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Updated: Nov 30, 2025

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Published on: October 19, 2014
Evolution of Advanced Chronic Lymphoid Leukemia Unveiled by Single-Cell Transcriptomics: A Case Report
Pavel Ostasov1,2, Henry Robertson3, Paolo Piazza3
1Laboratory of Tumor Biology and Immunotherapy, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czechia.
Single-cell RNA sequencing reveals evolving clones in Chronic lymphocytic leukemia (CLL) during treatment. Identifying these clones at diagnosis can predict aggressive disease and guide therapy decisions.
Area of Science:
- Hematology
- Genomics
- Immunology
Background:
- Chronic lymphocytic leukemia (CLL) exhibits genetic and transcriptional heterogeneity, complicating disease progression management.
- Longitudinal single-cell transcriptomics is crucial for profiling CLL heterogeneity and understanding disease evolution.
Observation:
- Single-cell RNA sequencing (scRNA-seq) was applied to a CLL case at diagnosis and relapse after Fludarabine, Cyclophosphamide, Rituximab (FCR) treatment.
- A significant decrease in CD19 expression was observed during disease progression.
- Computational analysis identified a major clonal switch during treatment, with a dominant clone emerging at relapse.
Findings:
- The relapsed clone exhibited 17p and 3p chromosomal deletions and upregulated pathways in motility, cytokine signaling, and antigen presentation.
- scRNA-seq revealed this aggressive clone was present at low frequency at diagnosis.
- The dominant clone displayed features of plasma cell differentiation, indicating a more aggressive phenotype.
Implications:
- Single-cell profiling of CLL heterogeneity at diagnosis is beneficial for identifying potentially aggressive clones.
- This approach can aid in recognizing underrepresented clones and informing optimal treatment strategies for CLL patients.
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