Evidence map›Paper›PMID 42520171›Full record

ArticleChembiochem : a European journal of chemical biology2026

Generation of DAR1 Glycosite-Specific Antibody-Drug Conjugates Using DisacLink Technology.

Yaqi Shi, Yan Zhao, Zhi Liu, Fengnan Song, Xu Wang, Caili Luo, Fei Xia, Mengru Lu, Holger Husi, Weihua Meng and 3 more

Abstract read
In one paragraph

Article in Chembiochem : a European journal of chemical biology, 2026. 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. Generation of DAR1 Glycosite-Specific Antibody-Drug Conjugates Using DisacLink Technology.Chembiochem : a European journal of chemical biology · 2026
    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

13 authors.

Yaqi ShiState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
Yan ZhaoState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.ORCID https://orcid.org/0009-0001-6127-6380
Zhi LiuState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.ORCID https://orcid.org/0000-0002-1417-9852
Fengnan SongState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
Xu WangKey Laboratory of Glyco-drug Research of Zhejiang Province, School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China.
Caili LuoShanghai GlycanLink Biotech. Co. Ltd., Shanghai, China.
Fei XiaState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
Mengru LuKey Laboratory of Glyco-drug Research of Zhejiang Province, School of Pharmaceutical Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China.
Holger HusiNottingham Ningbo China Beacons of Excellence Research and Innovation Institute, University of Nottingham Ningbo China, Ningbo, China.ORCID https://orcid.org/0000-0001-9049-4304
Weihua MengNottingham Ningbo China Beacons of Excellence Research and Innovation Institute, University of Nottingham Ningbo China, Ningbo, China.
Feng TangState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.ORCID https://orcid.org/0000-0002-2156-7271
Wei HuangState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.ORCID https://orcid.org/0000-0001-6432-1848
Wei ShiState Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.ORCID https://orcid.org/0000-0002-9924-8756

Funding

Central Guiding Local Science and Technology Development Fund Projects 2025ZY01043Hangzhou Innovation and Entrepreneurship Leading Team Project TD2020005National Natural Science Foundation of China 22277126National Natural Science Foundation of China 22337003National Natural Science Foundation of China 22422705National Natural Science Foundation of China 82325045National Natural Science Foundation of China 92478204
6 · The paper itself

Abstract

The drug-to-antibody ratio (DAR) represents a critical quality attribute for antibody-drug conjugates (ADCs). Conventional site-specific conjugation strategies typically generate ADCs with defined DAR values ranging from 2 to 8. However, for ultrapotent cytotoxic payloads, lower DAR values have been shown to enhance tumor tissue penetration and improve safety profiles. Similarly, in antibody-oligonucleotide conjugates (AOCs), reduced DAR values contribute to optimized pharmacokinetic behavior. Previously, we developed a glycosite-specific ADC construction method, termed DisacLink technology, based on synthetic LacNAc oxazoline derivatives. Building on this platform, we have now designed bis-functionalized drug-linkers that enable the generation of glycosite-specific DAR1 ADCs. This method achieves high conjugation efficiency, demonstrates the applicability to the major human IgG subclasses and commonly used payloads, yielding site-specific conjugates with acceptable homogeneity, favorable thermal and aggregation stability, and potent in vitro and in vivo antitumor activity.

Indexed as

Antineoplastic AgentsImmunoconjugatesAnimalsCell Line, TumorHumansImmunoglobulin GMiceAntineoplastic AgentsImmunoconjugatesImmunoglobulin Gbis‐functionalized drug‐linkersDAR 1 ADCsDisacLink technologydrug designmedicinal chemistry

Identifiers

PMID42520171
PMCPMC13412066

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.