Thoracic Cancer (May 2024)

Single‐cell RNA sequencing reveals aberrant sphingolipid metabolism in non‐small cell lung cancer impacts tumor‐associated macrophages and stimulates angiogenesis via macrophage inhibitory factor signaling

  • Luyan Shen,
  • Jingtao Liu,
  • Fengling Hu,
  • Yifan Fang,
  • Yaya Wu,
  • Wei Zhao,
  • Shaohua Ma

DOI
https://doi.org/10.1111/1759-7714.15283
Journal volume & issue
Vol. 15, no. 14
pp. 1164 – 1175

Abstract

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Abstract Background Sphingolipids 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. Methods Through 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). Results Disparities 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. Conclusion Based 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.

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