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Publications

Distinct patterns of clonal evolution drive myelodysplastic syndrome progression to secondary acute myeloid leukemia


Guess T, Potts CR, Bhat P, Cartailler JA, Brooks A, Holt C, Yenamandra A, Wheeler FC, Savona MR, Cartailler JP, Ferrell PB.
Blood Cancer Discovery Jun 2022
Abstract

Clonal evolution in myelodysplastic syndrome (MDS) can result in clinical progression and secondary acute myeloid leukemia (sAML). To dissect changes in clonal architecture associated with this progression, we performed single-cell genotyping of paired MDS and sAML samples from 18 patients. Analysis of single-cell genotypes revealed patient-specific clonal evolution and enabled the assessment of single-cell mutational cooccurrence. We discovered that changes in clonal architecture proceed via distinct patterns, classified as static or dynamic, with dynamic clonal architectures having a more proliferative phenotype by blast count fold change. Proteogenomic analysis of a subset of patients confirmed that pathogenic mutations were primarily confined to primitive and mature myeloid cells, though we also identify rare but present mutations in lymphocyte subsets. Single-cell transcriptomic analysis of paired sample sets further identified gene sets and signaling pathways involved in two cases of progression. Together, these data define serial changes in the MDS clonal landscape with clinical and therapeutic implications.

VIEW

Area

Heme

Institution Type

Academia

Indication / Modality

Acute Myleoid Leukemia (AML), Myelodysplastic Syndrome (MDS)

Goal of Study

Clonal Evolution, Clonal Heterogeneity, Disease Progression, Longitudinal, Retrospective

Key Genes

SF3B1, TET2, NRAS, KRAS, DNMT3A, FLT3, PTPN11, NF1, GATA2, SETBP1

PAD Project

No

Analytes Assessed

InDels, SNV, Extracellular Protein

Sample Storage

Fresh Frozen

Sample Prep

Whole Cells

Sample Type

Patient Material

Tissue / Organ

Bone Marrow Aspirates

Species

Human

Panel Used

Myeloid Catalog Panel

Proof Point Demonstrated

Cell Identity, Clonality, Co-occurrence, Multi-omics, Sensitivity
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