Projects per year
Abstract / Description of output
Mucosal melanoma is a rare melanoma subtype associated with a poor prognosis and limited existing therapeutic interventions, in part due to a lack of actionable targets and translational animal models for preclinical trials. Comprehensive data on this tumour type are scarce, and existing data often overlooks the importance of the anatomical site of origin. We evaluated human and canine oronasal mucosal melanoma (OMM) to determine whether the common canine disease could inform the rare human equivalent. Using a human and canine primary OMM cohort of treatment-naive archival tissue, alongside clinicopathological data, we obtained transcriptomic, immunohistochemical, and microbiome data from both species. We defined the transcriptomic landscape in both species and linked our findings to immunohistochemical, microbiome, and clinical data. Human and dog OMM stratified into two distinctive transcriptional groups, which we defined using a species-independent 41-gene signature. These two subgroups are termed CTLA4-high and MET-high and indicate actionable targets for OMM patients. To guide clinical decision-making, we developed immunohistochemical diagnostic tools that distinguish between transcriptomic subgroups. We found that OMM had conserved transcriptomic subtypes and biological similarity between human and canine OMM, with significant implications for patient classification, treatment, and clinical trial design.
Original language | English |
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Pages (from-to) | 1-15 |
Number of pages | 15 |
Journal | Journal of Pathology |
Early online date | 19 Jan 2025 |
DOIs | |
Publication status | E-pub ahead of print - 19 Jan 2025 |
Keywords / Materials (for Non-textual outputs)
- CTLA4
- MET
- canine
- human
- immunity
- macrophages
- microbiome
- mucosal melanoma
- oronasal
- transcriptome
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Cellular barcoding to define melanoma drug resistance and cell of origin
1/09/22 → 31/08/25
Project: Research
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Targeting persister cell states that drive drug resistance and metastasis
1/10/20 → 30/09/23
Project: Research