Lipid metabolism of clear cell renal cell carcinoma predicts survival and affects intratumoral CD8 T cells

URN to cite this document:: urn:nbn:de:bvb:355-epub-776699
DOI to cite this document:: 10.5283/epub.77669

Simeth, Jakob

; Engelmann, Simon ; Mayr, Roman

; Kaelble, Sebastian ; Weber, Florian

; Pichler, Renate ; Dettmer, Katja

; Oefner, Peter J.

; Höring, Marcus

; Symeou, Luisa ; Freitag, Katharina ; Wagner, Kilian ; Burger, Maximilian ; Herr, Wolfgang ; Kreutz, Marina

; Spang, Rainer

; Liebisch, Gerhard

; Siska, Peter J.

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 09 Sep 2025 04:27

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Abstract

Abstract

Background
Clear cell renal cell carcinoma (ccRCC), the most common RCC subtype, both accumulates and depletes selected lipid species. However, the prognostic role of lipid metabolic reprogramming in ccRCC has not been studied in detail so far. In addition, ccRCC can show a dense immune infiltration. Intriguingly, tumor infiltration with T cells can be negatively prognostic in RCC. This comprehensive study of the transcriptome, lipidome and immune infiltrate of ccRCC tumors elucidates the prognostic role of lipid-metabolic pathways and their possible interaction with tumor infiltrating T cells.
Methods
Freshly resected RCC tumors and adjacent kidney tissues and extracellular fluids were processed and subjected to mass-spectrometry based lipidomics and lipid staining (n = 36). Hierarchical clustering was performed using the transcriptome data and gene group definitions obtained from publicly available databases (TCGA, 526 ccRCC and 287 papillary RCC). Phenotype, activation, proliferation and fatty acid uptake were assessed in ccRCC infiltrating T cells at single cell level ex vivo (n = 22) or after treatment with oleate and palmitate in vitro (n = 4).
Results
ccRCC tumors accumulated lipids, notably those containing oleate. Clustering of RCC patients based on the expression of genes involved in fatty acid degradation (FAD) and cholesterol synthesis (chol) was able to predict survival and was superior to clustering based on genes involved in fatty acid synthesis or fatty acid elongation. Further, prognostic clustering was observed in ccRCC, but not in papillary RCC tumors, and it was independent of major clinical parameters. The FAD/chol cluster with poor prognosis showed a trend toward decreased prevalence of VHL mutations and higher c-MET copy numbers. Moreover, this cluster associated with dysregulated inflammation hallmarked by low PRF1, but high IFNɣ expression. Tumor infiltrating T cells showed increased fatty acid uptake, and CD8 T cell infiltration negatively correlated with oleate-associated lipid species found in the extracellular space of ccRCC tumors. Lastly, oleate treatment ex vivo suppressed the activation and perforin production of CD8 T cells from ccRCC tumors.
Conclusions
Our study describes a robust, prognostic clustering of lipid gene expression that is both ccRCC-specific and independent of major parameters such as tumor size or aggressiveness. Furthermore, we propose that oleate accumulation in the RCC lipidome affects intratumoral CD8 T cell infiltration and function.

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