Targeting the stage-specific embryonic antigen (SSEA)-0 tumor neoantigen.

Q4 Medicine

Current Trends in Immunology Pub Date : 2023-01-01

Denong Wang

引用次数: 0

Abstract

Recognition of abnormal glycosylation in virtually any cancer type has raised a great interest in the glycan-based tumor biomarkers. Our team explored carbohydrate microarrays as a broad-spectrum immunoassay to probe the immunologically potent tumor glycan targets. This effort has led to the identification of a blood group precursor antigen SSEA-0 as a conserved breast cancer (BCA) marker. Since this immunogenic O-core glycan is normally hidden as a cryptic antigen but becomes overexpressed and surface-exposed by metastatic breast cancer cells (MBCA), its potential as a novel immunological target for precision immunotherapy against tumor metastasis warrants a focused investigation.

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靶向阶段特异性胚胎抗原（SSEA）-0 肿瘤新抗原。

几乎所有癌症类型都存在糖基化异常，这引起了人们对基于聚糖的肿瘤生物标记物的极大兴趣。我们的团队探索将碳水化合物微阵列作为一种广谱免疫测定，以探查具有免疫效力的肿瘤糖靶标。通过这项研究，我们发现血型前体抗原 SSEA-0 是一种保守的乳腺癌（BCA）标志物。由于这种具有免疫原性的 O 型核心聚糖通常作为隐性抗原隐藏起来，但转移性乳腺癌细胞（MBCA）会使其过度表达并暴露在表面，因此其作为针对肿瘤转移的精准免疫疗法的新型免疫靶点的潜力值得重点研究。

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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来源期刊

Current Trends in Immunology Medicine-Immunology and Allergy

CiteScore

0.30

自引率

0.00%

发文量

期刊介绍： Computers and Electronics in Agriculture provides international coverage of advances in the development and application of computer hardware, software, electronic instrumentation, and control systems for solving problems in agriculture, including agronomy, horticulture (in both its food and amenity aspects), forestry, aquaculture, and animal/livestock farming. The journal publishes original papers, reviews, and applications notes on topics pertaining to advances in the use of computers or electronics in plant or animal agricultural production, including agricultural soils, water, pests, controlled environments, structures, and wastes, as well as the plants and animals themselves. Post-harvest operations considered part of agriculture (such as drying, storage, logistics, production assessment, trimming and separation of plant and animal material) are also covered. Relevant areas of technology include artificial intelligence, sensors, machine vision, robotics, networking, and simulation modelling.