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一项使用五种胃特异性循环生物标志物进行胃癌风险评估的血清学活检:一项多阶段研究。

A Serological Biopsy Using Five Stomach-Specific Circulating Biomarkers for Gastric Cancer Risk Assessment: A Multi-Phase Study.

作者信息

Tu Huakang, Sun Liping, Dong Xiao, Gong Yuehua, Xu Qian, Jing Jingjing, Bostick Roberd M, Wu Xifeng, Yuan Yuan

机构信息

Tumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Affiliated Hospital of China Medical University, Key Laboratory of Cancer Etiology and Prevention (China Medical University), Liaoning Provincial Education Department, Shenyang, Liaoning, China.

Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

出版信息

Am J Gastroenterol. 2017 May;112(5):704-715. doi: 10.1038/ajg.2017.55. Epub 2017 Mar 21.

Abstract

OBJECTIVES

We aimed to assess a serological biopsy using five stomach-specific circulating biomarkers-pepsinogen I (PGI), PGII, PGI/II ratio, anti-Helicobacter pylori (H. pylori) antibody, and gastrin-17 (G-17)-for identifying high-risk individuals and predicting risk of developing gastric cancer (GC).

METHODS

Among 12,112 participants with prospective follow-up from an ongoing population-based screening program using both serology and gastroscopy in China, we conducted a multi-phase study involving a cross-sectional analysis, a follow-up analysis, and an integrative risk prediction modeling analysis.

RESULTS

In the cross-sectional analysis, the five biomarkers (especially PGII, the PGI/II ratio, and H. pylori sero-positivity) were associated with the presence of precancerous gastric lesions or GC at enrollment. In the follow-up analysis, low PGI levels and PGI/II ratios were associated with higher risk of developing GC, and both low (<0.5 pmol/l) and high (>4.7 pmol/l) G-17 levels were associated with higher risk of developing GC, suggesting a J-shaped association. In the risk prediction modeling analysis, the five biomarkers combined yielded a C statistic of 0.803 (95% confidence interval (CI)=0.789-0.816) and improved prediction beyond traditional risk factors (C statistic from 0.580 to 0.811, P<0.001) for identifying precancerous lesions at enrollment, and higher serological biopsy scores based on the five biomarkers at enrollment were associated with higher risk of developing GC during follow-up (P for trend <0.001).

CONCLUSIONS

A serological biopsy composed of the five stomach-specific circulating biomarkers could be used to identify high-risk individuals for further diagnostic gastroscopy, and to stratify individuals' risk of developing GC and thus to guide targeted screening and precision prevention.

摘要

目的

我们旨在评估一种血清学活检方法,该方法使用五种胃特异性循环生物标志物——胃蛋白酶原I(PGI)、胃蛋白酶原II(PGII)、PGI/II比值、抗幽门螺杆菌(H. pylori)抗体和胃泌素-17(G-17),以识别高危个体并预测患胃癌(GC)的风险。

方法

在中国一项正在进行的基于人群的筛查项目中,对12112名接受血清学和胃镜检查的前瞻性随访参与者进行了多阶段研究,包括横断面分析、随访分析和综合风险预测模型分析。

结果

在横断面分析中,这五种生物标志物(尤其是PGII、PGI/II比值和幽门螺杆菌血清阳性)与入组时癌前胃病变或GC的存在相关。在随访分析中,低PGI水平和PGI/II比值与患GC的较高风险相关,低(<0.5 pmol/l)和高(>4.7 pmol/l)G-17水平均与患GC的较高风险相关,提示呈J形关联。在风险预测模型分析中,这五种生物标志物联合使用时,C统计量为0.803(95%置信区间(CI)=0.789 - 0.816),在识别入组时的癌前病变方面,其预测能力优于传统风险因素(C统计量从0.580提高到0.811,P<0.001),且入组时基于这五种生物标志物的血清学活检评分越高,随访期间患GC的风险越高(趋势P<0.001)。

结论

由这五种胃特异性循环生物标志物组成的血清学活检可用于识别高危个体以便进一步进行诊断性胃镜检查,并对个体患GC的风险进行分层,从而指导靶向筛查和精准预防。

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