Extended Data Fig. 8: High-dimensional analysis of immunophenotypic data obtained from the validation cohort.

a, Color maps obtained using the BH-SNE bioinformatic algorithm for single-cell analysis, allowing the visualization in a two-dimensional map of complex datasets of high-dimensional objects (in this case, single cells stained with 16 different fluorochromes), plotted in the map on the basis of their reciprocal similarity. Shown are maps obtained from the full dataset of immunophenotypic analyses performed in our validation cohort, encompassing all the events registered in the analysis of paired diagnosis-relapse samples from the validation cohort (n = 36). The BH–SNE map relative to expression of HLA-DR, HLA-DP, PD-L1, B7-H3 and Vista was colored to evidence the differential positioning (and consequently phenotypic dissimilarity) of events originating from diagnosis samples (in red, left panel) or relapse samples (in blue, right panel). b, On the basis of K-means analysis of the BH-SNE map, meta-clusters of events unique for diagnoses (n = 19) and relapses (n = 4) were identified, and the mean fluorescence intensity of the markers characterizing them are plotted in red and blue, respectively. P values were calculated by a two-sided unpaired t-test at 95% CI.