The glycosylation landscape of prostate cancer tissues and biofluids.

Advances in cancer research Pub Date : 2024-01-01 Epub Date: 2024-04-25 DOI:10.1016/bs.acr.2024.04.005
Jordan Hartig, Lyndsay E A Young, Grace Grimsley, Anand S Mehta, Joseph E Ippolito, Robin J Leach, Peggi M Angel, Richard R Drake
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Abstract

An overview of the role of glycosylation in prostate cancer (PCa) development and progression is presented, focusing on recent advancements in defining the N-glycome through glycomic profiling and glycoproteomic methodologies. Glycosylation is a common post-translational modification typified by oligosaccharides attached N-linked to asparagine or O-linked to serine or threonine on carrier proteins. These attached sugars have crucial roles in protein folding and cellular recognition processes, such that altered glycosylation is a hallmark of cancer pathogenesis and progression. In the past decade, advancements in N-glycan profiling workflows using Matrix Assisted Laser Desorption/Ionization Mass Spectrometry Imaging (MALDI-MSI) technology have been applied to define the spatial distribution of glycans in PCa tissues. Multiple studies applying N-glycan MALDI-MSI to pathology-defined PCa tissues have identified significant alterations in N-glycan profiles associated with PCa progression. N-glycan compositions progressively increase in number, and structural complexity due to increased fucosylation and sialylation. Additionally, significant progress has been made in defining the glycan and glycopeptide compositions of prostatic-derived glycoproteins like prostate-specific antigen in tissues and biofluids. The glycosyltransferases involved in these changes are potential drug targets for PCa, and new approaches in this area are summarized. These advancements will be discussed in the context of the further development of clinical diagnostics and therapeutics targeting glycans and glycoproteins associated with PCa progression. Integration of large scale spatial glycomic data for PCa with other spatial-omic methodologies is now feasible at the tissue and single-cell levels.

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前列腺癌组织和生物流体的糖基化图谱
本文概述了糖基化在前列腺癌(PCa)发生和发展中的作用,重点介绍了通过糖轮廓分析和糖蛋白组学方法确定N-糖粒的最新进展。糖基化是一种常见的翻译后修饰,其典型特征是寡糖与载体蛋白上的天冬酰胺N-连接或与丝氨酸或苏氨酸O-连接。这些连接的糖在蛋白质折叠和细胞识别过程中起着至关重要的作用,因此糖基化改变是癌症发病和进展的标志。在过去的十年中,使用基质辅助激光解吸/电离质谱成像(MALDI-MSI)技术的N-糖剖析工作流程取得了进步,可用于确定PCa组织中糖的空间分布。多项研究将 N-聚糖 MALDI-MSI 技术应用于病理学定义的 PCa 组织,发现了与 PCa 进展相关的 N-聚糖特征的显著变化。由于岩藻糖基化和硅烷基化的增加,N-糖组成的数量和结构复杂性逐渐增加。此外,在确定组织和生物流体中前列腺特异性抗原等前列腺衍生糖蛋白的聚糖和糖肽组成方面也取得了重大进展。参与这些变化的糖基转移酶是治疗 PCa 的潜在药物靶点,本报告总结了这一领域的新方法。这些进展将在进一步开发针对与 PCa 进展相关的聚糖和糖蛋白的临床诊断和治疗方法的背景下进行讨论。在组织和单细胞水平上整合 PCa 的大规模空间糖学数据和其他空间组学方法现在是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Advancements in computer vision and pathology: Unraveling the potential of artificial intelligence for precision diagnosis and beyond. Deciphering the genetic and epigenetic architecture of prostate cancer. Epigenetic regulation of androgen dependent and independent prostate cancer. Molecular landscape of prostate cancer bone metastasis. Multiplexed quantitative proteomics in prostate cancer biomarker development.
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