Evidence map›Paper›PMID 42063835›Full record

ArticleJACS Au2026

Integrative Approach to Develop and Characterize Antibodies against the Cancer-Associated Antigen Sialyl Lewis A (CA 19-9).

Anika Freitag, Sana K Khilji, Ruslan Nedielkov, Shalini M Kumar, Michael Krummhaar, Janine Arndt, Gustavo M S G Moreira, Jost Lühle, Felix Goerdeler, Carsten Kamphues and 5 more

Abstract read
In one paragraph

Article in JACS Au, 2026. 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

15 authors.

Anika FreitagDepartment of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany.
Sana K KhiljiDepartment of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany.
Ruslan NedielkovInstitute of Chemistry, University of Potsdam, 14476 Potsdam, Germany.
Shalini M KumarInstitute of Chemistry, Technische Universität Berlin, 10623 Berlin, Germany.
Michael KrummhaarDepartment of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany.
Janine ArndtChirurgisches Forschungslabor, Klinik für Allgemein- und Viszeralchirurgie, Charité -Universitätsmedizin, Campus Benjamin Franklin, 12203 Berlin, Germany.
Gustavo M S G MoreiraTacalyx GmbH, Magnusstr. 11, 12489 Berlin, Germany.
Jost LühleDepartment of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany.ORCID https://orcid.org/0000-0002-1524-5911
Felix GoerdelerDepartment of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany.
Carsten KamphuesChirurgisches Forschungslabor, Klinik für Allgemein- und Viszeralchirurgie, Charité -Universitätsmedizin, Campus Benjamin Franklin, 12203 Berlin, Germany.
Maria A MroginskiInstitute of Chemistry, Technische Universität Berlin, 10623 Berlin, Germany.ORCID https://orcid.org/0000-0002-7497-5631
Christian RothDepartment of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany.
Peter H SeebergerDepartment of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany.ORCID https://orcid.org/0000-0003-3394-8466
Heiko M MöllerInstitute of Chemistry, University of Potsdam, 14476 Potsdam, Germany.ORCID https://orcid.org/0000-0002-5795-1195
Oren MoscovitzDepartment of Biomolecular Systems, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany.ORCID https://orcid.org/0000-0002-6310-2579

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sialyl Lewis A (sLeA), or the CA 19-9 marker, is the best validated and only FDA-approved serologic marker clinically used to monitor recurrence, progression, and therapy efficiency in pancreatic ductal adenocarcinoma (PDAC) patients, making it an attractive target for antibody development. Recent clinical trials have demonstrated satisfying safety profiles and unique expression in a range of malignancies that highlight CA 19-9 as an attractive TACA to target using a stand-alone drug or an adjuvant therapy. Hence, we set out to explore the use of synthetic sLeA in the development of additional monoclonal antibodies (mAbs) with enhanced sLeA recognition and improved efficacy. Two mAbs targeting sLeA were generated through mice immunization with synthetic sLeA glycoconjugates, synthetic glycan arrays, and hybridoma technology. We then compared the antigen-binding properties of the newly developed mAbs with those of the widely used mAb 1116-NS-19-9 and demonstrated improved affinity and specificity for native sLeA ectopically expressed in B16 melanoma cells, surpassing the performance of the established mAb 1116-NS-19-9. Of the two mAbs, GB11 was more promising. Therefore, to elucidate the structural origin of improved GB11's antigen binding, we conducted high-resolution mapping of the molecular recognition patterns between sLeA and the different antibodies using X-ray crystallography and STD NMR. These analyses revealed subtle yet critical differences in the glycan engagement and identified key structural features underlying enhanced GB11's recognition of sLeA. MD simulations further supported these observations, indicating distinct orientations of sLeA within the binding pockets of each mAb. Our results suggest improved recognition of the native sLeA antigen by the newly generated GB11 antibody, providing a detailed and high-resolution elucidation of the molecular interactions underlying this recognition. Our study provides a tool with improved theranostic properties against sLeA-overexpressing malignancies.

Indexed as

1116-NS-19-9CA 19-9glycan arrayMD simulationpancreatic cancersialyl Lewis ASTD NMRTACA

Identifiers

PMID42063835
PMCPMC13126176

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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.