PXD034636

PXD034636 is an original dataset announced via ProteomeXchange.

Title	Proteomic analysis of blood biomarkers predicting prognosis of high-grade serous ovarian carcinoma
Description	Ovarian cancer is one of the most lethal female cancer and tends to be diagnosed at an advanced stage, resulting high recurrence and mortality rates despite the treatment. Accurate prediction of prognosis is necessary to facilitate molecular profiling-based treatment. We investigated novel, blood-based prognostic biomarkers for high-grade serous ovarian carcinoma (HGSOC) using mass spectrometry-based proteomics methods.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_08:39:52.659.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Dohyun Han
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	monohydroxylated residue; iodoacetamide derivatized residue
Instrument	Q Exactive HF-X

Revision	Datetime	Status	ChangeLog Entry
0	2022-06-19 04:33:55	ID requested
1	2023-03-11 01:25:17	announced
⏵ 2	2023-11-14 08:39:54	announced	2023-11-14: Updated project metadata.

Kim SI, Hwangbo S, Dan K, Kim HS, Chung HH, Kim JW, Park NH, Song YS, Han D, Lee M, Proteomic Discovery of Plasma Protein Biomarkers and Development of Models Predicting Prognosis of High-Grade Serous Ovarian Carcinoma. Mol Cell Proteomics, 22(3):100502(2023) [pubmed]

submitter keyword: Human, BoxCar, Plasma, biomarker

Dohyun Han
contact affiliation	Proteomics core facility, Biomedical Research Institute, Seoul National University Hospital
contact email	hdh03@snu.ac.kr
lab head
Dohyun Han
contact affiliation	Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital
contact email	hdh03@snu.ac.kr
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/2023/03/PXD034636

PRIDE project URI

• PRIDE
  1. PXD034636
     1. Label: PRIDE project
     2. Name: Proteomic analysis of blood biomarkers predicting prognosis of high-grade serous ovarian carcinoma