Omics · study · 2026
Comparative Multi-Omics Evaluation of the Tumor Microenvironment in Canine and Human Hepatocellular Carcinoma
Listed in NCBI GEO
Description
Background
Liver cancer remains a leading cause of death in humans. Its primary form, hepatocellular carcinoma (HCC) is frequently resistant to chemotherapy and radiation and often shows insufficient response to immunotherapy. HCC in dogs can arise from various factors but is not typically associated with viral infections, cirrhosis, or alcohol consumption, the more common triggers of spontaneous HCC in humans.
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This distinction offers a unique comparative perspective on the intrinsic genetic drivers of the disease.
Methods
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. Results: 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 major cell types commonly observed in human HCC, including T lymphocyte, endothelial, macrophage, fibroblast, hepatocyte, malignant, and non-specific proliferating types.
A comparative analysis of intercellular interactions across human and dog HCC cell types revealed intriguing parallels, particularly in macrophage functionality. Conclusions: 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.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE292nnn/GSE292303 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE292303 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1237850 ncbi.nlm.nih.gov/bioproject/PRJNA1237850 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75% · Disease 75% · RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE292303 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:disease | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |