Original Article

Leukemia (2009) 23, 1858–1866; doi:10.1038/leu.2009.114; published online 9 July 2009

Lymphoma

Array-based DNA methylation profiling in follicular lymphoma

C O'Riain1, D M O'Shea1, Y Yang1, R Le Dieu1, J G Gribben1, K Summers1, J Yeboah-Afari2, L Bhaw-Rosun2, C Fleischmann2, C A Mein2, T Crook3, P Smith3, G Kelly4, A Rosenwald5, G Ott5,6, E Campo7, L M Rimsza8, E B Smeland9,10, W C Chan11, N Johnson12, R D Gascoyne12, S Reimer13, R M Braziel13, G W Wright14, L M Staudt14, T A Lister1 and J Fitzgibbon1

  1. 1Centre for Medical Oncology, Barts and the London School of Medicine and Dentistry, Institute of Cancer, London, UK
  2. 2Genome Centre, Queen Mary School of Medicine and Dentistry, London, UK
  3. 3Cancer Genetics and Epigenetics, Institute for Cancer Research, London, UK
  4. 4Bioinformatics and Biostatistics, Cancer Research UK, Lincoln's Inn Fields, London, UK
  5. 5Institute of Pathology, University of Würzburg, Würzburg, Germany
  6. 6Department of Clinical Pathology, Robert-Bosch-Krankenhaus, Stuttgart, Germany
  7. 7Department of Pathology, Hospital Clinic, University of Barcelona, Barcelona, Spain
  8. 8Department of Pathology, University of Arizona Cancer Centre, Tucson, AZ, USA
  9. 9Department of Immunology, Institute for Cancer Research, Rikshospitalet University Hospital, Oslo, Norway
  10. 10Faculty Division, Centre for Cancer Biomedicine, Norwegian Radium Hospital, University of Oslo, Oslo, Norway
  11. 11Department of Pathology, University of Nebraska Medical Centre, Omaha, NE, USA
  12. 12Department of Pathology, British Columbia Cancer Centre, Vancouver, British Columbia, Canada
  13. 13Department of Pathology, Oregon Health and Science University, Portland, OR, USA
  14. 14Metabolism Branch, National Cancer Institute, Bethesda, MD, USA

Correspondence: Dr C O'Riain, Centre for Medical Oncology, Barts and the London School of Medicine and Dentistry, Institute of Cancer, 3rd Floor John Vane Science Building, Charterhouse Square, London EC1M 6BQ, UK. E-mail: c.l.oriain@qmul.ac.uk

Received 24 October 2008; Revised 2 April 2009; Accepted 17 April 2009; Published online 9 July 2009.

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Abstract

Quantitative methylation profiling was performed using the Illumina GoldenGate Assay in untreated follicular lymphoma (FL) (164), paired pre- and post-transformation FL (20), benign haematopoietic (24) samples and purified B and T cells from two FL cases. Methylation values allowed separation of untreated FL samples from controls with one exception, based primarily on tumour-specific gains of methylation typically occurring within CpG islands. Genes that are targets for epigenetic repression in stem cells by Polycomb Repressor Complex 2 were significantly over-represented among hypermethylated genes. Methylation profiles were conserved in sequential FL and t-FL biopsies, suggesting that widespread methylation represents an early event in lymphomagenesis and may not contribute substantially to transformation. A significant (P<0.05) correlation between FL methylation values and reduced gene expression was shown for up to 28% of loci. Methylation changes occurred predominantly in B cells with variability in the amount of non-malignant tissue between samples preventing conclusive correlation with survival. This represents an important caveat in attributing prognostic relevance to methylation and future studies in cancer will optimally require purified tumour populations to address the impact of methylation on clinical outcome.

Keywords:

methylation, follicular lymphoma, gene expression, polycomb, transformation

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