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N-聚糖生物标志物作为早期胰腺癌的潜在诊断生物标志物。

N-glycan biosignatures as a potential diagnostic biomarker for early-stage pancreatic cancer.

作者信息

Wen Yan-Rong, Lin Xia-Wen, Zhou Yu-Wen, Xu Lei, Zhang Jun-Li, Chen Cui-Ying, He Jian

机构信息

Department of Nuclear Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, Jiangsu Province, China.

Department of Research and Development, Sysdiagno (Nanjing) Biotech Co., Ltd, Nanjing 210008, Jiangsu Province, China.

出版信息

World J Gastrointest Oncol. 2024 Mar 15;16(3):659-669. doi: 10.4251/wjgo.v16.i3.659.

DOI:10.4251/wjgo.v16.i3.659
PMID:38577461
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10989390/
Abstract

BACKGROUND

Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis, with a 5-year survival rate of less than 10%, owing to its late-stage diagnosis. Early detection of pancreatic cancer (PC) can significantly increase survival rates.

AIM

To identify the serum biomarker signatures associated with early-stage PDAC by serum N-glycan analysis.

METHODS

An extensive patient cohort was used to determine a biomarker signature, including patients with PDAC that was well-defined at an early stage (stages I and II). The biomarker signature was derived from a case-control study using a case-cohort design consisting of 29 patients with stage I, 22 with stage II, 4 with stage III, 16 with stage IV PDAC, and 88 controls. We used multiparametric analysis to identify early-stage PDAC N-glycan signatures and developed an N-glycan signature-based diagnosis model called the "Glyco-model".

RESULTS

The biomarker signature was created to discriminate samples derived from patients with PC from those of controls, with a receiver operating characteristic area under the curve of 0.86. In addition, the biomarker signature combined with cancer antigen 19-9 could discriminate patients with PDAC from controls, with a receiver operating characteristic area under the curve of 0.919. Glyco-model demonstrated favorable diagnostic performance in all stages of PC. The diagnostic sensitivity for stage I PDAC was 89.66%.

CONCLUSION

In a prospective validation study, this serum biomarker signature may offer a viable method for detecting early-stage PDAC.

摘要

背景

胰腺导管腺癌(PDAC)预后较差,由于其诊断较晚,5年生存率低于10%。早期发现胰腺癌(PC)可显著提高生存率。

目的

通过血清N-聚糖分析确定与早期PDAC相关的血清生物标志物特征。

方法

使用一个广泛的患者队列来确定生物标志物特征,包括早期(I期和II期)明确诊断的PDAC患者。该生物标志物特征来自一项病例对照研究,采用病例队列设计,包括29例I期、22例II期、4例III期、16例IV期PDAC患者以及88例对照。我们使用多参数分析来识别早期PDAC的N-聚糖特征,并开发了一种基于N-聚糖特征的诊断模型,称为“糖模型”。

结果

创建的生物标志物特征能够区分PC患者和对照的样本,曲线下面积为0.86。此外,该生物标志物特征与癌抗原19-9相结合能够区分PDAC患者和对照,曲线下面积为0.919。糖模型在PC的各个阶段均表现出良好的诊断性能。I期PDAC的诊断敏感性为89.66%。

结论

在前瞻性验证研究中,这种血清生物标志物特征可能为检测早期PDAC提供一种可行的方法。

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