Antibodies against autologous tumor-associated antigens have been demonstrated as being useful biomarkers for early cancer diagnosis and prognosis. They have several advantages such as long half-life (7–30 days depending on subtiter of Ig), inherent stability in patients’ blood due to not being subjected to proteolysis, well-studied biochemical properties, and their easy detections via secondary antibodies or antigens. Moreover, they can be easily screened in the serum using a noninvasive approach. Consequently, many technical approaches have been developed to study autoantibodies. We used serological proteome analysis (SERPA) for analyzing antibodies in pancreatic cancer patients’ sera, and the technique will be discussed in detail. SERPA has several advantages over other approaches currently used such as SEREX (serological analysis of tumor antigens by recombinant cDNA expression cloning) and phage display. SEREX involves the construction of a lambda phage cDNA library from tumor samples to infect bacteria. While library construction is a quite laborious and time-consuming procedure in SEREX, detection of posttranslational modifications that could be fundamental for antibody recognition is a major limitation of both SEREX and phage display techniques. SERPA avoids the time-consuming construction of cDNA libraries. In addition, since it does not rely on bacterial expression of antigens, antigens will have their usual posttranslational modifications preventing false-positive or -negative results in autoantibody profiling.
Discovery of Targets for Cancer Immunoprevention
Cappello P.;Bulfamante S.;Mandili G.;Novelli F.
2022-01-01
Abstract
Antibodies against autologous tumor-associated antigens have been demonstrated as being useful biomarkers for early cancer diagnosis and prognosis. They have several advantages such as long half-life (7–30 days depending on subtiter of Ig), inherent stability in patients’ blood due to not being subjected to proteolysis, well-studied biochemical properties, and their easy detections via secondary antibodies or antigens. Moreover, they can be easily screened in the serum using a noninvasive approach. Consequently, many technical approaches have been developed to study autoantibodies. We used serological proteome analysis (SERPA) for analyzing antibodies in pancreatic cancer patients’ sera, and the technique will be discussed in detail. SERPA has several advantages over other approaches currently used such as SEREX (serological analysis of tumor antigens by recombinant cDNA expression cloning) and phage display. SEREX involves the construction of a lambda phage cDNA library from tumor samples to infect bacteria. While library construction is a quite laborious and time-consuming procedure in SEREX, detection of posttranslational modifications that could be fundamental for antibody recognition is a major limitation of both SEREX and phage display techniques. SERPA avoids the time-consuming construction of cDNA libraries. In addition, since it does not rely on bacterial expression of antigens, antigens will have their usual posttranslational modifications preventing false-positive or -negative results in autoantibody profiling.
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