Alpha-2-macroglobulin as a novel diagnostic biomarker for human bladder cancer in urinary extracellular vesiclesopen access
- Authors
- Lee, Jisu; Park, Hyun Sik; Han, Seung Ro; Kang, Yun Hee; Mun, Ji Young; Shin, Dong Wook; Oh, Hyun-Woo; Cho, Yoon-Kyoung; Lee, Myung-Shin; Park, Jinsung
- Issue Date
- Sep-2022
- Publisher
- Frontiers Media S.A.
- Keywords
- alpha-2-macroglobulin; bladder cancer; extracellular vesicles (EVs); urine; biomarker
- Citation
- Frontiers in Oncology, v.12
- Journal Title
- Frontiers in Oncology
- Volume
- 12
- URI
- http://scholarworks.bwise.kr/kbri/handle/2023.sw.kbri/196
- DOI
- 10.3389/fonc.2022.976407
- ISSN
- 2234-943X
- Abstract
- Extracellular vesicles (EVs) derived from urine are promising tools for the diagnosis of urogenital cancers. Urinary EVs (uEVs) are considered potential biomarkers for bladder cancer (BC) because urine is in direct contact with the BC tumor microenvironment and thus reflects the current state of the disease. However, challenges associated with the effective isolation and analysis of uEVs complicate the clinical detection of uEV-associated protein biomarkers. Herein, we identified uEV-derived alpha-2-macroglobulin (a2M) as a novel diagnostic biomarker for BC through comparative analysis of uEVs obtained from patients with BC pre- and post-operation using an antibody array. Furthermore, enzyme-linked immunosorbent assay of uEVs isolated from patients with BC (n=60) and non-cancer control subjects (n=23) validated the significant upregulation of a2M expression in patient uEVs (p<0.0001). There was no significant difference in whole urine a2M levels between patients with BC and controls (p=0.317). We observed that compared to classical differential centrifugation, ExoDisc, a centrifugal microfluidic tangential flow filtration device, was a significantly more effective separation method for uEV protein analysis. We expect that our approach for EV analysis will provide an efficient route for the identification of clinically meaningful uEV-based biomarkers for cancer diagnosis.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 연구본부 > 신경회로 연구그룹 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.