Evidence map›Paper›PMID 40357562›Full record

ArticleBioanalysis2025

Assessing linearity of vaccine immunogenicity assays: application and link with clinical endpoints.

Capucine Lepers, Aurélie Bellanger, Oana Petrof, Martin Verniquet, Mikaël Le Bouter, Cédric Taverne

Abstract read
In one paragraph

Article in Bioanalysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Capucine LepersVaccine Assay Statistics, GlaxoSmithKline, Rixensart, Belgium.
Aurélie BellangerVaccine Assay Statistics, GlaxoSmithKline, Rixensart, Belgium.
Oana PetrofVaccine Assay Statistics, GlaxoSmithKline, Rixensart, Belgium.ORCID 0000-0002-1802-9640
Martin VerniquetVaccine Assay Statistics, GlaxoSmithKline, Rixensart, Belgium.
Mikaël Le BouterVaccine Assay Statistics, GlaxoSmithKline, Rixensart, Belgium.
Cédric TaverneVaccine Assay Statistics, GlaxoSmithKline, Rixensart, Belgium.ORCID 0000-0002-2692-8726

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing the performance of an immunogenicity assay before using it to support vaccine clinical trials is mandatory. Further validation of assay performance is even requested to support Phase III studies. While assay validation requires adherence to predefined acceptance criteria, there is no universal stringency level for earlier phases of assay development. Setting scientifically sound criteria for success is about finding the right balance between unavoidable assay limitations and ensuring the assay is fit-for-purpose. In this paper, we focus on the evaluation of linearity for immunogenicity assays and its use as surrogate for accuracy evaluation in the absence of reference material. We propose a simple method for evaluating assay linearity and understanding the impact of a linearity deviation on the evaluation of the response increase in clinical trial. Assessment is reliable in absence of known concentration samples, unlike methods in industry guidance, making the proposed method more versatile. Method is illustrated by two case studies, representative of the assays used in the vaccine field. Making the link between assay linearity and clinical endpoints provides a simple and clear framework to support the definition of assay validation criteria, applicable to a variety of immunogenicity assays.

Indexed as

Endpoint DeterminationImmunogenicity, VaccineVaccinesHumansVaccinesaccuracyassayclinical endpointLinearityvaccinesvalidation

Identifiers

PMID40357562
PMCPMC12118427

What OpenQuestion holds

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Registered trials

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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.