Literature DB >> 31912940

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

Mengjiao Huang1, Juanjuan Yang2, Teng Wang2, Jia Song3, Jinglu Xia2, Lingling Wu3, Wei Wang3, Qiaoyi Wu1, Zhi Zhu1, Yanling Song1,3, Chaoyong Yang1,3.   

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.
© 2020 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  PD-L1; aptamers; exosomes; liquid biopsy; thermophoresis

Mesh:

Substances:

Year:  2020        PMID: 31912940     DOI: 10.1002/anie.201916039

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  24 in total

1.  Nanoplasmonic Sandwich Immunoassay for Tumor-Derived Exosome Detection and Exosomal PD-L1 Profiling.

Authors:  Chuanyu Wang; Chung-Hui Huang; Zhuangqiang Gao; Jialiang Shen; Jiacheng He; Alana MacLachlan; Chao Ma; Ya Chang; Wen Yang; Yuxin Cai; Yang Lou; Siyuan Dai; Weiqiang Chen; Feng Li; Pengyu Chen
Journal:  ACS Sens       Date:  2021-09-08       Impact factor: 9.618

2.  Blood plasma derived extracellular vesicles (BEVs): particle purification liquid chromatography (PPLC) and proteomic analysis reveals BEVs as a potential minimally invasive tool for predicting response to breast cancer treatment.

Authors:  Folnetti A Alvarez; Hussein Kaddour; Yuan Lyu; Christina Preece; Jules Cohen; Lea Baer; Alison T Stopeck; Patricia Thompson; Chioma M Okeoma
Journal:  Breast Cancer Res Treat       Date:  2022-09-17       Impact factor: 4.624

Review 3.  Advances in microfluidic extracellular vesicle analysis for cancer diagnostics.

Authors:  Shibo Cheng; Yutao Li; He Yan; Yunjie Wen; Xin Zhou; Lee Friedman; Yong Zeng
Journal:  Lab Chip       Date:  2021-08-05       Impact factor: 7.517

4.  Post-translational regulations of PD-L1 and PD-1: Mechanisms and opportunities for combined immunotherapy.

Authors:  Xiaoming Dai; Yang Gao; Wenyi Wei
Journal:  Semin Cancer Biol       Date:  2021-04-05       Impact factor: 17.012

Review 5.  Extracellular Vesicles in Renal Cell Carcinoma: Multifaceted Roles and Potential Applications Identified by Experimental and Computational Methods.

Authors:  Zhiyuan Qin; Qingwen Xu; Haihong Hu; Lushan Yu; Su Zeng
Journal:  Front Oncol       Date:  2020-05-07       Impact factor: 6.244

6.  Aptamer Blocking Strategy Inhibits SARS-CoV-2 Virus Infection.

Authors:  Miao Sun; Siwen Liu; Xinyu Wei; Shuang Wan; Mengjiao Huang; Ting Song; Yao Lu; Xiaonan Weng; Zhu Lin; Honglin Chen; Yanling Song; Chaoyong Yang
Journal:  Angew Chem Int Ed Engl       Date:  2021-03-10       Impact factor: 16.823

7.  Exosomal PD-L1 and N-cadherin predict pulmonary metastasis progression for osteosarcoma patients.

Authors:  Jun Wang; Hongliang Zhang; Xin Sun; Xiaofang Wang; Tingting Ren; Yi Huang; Ranxin Zhang; Bingxin Zheng; Wei Guo
Journal:  J Nanobiotechnology       Date:  2020-10-22       Impact factor: 10.435

8.  Nanozyme-assisted sensitive profiling of exosomal proteins for rapid cancer diagnosis.

Authors:  Huixia Di; Ze Mi; Yan Sun; Xuehui Liu; Xinzhuo Liu; Ang Li; Ying Jiang; Hongmei Gao; Pengfei Rong; Dingbin Liu
Journal:  Theranostics       Date:  2020-07-23       Impact factor: 11.556

Review 9.  Exosomal PD-L1: New Insights Into Tumor Immune Escape Mechanisms and Therapeutic Strategies.

Authors:  Kaijian Zhou; Shu Guo; Fei Li; Qiang Sun; Guoxin Liang
Journal:  Front Cell Dev Biol       Date:  2020-10-15

Review 10.  Extracellular Vesicles and Their Role in the Spatial and Temporal Expansion of Tumor-Immune Interactions.

Authors:  Simone Lipinski; Katharina Tiemann
Journal:  Int J Mol Sci       Date:  2021-03-25       Impact factor: 5.923

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