The role of lipid metabolism genes in prostate cancer: a single-cell RNA sequencing study

Enikeeva K1, Pavlov V1, Sharifyanova Y1, Akramova E1, Shmelkova P1, Gainullina D1, Kalimullina L1

Research Type

Pure and Applied Science / Translational

Abstract Category

Uro-Oncology

Abstract 348
Urology 12 - Uro-Oncology
Scientific Podium Short Oral Session 29
Saturday 20th September 2025
17:22 - 17:30
Parallel Hall 3
Molecular Biology Basic Science Male
1. BSMU
Presenter
Links

Abstract

Hypothesis / aims of study
Prostate cancer (PCa) remains a leading cause of cancer-related mortality in men, with dysregulated lipid metabolism emerging as a key driver of tumor aggressiveness. Cancer cells rewire their metabolic pathways to sustain rapid proliferation, and increased de novo fatty acid synthesis is a hallmark of PCa. Elevated fatty acid levels not only provide energy but also serve as building blocks for membranes and signaling molecules, facilitating tumor growth and metastasis. Despite advances in understanding metabolic reprogramming, the specific contributions of lipid metabolism genes in different immune cell populations within the tumor microenvironment remain unclear. This study investigates the expression patterns of key lipid metabolism genes—ACSL1, ACSL4, MBOAT7, and SLC25A17—in prostate cancer patients using single-cell RNA sequencing (scRNA-seq) to uncover their potential roles in disease progression.
Study design, materials and methods
Peripheral blood mononuclear cells (PBMCs) were isolated from four patients with histologically confirmed PCa using Ficoll gradient centrifugation and cryopreserved. Healthy control data were obtained from publicly available datasets. scRNA-seq was performed using the 10x Genomics Chromium X platform (Next GEM Single Cell 3′ Kit v3.1). Raw sequencing data were processed with Cell Ranger (v7.1.0), and downstream analysis was performed in R (v4.3.3) using the Seurat package (v5.1.0). Dimensionality reduction was achieved via UMAP, and cell clustering was performed using the FindNeighbors and FindClusters functions. Differential gene expression analysis was conducted with FindMarkers, and pathway enrichment was assessed using Enrichr (GO Biological Process).
Results
Comparative analysis revealed distinct expression patterns of lipid metabolism genes in PCa patients versus healthy controls (Fig.1):  ACSL1 gene exhibited the strongest upregulation in monocytes, with moderate expression in dendritic cells, ACSL4 was expressed in both groups but significantly elevated in PCa monocytes and T-cells.  MBOAT7 and SLC25A17 showed variable expression across cell  and was not statistically significant.Notably, ACSL1’s pronounced expression in monocytes suggests a potential role in modulating immune responses within the tumor microenvironment.
Interpretation of results
Increased fatty acid metabolism supports PCa progression by fueling energy demands and membrane biosynthesis. The overexpression of ACSL1 in monocytes aligns with its known role in inflammation and foam cell formation, indicating a possible contribution to macrophage polarization and tumor-associated immunosuppression. Meanwhile, ACSL4 upregulation correlates with PCa aggressiveness, consistent with its involvement in ferroptosis resistance and metastatic potential . These findings highlight lipid metabolism as a critical node in PCa biology, with immune cell-specific alterations potentially shaping disease outcomes.
Concluding message
This study identifies ACSL1 and ACSL4 as key regulators of lipid metabolism in prostate cancer, particularly within monocytes and T-cells. The overexpression of these genes may drive tumor progression by altering immune cell function and promoting a protumorigenic microenvironment. Targeting fatty acid metabolism in specific immune subsets could offer a novel therapeutic strategy for PCa. Further validation in larger cohorts and functional studies will clarify their mechanistic roles and clinical relevance.
Figure 1 Fig.1. violin plots showing the expression levels of fatty-acid metabolism related genes in cell subpopulations *** p < 0.001; two-tailed t test.
Disclosures
Funding The study was funded by BSMU Strategic Academic Leadership Program PRIORITY-2030 Clinical Trial No Subjects Human Ethics Committee Local ethical committee of Bashkir State Medical University Helsinki Yes Informed Consent Yes
06/07/2025 02:45:28