Examples of disease cohort indexing. Multivariable representations of individual patient samples in the context of the analyzed disease cohorts. (A) Two patients with stable disease (ET [patient 1] and refractory PV [patient 2]) in whom sequential samples were available showed close clustering of the analyzed samples on the PCA plot. (B) Two patients with transformed ET (patient 3) and PV (patient 4) showed a marked shift in the multivariable representations of megakaryocytes between the chronic MPN samples and the transformed samples (post-ET myelofibrosis and post-PV myelofibrosis, respectively) on the PCA plot. The confidence level indicates the likelihood of samples belonging to a particular MPN classification.
Figure 6.

Examples of disease cohort indexing. Multivariable representations of individual patient samples in the context of the analyzed disease cohorts. (A) Two patients with stable disease (ET [patient 1] and refractory PV [patient 2]) in whom sequential samples were available showed close clustering of the analyzed samples on the PCA plot. (B) Two patients with transformed ET (patient 3) and PV (patient 4) showed a marked shift in the multivariable representations of megakaryocytes between the chronic MPN samples and the transformed samples (post-ET myelofibrosis and post-PV myelofibrosis, respectively) on the PCA plot. The confidence level indicates the likelihood of samples belonging to a particular MPN classification.

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