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.
Original language | English (US) |
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Article number | 5576 |
Journal | Nature communications |
Volume | 14 |
Issue number | 1 |
DOIs | |
State | Published - Dec 2023 |
Funding
We would like to acknowledge the cleanroom in St. Michael’s Hospital and the CRAFT cleanroom at the University of Toronto. for providing facilities, materials, and consumables for microfabrication. The reported study is supported by the Nanomedicines Innovation Network (NMIN) of Canada (Project Number: 2019-T3-02 to S.O.K.). We would like to acknowledge the cleanroom in St. Michael’s Hospital and the CRAFT cleanroom at the University of Toronto. for providing facilities, materials, and consumables for microfabrication. The reported study is supported by the Nanomedicines Innovation Network (NMIN) of Canada (Project Number: 2019-T3-02 to S.O.K.).
ASJC Scopus subject areas
- General Chemistry
- General Biochemistry, Genetics and Molecular Biology
- General Physics and Astronomy