Abstract
Prostate cancer (PCa) diagnostics can be effectively addressed using sensor-based approaches. Proper selection of biomarkers to be included in biosensors for accurate detection becomes the need of the hour. Such biosensor and biochip technologies enable fast and efficient determination of proteins and provide a remarkable insight into the changes in the protein structure, such as aberrant glycosylation, which can increase the performance, sensitivity and specificity of clinic assays. However, for a thorough comprehension of such complex protein modifications, it is crucial to understand their biospecific interactions. Surface plasmon resonance (SPR), one of the most rapidly developing techniques for measuring real-time quantitative binding affinities and kinetics of the interactions of antigens and antibodies, was chosen as an appropriate tool for this purpose. Herein, experiments on the interactions of antibodies specific against different epitopes of free and complexed prostate-specific antigen (PSA), a prominent PCa biomarker, are presented with two main aims: (i) to continue as lectin glycoprofiling studies and; (ii) to be used in microfluidic immunoassay-based platforms for point-of-care devices. Various PSA-specific antibodies were covalently immobilized on the biochip surface via amine coupling, and free or complexed PSA was injected into the dual-flow channels of the SPR device. Kinetic parameters and affinity constants of these interactions, as well as cross-reactivities of the used antibodies were determined. The sandwich assay for PSA determination was developed employing both primary and secondary anti-PSA antibodies. Sensitivity of the assay was 3.63 nM−1, the detection limit was 0.27 nM and the SPR biosensor response towards free PSA was linear up to 25 nM. All these findings are essential for proper design of a selective, sensitive, and highly reliable biosensor for PCa diagnosis as a lab-on-chip device.
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Damborský, P., Madaboosi, N., Chu, V. et al. Surface plasmon resonance application in prostate cancer biomarker research. Chem. Pap. 69, 143–149 (2015). https://doi.org/10.1515/chempap-2015-0053
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DOI: https://doi.org/10.1515/chempap-2015-0053