Evidence map›Paper›PMID 37591946›Full record

ArticleCommunications biology2023

Transcriptional profiling of canine osteosarcoma identifies prognostic gene expression signatures with translational value for humans.

Joshua D Mannheimer, Gregory Tawa, David Gerhold, John Braisted, Carly M Sayers, Troy A McEachron, Paul Meltzer, Christina Mazcko, Jessica A Beck, Amy K LeBlanc

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
9.0field-weighted citation impact, top 2% of its field
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

34 citing papers in PubMed, 35 citations in OpenAlex.

  1. Trial
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  3. Integrated Multiomic Profiling Enhances Risk Stratification and Prognostication in Canine Osteosarcoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  15. Spatial Transcriptomics Advances the Use of Canine Patients in Cancer Research: Analysis of Osteosarcoma-Bearing Pet Dogs Enrolled in a Clinical Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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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

10 authors at 1 institution in 1 country.

Joshua D MannheimerComparative Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0009-0006-0527-1805
Gregory TawaDivision of Preclinical Innovation, Therapeutic Development Branch, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA.
David GerholdDivision of Preclinical Innovation, Therapeutic Development Branch, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA.
John BraistedDivision of Preclinical Innovation, Therapeutic Development Branch, National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, USA.
Carly M SayersPediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-8554-0281
Troy A McEachronPediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Paul MeltzerGenetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0003-0963-1768
Christina MazckoComparative Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Jessica A BeckComparative Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-0145-7606
Amy K LeBlancComparative Oncology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. Amy.leblanc@nih.gov.ORCID http://orcid.org/0000-0001-7656-9859
National Institutes of Health · US

Funding

Identification of immune evasion mechanisms in the osteosarcoma microenvironmentZIABC012056 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MCEACHRON, TROY · 2021 to 2025
$6.4M
DNA TOPOISOMERASES AS TARGET OF ACTION OF ANTICANCER DRUGSZ01BC006161 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI POMMIER, YVES · 1996 to 2008
$1.5M
Intramural NIH HHS Z01 BC006161
6 · The paper itself

Abstract

Canine osteosarcoma is increasingly recognized as an informative model for human osteosarcoma. Here we show in one of the largest clinically annotated canine osteosarcoma transcriptional datasets that two previously reported, as well as de novo gene signatures devised through single sample Gene Set Enrichment Analysis (ssGSEA), have prognostic utility in both human and canine patients. Shared molecular pathway alterations are seen in immune cell signaling and activation including TH1 and TH2 signaling, interferon signaling, and inflammatory responses. Virtual cell sorting to estimate immune cell populations within canine and human tumors showed similar trends, predominantly for macrophages and CD8+ T cells. Immunohistochemical staining verified the increased presence of immune cells in tumors exhibiting immune gene enrichment. Collectively these findings further validate naturally occurring osteosarcoma of the pet dog as a translationally relevant patient model for humans and improve our understanding of the immunologic and genomic landscape of the disease in both species.

Indexed as

Bone NeoplasmsOsteosarcomaAnimalsDogsGenomicsHumansPrognosisTranscriptome

Identifiers

PMID37591946
PMCPMC10435536
OpenAlexW4385948493

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.