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Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up
Published on: March 26, 2018
Single-cell genotyping demonstrates complex clonal diversity in acute myeloid leukemia
Amy L Paguirigan1, Jordan Smith2, Soheil Meshinchi2
1Fred Hutchinson Cancer Research Center, Seattle, WA 98117, USA. apaguiri@fredhutch.org.
Clonal evolution in acute myeloid leukemia (AML) is complex. Single-cell genotyping reveals diverse mutations and clonal populations, challenging current models and highlighting the need for new therapeutic strategies.
Area of Science:
- Hematology
- Cancer Biology
- Genetics
Background:
- Clonal evolution drives cancer progression, metastasis, and relapse.
- Next-generation sequencing (NGS) is commonly used to track mutant alleles and determine clonality.
- Current NGS methods rely on assumptions about mutation patterns and heterozygosity, which may not hold true for all cancer types, including acute myeloid leukemia (AML).
Purpose of the Study:
- To assess the appropriateness of current models of clonal diversity in AML.
- To develop protocols for direct single-cell genotyping in AML.
- To investigate the patterns of common mutations (FLT3, NPM1) in AML at the single-cell level.
Main Methods:
- Development of protocols for direct single-cell genotyping of AML samples.
- Analysis of mutations in FLT3 and NPM1 genes within individual AML cells.
- Characterization of clonal populations and their evolutionary trajectories.
Main Results:
- Single-cell analysis revealed that FLT3 and NPM1 mutations occur in both homozygous and heterozygous states.
- At least nine distinct clonal populations were identified in all analyzed AML samples.
- Evidence of convergent evolution and differential evolutionary trajectories for cells with distinct mutations was observed.
Conclusions:
- Current computational models based on bulk sequencing may underestimate tumor heterogeneity in AML.
- The observed clonal diversity and evolutionary patterns suggest a more complex landscape than previously understood.
- These findings have significant implications for developing targeted therapies to effectively manage AML and prevent relapse.
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