PXD053690

PXD053690 is an original dataset announced via ProteomeXchange.

Title	An exosome-based one-step high-throughput microfluidic platform for epithelial ovarian cancer diagnosis
Description	Exosomes, reflecting the live cellular state, hold promise for non-invasive disease detection. However, the significance of exosome cargos has been underestimated, particularly in the clinic, mainly due to the scarcity of exosome. Here, we present a "one-step" high-throughput microfluidic platform integrating exosome capture, in situ lysis, and protein biomarker detection, which was further designed for epithelial ovarian cancer (EOC) detection in a prospective cohort with 2–8 μL of serum samples. Through proteomic analysis of exosomes from patients' serum, combined with cell lines, we identified total 1818 differential expressed protein (DEP) and determined DEPs to develop the EOC detection microfluidic platform via multi-step screening. Based on the results of the platform's examination of the prospective cohort, an EOC detection model (P9) was developed and validated, whose specificities reached 98.8% (95% CI, 93.6%–99.8%) in the training set and 100.0% (95% CI, 91.6%–100.0%) in the validation set. The combination of P9 and CA125 exhibited 100.0% specificity in both training and validation sets, indicating a promising non-invasive modality for EOC detection that could reduce the risks associated with false-positive results. Our study also suggests that this high-throughput microfluidic platform can be customized to target a variety of exosome cargos for diverse clinical applications.
HostingRepository	iProX
AnnounceDate	2024-07-04
AnnouncementXML	Submission_2025-12-31_00:29:43.010.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Yuhan Guo
SpeciesList	scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Fusion Lumos

Revision	Datetime	Status	ChangeLog Entry
0	2024-07-05 02:58:43	ID requested
⏵ 1	2025-12-31 00:29:43	announced

Wu Y, Wang C, Guo Y, Zhang Y, Zhang X, Wang P, Yue W, Zhu X, Liu Z, Zhang Y, Guo H, Han L, Li M, Small extracellular vesicle-based one-step high-throughput microfluidic platform for epithelial ovarian cancer diagnosis. J Nanobiotechnology, 23(1):278(2025) [pubmed]

submitter keyword: Microfluid platform, Exosome, Proteome, Epithelial ovarian cancer (EOC), Cancer early diagnosis

Mo Li
contact affiliation	Peking University Third Hospital
contact email	limo@hsc.pku.edu.cn
lab head
Yuhan Guo
contact affiliation	Peking University Third Hospital
contact email	guoyuhan0827@163.com
dataset submitter

iProX dataset URI