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Article

Glycosylation in Indolent, Significant and Aggressive Prostate Cancer by Automated High-Throughput N-Glycan Profiling

1
School of Biotechnology, Dublin City University, D09 V209 Dublin 9, Ireland
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National Centre for Sensor Research, Biomedical Diagnostics Institute, Dublin City University, D09 V209 Dublin 9, Ireland
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Department of Mathematics and Statistics, Maynooth University, Maynooth, W23 F2K8 Co. Kildare, Ireland
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NIBRT GlycoScience Group, National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, A94 X099 Co. Dublin, Ireland
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Department of Biochemistry and Molecular Biology, Faculty of Medicine, Nursing and Health Science, Monash University, Melbourne, VIC 3800, Australia
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UCD School of Mathematics and Statistics, University College Dublin, D04 V1W8 Dublin 4, Ireland
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Conway Institute of Biomolecular and Biomedical Research, University College Dublin, D04 V1W8 Dublin 4, Ireland
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UCD School of Medicine, College of Health and Agricultural Science, University College Dublin, D04 V1W8 Dublin 4, Ireland
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Research, Development and Innovation, Qatar Foundation, Luqta Street, Doha 5825, Qatar
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Bioprocessing Technology Institute, 20 Biopolis Way, #06-01 Centros, Singapore 138668, Singapore
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2020, 21(23), 9233; https://doi.org/10.3390/ijms21239233
Received: 22 October 2020 / Revised: 25 November 2020 / Accepted: 28 November 2020 / Published: 3 December 2020
(This article belongs to the Special Issue Glycobiology of Cancer)
The diagnosis and treatment of prostate cancer (PCa) is a major health-care concern worldwide. This cancer can manifest itself in many distinct forms and the transition from clinically indolent PCa to the more invasive aggressive form remains poorly understood. It is now universally accepted that glycan expression patterns change with the cellular modifications that accompany the onset of tumorigenesis. The aim of this study was to investigate if differential glycosylation patterns could distinguish between indolent, significant, and aggressive PCa. Whole serum N-glycan profiling was carried out on 117 prostate cancer patients’ serum using our automated, high-throughput analysis platform for glycan-profiling which utilizes ultra-performance liquid chromatography (UPLC) to obtain high resolution separation of N-linked glycans released from the serum glycoproteins. We observed increases in hybrid, oligomannose, and biantennary digalactosylated monosialylated glycans (M5A1G1S1, M8, and A2G2S1), bisecting glycans (A2B, A2(6)BG1) and monoantennary glycans (A1), and decreases in triantennary trigalactosylated trisialylated glycans with and without core fucose (A3G3S3 and FA3G3S3) with PCa progression from indolent through significant and aggressive disease. These changes give us an insight into the disease pathogenesis and identify potential biomarkers for monitoring the PCa progression, however these need further confirmation studies. View Full-Text
Keywords: prostate cancer; biomarkers; glycosylation; indolent; aggressive; significant prostate cancer; biomarkers; glycosylation; indolent; aggressive; significant
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MDPI and ACS Style

Gilgunn, S.; Murphy, K.; Stöckmann, H.; Conroy, P.J.; Murphy, T.B.; Watson, R.W.; O’Kennedy, R.J.; Rudd, P.M.; Saldova, R. Glycosylation in Indolent, Significant and Aggressive Prostate Cancer by Automated High-Throughput N-Glycan Profiling. Int. J. Mol. Sci. 2020, 21, 9233. https://doi.org/10.3390/ijms21239233

AMA Style

Gilgunn S, Murphy K, Stöckmann H, Conroy PJ, Murphy TB, Watson RW, O’Kennedy RJ, Rudd PM, Saldova R. Glycosylation in Indolent, Significant and Aggressive Prostate Cancer by Automated High-Throughput N-Glycan Profiling. International Journal of Molecular Sciences. 2020; 21(23):9233. https://doi.org/10.3390/ijms21239233

Chicago/Turabian Style

Gilgunn, Sarah, Keefe Murphy, Henning Stöckmann, Paul J. Conroy, T. Brendan Murphy, R. William Watson, Richard J. O’Kennedy, Pauline M. Rudd, and Radka Saldova. 2020. "Glycosylation in Indolent, Significant and Aggressive Prostate Cancer by Automated High-Throughput N-Glycan Profiling" International Journal of Molecular Sciences 21, no. 23: 9233. https://doi.org/10.3390/ijms21239233

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