PXD063211
PXD063211 is an original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Endometrial cancer risk stratification |
| Description | Endometrial cancer (ENDOM) prevention remains challenging, creating an urgent need for better risk stratification tools. We developed a prompt-based bimodal multilevel endometrial cancer (2M-EC) predictive platform that integrates clinically accessible data with multi-biofluid molecular profiles through MALDI-TOF MS analysis. Our study established the MBF-ED cohort (n=531), collecting comprehensive clinical data and multi-dimensional body fluid samples. We processed these using a unique analytical pipeline: (1) simplifying clinical variables through empirical and data-driven methods, (2) extracting ENDOM-specific MS features using machine learning, and (3) developing an innovative bimodal AI architecture that fuses 2D MS omics matrices with 1D clinical vectors. The resulting prompt-based 2M-EC predictive platform provides real-time, interpretable risk stratification through an online interface. The advantages of it include overcoming single-marker limitations via multimodal integration, combining molecular depth with clinical practicality and scalable design adaptable to both resource-limited and advanced healthcare settings. This work demonstrates how AI can bridge cutting-edge molecular profiling with routine clinical practice, offering a new paradigm for task-oriented cancer risk assessment. |
| HostingRepository | iProX |
| AnnounceDate | 2025-04-22 |
| AnnouncementXML | Submission_2025-04-22_21:25:26.640.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Dandan Li |
| 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 | 2025-04-22 21:19:08 | ID requested | |
| ⏵ 1 | 2025-04-22 21:25:27 | announced |
Publication List
| Dataset with its publication pending |
Keyword List
| submitter keyword: Endometrial cancer, protein, prediction |
Contact List
| Liang Qiao | |
|---|---|
| contact affiliation | Fudan University |
| contact email | liang_qiao@fudan.edu.cn |
| lab head | |
| Dandan Li | |
| contact affiliation | Fudan University |
| contact email | oceanddl@sina.com |
| dataset submitter | |
Full Dataset Link List
| iProX dataset URI |
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