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Related Experiment Video

Updated: Jun 26, 2026

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
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Published on: June 16, 2017

Analysis of chronic lymphotic leukemia transcriptomic profile: differences between molecular subgroups.

Eloisa Jantus Lewintre1, Cristina Reinoso Martín, David Montaner

  • 1Molecular Haematology Laboratory, Prince Felipe Research Centre, Valencia, Spain. ejantus@cipf.es

Leukemia & Lymphoma
|January 8, 2009
PubMed
Summary

This study identifies new prognostic markers for B cell chronic lymphocytic leukemia (CLL). Gene expression analysis revealed CRY1, LPL, CD82, and DUSP22 as potential indicators of disease progression, outperforming ZAP70.

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Published on: October 23, 2019

Area of Science:

  • Hematology
  • Molecular Biology
  • Oncology

Background:

  • B cell chronic lymphocytic leukemia (CLL) is a heterogeneous lymphoproliferative disorder.
  • Prognosis in CLL varies significantly, influenced by genetic factors such as immunoglobulin heavy chain variable (IgV(H)) gene mutations.
  • Unmutated IgV(H) is associated with poorer survival outcomes compared to mutated IgV(H).

Purpose of the Study:

  • To identify novel gene expression markers for predicting CLL progression.
  • To compare the prognostic value of identified genes with the established ZAP70 marker.
  • To explore gene expression patterns associated with IgV(H) mutation status in early-stage CLL.

Main Methods:

  • Gene expression profiling using high-density microarrays in 36 early-stage CLL patients.
  • Differential gene expression analysis based on IgV(H) mutation status and BCL6 mutations.
  • Functional profiling using KEGG and gene ontology terms to analyze coordinated gene expression changes.

Main Results:

  • Approximately 150 differentially expressed genes were identified based on IgV(H) mutation status; no significant differences were found for BCL6 mutations.
  • Functional analysis revealed distinct KEGG and gene ontology terms associated with CLL subgroups.
  • CRY1, LPL, CD82, and DUSP22 were validated as differentially expressed genes with prognostic potential, showing performance comparable or superior to ZAP70.

Conclusions:

  • IgV(H) mutation status is a significant driver of gene expression differences in CLL.
  • CRY1, LPL, CD82, and DUSP22 represent promising novel prognostic biomarkers for CLL.
  • These markers may offer improved prediction of disease progression compared to current markers like ZAP70.