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

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.

Authors

Institutions

Publication Details

Journal
JACS Au
Published
2026-04-15
DOI
https://doi.org/10.1021/jacsau.5c01596
Primary Topic
Glycosylation and Glycoproteins Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Felix Goerdeler, Peter H. Seeberger, María Andrea Mroginski, Oren Moscovitz et al.
JACS Au
Glycosylation and Glycoproteins Research
article

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

Felix Goerdeler, Peter H. Seeberger, María Andrea Mroginski, Oren Moscovitz, Jost Lühle, Michael Krummhaar, Anika Freitag, Janine Arndt, Carsten Kamphues, Ruslan Nedielkov, Heiko M. Möller, Sana K. Khilji, Gustavo M. S. G. Moreira, Christian Roth
article en

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.

JACS AuVol. 6(4)
Magna International (Germany) (DE), University of Potsdam (DE), Max Planck Institute of Colloids and Interfaces (DE), Universitätsklinik für Chirurgie Wien (AT), Chirurgische Universitätsklinik Heidelberg (DE), Technische Universität Berlin (DE), Franklin University (US), Freie Universität Berlin (DE)
Max-Planck-Gesellschaft, Technische Universität Berlin, Freie Universität Berlin
Good health and well-being
Openalex Percentile: Top 23%
Glycosylation and Glycoproteins Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.