Single-cell RNA sequencing analysis of vestibular schwannoma reveals functionally distinct macrophage subsets

Br J Cancer. 2024 Jun;130(10):1659-1669. doi: 10.1038/s41416-024-02646-2. Epub 2024 Mar 13.

Abstract

Background: Vestibular schwannomas (VSs) remain a challenge due to their anatomical location and propensity to growth. Macrophages are present in VS but their roles in VS pathogenesis remains unknown.

Objectives: The objective was to assess phenotypic and functional profile of macrophages in VS with single-cell RNA sequencing (scRNAseq).

Methods: scRNAseq was carried out in three VS samples to examine characteristics of macrophages in the tumour. RT-qPCR was carried out on 10 VS samples for CD14, CD68 and CD163 and a panel of macrophage-associated molecules.

Results: scRNAseq revealed macrophages to be a major constituent of VS microenvironment with three distinct subclusters based on gene expression. The subclusters were also defined by expression of CD163, CD68 and IL-1β. AREG and PLAUR were expressed in the CD68+CD163+IL-1β+ subcluster, PLCG2 and NCKAP5 were expressed in CD68+CD163+IL-1β- subcluster and AUTS2 and SPP1 were expressed in the CD68+CD163-IL-1β+ subcluster. RT-qPCR showed expression of several macrophage markers in VS of which CD14, ALOX15, Interleukin-1β, INHBA and Colony Stimulating Factor-1R were found to have a high correlation with tumour volume.

Conclusions: Macrophages form an important component of VS stroma. scRNAseq reveals three distinct subsets of macrophages in the VS tissue which may have differing roles in the pathogenesis of VS.

MeSH terms

  • Antigens, CD / genetics
  • Antigens, Differentiation, Myelomonocytic / genetics
  • Antigens, Differentiation, Myelomonocytic / metabolism
  • Female
  • Humans
  • Interleukin-1beta / genetics
  • Interleukin-1beta / metabolism
  • Macrophages* / metabolism
  • Macrophages* / pathology
  • Male
  • Middle Aged
  • Neuroma, Acoustic* / genetics
  • Neuroma, Acoustic* / metabolism
  • Neuroma, Acoustic* / pathology
  • Sequence Analysis, RNA*
  • Single-Cell Analysis* / methods
  • Tumor Microenvironment / genetics

Substances

  • Antigens, CD
  • Antigens, Differentiation, Myelomonocytic
  • Interleukin-1beta