Use of CpG island microarrays to identify colorectal tumors with a high degree of concurrent methylation

Pearlly S. Yan, Thomas Efferth, Hsiao Ling Chen, Jeffrey Lin, Franz Rödel, Laszlo Fuzesi, Tim H.M. Huang

Research output: Contribution to journalArticle

49 Scopus citations

Abstract

We provide a comprehensive description of our microarray-based technique for the simultaneous detection of multiple CpG islands in cancer. Amplicons from tumor and control samples were pools of differentially methylated CpG island fragments hybridized to a panel of ∼8000 CpG island tags. Data analysis identified 694 CpG island loci hypermethylated in a group of 14 colorectal tumors. The Stanford hierarchical cluster algorithm segregated the tumors into two subgroups, one of which exhibited a high level of concurrent hypermethylation while the other had little or no methylation. This is in agreement with previous observations of a CpG island methylation phenotype present in colorectal tumors. The present study demonstrates that this microarray-based technique is useful in classifying tumors according to their methylation profiles.

Original languageEnglish (US)
Pages (from-to)162-169
Number of pages8
JournalMethods
Volume27
Issue number2
DOIs
StatePublished - 2002
Externally publishedYes

ASJC Scopus subject areas

  • Molecular Biology
  • Biochemistry, Genetics and Molecular Biology(all)

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