PXD045467

PXD045467 is an original dataset announced via ProteomeXchange.

Title	A DIA-MS-based proteomics approach to find potential serum prognostic biomarkers in glioblastoma patients
Description	No blood-based protein biomarkers are currently available for routine clinical use to determine the prognosis of patients with glioblastoma (GB). We performed data-independent acquisition mass spectrometry (DIA-MS)-based proteomics on 96 presurgical serum samples from patients with GB and 30 serum samples from healthy controls to identify such markers. Among the 622 serum proteins differentially expressed between the GB and control groups, 191 had a |log2(fold change)| ≥ 0.58 and an area under the curve ≥ 0.75. An analysis of their prognostic value revealed that high levels of IL1R2 and low levels of CRTAC1 and HRG were associated with poor survival. Multivariate Cox regression analysis identified IL1R2 as an independent prognostic factor for PFS and CRTAC1 as an independent prognostic factor for OS. The concentration of CRTAC1 in serum samples from an independent cohort of short- and long-term survivors of GB (STS and LTS, respectively) by ELISA was shown to be lower in the STS than in the LTS group. CRTAC1, HRG, and IL1R2 could potentially be used to better inform prognosis and predict treatment response in GB patients
HostingRepository	PRIDE
AnnounceDate	2025-09-15
AnnouncementXML	Submission_2025-09-15_01:23:12.553.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	François GUILLONNEAU
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	methylthiolated residue
Instrument	timsTOF Pro 2

Revision	Datetime	Status	ChangeLog Entry
0	2023-09-18 08:20:00	ID requested
⏵ 1	2025-09-15 01:23:13	announced

Clavreul A, Guillonneau F, Blanchet O, Lasla H, Rousseau A, Guette C, Boissard A, Henry C, Dhondt M, J, é, z, é, quel P, Menei P, Lem, é, e JM, A DIA-MS-based proteomics approach to find potential serum prognostic biomarkers in glioblastoma patients. Mol Oncol, 19(9):2686-2699(2025) [pubmed]

10.1002/1878-0261.70068;

submitter keyword: DIA-MS,Glioblastoma, Sera, Tumor

Clavreul Anne
contact affiliation	CHU Angers, Angers, France Inserm UMR 1307, CNRS UMR 6075, Université de Nantes, CRCI2NA, Université d'Angers, Angers, France
contact email	anne.clavreul@univ-angers.fr
lab head
François GUILLONNEAU
contact affiliation	ICO Angers
contact email	francois.guillonneau@parisdescartes.fr
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/2025/09/PXD045467

PRIDE project URI

• PRIDE
  1. PXD045467
     1. Label: PRIDE project
     2. Name: A DIA-MS-based proteomics approach to find potential serum prognostic biomarkers in glioblastoma patients