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Updated: Apr 23, 2026

Comprehensive DNA Methylation Analysis Using a Methyl-CpG-binding Domain Capture-based Method in Chronic Lymphocytic Leukemia Patients
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Array-based DNA methylation profiling in follicular lymphoma.

C O'Riain1, D M O'Shea, Y Yang

  • 1Centre for Medical Oncology, Barts and the London School of Medicine and Dentistry, Institute of Cancer, London EC1M 6BQ, UK. c.l.oriain@qmul.ac.uk

Leukemia
|July 10, 2009
PubMed
Summary
This summary is machine-generated.

Quantitative methylation profiling in follicular lymphoma (FL) revealed tumor-specific DNA methylation gains. These epigenetic changes appear early in lymphomagenesis and correlate with reduced gene expression, but not survival due to sample purity issues.

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Area of Science:

  • Epigenetics
  • Oncology
  • Molecular Biology

Background:

  • Follicular lymphoma (FL) is a B-cell malignancy characterized by complex genetic and epigenetic alterations.
  • Understanding DNA methylation patterns is crucial for elucidating lymphomagenesis and identifying potential therapeutic targets.

Purpose of the Study:

  • To investigate quantitative DNA methylation profiles in follicular lymphoma (FL) and compare them to benign hematopoietic samples.
  • To explore the relationship between methylation, gene expression, and the transformation of FL.
  • To assess the potential of methylation profiling for diagnostic and prognostic applications in FL.

Main Methods:

  • Quantitative methylation profiling using the Illumina GoldenGate Assay.
  • Analysis of untreated FL, paired pre- and post-transformation FL, benign hematopoietic samples, and purified B and T cells.
  • Correlation analysis between methylation values, gene expression, and clinical outcome.

Main Results:

  • Methylation profiling successfully distinguished untreated FL samples from controls, primarily due to tumor-specific methylation gains in CpG islands.
  • Hypermethylated genes were significantly enriched for targets of Polycomb Repressor Complex 2, involved in stem cell epigenetic repression.
  • Methylation profiles were conserved in sequential biopsies, suggesting early involvement in lymphomagenesis, and a significant correlation (P<0.05) was observed between methylation and reduced gene expression in up to 28% of loci.

Conclusions:

  • Widespread DNA methylation appears to be an early event in follicular lymphoma development and may not drive transformation.
  • Methylation changes are predominantly observed in B cells, and their correlation with gene expression is significant.
  • Variability in non-malignant tissue complicates the assessment of methylation's prognostic relevance, highlighting the need for purified tumor populations in future studies.