The K9 lymphoma assay allows a genetic subgrouping of canine lymphomas with improved risk classification

The K9 lymphoma assay allows a genetic subgrouping of canine lymphomas with improved risk classification | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article The K9 lymphoma assay allows a genetic subgrouping of canine lymphomas with improved risk classification Luca Aresu, Antonella Fanelli, Luca Licenziato, Eugenio Mazzone, and 6 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3955938/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract We developed a targeted next-generation sequencing approach designed for the genomic classification of canine lymphoma. Positioned within the evolving landscape of comparative and veterinary oncology, this study underscores the clinical significance of tailored genetic profiling for this tumor in dogs, marking a crucial step in diagnostic high-throughput genetic analysis. Leveraging a previous dataset, the “K9 lymphoma assay” demonstrated robust comparability and reproducibility in canine diffuse large B-cell lymphoma (DLBCL), when matched with previously tumors examined through whole-exome sequencing. Expanding our investigation to encompass several B- and T-cell lymphoma histotypes, we unveiled distinct mutational landscapes distinguishing nodal lymphomas derived from immature lymphocytes and nodal lymphomas originating from mature lymphocytes. TRAF3 was the most frequently altered gene in B-cell lymphomas, exhibiting unique mutational patterns. Key genetic events, such as TP53 and SETD2 mutations, clinically demonstrated universal implications across B-cell lymphomas, positioning them as potential prognostic and therapeutic indicators. These findings advocate for a tailored therapeutic approach directly impacting treatment decisions and outcomes in managing canine lymphomas. Our study provides the largest and most comprehensive genomic characterization of clinically staged canine lymphomas to date, and it provides pivotal insights for future research and therapeutic strategies in comparative oncology. Biological sciences/Cancer/Haematological cancer/Lymphoma Biological sciences/Genetics/Cancer genomics Full Text Additional Declarations There is NO Competing Interest. Supplementary Files SupplementaryData1.xlsx Dataset 1 SupplementaryData2.xlsx Dataset 2 SupplementaryData3.xlsx Dataset 3 SupplementaryData4.xlsx Dataset 4 SupplementaryData5.xlsx Dataset 5 SupplementaryData6.xlsx Dataset 6 SupplementaryData7.xlsx Dataset 7 SupplementaryData8.xlsx Dataset 8 SupplementaryData9.xlsx Dataset 9 SupplementaryData10.xlsx Dataset 10 SupplementaryInformation.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3955938","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":273032266,"identity":"929b4c62-c43c-4158-9fe1-52ee19bd793c","order_by":0,"name":"Luca 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