// AI news · 2026-11-07 · Nature
Multi-omics reveals SALM macrophage phenotype in CRC
A multi-omics and machine learning study identifies a novel senescence-associated lipid-metabolic (SALM) macrophage phenotype in colorectal cancer.
Published 2026-11-07 08:00 (Beijing time)Source NatureAuto-summarised, fact-checked against source
01Summary
SALM cells exhibit enhanced IL-10/STAT3 signaling, terminal differentiation, and enrichment of senescence and lipid metabolism pathways. They suppress T cell function via immunosuppressive ligands IL-10 and MIF. A prognostic model based on SALM signatures achieves high accuracy (AUC = 0.972) in a combined TCGA–GSE39582 cohort, with spatial validation confirming p16+CD68+IL-10+ cell enrichment at the tumor front. The findings suggest SALM macrophages drive immunosuppression through a senescence-lipid metabolism axis and serve as a potential prognostic biomarker and therapeutic target.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- Identifies a novel SALM macrophage phenotype in colorectal cancer.
- SALM cells suppress T cell function via IL-10 and MIF.
- Prognostic model achieves AUC of 0.972 in combined cohort.
- p16+CD68+IL-10+ cells enriched at tumor front in spatial analysis.
03Source
Nature · published 2026-11-07 08:00 Beijing time
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