[Angew. Chem. Int. Ed.] Prof.Chaoyong Yang’s group published a paper entitled“Homogeneous, Low-volume, Efficient and Sensitive Quantitation of Circulating Exosomal PD-L1 for Cancer Diagnosis and Immunotherapy Response Prediction”

Update Date:2020-02-01     Visited:Times     

Title:Homogeneous, Low-volume, Efficient and Sensitive Quantitation of Circulating Exosomal PD-L1 for Cancer Diagnosis and Immunotherapy Response Prediction

Angew. Chem. Int. Ed.DOI: 10.1002/anie.201916039

 

Authors:

Mengjiao Huang, Juanjuan Yang, Teng Wang, Jia Song, Jinglu Xia, Lingling Wu, Wei Wang, Qiaoyi Wu, Zhi Zhu, Yanling Song*, Chaoyong Yang*

 

Abstract:

Immunotherapy has revolutionized cancer treatment, but its efficacy is severely hindered by the lack of effective predictors. Herein, we developed a homogeneous, low‐volume, efficient, and sensitive exosomal programmed death‐ligand 1 (PD‐L1, a type of transmembrane protein) quantitation method for cancer diagnosis and immunotherapy response prediction (HOLMES‐ExoPD‐L1). The method combines a newly evolved aptamer that efficiently binds to PD‐L1 with less hindrance by antigen glycosylation than antibody, and homogeneous thermophoresis with a rapid binding kinetic. As a result, HOLMES‐ExoPD‐L1 is higher in sensitivity, more rapid in reaction time, and easier to operate than existing enzyme‐linked immunosorbent assay (ELISA)‐based methods. As a consequence of an outstanding improvement of sensitivity, the level of circulating exosomal PD‐L1 detected by HOLMES‐ExoPD‐L1 can effectively distinguish cancer patients from healthy volunteers, and for the first time was found to correlate positively with the metastasis of adenocarcinoma. Overall, HOLMES‐ExoPD‐L1 brings a fresh approach to exosomal PD‐L1 quantitation, offering unprecedented potential for early cancer diagnosis and immunotherapy response prediction.

Supporting Information

 

 

                                             

 

Published: 08 January 2020

 

Full Link:https://onlinelibrary.wiley.com/doi/10.1002/anie.201916039