PXD060922 is an
original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Identification of astrocytomas through serum protein fingerprint using MALDI-TOF MS and machine learning |
| Description | This study aimed to explore the potential of serum proteomics as a non-invasive diagnostic tool using MALDI-TOF mass spectrometry (MS) combined with machine learning techniques. We analyzed serum samples from 269 patients, employing machine learning models to differentiate between healthy individuals and astrocytoma patients. The MALDI-TOF MS approach achieved a balanced accuracy of 94.5% in distinguishing GBM patients from healthy controls. However, it showed limited efficacy in classifying tumor grades or determining IDH1 mutational status. Further investigation using bottom-up proteomics by GeLC-MS/MS identified potential biomarkers, including proteins from the APO family and transthyretin, previously associated with high-grade gliomas. These findings highlight the promise of MALDI-TOF MS in identifying serum-based biomarkers for astrocytoma diagnosis. |
| HostingRepository | PRIDE |
| AnnounceDate | 2026-09-07 |
| AnnouncementXML | Submission_2026-09-06_16:10:48.870.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Lucas Cardoso Lazari |
| SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: NEWT:9606; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | autoflex |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
| 0 | 2025-02-18 10:15:37 | ID requested | |
| ⏵ 1 | 2026-09-06 16:10:49 | announced | |
Publication List
| 10.34133/csbj.0169; |
| Lazari LC, Azemi G, Russo C, Rosa-Fernandes L, Oba-Shinjo SM, Marie SKN, Di Ieva A, Palmisano G, Fractal and Machine Learning Analyses of MALDI-TOF Mass Spectrometry Data in Glioblastoma. Comput Struct Biotechnol J, 35(1):0169(2026) [pubmed] |
Keyword List
| submitter keyword: MALDI-TOF MS, Machine Learning, Glioblastoma |
Contact List
| Giuseppe Palmisano |
| contact affiliation | Glycoproteomics Laboratory, Institute of Biomedical Sciences, Parasitology Department, Universidade de Sâo Paulo |
| contact email | palmisano.gp@gmail.com |
| lab head | |
| Lucas Cardoso Lazari |
| contact affiliation | Universidade de São Paulo |
| contact email | lucaslazari02@gmail.com |
| 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/2026/09/PXD060922 |
| PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD060922
- Label: PRIDE project
- Name: Identification of astrocytomas through serum protein fingerprint using MALDI-TOF MS and machine learning