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Journal Article

A Data-driven Stepwise Approach to Cross Validation of Clinical Anti-Drug Antibody (ADA) Assays

Sally Ye; Yan Mao; Kelly Coble
The AAPS Journal · Vol. 28, Issue 2 · 2026

Abstract

Cross-validating bioanalytical assays between laboratories is challenging, and antidrug antibody (ADA) assays are particularly difficult to cross-validate due to the lack of regulatory guidance specific to this topic. As a result, different companies have adopted varying approaches. Currently, bioanalytical practices for ADA assay cross-validation are not harmonized. Therefore, it is important to share individual company experiences and practices to facilitate harmonization for industry standards. This manuscript presents Boehringer Ingelheim’s strategy and practice, referred to as a “data-driven stepwise approach,” for clinical ADA assay cross-validation. In Step 1, the ADA assay is first validated at the reference laboratory and then qualified at the comparator laboratory. In Step 2, both laboratories demonstrate comparable responses through cut-point evaluation, confirmed by statistical analysis. In Step 3, identical blinded test samples are analyzed at both laboratories to confirm consistent classification of results as ADA-negative or ADA-positive. Upon satisfactory completion of these steps, the ADA assay is considered successfully cross-validated from the reference laboratory to the comparator laboratory. Case studies are also presented. Graphical Abstract

Bibliographic Information

JournalThe AAPS Journal
PublisherSpringer
Publication Date2026-02-10
Publication Year2026
Volume28
Issue2
Document TypeJournal Article
eISSN1550-7416
DOI10.1208/s12248-026-01203-4

Access Information

NARA Access Coverage1999-01-01~Current
Journal Homepagehttps://www.springer.com/journal/12248
Publisher PageOpen Publisher Page
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