A Pilot Study for the Use of Random Peptide Arrays for Biomarker Discovery in Breast Cancer

Autoantibodies against tumor associated antigens (TAA) are considered to be potent biomarkers for cancer. The identification of patterns of autoantibody reactivity towards multiple TAAs can increase sensitivity of diagnostic assays. Due to the number of >1700 proteins suspected to be potential biomarkers and the frequency of sequence variations in such proteins a comprehensive screening approach seems difficult. This application note demonstrates how diverse random peptide libraries can be used as an alternative to knowledge based peptide libraries.