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Cho, Yoon-Kyoung
FRUITS Lab.
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Alix-normalized exosomal programmed death-ligand 1 analysis in urine enables precision monitoring of urothelial cancer

Author(s)
Woo, Hyun-KyungPark, JuheeKim, Kyung HwanKu, Ja YoonHa, Hong KooCho, Yoon-Kyoung
Issued Date
2024-03
DOI
10.1111/cas.16106
URI
https://scholarworks.unist.ac.kr/handle/201301/82257
Citation
CANCER SCIENCE
Abstract
Anti-programmed death-ligand 1 (PD-L1) Ab-based therapies have demonstrated potential for treating metastatic urothelial cancer with high PD-L1 expression. Urinary exosomes are promising biomarkers for liquid biopsy, but urine's high variability requires normalization for accurate analysis. This study proposes using the PD-L1/Alix ratio to normalize exosomal PD-L1 signal intensity with Alix, an internal exosomal protein less susceptible to heterogeneity concerns than surface protein markers. Extracellular vesicles were isolated using ExoDisc and characterized using various methods, including ExoView to analyze tetraspanins, PD-L1, and Alix on individual exosomes. On-disc ELISA was used to evaluate PD-L1 and Alix-normalized PD-L1 in 15 urothelial cancer patients during the initial treatment cycle with Tecentriq. Results showed that Alix signal range was relatively uniform, whereas tetraspanin marker intensity varied for individual exosome particles. On-disc ELISA was more reliable for detecting exosomal PD-L1 expression than standard plate ELISA-based measurement. Using exosomal Alix expression for normalization is a more reliable approach than conventional methods for monitoring patient status. Overall, the study provides a practical and reliable method for detecting exosomal PD-L1 in urine samples from patients with urothelial cancer. This paper suggests using exosomal Alix as a reliable normalization method for detecting programmed death-ligand 1 (PD-L1) in urine. The study shows that on-disc ELISA can accurately detect exosomal PD-L1 without surface immobilization. This innovative approach addresses the limitations of traditional normalization methods and offers practical solutions for identifying urinary biomarkers and improving diagnostic and therapeutic approaches for urothelial cancer patients.image
Publisher
WILEY
ISSN
1347-9032
Keyword (Author)
exosomenormalizationPD-L1urineurothelial cancer

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