Affiliation:
1. Key Laboratory of Carcinogenesis and Translational Research, Department of Thoracic Surgery I Peking University Cancer Hospital and Institute Beijing China
2. Key Laboratory of Carcinogenesis and Translational Research, Department of Pharmacology Peking University Cancer Hospital and Institute Beijing China
3. Key Laboratory of Carcinogenesis and Translational Research, Department of Clinical Laboratory Peking University Cancer Hospital and Institute Beijing China
4. State Key Laboratory of Molecular Oncology, Beijing, Key Laboratory of Carcinogenesis and Translational Research, Department of Thoracic Surgery I Peking University Cancer Hospital and Institute Beijing China
Abstract
AbstractBackgroundSphingolipids not only serve as structural components for maintaining cell membrane fluidity but also function as bioactive molecules involved in cell signaling and the regulation of various biological processes. Their pivotal role in cancer cell development, encompassing cancer cell proliferation, migration, angiogenesis, and metastasis, has been a focal point for decades. However, the contribution of sphingolipids to the complexity of tumor microenvironment promoting cancer progression has been rarely investigated.MethodsThrough the integration of publicly available bulk RNA‐seq and single‐cell RNA‐seq data, we conducted a comprehensive analysis to compare the transcriptomic features between tumors and adjacent normal tissues, thus elucidating the intricacies of the tumor microenvironment (TME).ResultsDisparities in sphingolipid metabolism (SLM)‐associated genes were observed between normal and cancerous tissues, with the TME characterized by the enrichment of sphingolipid signaling in macrophages. Cellular interaction analysis revealed robust communication between macrophages and cancer cells exhibiting low SLM, identifying the crucial ligand‐receptor pair, macrophage inhibitory factor (MIF)‐CD74. Pseudo‐time analysis unveiled the involvement of SLM in modulating macrophage polarization towards either M1 or M2 phenotypes. Categorizing macrophages into six subclusters based on gene expression patterns and function, the SPP1+ cluster, RGS1+ cluster, and CXCL10+ cluster were likely implicated in sphingolipid‐induced M2 macrophage polarization. Additionally, the CXCL10+, AGER+, and FABP4+ clusters were likely to be involved in angiogenesis through their interaction with endothelial cells.ConclusionBased on multiple scRNA‐seq datasets, we propose that a MIF‐targeted strategy could potentially impede the polarization from M1 to M2 and impair tumor angiogenesis in low‐SLM non‐small cell lung cancer (NSCLC), demonstrating its potent antitumor efficacy.
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Cited by
1 articles.
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