproducibility.

Authors:  Shannon D Chilewski; Julie Shields; Johanna R Mora; Heather Myler
Journal:  AAPS J       Date:  2018-04-24       Impact factor: 4.009

7.  Development and Characterization of a Neutralizing Anti-idiotype Antibody Against Mirvetuximab for Analysis of Clinical Samples.

Authors:  Sven Loebrich; Mingfang Shen; Erika Cohen; Gillian Payne; Ying Chen; Megan Bogalhas; Yiwei Zhao
Journal:  AAPS J       Date:  2017-05-22       Impact factor: 4.009

Review 8.  Immunogenicity assessment of bispecific antibody-based immunotherapy in oncology.

Authors:  Yanchen Zhou; Hweixian L Penny; Mark A Kroenke; Bianca Bautista; Kelly Hainline; Lynette S Chea; Jane Parnes; Daniel T Mytych
Journal:  J Immunother Cancer       Date:  2022-04       Impact factor: 12.469

9.  Application of a Plug-and-Play Immunogenicity Assay in Cynomolgus Monkey Serum for ADCs at Early Stages of Drug Development.

Authors:  Montserrat Carrasco-Triguero; Helen Davis; Yuda Zhu; Daniel Coleman; Denise Nazzal; Paul Vu; Surinder Kaur
Journal:  J Immunol Res       Date:  2016-03-22       Impact factor: 4.818

  9 in total

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