PXD065812 is an
original dataset announced via ProteomeXchange.
Dataset Summary
| Title | Proteomic Profiling of Colorectal Liver Metastases Reveals Histopathological Response-Specific Molecular Signatures of Chemotherapy Efficacy |
| Description | Background: Chemoresistance in treatment of colorectal liver metastases (CRLM) poses a serious challenge in preventing disease relapse, with up to 80% of patients developing drug resistance over the course of treatment. Proteomic signatures of responsive vs. non-responsive metastases can provide insights into functional expression patterns, potentially identifying biomarkers for therapy efficacy. Methods: A total of 33 CRLM tissue samples from 31 patients were subjected to histopathological and proteomic analysis. The patients were included in the study after undergoing preoperative treatment (n = 28), including platinum-based chemotherapy (n = 19), non-platinum-based chemotherapy (n = 8), as well as targeted therapies (n = 20), or without preoperative therapy (n = 5). Based on Rubbia-Brandt criteria and vital tumor cell percentage, CRLM were categorized to major (MR), partial (PR) and no response (NR) groups. Proteomic analysis was conducted using label-free mass spectrometry (LFQ-MS), followed by clustering according to histological response and distinct treatment regimens. Results: Proteomic analysis revealed significant differential protein expression of 607 proteins linked to distinct histopathological response types. CRLM responsive to chemotherapy displayed marked enrichment (p ≤ 0.01) in pathways associated with immune infiltration, complement system, ECM matrix organization and apolipoprotein-associated processes, indicative of distinct stromal and immune invasion patterns with multimodal importance of cell adhesion proteins. In contrast, attenuated expression of proteins enriched in pathways of mitochondrial translation initiation, elongation and termination was detectable. Conclusion: CRLM exhibited distinct proteomic phenotypes based on their histopathological response to preoperative systemic therapy largely independent of chemotherapy regimens. This proteomic profiling establishes a foundation for identifying critical profiles and enhancing our understanding of mechanisms driving tumor response. |
| HostingRepository | PRIDE |
| AnnounceDate | 2026-04-13 |
| AnnouncementXML | Submission_2026-04-12_20:02:11.521.xml |
| DigitalObjectIdentifier | |
| ReviewLevel | Peer-reviewed dataset |
| DatasetOrigin | Original dataset |
| RepositorySupport | Unsupported dataset by repository |
| PrimarySubmitter | Karl Hillebrandt |
| 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 | 2025-07-06 08:00:37 | ID requested | |
| ⏵ 1 | 2026-04-12 20:02:12 | announced | |
Publication List
| B, ö, hm AK, Skrip LM, Klein O, Strobl F, Wieland JK, Arnold A, Zhou Y, Papke B, Sers C, Modest DP, Moosburner S, Haber PK, Krenzien F, Raschzok N, Sch, ö, ning W, Horst D, Malinka T, Sack I, Pratschke J, Sauer IM, Hillebrandt KH, Proteomic profiling of colorectal liver metastases reveals histopathological response-specific molecular signatures of chemotherapy efficacy. J Transl Med, 24(1):(2026) [pubmed] |
| 10.1186/s12967-026-07945-1; |
Keyword List
| submitter keyword: Human |
| CRLM |
| CRC |
Contact List
| Karl Hillebrandt |
|---|
| contact affiliation | Charité Univeristätsmedizin Berlin, Department of Surgery, Augustenburger Platz 1, 13353 Berlin |
| contact email | karl-herbert.hillebrandt@charite.de |
| lab head | |
| Karl Hillebrandt |
|---|
| contact affiliation | Department of Surgery |
| contact email | karl-herbert.hillebrandt@charite.de |
| dataset submitter | |
Full Dataset Link List
Dataset FTP location
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| PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD065812
- Label: PRIDE project
- Name: Proteomic Profiling of Colorectal Liver Metastases Reveals Histopathological Response-Specific Molecular Signatures of Chemotherapy Efficacy
