Metabolic Tagging of Tumour Extracellular Vesicles for Targeted Modulation of Dendritic Cells

ABSTRACT Extracellular vesicles (EVs) have emerged as a promising alternative to cell‐based therapies due to their benign safety profiles and favourable pharmacokinetic properties. Tumour EVs, in particular, have shown promise to function as a therapeutic cancer vaccine for various cancer types. However, the efficient and targeted delivery of EVs to dendritic cells, the prominent type of antigen‐presenting cells in the body, remains a challenge. Here we report the metabolic tagging of tumour EVs with azido groups for subsequent conjugation of anti‐DEC205 via efficient click chemistry. We showed that azido‐sugars can metabolically label cancer cells with azido groups and that azido‐labelled cells can secrete azido‐tagged EVs. Anti‐DEC205, upon facile modification with dibenzocyclooctyne, was successfully conjugated onto azido‐tagged EVs. Anti‐DEC205‐conjugated EVs were preferentially internalized by dendritic cells over other types of immune cells, and improved the processing and presentation of EV‐encased antigens by dendritic cells. We further demonstrated the ability of anti‐DEC205‐conjugated EVs to induce enhanced cytotoxic T lymphocyte responses and antitumor efficacy in comparison with control EVs. Our study provides a facile and universal approach to chemically tagging EVs and conjugating targeting moieties to EVs, for targeted modulation of cells of interest.

Authors

Institutions

Publication Details

Journal
Journal of Extracellular Vesicles
Published
2026-05-28
DOI
https://doi.org/10.1002/jev2.70304
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Metabolic Tagging of Tumour Extracellular Vesicles for Targeted Modulation of Dendritic Cells

Rimsha Bhatta, Ruike Dai, Liu Y, Jiadiao Zhou et al.
Journal of Extracellular Vesicles
Nanoplatforms for cancer theranostics
article

Metabolic Tagging of Tumour Extracellular Vesicles for Targeted Modulation of Dendritic Cells

Rimsha Bhatta, Ruike Dai, Liu Y, Jiadiao Zhou, Wenhao Xu, Hua Wang, Yixin Xue
article en

Abstract

ABSTRACT Extracellular vesicles (EVs) have emerged as a promising alternative to cell‐based therapies due to their benign safety profiles and favourable pharmacokinetic properties. Tumour EVs, in particular, have shown promise to function as a therapeutic cancer vaccine for various cancer types. However, the efficient and targeted delivery of EVs to dendritic cells, the prominent type of antigen‐presenting cells in the body, remains a challenge. Here we report the metabolic tagging of tumour EVs with azido groups for subsequent conjugation of anti‐DEC205 via efficient click chemistry. We showed that azido‐sugars can metabolically label cancer cells with azido groups and that azido‐labelled cells can secrete azido‐tagged EVs. Anti‐DEC205, upon facile modification with dibenzocyclooctyne, was successfully conjugated onto azido‐tagged EVs. Anti‐DEC205‐conjugated EVs were preferentially internalized by dendritic cells over other types of immune cells, and improved the processing and presentation of EV‐encased antigens by dendritic cells. We further demonstrated the ability of anti‐DEC205‐conjugated EVs to induce enhanced cytotoxic T lymphocyte responses and antitumor efficacy in comparison with control EVs. Our study provides a facile and universal approach to chemically tagging EVs and conjugating targeting moieties to EVs, for targeted modulation of cells of interest.

Journal of Extracellular VesiclesVol. 15(6)
University of Illinois Urbana-Champaign (US), Community Cancer Center (US)
American Cancer Society, National Natural Science Foundation of China, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 10%
Nanoplatforms for cancer theranostics
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.