Comparative multi-omics evaluation of the tumor microenvironment in dog and human hepatocellular carcinoma

Dog hepatocellular carcinoma (HCC) is the most common primary liver tumor in dogs, though it remains relatively rare overall. In humans HCC is frequently resistant to chemotherapy and radiation and often shows insufficient response to immunotherapy. Its occurrence in dogs, unlike humans, is not typically associated with viral infections, cirrhosis, or alcohol consumption. These distinctions offer a unique comparative perspective on the intrinsic genetic drivers of the disease. Using whole exome sequencing (WES) and single nucleus RNA sequencing (snRNA-seq) in tandem, we perform a multi-omic analysis of the dog HCC tumor. Mutational analysis of impactful polymorphisms revealed a conserved cross-species landscape with genes such as CTNNB1, known for highly recurrent mutations in human HCC, showing similar alterations in dogs. In dog HCC tumors, we identified the major cell types commonly observed in human HCC, including T cells, endothelial, macrophage, fibroblast, hepatocyte, and malignant characterizations. The inferred cellular communication observed across human and dog HCC cell types revealed parallels, particularly in macrophage functionality. These findings underscore the need for expanded genetic studies of dog HCC to further elucidate cross-species commonalities, offering deeper insights into key aspects of HCC biology and identifying novel therapeutic targets.

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Publication Details

Journal
Veterinary oncology.
Published
2025-10-22
DOI
https://doi.org/10.1186/s44356-025-00037-0
Citations
1
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.94
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article

Comparative multi-omics evaluation of the tumor microenvironment in dog and human hepatocellular carcinoma

Jeffrey N. Bryan, Jonathan B. Mitchem, Peter J. Dickinson, Skyler T. Kramer et al.
1 citations
Veterinary oncology.
Cancer Genomics and Diagnostics
0.94
article

Comparative multi-omics evaluation of the tumor microenvironment in dog and human hepatocellular carcinoma

Jeffrey N. Bryan, Jonathan B. Mitchem, Peter J. Dickinson, Skyler T. Kramer, William T. N. Culp, Alana R. Rodney, Wesley C. Warren, Yulia I. Nussbaum, Kate Megquier, Guangfu Li, An Hong, Edward S. Ricemeyer, Anna Koutoulas
article en
1 citations

Abstract

Dog hepatocellular carcinoma (HCC) is the most common primary liver tumor in dogs, though it remains relatively rare overall. In humans HCC is frequently resistant to chemotherapy and radiation and often shows insufficient response to immunotherapy. Its occurrence in dogs, unlike humans, is not typically associated with viral infections, cirrhosis, or alcohol consumption. These distinctions offer a unique comparative perspective on the intrinsic genetic drivers of the disease. Using whole exome sequencing (WES) and single nucleus RNA sequencing (snRNA-seq) in tandem, we perform a multi-omic analysis of the dog HCC tumor. Mutational analysis of impactful polymorphisms revealed a conserved cross-species landscape with genes such as CTNNB1, known for highly recurrent mutations in human HCC, showing similar alterations in dogs. In dog HCC tumors, we identified the major cell types commonly observed in human HCC, including T cells, endothelial, macrophage, fibroblast, hepatocyte, and malignant characterizations. The inferred cellular communication observed across human and dog HCC cell types revealed parallels, particularly in macrophage functionality. These findings underscore the need for expanded genetic studies of dog HCC to further elucidate cross-species commonalities, offering deeper insights into key aspects of HCC biology and identifying novel therapeutic targets.

Veterinary oncology.Vol. 2(1)
Broad Institute (US), University of Minnesota (US), Missouri College (US), Veterinary Medical Teaching Hospital (US), Cleveland Clinic Lerner College of Medicine (US), UConn Health (US), University of Missouri (US), Ludwig-Maximilians-Universität München (DE), University of California, Davis (US)
Openalex Percentile: Top 19%
Cancer Genomics and Diagnostics
0.94
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