Machado · Cellular oncology (Dordrecht, Netherlands) 2026 · Pan-cancer bioinformatic transcriptomic study · n=11,735 samples

Pan-cancer analysis of cholesterol metabolism reveals the uptake as a modulator of tumor immune features and of the KRAS pathway.

Cited 1 times in the scientific literature.

Level 4 - case-series / case-control

Retrospective bioinformatic cross-sectional analysis of public transcriptomic datasets (by design analogy, non-interventional).

PubMed 41677991 · doi:10.1007/s13402-026-01171-z · record verified 2026-08-30

What was done

Researchers analyzed transcriptomic profiles from 11,735 cancer and normal tissue samples across 26 tumor types using The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases. They assessed gene expression signatures for five cholesterol pathways—biosynthesis, uptake, storage, efflux, and catabolism—and correlated uptake scores with survival, immune infiltration, and KRAS pathway activation.

What was found

Cholesterol metabolism alterations varied across cancers, but cholesterol uptake was the most consistently elevated pathway. Elevated cholesterol uptake correlated with tumor aggressiveness, worse overall survival, inflammatory signaling pathways (such as Complement and IL-6-JAK-STAT3), higher immune checkpoint expression, and increased infiltration of regulatory T cells, cytotoxic and CD4+ T cells, eosinophils, and endothelial cells. Tumors with high cholesterol uptake had higher rates of KRAS mutations and the poorest survival; notably, KRAS-wild-type tumors with high uptake exhibited higher KRAS signaling scores than KRAS-mutant tumors with low uptake. No numerical effect sizes, correlation coefficients, or p-values were provided in the abstract.

Why it matters

While oncology research has primarily focused on cholesterol biosynthesis inhibitors, these findings suggest cholesterol uptake is a conserved feature of aggressive tumors and a potential target to combine with immunotherapy or KRAS inhibition.

Limits

The study relies entirely on retrospective bulk transcriptomic data from public databases. No direct biochemical measurements of cholesterol, cellular validation, animal models, or prospective clinical data were reported in the abstract. Numerical statistics and effect sizes are absent from the abstract.

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