It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
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.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details







1 University of Toronto, Department of Pharmaceutical Sciences, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938)
2 University of Toronto, Department of Chemistry, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938)
3 University of Toronto, Department of Biochemistry, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938)
4 Northwestern University, Department of Biomedical Engineering, Evanston, USA (GRID:grid.16753.36) (ISNI:0000 0001 2299 3507)
5 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)
6 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)
7 Northwestern University, Department of Chemistry, Evanston, USA (GRID:grid.16753.36) (ISNI:0000 0001 2299 3507)
8 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)