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PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2009-7-6
pubmed:abstractText
Renal cell carcinoma (RCC) is the most lethal urological cancer, and survival greatly depends on early diagnosis. Therefore, reliable, new biomarkers for detection of RCC are required. We assessed serum protein profiles of samples from two institutes with SELDI-TOF MS in duplicate on CM10 chips at pH 6.0 (set 1: 37 RCC + 32 healthy controls (HC), set 2: 20 RCC + 25 HC). Mean peak intensities of detected proteins were compared between RCC and HC with non-parametric testing. Classification trees were built with discriminating peaks using one sample set as training set and the other as independent validation set. We found 15 peaks significantly different (p<0.01) between RCC and HC. Two classification trees could be built with these peaks. Tree A achieved 75% sensitivity and 85% specificity for cross-validation and 76 and 65% for independent validation. Tree B had 71 and 62% sensitivity and specificity for cross-validation and 83 and 82% for independent validation. Although two serum protein profiles comprising 5 protein peaks were found that could separate RCC from HC, the sensitivity and specificity is not sufficient to recommend large scale use. Upon structural identification and quantitative validation, however, these proteins might prove suitable markers in the follow up of RCC patients.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1021-335X
pubmed:author
pubmed:issnType
Print
pubmed:volume
22
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
401-8
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Identification of two new serum protein profiles for renal cell carcinoma.
pubmed:affiliation
Atrium Medical Centre, Department of Pharmacy, 6401 CX Heerlen, The Netherlands. JEN01@atriummc.nl
pubmed:publicationType
Journal Article