PXD041268 is an
original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Proteomic Analysis of the Urothelial Cancer Landscape |
| Description | Urothelial cancer is a challenging disease with a wide tumor-biological spectrum. Most molecular classification attempts are transcriptome-based and relate only indirectly to the therapeutically relevant protein level. We improve preanalytical preparation of clinical samples for proteome analyses and characterize a comprehensive cohort of 434 samples with 242 tumors and 192 paired normal mucosae. We evaluate sample-wise tumor specificity and rank biomarkers by target relevance. We identify five tumor clusters that add prognostic information independent from histopathological groups. In silico drug prediction suggests efficacy of several compounds hitherto not in clinical use. Both, in silico as well as in vitro data, indicate predictive value of the proteomic clusters for these drugs. Comparative validation on external transcriptomic data confirms prognostic relevance and contextualizes proteomic and transcriptomic classifications. A real-world diagnostic approach based on immunohistochemistry further validates our proteomic data but underlines the necessity of omics scale molecular analyses for personalized oncology. |
| HostingRepository | PRIDE |
| AnnounceDate | 2024-06-16 |
| AnnouncementXML | Submission_2024-06-16_02:32:14.520.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Akos Vegvari |
| SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
| ModificationList | iodoacetamide derivatized residue |
| Instrument | LTQ FT |
Dataset History
| Revision | Datetime | Status | ChangeLog Entry |
| 0 | 2023-04-01 12:15:12 | ID requested | |
| ⏵ 1 | 2024-06-16 02:32:15 | announced | |
Publication List
Keyword List
| submitter keyword: Urothelial cancer |
| Bladder cancer |
| Molecular classification |
| Pathology |
| Urological oncology |
| Urology |
| Oncology |
| Drug prediction |
| Proteomics |
| Protein extraction |
| Clinical proteomics |
| Risk stratification |
| Molecular oncology |
| Diagnostics |
| Personalized medicine |
| Personalized oncology |
| Translational pathology |
| Predictive testing |
Contact List
| Akos Vegvari |
| contact affiliation | Karolinska Institutet, Stockholm, Sweden |
| contact email | akos.vegvari@ki.se |
| lab head | |
| Akos Vegvari |
| contact affiliation | Karolinska Institutet |
| contact email | akos.vegvari@ki.se |
| 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/2024/06/PXD041268 |
| PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD041268
- Label: PRIDE project
- Name: Proteomic Analysis of the Urothelial Cancer Landscape