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AbdulJabbar K, Castillo SP, Hughes K, Davidson H, Boddy AM, Abegglen LM, Minoli L, Iussich S, Murchison EP, Graham TA, Spiro S, Maley CC, Aresu L, Palmieri C, Yuan Y. Bridging clinic and wildlife care with AI-powered pan-species computational pathology. Nat Commun 2023; 14:2408. [PMID: 37100774 PMCID: PMC10133243 DOI: 10.1038/s41467-023-37879-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 04/04/2023] [Indexed: 04/28/2023] Open
Abstract
Cancers occur across species. Understanding what is consistent and varies across species can provide new insights into cancer initiation and evolution, with significant implications for animal welfare and wildlife conservation. We build a pan-species cancer digital pathology atlas (panspecies.ai) and conduct a pan-species study of computational comparative pathology using a supervised convolutional neural network algorithm trained on human samples. The artificial intelligence algorithm achieves high accuracy in measuring immune response through single-cell classification for two transmissible cancers (canine transmissible venereal tumour, 0.94; Tasmanian devil facial tumour disease, 0.88). In 18 other vertebrate species (mammalia = 11, reptilia = 4, aves = 2, and amphibia = 1), accuracy (range 0.57-0.94) is influenced by cell morphological similarity preserved across different taxonomic groups, tumour sites, and variations in the immune compartment. Furthermore, a spatial immune score based on artificial intelligence and spatial statistics is associated with prognosis in canine melanoma and prostate tumours. A metric, named morphospace overlap, is developed to guide veterinary pathologists towards rational deployment of this technology on new samples. This study provides the foundation and guidelines for transferring artificial intelligence technologies to veterinary pathology based on understanding of morphological conservation, which could vastly accelerate developments in veterinary medicine and comparative oncology.
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Affiliation(s)
- Khalid AbdulJabbar
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Simon P Castillo
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Katherine Hughes
- Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, UK
| | - Hannah Davidson
- Zoological Society of London, London, UK
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Sq, London, UK
| | - Amy M Boddy
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, CA, USA
| | - Lisa M Abegglen
- Department of Pediatrics and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- PEEL Therapeutics, Inc., Salt Lake City, UT, USA
| | - Lucia Minoli
- Department of Veterinary Sciences, University of Turin, 10095, Grugliasco, Italy
| | - Selina Iussich
- Department of Veterinary Sciences, University of Turin, 10095, Grugliasco, Italy
| | - Elizabeth P Murchison
- Department of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge, UK
| | - Trevor A Graham
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Sq, London, UK
| | | | - Carlo C Maley
- Arizona Cancer Evolution Center, Biodesign Institute and School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Luca Aresu
- Department of Veterinary Sciences, University of Turin, 10095, Grugliasco, Italy
| | - Chiara Palmieri
- School of Veterinary Science, The University of Queensland, 4343, Gatton, QLD, Australia
| | - Yinyin Yuan
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK.
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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