Large-Scale Comparative Analysis of Canine and Human Osteosarcomas Uncovers Conserved Clinically Relevant Tumor Microenvironment Subtypes
These findings demonstrate the potential of leveraging data from naturally occurring cancers in canines to model the complexity of the human osteosarcoma TME, offering a promising avenue for the discovery of novel biomarkers and developing more effective precision oncology treatments.
Authors
- Amy K. LeBlanc (ORCID: https://orcid.org/0000-0001-7656-9859)
- Jessica A. Beck (ORCID: https://orcid.org/0000-0002-0145-7606)
- Barış Türkbey (ORCID: https://orcid.org/0000-0003-0853-6494)
- Christina J. Ramirez
- Christina Mazcko
- Stephanie A. Harmon (ORCID: https://orcid.org/0000-0002-2507-2399)
- G. Thomas Brown (ORCID: https://orcid.org/0000-0001-7383-3116)
- Sushant Patkar (ORCID: https://orcid.org/0000-0002-5877-0599)
- Peter L. Choyke (ORCID: https://orcid.org/0000-0003-1086-8826)
- Joshua Mannheimer (ORCID: https://orcid.org/0009-0006-0527-1805)
Institutions
- Leidos (United States) (US)
- National Institutes of Health (US)
- Pfizer (United States) (US)
- Andover Eye Associates (US)
- Frederick National Laboratory for Cancer Research (US)
- National Cancer Institute (US)
- Leidos Biomedical Research Inc. (United States)
Publication Details
- Journal
- Clinical Cancer Research
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1158/1078-0432.ccr-24-1854
- Citations
- 17
- Primary Topic
- Veterinary Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 7.12
Funders
- National Institutes of Health