Fig. 5: Cellular neighborhood analysis identifies discrete microenvironmental regions across histomorphic niches in NF2 SWN-related vestibular schwannoma. | Nature Communications

Fig. 5: Cellular neighborhood analysis identifies discrete microenvironmental regions across histomorphic niches in NF2 SWN-related vestibular schwannoma.

From: Spatial mapping of immune cell environments in NF2-related schwannomatosis vestibular schwannoma

Fig. 5: Cellular neighborhood analysis identifies discrete microenvironmental regions across histomorphic niches in NF2 SWN-related vestibular schwannoma.The alternative text for this image may have been generated using AI.

A Dot plot of the individually derived spatial clusters (referred to as cellular neighbourhoods, CN) for Antoni A regions and Antoni B regions. Optimal cluster stability for both groups was 10. Cells were clustered using Gaussian mixture modelling. Node size indicates relative cell type enrichment of each cell across generated CNs (red = high enrichment, grey = low enrichment) (n = 13). B Relative abundance of both Antoni A and Antoni B CNs across cases (n = 13). C Representative spatial mapping of CNs across Antoni A and Antoni B regions. Each image is representative on an independent case to highlight intertumoral heterogeneity (CN colour key as in A, B). D Significant correlations between CNs and tumour growth rate (n = 13). Correlations were assessed by either Pearson correlation coefficient or Spearman correlation. Line of best-fit was generated by simple linear regression analysis. E CN proximity heatmaps depicting the spatial proximity of each CN to every other CN. Y-axis indicates sender communication; x-axis indicates receiver communication. Diverging scale bar denotes proximity enrichment, with red specifying high proximity, and blue specifying low proximity. Source data are provided as a Source Data file.

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