Use of CpG island microarrays to identify colorectal tumors with a high degree of concurrent methylation.
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 approximately 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.
Yan
Pearlly S
PS
Department of Pathology and Anatomical Sciences, Ellis Fischel Cancer Center, University of Missouri School of Medicine, Columbia, MO 65203, USA.
Efferth
Thomas
T
Chen
Hsiao-Ling
HL
Lin
Jeffrey
J
Rödel
Franz
F
Fuzesi
Laszlo
L
Huang
Tim H-M
TH
D000465:Algorithms; D015179:Colorectal Neoplasms / Q000175:diagnosis* / Q000235:genetics; D018899:CpG Islands; D019175:DNA Methylation; D015342:DNA Probes; D004273:DNA, Neoplasm / Q000378:metabolism; D005456:Fluorescent Dyes; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D016133:Polymerase Chain Reaction / Q000379:methods
D015342:DNA Probes; D004273:DNA, Neoplasm; D005456:Fluorescent Dyes