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用于胃癌检测和监测的非侵入性聚糖生物标志物的发现

Discovery of Non-invasive Glycan Biomarkers for Detection and Surveillance of Gastric Cancer.

作者信息

Qin Ruihuan, Zhao Junjie, Qin Wenjun, Zhang Zejian, Zhao Ran, Han Jing, Yang Yupeng, Li Lixiao, Wang Xuefei, Ren Shifang, Sun Yihong, Gu Jianxin

机构信息

Key Laboratory of Glycoconjugate Research Ministry of Public Health, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.

Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China.

出版信息

J Cancer. 2017 Jul 3;8(10):1908-1916. doi: 10.7150/jca.17900. eCollection 2017.

Abstract

Gastric cancer (GC), one of the world's top five most common cancers, is the third leading cause of cancer related death. It is urgent to identify non-invasive biomarkers for GC. The objective of our study was to find out non-invasive biomarkers for early detection and surveillance of GC based on glycomic analysis. Ethyl esterification derivatization combined with MALDI-TOF MS analysis was employed for the comprehensive serum glycomic analysis in order to investigate glycan markers that would indicate the onset and progression of gastric cancer. Upon the discovery of the candidate biomarkers, those with great potential were further validated in an independent test set. Peaks were acquired by the software of MALDI-MS sample acquisition and processing and analyzed by the software of Progenesis MALDI. 
 The differences in glycosylation were found between non-cancer controls and gastric cancer samples: hybrid and multi-branched type (tri-, tetra-antennnary glycans) N-glycans were increased in GC, yet monoantennary, galactose, bisecting type and core fucose N-glycans were decreased. In training set, core fucose (AUC=0.923, 95%CI: 0.8485 to 0.9967) played an excellent diagnostic performance for the early detection of gastric cancer. The diagnostic potential of core fucose was further validated in an independent cohort (AUC=0.854, 95%CI: 0.7592 to 0.9483). Besides, several individual glycan structures reached both statistical criteria (p-values less than 0.05 and AUC scores that were at least moderately accurate) when comparing different stages of GC samples. We comprehensively evaluate the serum glycan changes in different stages of GC patients including peritoneal metastasis for the first time. We determined several N-glycan biomarkers, some of these have potential in distinguishing the early stage GC from healthy controls, and the others can help to monitor the progression of GC. The findings also enhance understanding of gastric cancer.

摘要

胃癌(GC)是全球五大最常见癌症之一,是癌症相关死亡的第三大主要原因。识别胃癌的非侵入性生物标志物迫在眉睫。我们研究的目的是基于糖组学分析找出用于胃癌早期检测和监测的非侵入性生物标志物。采用乙酯化衍生化结合基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)分析进行全面的血清糖组学分析,以研究可指示胃癌发生和进展的聚糖标志物。在发现候选生物标志物后,将具有巨大潜力的标志物在独立测试集中进一步验证。通过MALDI-MS样品采集和处理软件获取峰,并由Progenesis MALDI软件进行分析。在非癌对照和胃癌样品之间发现了糖基化差异:杂合型和多分支型(三、四天线聚糖)N-聚糖在胃癌中增加,而单天线、半乳糖、平分型和核心岩藻糖基化N-聚糖减少。在训练集中,核心岩藻糖(AUC=0.923,95%CI:0.8485至0.9967)在胃癌早期检测中具有出色的诊断性能。核心岩藻糖的诊断潜力在独立队列中进一步得到验证(AUC=0.854,95%CI:0.7592至0.9483)。此外,在比较胃癌不同阶段的样品时,几个单独的聚糖结构达到了两个统计标准(p值小于0.05且AUC分数至少具有中等准确性)。我们首次全面评估了包括腹膜转移在内的胃癌患者不同阶段的血清聚糖变化。我们确定了几种N-聚糖生物标志物,其中一些在区分早期胃癌与健康对照方面具有潜力,而其他一些则有助于监测胃癌的进展。这些发现也增进了对胃癌的了解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51f3/5556655/a1f3d7e80be7/jcav08p1908g001.jpg

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