| Title: |
Multimodal AI and tumour microenvironment integration predicts metastasis in cutaneous melanoma |
| Authors: |
Andrew TW; Combalia M; Hernandez C; Grant S; Paragh G; Puig S; Mc Arthur G; Richardson G; Sloan P; Shalhout SZ; Plummer R; Lovat PE |
| Source: |
Nature Communications, December 2025 |
| Publisher Information: |
Nature Research |
| Publication Year: |
2025 |
| Collection: |
Newcastle University Library ePrints Service |
| Description: |
© The Author(s) 2025.Accurate prognostication is essential to guide clinical management in localised cutaneous melanoma (CM), the form of skin cancer with the highest mortality. While the tumour microenvironment (TME) plays a key role in disease progression, current staging systems rely on limited tumour features and exclude key clinicopathological prognostic features. Here we show that MelanoMAP, a multimodal AI model integrating TME-derived digital biomarkers and clinicopathological features from over 3,500 histology slides, improves prognostication of localised CM. MelanoMAP achieved a C-index of 0.82, a 24% improvement over traditional AJCC staging (0.66) and consistently outperformed clinicopathological-only models across six international patient cohorts. SHAP analysis identified TME-derived digital biomarkers, alongside traditional clinicopathological factors including age, mitotic count, and Breslow depth, were critical determinants of metastatic risk. MelanoMAP establishes a potential foundation for precision oncology in CM, demonstrating how AI-driven digital biomarkers can advance personalised prognostication and inform clinical-decision making. |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
unknown |
| Relation: |
https://eprints.ncl.ac.uk/309045; https://eprints.ncl.ac.uk/fulltext.aspx?url=309045/97277E17-1E16-4B31-9401-CA435B56DF20.pdf&pub_id=309045 |
| Availability: |
https://eprints.ncl.ac.uk/309045 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.FB2843C1 |
| Database: |
BASE |