Specifically Editing Cancer Sialoglycans for Enhanced In Vivo Immunotherapy through Aptamer‐Enzyme Chimeras

Immune checkpoint blockade (ICB) therapies have demonstrated remarkable clinical success in treating cancer. However, their objective response rate remains suboptimal because current therapies rely on limited immune checkpoints that fail to cover the multiple immune evasion pathways of cancer. To explore potential ICB strategies, we propose a glycoimmune checkpoint elimination (glycoICE) therapy based on targeted editing of sialoglycans on the tumor cell surface using an aptamer-enzyme chimera (ApEC). The ApEC can be readily generated via a one-step bioorthogonal procedure, allowing for large-scale and uniform production. It specifically targets and desialylates cancer cells, disrupting the sialoglycan-Siglec axis to activate immune cells and enhance immunotherapy efficacy, while its high tumor selectivity minimizes side effects from indiscriminate desialylation of normal tissues. Furthermore, the ApEC has the potential to be a versatile platform for specific editing of sialoglycans in different tumor models by adjusting the aptamer sequences to target specific protein markers. This research not only introduces a novel molecular tool for the effective editing of sialoglycans in complex environments, but also provides valuable insights for advancing DNA-based drugs towards in vivo and clinical applications.

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Publication Details

Journal
Angewandte Chemie International Edition
Published
2024-09-26
DOI
https://doi.org/10.1002/anie.202414327
Citations
7
Primary Topic
Glycosylation and Glycoproteins Research
Type
article
Field-Weighted Citation Impact
1.64

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article

Specifically Editing Cancer Sialoglycans for Enhanced In Vivo Immunotherapy through Aptamer‐Enzyme Chimeras

Mengyi Xiong, Hang Xing, Xiaobing Zhang, Qin Liu
7 citations
Angewandte Chemie International Edition
Glycosylation and Glycoproteins Research
1.64
article

Specifically Editing Cancer Sialoglycans for Enhanced In Vivo Immunotherapy through Aptamer‐Enzyme Chimeras

Mengyi Xiong, Hang Xing, Xiaobing Zhang, Qin Liu
article en
7 citations

Abstract

Immune checkpoint blockade (ICB) therapies have demonstrated remarkable clinical success in treating cancer. However, their objective response rate remains suboptimal because current therapies rely on limited immune checkpoints that fail to cover the multiple immune evasion pathways of cancer. To explore potential ICB strategies, we propose a glycoimmune checkpoint elimination (glycoICE) therapy based on targeted editing of sialoglycans on the tumor cell surface using an aptamer-enzyme chimera (ApEC). The ApEC can be readily generated via a one-step bioorthogonal procedure, allowing for large-scale and uniform production. It specifically targets and desialylates cancer cells, disrupting the sialoglycan-Siglec axis to activate immune cells and enhance immunotherapy efficacy, while its high tumor selectivity minimizes side effects from indiscriminate desialylation of normal tissues. Furthermore, the ApEC has the potential to be a versatile platform for specific editing of sialoglycans in different tumor models by adjusting the aptamer sequences to target specific protein markers. This research not only introduces a novel molecular tool for the effective editing of sialoglycans in complex environments, but also provides valuable insights for advancing DNA-based drugs towards in vivo and clinical applications.

Angewandte Chemie International EditionVol. 64(2)
Hunan University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, National Postdoctoral Program for Innovative Talents, Key Research and Development Program of Sichuan Province
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 16%
Glycosylation and Glycoproteins Research
1.64
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Specifically Editing Cancer Sialoglycans for Enhanced In Vivo Immunotherapy through Aptamer‐Enzyme Chimeras — Mengyi Xiong, Hang Xing, et al. · Angewandte Chemie International Edition (2024) | TGRS Research Map | TGRS