Omics · study · 2026
Steatosis shifts the histopathological heterogeneity of liver metastases towards poor prognosis replacement growth in colorectal cancer patients
Listed in NCBI GEO
Liver metastases are a leading cause of cancer-related deaths, particularly in colorectal cancer.
Description
Two distinct histological growth patterns characterize liver metastases: the desmoplastic growth pattern, marked by a stromal encapsulating ring around the metastasis, and the replacement growth pattern, where cancer cells integrate into and replace the native hepatocyte architecture. The replacement pattern is associated with poorer therapeutic responses and worse overall prognosis.
Concurrently, obesity, which alters the liver microenvironment, is linked to unfavorable outcomes in colorectal cancer patients. This study explores the interplay between a lipid-rich liver microenvironment and histological growth patterns in metastases. Using resected patient specimens and preclinical mouse models of obesity, we observed a correlation between liver steatosis and a shift toward the more aggressive replacement growth pattern.
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Mechanistically, lipid-rich environments, both in vitro and in vivo, were found to enhance proline synthesis in colorectal cancer cells, promoting extracellular matrix (ECM) production. This phenotypic switch is driven by fatty acid oxidation, which generates acetyl-coenzyme A, leading to the accumulation of the transcription factor MYC. Inhibiting fatty acid oxidation or silencing MYC reversed the aggressive growth advantage in lipid-rich conditions.
Interestingly, cancer cells lose the aggressive phenotype once the lipid abundance is withdrawn. Furthermore, publicly available patient datasets revealed upregulated proline and ECM metabolism in inherent replacement growth patterns. Targeting these pathways significantly reduced liver metastasis outgrowth in preclinical models.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE292nnn/GSE292820 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE292820 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1241311 ncbi.nlm.nih.gov/bioproject/PRJNA1241311 ↗
project · from NCBI GEO
- PubMed 42386979 pubmed.ncbi.nlm.nih.gov/42386979 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- Cancer 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE292820 | 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[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[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| 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 |