Literature DB >> 27977326

Development of statistical methods for analytical similarity assessment.

Yi Tsong1, Xiaoyu Dong2, Meiyu Shen1.   

Abstract

To evaluate the analytical similarity between the proposed biosimilar product and the US-licensed reference product, a working group at Food and Drug Administration (FDA) developed a tiered approach. This proposed tiered approach starts with a criticality determination of quality attributes (QAs) based on risk ranking of their potential impact on product quality and the clinical outcomes. Those QAs characterize biological products in terms of structural, physicochemical, and functional properties. Correspondingly, we propose three tiers of statistical approaches based on the levels of stringency in requirements. The three tiers of statistical approaches will be applied to QAs based on the criticality ranking and other factors. In this article, we discuss the statistical methods applicable to the three tiers of QA. We further provide more details for the proposed equivalence test as the Tier 1 approach. We also provide some discussion on the statistical challenges of the proposed equivalence test in the context of analytical similarity assessment.

Keywords:  Analytical similarity; equivalence test; quality attribute; tiered approach

Mesh:

Substances:

Year:  2016        PMID: 27977326     DOI: 10.1080/10543406.2016.1272606

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  8 in total

1.  The Assessment of Quality Attributes for Biosimilars: a Statistical Perspective on Current Practice and a Proposal.

Authors:  Johanna Mielke; Franz Innerbichler; Martin Schiestl; Nicolas M Ballarini; Byron Jones
Journal:  AAPS J       Date:  2018-11-27       Impact factor: 4.009

2.  Improving the power to establish clinical similarity in a Phase 3 efficacy trial by incorporating prior evidence of analytical and pharmacokinetic similarity.

Authors:  Donglin Zeng; Jean Pan; Kuolung Hu; Eric Chi; D Y Lin
Journal:  J Biopharm Stat       Date:  2017-11-27       Impact factor: 1.051

3.  Rational Selection, Criticality Assessment, and Tiering of Quality Attributes and Test Methods for Analytical Similarity Evaluation of Biosimilars.

Authors:  Kristof Vandekerckhove; Andreas Seidl; Hiten Gutka; Manish Kumar; Gyöngyi Gratzl; David Keire; Todd Coffey; Henriette Kuehne
Journal:  AAPS J       Date:  2018-05-10       Impact factor: 4.009

4.  DISSOLUTION PROFILE SIMILARITY ANALYSES-STATISTICAL PRINCIPLES, METHODS AND CONSIDERATIONS.

Authors:  Thomas Hoffelder; David Leblond; Leslie Van Alstine; Dorys Argelia Diaz; Sandra Suarez-Sharp; Krista Witkowski; Stan Altan; James Reynolds; Zachary Bergeron; Kevin Lief; Yanbing Zheng; Andreas Abend
Journal:  AAPS J       Date:  2022-04-06       Impact factor: 4.009

5.  An evaluation roadmap for critical quality attributes from tier 1 in analytical similarity assessment.

Authors:  Kejian Wu; Haitao Pan; Chen Li; Qingbo Zhao; Ling Wang; Jielai Xia
Journal:  PLoS One       Date:  2018-12-06       Impact factor: 3.240

6.  Impact of model misspecification on model-based tests in PK studies with parallel design: real case and simulation studies.

Authors:  Mélanie Guhl; François Mercier; Carsten Hofmann; Satish Sharan; Mark Donnelly; Kairui Feng; Wanjie Sun; Guoying Sun; Stella Grosser; Liang Zhao; Lanyan Fang; France Mentré; Emmanuelle Comets; Julie Bertrand
Journal:  J Pharmacokinet Pharmacodyn       Date:  2022-09-16       Impact factor: 2.410

7.  New Quality-Range-Setting Method Based on Between- and Within-Batch Variability for Biosimilarity Assessment.

Authors:  Alexis Oliva; Matías Llabrés
Journal:  Pharmaceuticals (Basel)       Date:  2021-06-01

8.  Evaluation of analytical similarity between trastuzumab biosimilar CT-P6 and reference product using statistical analyses.

Authors:  Jihun Lee; Hyun Ah Kang; Jin Soo Bae; Kyu Dae Kim; Kyoung Hoon Lee; Ki Jung Lim; Min Joo Choo; Shin Jae Chang
Journal:  MAbs       Date:  2018-03-14       Impact factor: 5.857

  8 in total

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