Ontology highlight
ABSTRACT: Background
Ovarian cancer (OC) is diagnosed at advanced stages, resulting in limited treatment options for patients. While early detection of OC has been investigated, the invasiveness of approaches, high sample requirements, or false-positive rates undermined its benefits. Here, we present a "one-step" high-throughput microfluidic platform for epithelial ovarian cancer (EOC) detection that integrates small extracellular vesicle (sEV) capture, in situ lysis, and protein biomarker detection.Results
We identified 1,818 differentially expressed proteins (DEPs) through proteomic analysis of sEVs from patients' serum, combined with cell lines. Through multi-step screening of DEPs, we identified EOC biomarkers to customize the microfluidic platform. We used the microfluidic platf
SUBMITTER: Wu Y
PROVIDER: S-EPMC11974170 | biostudies-literature | 2025 Apr
REPOSITORIES: biostudies-literature