Kangfu Chen

Dr. Kangfu Chen

Leslie Dean Faculty of Pharmacy, University of Toronto, Toronto, ON M5S, Canada
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 April 2019 in Angewandte Chemie International Edition
Verified
Journal Article
Closed access
PDF file
Kangfu ChenKangfu Chen
Kangfu Chen
PDPablo Dopico
Pablo Dopico
JVJose Varillas
Jose Varillas
JZJinling Zhang
Jinling Zhang
TGThomas J George
Thomas J George
Z. Hugh FanZ. Hugh Fan
Z. Hugh Fan

1 January 2016
Verified
Book Chapter
Closed access
JZJ Zhang
J Zhang
Kangfu ChenKangfu Chen
Kangfu Chen
Z. Hugh FanZ. Hugh Fan
Z. Hugh Fan

1 January 2019 in Theranostics
Verified
Journal Article
Open access
JVJose I. Varillas
Jose I. Varillas
JZJinling Zhang
Jinling Zhang
Kangfu ChenKangfu Chen
Kangfu Chen
IBIsis I. Barnes
Isis I. Barnes
CLChen Liu
Chen Liu
Z. Hugh FanZ. Hugh Fan
Z. Hugh Fan
Background: Pancreatic ductal adenocarcinoma (PDAC) requires multimodal therapeutic approaches and disease monitoring for effective treatment. Liquid biopsy biomarkers, including circulating tumor cells (CTCs) and cancer stem-like cells (CSCs), hold promise for evaluating treatment response promptly and guiding therapeutic modifications.

11 September 2023 in Nature Communications
Verified
Journal Article
Open access
PDF file
Kangfu ChenKangfu Chen
Kangfu Chen
BDBill T. V. Duong
Bill T. V. Duong
SASharif U. Ahmed
Sharif U. Ahmed
PDPiriththiv Dhavarasa
Piriththiv Dhavarasa
Zongjie WangZongjie Wang
Zongjie Wang
SKShana O. Kelley
Shana O. Kelley
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.

26 August 2024 in Analytical Chemistry
Verified
Journal Article
Closed access
JZJiajun Zhan
Jiajun Zhan
FWFuting Wang
Futing Wang
YLYujin Li
Yujin Li
JLJingxian Li
Jingxian Li
SXShi Xiang
Shi Xiang
Ren CaiRen Cai
Ren Cai

10 June 2025 in Nano Letters
Verified
Journal Article
Closed access
FWFuting Wang
Futing Wang
CSChangxiao Song
Changxiao Song
YLYujin Li
Yujin Li
HYHongfen Yang
Hongfen Yang
DYDan Yang
Dan Yang
WTWeihong Tan
Weihong Tan