Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, Kentucky.
Markey Cancer Center, Lexington, Kentucky.
Mol Cancer Res. 2021 Oct;19(10):1727-1738. doi: 10.1158/1541-7786.MCR-20-0967. Epub 2021 Jun 15.
Prostate cancer is the most common cancer in men worldwide. Despite its prevalence, there is a critical knowledge gap in understanding factors driving disparities in survival among different cohorts of patients with prostate cancer. Identifying molecular features separating disparate populations is an important first step in prostate cancer research that could lead to fundamental hypotheses in prostate biology, predictive biomarker discovery, and personalized therapy. N-linked glycosylation is a cotranslational event during protein folding that modulates a myriad of cellular processes. Recently, aberrant N-linked glycosylation has been reported in prostate cancers. However, the full clinical implications of dysregulated glycosylation in prostate cancer has yet to be explored. Herein, we performed direct on-tissue analysis of N-linked glycans using matrix-assisted laser desorption ionization-mass spectrometry imaging (MALDI-MSI) from tissue microarrays of over 100 patient tumors with over 10 years of follow-up metadata. We successfully identified a panel of N-glycans that are unique between benign and prostate tumor tissue. Specifically, high-mannose as well as tri-and tetra-antennary N-glycans were more abundant in tumor tissue and increase proportionally with tumor grade. Further, we expanded our analyses to examine the N-glycan profiles of Black and Appalachian patients and have identified unique glycan signatures that correlate with recurrence in each population. Our study highlights the potential applications of MALDI-MSI for digital pathology and biomarker discovery for prostate cancer. IMPLICATIONS: MALDI-MSI identifies N-glycan perturbations in prostate tumors compared with benign tissue. This method can be utilized to predict prostate cancer recurrence and study prostate cancer disparities.
前列腺癌是全球男性最常见的癌症。尽管其发病率很高,但对于导致不同队列前列腺癌患者生存差异的因素,人们的了解仍存在重大知识空白。确定将不同人群区分开来的分子特征是前列腺癌研究的重要第一步,它可能导致前列腺生物学的基本假设、预测生物标志物的发现和个性化治疗。N 连接糖基化是蛋白质折叠过程中的共翻译事件,可调节多种细胞过程。最近,已有研究报道前列腺癌中存在异常的 N 连接糖基化。然而,糖基化失调在前列腺癌中的全部临床意义尚未得到探索。在此,我们使用基质辅助激光解吸电离 - 质谱成像(MALDI-MSI),对超过 100 例患者肿瘤的组织微阵列进行了直接的组织内分析,这些肿瘤的组织微阵列具有超过 10 年的随访元数据。我们成功鉴定了一组存在于良性和前列腺肿瘤组织之间的独特 N-聚糖。具体来说,高甘露糖以及三天线和四天线 N-聚糖在肿瘤组织中更为丰富,且随着肿瘤分级而呈比例增加。此外,我们扩展了分析,以检查黑人和阿巴拉契亚患者的 N-聚糖谱,并鉴定出与每个群体复发相关的独特聚糖特征。我们的研究强调了 MALDI-MSI 在前列腺癌数字病理学和生物标志物发现中的潜在应用。意义:MALDI-MSI 可识别前列腺肿瘤与良性组织之间的 N-聚糖扰动。这种方法可用于预测前列腺癌复发并研究前列腺癌的差异。