N-Linked Glycosylation and Near-Infrared Spectroscopy in the Diagnosis of Prostate Cancer
Open Access
- 29 March 2019
- journal article
- research article
- Published by MDPI AG in International Journal of Molecular Sciences
- Vol. 20 (7) , 1592
Abstract
Background: Performing a prostate biopsy is the most robust and reliable way to diagnose prostate cancer (PCa), and to determine the disease grading. As little to no biochemical markers for prostate tissue exist, we explored the possibilities of tissue N-glycosylation and near-infrared spectroscopy (NIR) in PCa diagnosis. Methods: Tissue specimens from 100 patients (benign prostate hyperplasia (BPH), n = 50; and PCa, n = 50) were obtained. The fresh-frozen tissue was dispersed and a tissue N-glycosylation profile was determined. Consequently, the formalin-fixed paraffin-embedded slides were analyzed using NIR spectroscopy. A comparison was made between the benign and malignant tissue, and between the various Gleason scores. Results: A difference was observed for the tissue of N-glycosylation between the benign and malignant tissue. These differences were located in the fycosylation ratios and the total amount of bi- and tetra-antennary structures (all p < 0.0001). These differences were also present between various Gleason scores. In addition, the NIR spectra revealed changes between the benign and malignant tissue in several regions. Moreover, spectral ranges of 1055–1065 nm and 1450–1460 nm were significantly different between the Gleason scores (p = 0.0042 and p = 0.0195). Conclusions: We have demonstrated biochemical changes in the N-glycan profile of prostate tissue, which allows for the distinction between malignant and benign tissue, as well as between various Gleason scores. These changes can be correlated to the changes observed in the NIR spectra. This could possibly further improve the histological assessment of PCa diagnosis, although further method validation is needed.Keywords
Funding Information
- Universitair Ziekenhuis Gent (Clinical research fund)
This publication has 32 references indexed in Scilit:
- Possibility of using near infrared irradiation for early cancer diagnosisElectromagnetic Biology and Medicine, 2013
- Tumour markers in prostate cancer II: Diagnostic and prognostic cellular biomarkersActa Oncologica, 2011
- An effective classification procedure for diagnosis of prostate cancer in near infrared spectraExpert Systems with Applications, 2010
- Investigating FTIR based histopathology for the diagnosis of prostate cancerJournal of Biophotonics, 2009
- FTIR-based spectroscopic analysis in the identification of clinically aggressive prostate cancerBritish Journal of Cancer, 2008
- Cancer Diagnosis by Discrimination between Normal and Malignant Human Blood Samples Using Attenuated Total Reflectance-Fourier Transform Infrared SpectroscopyCancer Investigation, 2007
- A Correlation of FTIR Spectra Derived from Prostate Cancer Biopsies with Gleason Grade and Tumour StageEuropean Urology, 2006
- Infrared spectroscopy used to evaluate glycosylation of proteinsAnalytical Biochemistry, 2006
- Applications of Fourier transform infrared microspectroscopy in studies of benign prostate and prostate cancer. A pilot studyThe Journal of Pathology, 2003
- The Role of Constant Region Carbohydrate in the Assembly and Secretion of Human IgD and IgA1Journal of Biological Chemistry, 2002