Cancer proteomics antibody microarrays

Miller JC, Zhou H, Kwekel J, Cavallo R, Burke J, Butler EB, Teh BS, Haab BB, Antibody microarray profiling of human prostate cancer sera Antibody screening and identification of potential biomarkers, Proteomics, 3 56-63, 2003. 

Haab BB. Methods and applications of antibody microarrays in cancer research. Proteomics 2003 3(11) 2116-2122. Review. 

In this study, a machine learning model system was developed to classify cell line chemosensitivity exclusively based on proteomic profiling. Using reverse-phase protein lysate microarrays, protein expression levels were measured by 52 antibodies in a panel of 60 human cancer cell (NCI-60) lines. The model system combined several well-known algorithms, including Random forests, Relief, and the nearest neighbor methods, to construct the protein expression-based chemosensitivity classifiers. 

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