Identification of RCNs in DLBCL NOS (n = 99) by creating a neighborhood matrix followed by a latent Dirichlet allocation analysis and K-means clustering. A, A barplot depicting the average cellular composition of each of the identified RCNs. B, A Voronoi plot of the same TMA core as presented in Fig. 1A with cells colored based on their RCNs. C, A barplot depicting the proportion of all cells that present with each of the identified RCNs. D, A barplot depicting the RCN composition of the lymphomas in each patient in the cohort. E and F, Boxplots depicting the median proportion of cells with an M1-like TAM-rich RCN8 (E) and PD-L1+ M2-like TAM-rich RCN10 (F) in GCB and ABC DLBCLs. G and H, Boxplots depicting the median proportion of cells with a B cell rich with immune cells RCN1 in B2M positive and negative DLBCLs (G) and the proportion of cells with a CD4+ T cell–rich RCN3 in HLA-ABC–positive and –negative DLBCLs (H). The groups were compared using Mann–Whitney U test. Lower and upper hinges of the boxplot correspond to the 25th and 75th percentiles, and whiskers the confidence intervals 1.5 × IQR from the hinge.
Autio et al. (Wed,) studied this question.
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