Detailed Information

Cited 50 time in webofscience Cited 55 time in scopus
Metadata Downloads

Exosome-mediated diagnosis of pancreatic cancer using lectin-conjugated nanoparticles bound to selective glycans

Authors
Choi, YonghyunPark, UiseonKoo, Hyung-JunPark, Jin-seokLee, Don HaengKim, KyobumChoi, Jonghoon
Issue Date
1-Apr-2021
Publisher
ELSEVIER ADVANCED TECHNOLOGY
Keywords
Janus nanoparticles; Glycan; Lectin; Metastatic cancer; Pancreatic cancer
Citation
BIOSENSORS & BIOELECTRONICS, v.177
Indexed
SCIE
SCOPUS
Journal Title
BIOSENSORS & BIOELECTRONICS
Volume
177
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/5072
DOI
10.1016/j.bios.2021.112980
ISSN
0956-5663
1873-4235
Abstract
The unique profile of upregulated glycosylation in metastatic cancer cells may form the basis for the development of new biomarkers for the targeting and diagnosis of specific cancers. This study introduces a pancreatic cancer cell-derived exosome detection technology, which is based on the specific binding of lectins to distinctive glycan profiles on the surface of exosomes. Lectins with a high and specific affinity for sialic acid or fucose were attached to bifunctional Janus nanoparticles (JNPs), which facilitated interactions with pancreatic cancer cell-derived exosomes in a microfluidic device. Here, we show that pancreatic cancer cell-derived exosomes from two cell lines and plasma samples collected from patients diagnosed with pancreatic cancer were successfully captured on the lectin-conjugated JNPs with affinities that were comparable to those of CA19-9, a conventional antibody. In addition, exosome detection using our platform could differentiate between metastatic and nonmetastatic pancreatic cancer cells. This study opens the possibility to achieve a new early diagnosis marker based on the glycan properties of pancreatic cancer cell-derived exosomes.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Chemical and Biochemical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Kyo Bum photo

Kim, Kyo Bum
College of Engineering (Department of Chemical and Biochemical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE