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Canine tumor cross-species genomics uncovers targets linked to osteosarcoma progression
Open accessAbstract
BACKGROUND: Pulmonary metastasis continues to be the most common cause of death in osteosarcoma. Indeed, the 5-year survival for newly diagnosed osteosarcoma patients has not significantly changed in over 20 years. Further understanding of the mechanisms of metastasis and resistance for this aggressive pediatric cancer is necessary. Pet dogs naturally develop osteosarcoma providing a novel opportunity to model metastasis development and progression. Given the accelerated biology of canine osteosarcoma, we hypothesized that a direct comparison of canine and pediatric osteosarcoma expression profiles may help identify novel metastasis-associated tumor targets that have been missed through the study of the human cancer alone. RESULTS: Using parallel oligonucleotide array platforms, shared orthologues between species were identified and normalized. The osteosarcoma expression signatures could not distinguish the canine and human diseases by hierarchical clustering. Cross-species target mining identified two genes, interleukin-8 (IL-8) and solute carrier family 1 (glial high affinity glutamate transporter), member 3 (SLC1A3), which were uniformly expressed in dog but not in all pediatric osteosarcoma patient samples. Expression of these genes in an independent population of pediatric osteosarcoma patients was associated with poor outcome (p = 0.020 and p = 0.026, respectively). Validation of IL-8 and SLC1A3 protein expression in pediatric osteosarcoma tissues further supported the potential value of these novel targets. Ongoing evaluation will validate the biological significance of these targets and their associated pathways. CONCLUSIONS: Collectively, these data support the strong similarities between human and canine osteosarcoma and underline the opportunities provided by a comparative oncology approach as a means to improve our understanding of cancer biology and therapies.
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Metadata
- Authors
- Paoloni, M., Davis, S., Lana, S., Withrow, S., Sangiorgi, L., Picci, P., Hewitt, S., Triche, T., Meltzer, P., & Khanna, C.
- Affiliations
- National Institutes of Health (US)
- Colorado State University (US)
- Istituto Ortopedico Rizzoli (IT)
- University of Southern California (US)
- Corresponding author
- Paoloni, Melissa
- Venue
- BMC Genomics
- Published
- 2009
- Volume
- 10
- Issue
- 1
- Pages
- 625
- ISSN
- 1471-2164 (ISSN-L)
- PMC
- PMC2803201
- OpenAlex
- W2116599555
- Cited by
- 291
- References
- 52
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 13 · 2023: 24 · 2022: 15 · 2021: 22 · 2020: 32 · 2019: 16 · 2018: 17 · 2017: 11 · 2016: 18 · 2015: 18 · 2014: 17 · 2013: 13 · 2012: 19
- FWCI
- 13.23
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMC Genomics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Colorado State University
- National Human Genome Research Institute
- National Cancer Institute
- Topics
- Health Sciences › Veterinary › Small Animals › Veterinary Oncology Research
- Health Sciences › Medicine › Oncology › Sarcoma Diagnosis and Treatment
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Human-Animal Interaction Studies
- Keywords
- canine osteosarcoma, pediatric osteosarcoma, lung metastasis, comparative oncology, cross-species gene expression, interleukin-8, GLAST, prognostic factors, orthologs
- MeSH terms
- Animals, Child, Dogs, Humans, RNA, Neoplasm, Osteosarcoma, Cluster Analysis, Interleukin-8, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, Genomics, Excitatory Amino Acid Transporter 1, Cell Line, Tumor, Comparative Genomic Hybridization
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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