Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2002-2-25
pubmed:abstractText
Aberrant DNA methylation of CpG sites is among the earliest and most frequent alterations in cancer. Several studies suggest that aberrant methylation occurs in a tumour type-specific manner. However, large-scale analysis of candidate genes has so far been hampered by the lack of high throughput assays for methylation detection. We have developed the first microarray-based technique which allows genome-wide assessment of selected CpG dinucleotides as well as quantification of methylation at each site. Several hundred CpG sites were screened in 76 samples from four different human tumour types and corresponding healthy controls. Discriminative CpG dinucleotides were identified for different tissue type distinctions and used to predict the tumour class of as yet unknown samples with high accuracy using machine learning techniques. Some CpG dinucleotides correlate with progression to malignancy, whereas others are methylated in a tissue-specific manner independent of malignancy. Our results demonstrate that genome-wide analysis of methylation patterns combined with supervised and unsupervised machine learning techniques constitute a powerful novel tool to classify human cancers.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-10334105, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-10344734, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-10424731, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-10521349, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-10618406, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-10655057, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-10676951, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-10700163, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-10734209, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-10778974, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-10802939, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-1093816, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-11309270, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-1542678, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-1974172, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-6185846, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-8104532, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-8472313, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-8653676, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-8790415, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-9016686, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-9097976, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-9354788, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-9799591, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-9862956, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-9915496, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-9915497, http://linkedlifedata.com/resource/pubmed/commentcorrection/11861926-9949205
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1362-4962
pubmed:author
pubmed:issnType
Electronic
pubmed:day
1
pubmed:volume
30
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
e21
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2002
pubmed:articleTitle
Tumour class prediction and discovery by microarray-based DNA methylation analysis.
pubmed:affiliation
Information Sciences, Biomedical Research and Development, Epigenomics AG, Berlin, Germany.
pubmed:publicationType
Journal Article