Details

Autor(en) / Beteiligte

• Vermassen, Tijl
• De Bruyne, Sander
• Himpe, Jonas
• Lumen, Nicolaas
• Callewaert, Nico
• Rottey, Sylvie
• Delanghe, Joris

Titel

N-Linked Glycosylation and Near-Infrared Spectroscopy in the Diagnosis of Prostate Cancer

Ist Teil von

• International journal of molecular sciences, 2019-03, Vol.20 (7), p.1592

Ort / Verlag

Switzerland: MDPI AG

Erscheinungsjahr

2019

Link zum Volltext

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• 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. Tissue specimens from 100 patients (benign prostate hyperplasia (BPH), = 50; and PCa, = 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. 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 < 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 ( = 0.0042 and = 0.0195). 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.