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PXD066573
PXD066573 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Machine Learning-Driven Extracellular Vesicles Peptidomics Powers Precision Classification of Endometrial Cancer Molecular Subtypes |
| Description | Endometrial cancer (EC) molecular subtyping is critical for prognosis and treatment but remains hindered by the reliance on invasive tissue biopsies and time-consuming genomic sequencing. Here, we present a minimally invasive approach integrating MALDI-TOF mass spectrometry and LC-MS/MS-based peptidomic profiling of plasma extracellular vesicles (EVs) with machine learning for rapid EC screening and subtyping. EVs were isolated from EC patients and controls, and their peptidome fingerprints were analyzed. A machine learning model utilizing 12 discriminative features achieved 100% accuracy and an AUC of 1.0 in distinguishing EC from controls. For molecular subtyping (POLE-mutant, NSMP, MMRd, P53-abnormal), a multiclassification model demonstrated 80% accuracy with micro-/macro-averaged AUCs of 0.93/0.95. LC-MS/MS identified 7,479 peptides, with fibrinogen α chain (FGA), protease serine 3 (PRSS3), and apolipoprotein AI (APOA1) emerging as key biomarkers linked to specific subtypes. This study establishes a high-throughput, cost-effective platform for EC management, bridging translational gaps in precision oncology. |
| HostingRepository | iProX |
| AnnounceDate | 2025-07-24 |
| AnnouncementXML | Submission_2025-12-10_19:38:14.111.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | YunhanYang |
| SpeciesList | scientific name: Homo sapiens; NCBI TaxID: 9606; |
| ModificationList | No PTMs are included in the dataset |
| Instrument | timsTOF Pro |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
|---|---|---|---|
| 0 | 2025-07-24 21:48:04 | ID requested | |
| ⏵ 1 | 2025-12-10 19:38:14 | announced |
Publication List
| Dataset with its publication pending |
Keyword List
| submitter keyword: extracellular vesicles, endometrial cancer, molecular subtyping, peptidomics, machine learning |
Contact List
| Xiaojun Chen | |
|---|---|
| contact affiliation | Obstetrics and Gynecology Hospital of Fudan University |
| contact email | cxjlhjj@163.com |
| lab head | |
| YunhanYang | |
| contact affiliation | Fudan University |
| contact email | 23210220050@m.fudan.edu.cn |
| dataset submitter | |
Full Dataset Link List
| iProX dataset URI |
