Evidence map›Paper›PMID 41207862›Full record

ArticlemAbs2025

Heterogeneous and evolving epitope landscape of clinical anti-drug antibodies against multidomain biotherapeutic: a case study of TAK-186.

Ruoxuan Sun, Janey Ronxhi, Mark G Qian, Zheng Zha, Bin Li, Xiaobin Zhang

Abstract read
In one paragraph

Article in mAbs, 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. Review
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.

Ruoxuan SunTranslational Biomarkers and Bioanalytics, Quantitative Pharmacology and Translational Sciences, Takeda Development Center Americas, Inc., Cambridge, MA, USA.ORCID 0000-0001-5981-412X
Janey RonxhiTranslational Biomarkers and Bioanalytics, Quantitative Pharmacology and Translational Sciences, Takeda Development Center Americas, Inc., Cambridge, MA, USA.
Mark G QianTranslational Biomarkers and Bioanalytics, Quantitative Pharmacology and Translational Sciences, Takeda Development Center Americas, Inc., Cambridge, MA, USA.
Zheng ZhaComputational Biology and Human Genetics, Computer Science and Data Strategy, Takeda Development Center Americas, Inc., Cambridge, MA, USA.
Bin LiComputational Biology and Human Genetics, Computer Science and Data Strategy, Takeda Development Center Americas, Inc., Cambridge, MA, USA.
Xiaobin ZhangTranslational Biomarkers and Bioanalytics, Quantitative Pharmacology and Translational Sciences, Takeda Development Center Americas, Inc., Cambridge, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of anti-drug antibodies (ADAs) poses a major obstacle in the clinical development of therapeutic proteins (TPs) such as monoclonal antibodies and their derivatives. While standard multitiered ADA assays and neutralizing antibody assays offer valuable insights into the humoral immunogenicity risks of TPs, they are not sufficient to provide in-depth knowledge such as ADA epitope specificities. For complex multidomain biotherapeutics (MDBs), ADAs targeting individual domains can elicit distinct pharmacological effects. Therefore, it is crucial to implement straightforward and reliable methodologies to deconvolute ADA epitope profiles of MDBs. Herein, we report a case study using domain specificity analysis, linear peptide scanning and bioinformatic B cell epitope prediction to unveil the clinical ADA epitope landscape of TAK-186, a multidomain T cell engager that has been discontinued from clinical development. By applying this workflow, we observed strong domain specificity variability among patient samples. Furthermore, the data showed that many patients demonstrated evolved ADA epitope specificities throughout the course of the treatment. Several potential linear epitopes were identified subsequently through experimental and computational approaches. Overall, we presented in this study a practical strategy to elucidate and potentially mitigate the immunogenicity liabilities of complex biotherapeutics.

Indexed as

Antibodies, MonoclonalEpitopes, B-LymphocyteAntibody SpecificityEpitopesHumansAntibodies, MonoclonalEpitopesEpitopes, B-LymphocyteAnti-drug antibodiesbioanalysisdomain specificityepitope mappingimmunogenicitymultidomain biotherapeuticspeptide screening

Identifiers

PMID41207862
PMCPMC12599342

What OpenQuestion holds

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LicenceCC BY-NC
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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.