Evidence map›Paper›PMID 42056464›Full record

ArticleCommunications biology2026

Spatial transcriptomic mapping of canine osteosarcoma reveals immune microenvironment features linked to survival.

Rebecca Nance-Richey, Leah Ackerman, Dylan Ammons, Ann M Chan, Valentina Stevenson, Gabriela Hery, Ian Hawkins, Ana Herrera, Alberto Riva, Yanping Zhang and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Rebecca Nance-Richey *Department of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0002-3269-6802
Leah Ackerman *Department of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.
Dylan AmmonsDepartment of Microbiology, Immunology, and Pathology, College of Veterinary Medicine & Biomedical Sciences, Colorado State University, Fort Collins, CO, USA.
Ann M ChanDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.
Valentina StevensonDepartment of Comparative, Diagnostic, & Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.
Gabriela HeryDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.
Ian HawkinsDepartment of Comparative, Diagnostic, & Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.
Ana HerreraDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.
Alberto RivaInterdisciplinary Center of Biotechnology Research, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0001-9150-8333
Yanping ZhangInterdisciplinary Center of Biotechnology Research, University of Florida, Gainesville, FL, USA.
Josephine Brown10x Genomics, Pleasanton, CA, USA.
Steven W DowDepartment of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA.ORCID http://orcid.org/0000-0001-5488-9464
Elizabeth A MaxwellDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0002-8201-040X
Judit BertranDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.
Josep AisaDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0003-3880-4875
Marilia TakadaDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.
Michael DarkDepartment of Comparative, Diagnostic, & Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.
Paulo Vilar SaavedraDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA.
Rowan J MilnerDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, USA. milnerr@ufl.edu.ORCID http://orcid.org/0000-0001-6379-2058

Funding

Division of Cancer Prevention, National Cancer Institute (NCI Division of Cancer Prevention) 13081Pediatric Cancer Research Foundation (PCRF) 14259
6 · The paper itself

Abstract

Osteosarcoma (OSA) is the most common malignant bone tumor in dogs and serves as a translational model for human pediatric OSA due to shared molecular features. This aggressive and metastatic cancer exhibits significant heterogeneity, which has limited therapeutic advances. Spatial transcriptomics offers a powerful method to investigate intratumoral complexity and the tumor microenvironment. In this study, we used the 10x Genomics Visium platform to profile spatial gene expression in 14 fresh-frozen canine OSA (cOSA) tumor samples from 11 dogs, including primary, metastatic, and recurrent tumors. Samples were stratified by survival outcomes (short-, median-, and long-term). Spatially variable genes and conserved transcriptional clusters were identified, and integration with published single-cell cOSA data enabled deconvolution of cell type proportions and spatial co-localization. Analysis of 18,834 tissue spots revealed intra-tumoral subpopulations and spatial clustering patterns. Pathways related to immune clearance were spatially enriched in long-term survivors. Deconvolution uncovered co-localization of immune cells such as mast cells with osteoclasts, and T/NK cells with regulatory dendritic cells. This study maps the spatial transcriptomic landscape of cOSA, highlighting immune microenvironment features and spatial gene expression patterns associated with survival. These findings provide insights into OSA biology and may guide future therapeutic strategies in both canine and human patients.

Indexed as

Bone NeoplasmsDog DiseasesOsteosarcomaTranscriptomeTumor MicroenvironmentAnimalsDogsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticSpatial Transcriptomics

Identifiers

PMID42056464
PMCPMC13421649

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.