PXD036726

PXD036726 is an original dataset announced via ProteomeXchange.

Title	Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer
Description	High grade serous ovarian carcinoma (HGSOC) accounts for ~70% of ovarian cancer cases. Non-invasive, highly specific blood-based tests for pre-symptomatic screening in women are crucial to reducing the mortality associated with this disease. Since most HGSOCs typically arise from the fallopian tubes (FT), our biomarker search focused on proteins found on the surface of extracellular vesicles (EVs) released by both FT and HGSOC tissue explants and representative cell lines. Using mass spectrometry, 985 EV proteins (exo-proteins) were identified that comprised the FT/HGSOC EV core proteome. Transmembrane exo-proteins were prioritized because these could serve as antigens for capture and/or detection. With a nano-engineered microfluidic platform, six newly discovered exo-proteins (ACSL4, IGSF8, ITGA2, ITGA5, ITGB3, MYOF) plus a known HGSOC associated protein, FOLR1 exhibited classification performance ranging from 85-98% in a case-control study using plasma samples representative of early (including stage IA/B) and late stage (stage III) HGSOCs. Furthermore, by a linear combination of IGSF8 and ITGA5 based on logistic regression analysis, we achieved a sensitivity of 80% with 99.8% specificity and a positive predictive value of 13.8%. Importantly, these exo-proteins also can accurately discriminate between ovarian and 12 types of cancers commonly diagnosed in women. Our studies demonstrate that these lineage-associated exo-biomarkers can detect ovarian cancer with high specificity and sensitivity early and potentially while localized to the FT when patient outcomes are more favorable.
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_06:05:25.601.xml
DigitalObjectIdentifier	https://dx.doi.org/10.6019/PXD036726
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Supported dataset by repository
PrimarySubmitter	Camille Trinidad
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Fusion Lumos

Revision	Datetime	Status	ChangeLog Entry
0	2022-09-14 03:19:26	ID requested
1	2023-10-09 19:16:23	announced
⏵ 2	2024-10-22 06:05:25	announced	2024-10-22: Updated project metadata.

10.6019/PXD036726;

submitter keyword: exosomes, high grade serous,extracellular vesicles, ovarian cancer, fallopian tube, early detection, biomarkers

Andrew K.
contact affiliation	Department of Microbiology, Molecular Genetics and Immunology, University of Kansas Medical Center, Kansas City, Kansas, USA
contact email	agodwin@kumc.edu
lab head
Camille Trinidad
contact affiliation	University of Kansas Medical Center
contact email	camilleviscotrinidad@gmail.com
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD036726
     1. Label: PRIDE project
     2. Name: Lineage specific extracellular vesicle-associated protein biomarkers for the early detection of high grade serous ovarian cancer