A 30-gene classifier distinguishes low-risk MDS HSPCs from healthy HSPCs

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Myelodysplastic syndromes (MDS) are a group of malignant clonal disorders that are characterized by functional impairment of hematopoiesis, morphologic dysplasia, and genetic heterogeneity 1 . While less likely to transform to acute leukemia, lower-risk MDS (LR-MDS) include patients with IPSS-M moderate low risk, low risk, and very low risk patients 2 and have a limited median survival of 3 to 10 years 3 . Further, there is growing interest in discovering translational targets of LR-MDS pathophysiology. Clonal populations within the hematopoietic stem and progenitor (HSPC) to myeloid differentiation spectrum are widely considered to be a major contributor to MDS pathophysiology 4 . A granular assessment of cell-type and lineage-specific states that contribute to LR-MDS pathophysiology remains to be elucidated. Here, we leverage single-cell transcriptomics to characterize cell states across the HSPC-myeloid differentiation landscape in LR-MDS. We develop a 30-gene score to classify LR-MDS HSPCs and identify novel molecular features of LR-MDS. The genes in our score suggest dysfunction in vesicular trafficking, which we further resolve across the myeloid differentiation axis. The gene products of vesicular trafficking-related pathways may be suitable translational targets for LR-MDS. Teaser Abstract We leveraged single-cell transcriptomics to differentiate low-risk MDS and healthy cells from patient bone marrow samples. A combination approach of network analysis and classification was used to identify a 30-gene signature that distinguishes MDS HSPCs from HD HSPCs. Upregulation of pathways related to protein translation, pro-inflammatory cytokine production, and vesicular trafficking were observed. Lastly, we stratify the thirty genes by their expression across the HSPC-myeloid differentiation axis and highlight divergent expression patterns in genes related to vesicular trafficking components.

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