Evidence map›Paper›PMID 41436902›Full record

ArticleThe AAPS journal2025

Revisiting the Anti-Drug Antibody Assay Drug Tolerance of a Commercial Biological Product.

James Zanghi, Nancy Yu, Benjamin T Andrews, Phyllis Chan, Maxime Usdin, Cecilia Chiu, WeiYu Lin, Alyse Lin, Yuan Song

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Article in The AAPS journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

James ZanghiBioAnalytical Sciences, Building 47, 660 E Grand Ave, South San Francisco, Genentech, California, 94080, USA. zanghij@gene.com.ORCID 0000-0002-7457-6411
Nancy YuBioAnalytical Sciences, Building 47, 660 E Grand Ave, South San Francisco, Genentech, California, 94080, USA.ORCID 0009-0009-1966-8231
Benjamin T AndrewsBioAnalytical Sciences, Building 47, 660 E Grand Ave, South San Francisco, Genentech, California, 94080, USA.ORCID 0009-0000-7947-3537
Phyllis ChanClinical Pharmacology, Genentech, South San Francisco, California, USA.ORCID 0000-0003-1509-1526
Maxime UsdingRED Computational Sciences, Genentech, South San Francisco, California, USA.ORCID 0009-0008-9271-0267
Cecilia ChiuAntibody Engineering, Genentech, South San Francisco, California, USA.ORCID 0000-0001-8797-9984
WeiYu LinAntibody Engineering, Genentech, South San Francisco, California, USA.ORCID 0000-0003-4363-7848
Alyse LinClinical Pharmacology, Genentech, South San Francisco, California, USA.ORCID 0000-0003-1730-3713
Yuan SongBioAnalytical Sciences, Building 47, 660 E Grand Ave, South San Francisco, Genentech, California, 94080, USA.ORCID 0009-0004-5840-3133

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug tolerance (DT) is a critical attribute of anti-drug antibody (ADA) assays for assessing clinical immunogenicity. We present a unique situation where a previously approved commercial product, atezolizumab, required re-assessment of the assay DT to meet an increased drug exposure demand arising from a new route of administration (subcutaneous) and align with updated health authority (HA) regulations. Rather than redevelop the existing ADA assay, which could disrupt ongoing clinical trials, we identified a new anti-idiotype (anti-ID) antibody surrogate that demonstrated that the assay maintained adequate DT for the new route of administration. This streamlined approach addressed concerns regarding higher serum trough concentrations with subcutaneous administration and stricter sensitivity expectations. We established a target DT concentration based on population pharmacokinetic modeling to ensure adequate ADA characterization at steady state. This case study highlights the value of having alternative surrogate ADAs and demonstrates that achieving stringent DT requirements can be accomplished without extensive method redevelopment. We also introduce the broader implications of surrogate ADA selection, binding kinetics, and the clinical relevance of achieving high DT in the context of atezolizumab's efficacy and safety profile. This work also emphasizes the importance of considering bioanalytical assay characteristics, such as DT, throughout a product's lifecycle.

Indexed as

Antibodies, Anti-IdiotypicAntibodies, Monoclonal, HumanizedBiological ProductsDrug ToleranceHumansInjections, SubcutaneousAntibodies, Anti-IdiotypicAntibodies, Monoclonal, HumanizedatezolizumabBiological ProductsADA assayanti-drug antibodiesatezolizumabdrug toleranceimmunogenicity

Identifiers

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.