Extracellular Vesicle Proteome Analysis Improves Diagnosis of Recurrence in Triple‐Negative Breast Cancer

ABSTRACT We explored the diagnostic utility of tumor‐derived extracellular vesicles (tdEVs) in breast cancer (BC) by performing comprehensive proteomic profiling on plasma samples from 130 BC patients and 40 healthy controls (HC). Leveraging a microfluidic chip‐based isolation technique optimized fo...

Full description

Bibliographic Details
Published in:Journal of Extracellular Vesicles
Main Authors: Ju‐Yong Hyon, Min Woo Kim, Kyung‐A Hyun, Yeji Yang, Seongmin Ha, Jee Ye Kim, Young Kim, Sunyoung Park, Hogyeong Gawk, Heaji Lee, Suji Lee, Sol Moon, Eun Hee Han, Jin Young Kim, Ji Yeong Yang, Hyo‐Il Jung, Seung Il Kim, Young‐Ho Chung
Format: Article
Language:English
Published: Wiley 2025-06-01
Subjects:
diagnosis
machine learning
microfluidics
proteomic analysis
triple‐negative breast cancer
tumour derived extracellular vesicles
Online Access:https://doi.org/10.1002/jev2.70089

Internet

https://doi.org/10.1002/jev2.70089

Similar Items