Linked Life Data

20017155

Source:http://linkedlifedata.com/resource/pubmed/id/20017155

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
24
pubmed:dateCreated
2009-12-22
pubmed:abstractText
To identify potential biomarkers of lung cancer (LC), profiling of proteins in sera obtained from healthy and LC patients was determined using an antibody microarray. Based on our previous study on mRNA expression profiles between patients with LC and healthy persons, 19 proteins of interest were selected as targets for fabrication of an antibody microarray. Antibody to each protein and five nonspecific control antibodies were spotted onto a hydrogel-coated glass slide and used for profiling of proteins in sera of LC patients in a two-color fluorescence assay. Forty-eight human sera samples were analyzed, and expression profiling of proteins were represented by the internally normalized ratio method. Six proteins were distinctly down-regulated in sera of LC patients; this observation was validated by Wilcoxon test, false discovery rate, and Western blotting. Blind test of other 32 human sera using the antibody microarray followed by hierarchical clustering analysis revealed an approximate sensitivity of 88%, specificity of 80%, and an accuracy of 84%, respectively, in classifying the sera, which supports the potential of the six identified proteins as biomarkers for the prognosis of lung cancer.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1615-9861
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
5544-52
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Protein profiling in human sera for identification of potential lung cancer biomarkers using antibody microarray.
pubmed:affiliation
Department of Biological Sciences, KAIST, Daejeon, Korea.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Validation Studies