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  • Title: Protein profiling in human sera for identification of potential lung cancer biomarkers using antibody microarray.
    Author: Han MK, Oh YH, Kang J, Kim YP, Seo S, Kim J, Park K, Kim HS.
    Journal: Proteomics; 2009 Dec; 9(24):5544-52. PubMed ID: 20017155.
    Abstract:
    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.
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