Single-cell multi-omics reveals that FABP1 + renal cell carcinoma drive tumor angiogenesis through the PLG-PLAT axis under fatty acid reprogramming

Renal cell carcinoma is characterized by a poor prognosis. Recently, renal cell carcinoma has been recognized as a metabolic disease associated with fatty acid metabolic reprogramming, although in-depth studies on this topic are still lacking. We found that fatty acid metabolism reprogramming in renal cell carcinoma is primarily characterized by high expression of FABP1. FABP1 + tumors significantly impact survival and display distinct differentiation trajectories compared to other tumor subclusters. They show elevated expression of angiogenesis and cell migration signals, with PLG-PLAT-mediated interactions with endothelial cells notably enhanced. Spatial transcriptomics show a prominent co-localization of FABP1 + tumors with endothelial cells, and their spatial distribution closely aligns with that of PLAT + endothelial cells. FABP1 + tumors exhibit a unique pattern in spatial transcriptomics, enriched in Extracellular Matrix and angiogenesis-related pathways. Through receptor-ligand interaction analysis, a novel PLG-PLAT functional axis was found between tumor epithelial cells and endothelial cells. Based on results of experiments, we infer that FABP1 + tumors can promote plasmin-related tumor angiogenesis by triggering the PLG-PLAT signaling axis. Finally, utilizing preclinical models, we suggest that targeting the FABP1-PLG-PLAT axis may serve as promising strategy enhancing the sensitivity of Tyrosine Kinase Inhibitor therapy.

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Publication Details

Journal
Molecular Cancer
Published
2025-06-16
DOI
https://doi.org/10.1186/s12943-025-02377-9
Citations
5
Primary Topic
Cancer, Lipids, and Metabolism
Type
article
Field-Weighted Citation Impact
4.68

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article

Single-cell multi-omics reveals that FABP1 + renal cell carcinoma drive tumor angiogenesis through the PLG-PLAT axis under fatty acid reprogramming

Xinhuang Hou, Yaoyu Yu, Yiqiu Wang, Yingchun Liang et al.
5 citations
Molecular Cancer
Cancer, Lipids, and Metabolism
4.68
article

Single-cell multi-omics reveals that FABP1 + renal cell carcinoma drive tumor angiogenesis through the PLG-PLAT axis under fatty acid reprogramming

Xinhuang Hou, Yaoyu Yu, Yiqiu Wang, Yingchun Liang, Sian Zhou, Changwei Yang, Min Li, Jiayi Lu
article en
5 citations

Abstract

Renal cell carcinoma is characterized by a poor prognosis. Recently, renal cell carcinoma has been recognized as a metabolic disease associated with fatty acid metabolic reprogramming, although in-depth studies on this topic are still lacking. We found that fatty acid metabolism reprogramming in renal cell carcinoma is primarily characterized by high expression of FABP1. FABP1 + tumors significantly impact survival and display distinct differentiation trajectories compared to other tumor subclusters. They show elevated expression of angiogenesis and cell migration signals, with PLG-PLAT-mediated interactions with endothelial cells notably enhanced. Spatial transcriptomics show a prominent co-localization of FABP1 + tumors with endothelial cells, and their spatial distribution closely aligns with that of PLAT + endothelial cells. FABP1 + tumors exhibit a unique pattern in spatial transcriptomics, enriched in Extracellular Matrix and angiogenesis-related pathways. Through receptor-ligand interaction analysis, a novel PLG-PLAT functional axis was found between tumor epithelial cells and endothelial cells. Based on results of experiments, we infer that FABP1 + tumors can promote plasmin-related tumor angiogenesis by triggering the PLG-PLAT signaling axis. Finally, utilizing preclinical models, we suggest that targeting the FABP1-PLG-PLAT axis may serve as promising strategy enhancing the sensitivity of Tyrosine Kinase Inhibitor therapy.

Molecular CancerVol. 24(1)
Fujian Medical University (CN), Shanghai Jiao Tong University (CN), Renji Hospital (CN), First Affiliated Hospital of Fujian Medical University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 5%
Cancer, Lipids, and Metabolism
4.68
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