PXD069126 is an
original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Data-independent acquisition (DIA)-based proteomics for the identification of biomarkers in tissue washings of endometrial cancer |
| Description | : Endometrial cancers (ECs), which are mainly adenocarcinomas arising from the uterine endometrium. In this work, we employed data-independent acquisition (DIA) mass spectrometry (MS)-based label-free quantification (LFQ-MS) proteomics to analyze the proteome of tissue washings collected from 25 control subjects (CTRL), 25 patients with low-grade type 1 endometrial cancer (EC), and 24 patients with high-grade type 1 EC. Following quantification and statistical analysis, we identified 42 proteins able to discriminate CTRL from EC patients, and 151 proteins differentiating high-grade EC cases from low-grade EC cases. Notably, PRRC2A and SYDE2 effectively distinguished both EC patients from controls and advanced EC cases from low-grade EC cases. Validation by Western blot analysis in an independent cohort comprising 19 CTRL, 19 patients with low-grade EC, and 19 patients with high-grade EC confirmed the upregulation of PRRC2A and SYDE2. These proteins are implicated in the translocation of SLC2A4, regulation of MECP2, and extracellular matrix (ECM) proteoglycan pathways, all of which are associated with tumor growth. Our results demonstrate that DIA-based proteomic analysis of tissue washings enables the identification of potential biomarkers for endometrial cancer (EC). Moreover, this study highlights tissue washings as a promising biological fluid for biomarker discovery in EC. |
| HostingRepository | PRIDE |
| AnnounceDate | 2025-12-22 |
| AnnouncementXML | Submission_2025-12-21_16:24:16.197.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Michelangelo Aloisio |
| SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: NEWT:9606; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | Orbitrap Fusion Lumos |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|
| 0 | 2025-10-03 15:36:39 | ID requested | |
| ⏵ 1 | 2025-12-21 16:24:17 | announced | |
Publication List
| Monasta L, Capaci V, Kharrat F, Ciampechini M, Balasan N, Conti A, Golino V, Campiglia P, Aloisio M, Licastro D, Di Lorenzo G, Romano F, Ricci G, Ura B, Data-Independent Acquisition (DIA)-Based Proteomics for the Identification of Biomarkers in Tissue Washings of Endometrial Cancer. Int J Mol Sci, 26(23):(2025) [pubmed] |
| 10.3390/ijms262311498; |
Keyword List
| submitter keyword: endometrial cancer |
| proteomics |
| mass spectrometry |
| tissue washings |
| biomarker |
Contact List
| Blendi Ura |
|---|
| contact affiliation | IRCCS Burlo Garofolo Trieste 34100 |
| contact email | blendi.ura@burlo.trieste.it |
| lab head | |
| Michelangelo Aloisio |
|---|
| contact affiliation | National Institute of Gastroenterology S. De Bellis, IRCCS Research Hospital, |
| contact email | michelangelo.aloisio@irccsdebellis.it |
| dataset submitter | |
Full Dataset Link List
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/2025/12/PXD069126 |
| PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD069126
- Label: PRIDE project
- Name: Data-independent acquisition (DIA)-based proteomics for the identification of biomarkers in tissue washings of endometrial cancer
