ArticleBiomarker research2025
Fatty acid metabolism shapes immune responses in chronic lymphocytic leukemia.
Article in Biomarker research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- KAT2A-IGF2BP1-CXCL2 axis in the high lactate tumor microenvironment facilitates resistance to anti-PD-1 therapy in lung adenocarcinoma by recruiting myeloid-derived suppressor cells.Cell death & disease · 2026Article
- The tumor microenvironment in hematologic malignancies: immune evasion, metabolic reprogramming, and therapeutic resistance.Blood science (Baltimore, Md.) · 2026Review
- The application of nanotechnology in regulating mitochondrial function in tumor microenvironment for cancer therapy.Theranostics · 2026Review
- Development and validation of a leukemia prognostic model through single-cell RNA sequencing and machine learning approaches.Discover oncology · 2025Article
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9 authors.
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Abstract
backgroundFatty acids serve as a crucial energy source for tumor cells during the progression of chronic lymphocytic leukemia (CLL). The present study aims to elucidate the characteristics of fatty acid metabolism (FAM) in CLL, construct a related prognostic score, and investigate the regulatory role and mechanisms of FAM in CLL development.
methodsBulk RNA sequencing data from CLL patients and healthy controls were analyzed to identify differentially expressed fatty acid metabolic genes. FAM-score was constructed using Cox-LASSO regression and validated. Single-cell RNA sequencing was used to analyze the expression of key FAM genes in CLL immune cell subsets and investigate cellular communication. Functional assays, including cell viability, drug sensitivity, and oxygen consumption assays, were performed to assess the impact of fatty acid oxidation (FAO) inhibition on CLL cells.
resultsThree FAM-related genes (LPL, SOCS3, CNR1) were identified with independent prognostic significance to construct the risk score. The FAM-score demonstrated superior prognostic performance compared to the Binet stage and was associated with established clinical prognostic markers. Single-cell analysis revealed distinct expression patterns of LPL, SOCS3, and CNR1 across CLL immune cell subsets. Cellular communication analysis highlighted the regulatory role of distinct B cell and Treg subsets in the CLL microenvironment. CLL patients with high FAM-score displayed distinct immune infiltration patterns, with increased FAO pathway activity. Inhibition of FAO reduced CLL cell viability, synergistically enhanced the efficacy of the PI3K inhibitor idelalisib.
conclusionThe present study constructed a prognostic risk score based on FAM gene expression, revealing related immune phenotypic differences and exploring the regulatory role of FAO in CLL development. Targeting fatty acid metabolism potentially modulates the CLL immune microenvironment and synergistically enhances the efficacy of PI3K inhibitors.
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