PXD050276-1

PXD050276 is an original dataset announced via ProteomeXchange.

Title	Proteomic datasets for the identification of endometrial cancer in minimally invasive samples (cervico-vaginal fluid and blood plasma).
Description	The aim of the underlying study was to identify protein signatures for the detection of endometrial cancer in minimally invasive samples such as cervico-vaginal fluid and blood plasma. Plasma and Delphi Screener-collected cervico-vaginal fluid samples were acquired from post-menopausal women who were symptomatic with (n=53)and without(n=65)endometrial cancer. Digitised proteomic maps were developed for each sample by sequential window acquisition of all theoretical mass spectra (SWATH-MS). Machine learning was employed to identify the most discriminatory proteins and a set of high-perfoming biomarker signatures obtained.
HostingRepository	PRIDE
AnnounceDate	2024-06-23
AnnouncementXML	Submission_2024-06-23_04:37:50.616.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Kelechi Njoku
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	TripleTOF 5600

Revision	Datetime	Status	ChangeLog Entry
0	2024-03-01 16:59:11	ID requested
⏵ 1	2024-06-23 04:37:51	announced
2	2024-10-22 06:47:15	announced	2024-10-22: Updated project metadata.

10.1016/j.ebiom.2024.105064;

Njoku K, Pierce A, Chiasserini D, Geary B, Campbell AE, Kelsall J, Reed R, Geifman N, Whetton AD, Crosbie EJ, Detection of endometrial cancer in cervico-vaginal fluid and blood plasma: leveraging proteomics and machine learning for biomarker discovery. EBioMedicine, 102():105064(2024) [pubmed]

submitter keyword: proteomics,Endometrial cancer, SWATH, plasma, cervico-vaginal fluid

Prof Emma J Crosbie
contact affiliation	Division of Cancer Sciences, University of Manchester
contact email	emma.crosbie@manchester.ac.uk
lab head
Kelechi Njoku
contact affiliation	University of Manchester
contact email	kelechi.njoku@manchester.ac.uk
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2024/06/PXD050276

PRIDE project URI

• PRIDE
  1. PXD050276
     1. Label: PRIDE project
     2. Name: Proteomic datasets for the identification of endometrial cancer in minimally invasive samples (cervico-vaginal fluid and blood plasma).