Extended Data Fig. 6: Binary drug response calls and correlation with clinical subsets.
From: Functional genomic landscape of acute myeloid leukaemia
a, For the intersect of every specimen with evaluable response data for each inhibitor, we created a threshold for binary sensitive or resistant calls based on whether the individual specimen response fell within the most sensitive 20% of all specimens tested against that drug. A matrix plot showing the unsupervised clustering of the binary calls can be found at http://vizome.org/additional_figures_BeatAML.html. The binary drug-resistance calls for each specimen were combined into a single value, representing the proportion of drugs to which an individual specimen was sensitive (left) or resistant (right). Specimens were divided into ‘Favourable’ and ‘Adverse’ groups based on ELN 2017 criteria to determine whether overall drug sensitivity or resistance correlated with prognostic features of disease (n = 233 patients). b, The binary drug-resistance calls for each specimen as in a. Specimens were divided into diagnostic groups based on WHO 2016 categories to determine whether overall drug sensitivity or resistance correlated with cytogenetic or morphologic features of disease (n = 340 patients). a, b, The top and bottom points of the box plots show 1.5 times the interquartile range (IQR) from the upper and lower lines; the top, middle and bottom lines indicate the 75th, median and 25th percentile of the data with the notches extending 1.58 × IQR/(√(n)). Specific sample sizes of each group are reported in Supplementary Table 22.
