Integrated workflow for urinary prostate specific antigen N-glycosylation analysis
using sdAb partitioning and downstream capillary electrophoresis separation
Prostate cancer represents the second highest malignancy rate in men in all cancer
diagnoses worldwide. The development and progression of prostate cancer is not completely
understood yet at molecular level, but it has been reported that changes in the N-glycosylation
of prostate-specific antigen (PSA) occur during tumor genesis. In this paper we report
on the development and implementation of a highthroughput capillary electrophoresis
based glycan analysis workflow for urinary PSA analysis. The technology utilizes selective,
high yield single domain antibody based PSA capture, followed by preconcentration
and capillary electrophoresis coupled with laser-induced fluorescence detection, resulting
in high resolution N-glycan profiles. Urinary PSA glycan profiles were compared to
a commercially available PSA standard revealing differences in their a2,3-and a2,6-sialylated
isomers, proving the excellent selectivity of the suggested workflow. This is important
as sialylation classification plays an important role in the differentiation between
indolent, significant and aggressive forms of prostate cancer. (c) 2021 The Author(s).
Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license
(http://creativecommons.org/licenses/by-nc-nd/4.0/).