Evidence map›Paper›PMID 41872330›Full record

ArticleCommunications biology2026

Comprehensive analysis of non-tumor lung, liver, and kidney transcriptomes in canine metastatic osteosarcoma.

Jessica A Beck, Anjali Garg, Peter L Choyke, Christina Mazcko, Amy K LeBlanc

Abstract read
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

5 authors.

Jessica A BeckDepartment of Veterinary Biosciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH, USA. Beck.1035@osu.edu.ORCID http://orcid.org/0000-0002-0145-7606
Anjali GargComparative Oncology Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-9981-3607
Peter L ChoykeMolecular Imaging Branch, National Cancer Institute, NIH, Bethesda, MD, USA.
Christina MazckoComparative Oncology Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Amy K LeBlancComparative Oncology Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-7656-9859

Funding

U.S. Department of Health & Human Services | National Institutes of Health (NIH) Z01-BC006161
6 · The paper itself

Abstract

The non-tumor tissue adjacent to metastases can appear morphologically unremarkable under a microscope; however, it is exposed to a milieu of secretory factors and proteins derived from tumor cells, stromal cells, and immune cells within the surrounding tumor microenvironment. Studies investigating the peritumoral tissue (PTT) or so-called Normal tissue Adjacent to Tumor tissue (NAT) have identified distinct differences between the genomic and transcriptomic profiles of healthy and tumor-adjacent non-tumor tissues. These alterations are hypothesized to have significant implications in local tumor progression, metastasis, and patient outcome. Most NAT/PTT studies focus on the primary tumor microenvironment (TME) with comparisons between patients with and without cancer. The study described herein expands upon this work by investigating the metastatic TME with comparisons between met-recipient and met-free tissues, both derived from a canine osteosarcoma clinical trial. Our study identifies shared and tissue-specific changes in met-recipient non-tumor lung, liver, and kidney which overlap with transcriptional alterations described in human cancers. These findings improve our understanding of the landscape of the peritumoral TME of metastatic osteosarcoma and further underscore the translational relevance of the canine patient as a model of human disease.

Indexed as

Bone NeoplasmsDog DiseasesKidneyLiverLungOsteosarcomaTranscriptomeAnimalsDogsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticNeoplasm MetastasisTumor Microenvironment

Identifiers

PMID41872330
PMCPMC13230841

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Registered trials

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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.