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Harnessing lipid-driven immuno-metabolic pathways in omental metastases to enhance immunotherapy in ovarian cancer

ABSTRACT: Despite the potential of immune checkpoint blockade (ICB) in epithelial ovarian carcinoma (EOC), its clinical efficacy remains limited. Our study investigates the immuno-metabolic landscape of omental metastases to identify therapeutic targets. Using patient-derived explants (PDEs), we demonstrate that lipid-rich omental environments preserve effector T cell function, while lipid processing in tumor-associated macrophages (TAMs) induces oxidative stress and immune suppression. Targeting lipid metabolism via CCR5 inhibition (e.g., maraviroc) or anti-CD36 treatment reprograms TAMs, restores T cell activity, and enhances anti-tumor immunity. These findings reveal a metabolic-inflammatory axis that can be modulated to improve ICB outcomes in EOC.

ORGANISM(S): Mus musculus

PROVIDER: GSE310918 | GEO | 2025/12/19

REPOSITORIES: GEO

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Project description:The objective was to characterize differences in the secretome of human omental compared with subcutaneous adipose tissue using global gene expression profiling. Gene expression was measured using Affymetrix microarrays in subcutaneous and omental adipose tissue (n=3 independent subjects; 6 arrays). Predictive bioinformatic algorithms were employed to identify those differentially expressed genes that code for secreted proteins and to identify common pathways between these proteins. All patients provided informed written consent before inclusion in the study which was approved by the North of Scotland Research Ethics Committee (NOSREC). The subcutaneous and omental white adipose tissue biopsies were analysed from three obese patients (BMI 39.1+/-1.9 kg/m2; age 36 +/- 8 years) who had fasted overnight. Subcutaneous and omental white adipose tissue biopsies were taken at the time of surgery for vertical banded gastroplasty from n=3 independent subjects who had fasted overnight. (6 arrays). Adipose tissue samples were obtained within 5 minutes of the tissue being extracted from the patients and frozen immediately in liquid nitrogen. Subjects had fasted overnight prior to surgery. Total RNA was extracted using the RNeasy Lipid tissue mini kit followed by incubation with RNase free DNase (Qiagen, Crawley, West Sussex) for DNA-free RNA, following the manufacturer's instructions (Qiagen, Crawley, West Sussex). RNA was quantified on the Agilent 2100 Bioanalyser (Agilent Technologies, South Queensferry, West Lothian). This also shows the quality of the RNA extracted from the tissues. Only RNA showing no degradation (RIN greater than 9.0) was processed further. The DNA-free RNA from the subcutaneous and omental adipose tissue samples from the patients was then sent to a commercial company for analyses. The RNA from three volunteers (6 arrays ) was fragmented and hybridised to Human Affymetrix U133 plus 2 (Santa Clara, CA) gene chips following the Affymetrix protocol by the MRC Geneservice (MRC HGMP Resource centre, Babraham, Cambridge). Briefly, the Affymetrix one-cycle target labelling and control reagents were used to synthesize Biotin-labelled cRNA. The concentration of the cRNA was measured using a Nanodrop (Thermoscientific) and Agilent bioanalyser to rule out the possibility that only very short cRNA products were formed. This could have caused a 3’-5’ bias and influenced the data analysis. Approximately 20µg cRNA was used for further fragmentation and finally 10µg was used for the hybridisations. The Affymetrix protocols were followed for the hybridisations, washing, staining and scanning of the chips

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Harnessing lipid-driven immuno-metabolic pathways in omental metastases to enhance immunotherapy in ovarian cancer

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