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.

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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