Abstract

Exosomal PD-L1 (exoPD-L1) has recently received significant attention as a biomarker predicting immunotherapeutic responses involving the PD1/PD-L1 pathway. However, current technologies for exosomal analysis rely primarily on bulk measurements that do not consider the heterogeneity found within exosomal subpopulations. Here, we present a nanoscale cytometry platform NanoEPIC, enabling phenotypic sorting and exoPD-L1 profiling from blood plasma. We highlight the efficacy of NanoEPIC in monitoring anti-PD-1 immunotherapy through the interrogation of exoPD-L1. NanoEPIC generates signature exoPD-L1 patterns in responders and non-responders. In mice treated with PD1-targeted immunotherapy, exoPD-L1 is correlated with tumor growth, PD-L1 burden in tumors, and the immune suppression of CD8+ tumor-infiltrating lymphocytes. Small extracellular vesicles (sEVs) with different PD-L1 expression levels display distinctive inhibitory effects on CD8 + T cells. NanoEPIC offers robust, high-throughput profiling of exosomal markers, enabling sEV subpopulation analysis. This platform holds the potential for enhanced cancer screening, personalized treatment, and therapeutic response monitoring.

Exosomal PD-L1 (exoPD-L1) is a biomarker predicting immunotherapeutic responses. Here the authors report NanoEPIC, a nanoscale cytometry platform that enables phenotypic sorting and exoPD-L1 profiling from blood plasma by using magnetic-activated ranking to differentiate exosomal subpopulations.

Details

Title
A magneto-activated nanoscale cytometry platform for molecular profiling of small extracellular vesicles
Author
Chen, Kangfu 1   VIAFID ORCID Logo  ; Duong, Bill T. V. 2 ; Ahmed, Sharif U. 1 ; Dhavarasa, Piriththiv 3 ; Wang, Zongjie 4   VIAFID ORCID Logo  ; Labib, Mahmoud 5   VIAFID ORCID Logo  ; Flynn, Connor 6   VIAFID ORCID Logo  ; Xu, Jingya 2 ; Zhang, Yi Y. 1 ; Wang, Hansen 1   VIAFID ORCID Logo  ; Yang, Xiaolong 1 ; Das, Jagotamoy 7   VIAFID ORCID Logo  ; Zargartalebi, Hossein 1 ; Ma, Yuan 1 ; Kelley, Shana O. 8   VIAFID ORCID Logo 

 University of Toronto, Department of Pharmaceutical Sciences, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938) 
 University of Toronto, Department of Chemistry, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938) 
 University of Toronto, Department of Biochemistry, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938) 
 Northwestern University, Department of Biomedical Engineering, Evanston, USA (GRID:grid.16753.36) (ISNI:0000 0001 2299 3507) 
 University of Toronto, Department of Pharmaceutical Sciences, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); Northwestern University, Department of Chemistry, Evanston, USA (GRID:grid.16753.36) (ISNI:0000 0001 2299 3507); University of Plymouth, Peninsula Medical School, Faculty of Health, Plymouth, UK (GRID:grid.11201.33) (ISNI:0000 0001 2219 0747) 
 University of Toronto, Department of Chemistry, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); Northwestern University, Department of Chemistry, Evanston, USA (GRID:grid.16753.36) (ISNI:0000 0001 2299 3507) 
 Northwestern University, Department of Chemistry, Evanston, USA (GRID:grid.16753.36) (ISNI:0000 0001 2299 3507) 
 University of Toronto, Department of Pharmaceutical Sciences, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); University of Toronto, Department of Chemistry, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); University of Toronto, Department of Biochemistry, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); Northwestern University, Department of Biomedical Engineering, Evanston, USA (GRID:grid.16753.36) (ISNI:0000 0001 2299 3507); Northwestern University, Department of Chemistry, Evanston, USA (GRID:grid.16753.36) (ISNI:0000 0001 2299 3507); University of Toronto, Institute for Biomaterials and Biomedical Engineering, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938); Chan Zuckerberg Biohub Chicago, Chicago, USA (GRID:grid.17063.33) 
Pages
5576
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2863641856
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.