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胃肿瘤动态转化的个体化风险评估。

Personalized risk assessment for dynamic transition of gastric neoplasms.

机构信息

Department of Health Industry Management, School of Healthcare Management, Kainan University, Taoyuan City, Taiwan.

Department of Internal Medicine, College of Medicine, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 10002, Taiwan.

出版信息

J Biomed Sci. 2018 Nov 19;25(1):84. doi: 10.1186/s12929-018-0485-6.

Abstract

BACKGROUND

To develop an individually-tailored dynamic risk assessment model following a multistep, multifactorial process of the Correa's gastric cancer model.

METHODS

First, we estimated the state-to-state transition rates following Correa's five-step carcinogenic model and assessed the effect of risk factors, including Helicobacter pylori infection, history of upper gastrointestinal disease, lifestyle, and dietary habits, on the step-by-step transition rates using data from a high-risk population in Matsu Islands, Taiwan. Second, we incorporated information on the gastric cancer carcinogenesis affected by genomic risk factors (including inherited susceptibility and irreversible genomic changes) based on literature to generate a genetic and epigenetic risk assessment model by using a simulated cohort identical to the Matsu population. The combination of conventional and genomic risk factors enables us to develop the personalized transition risk scores and composite scores.

RESULTS

The state-by-state transition rates per year were 0.0053, 0.7523, 0.1750, and 0.0121 per year from normal mucosa to chronic active gastritis, chronic active gastritis to atrophic gastritis, atrophic gastritis to intestinal metaplasia, and intestinal metaplasia to gastric cancer, respectively. Compared with the median risk group, the most risky decile had a 5.22-fold risk of developing gastric cancer, and the least risky decile around one-twelfth of the risk. The median 10-year risk for gastric cancer incidence was 0.77%. The median lifetime risk for gastric cancer incidence was 5.43%. By decile, the 10-year risk ranged from 0.06 to 4.04% and the lifetime risk ranged from 0.42 to 21.04%.

CONCLUSIONS

We demonstrate how to develop a personalized dynamic risk assessment model with the underpinning of Correa's cascade to stratify the population according to their risk for progression to gastric cancer. Such a risk assessment model not only facilitates the development of an individually-tailored preventive strategy with treatment for H. pylori infection and endoscopic screening but also provides short-term and long-term indicators to evaluate the program effectiveness.

摘要

背景

通过多步骤、多因素的科雷亚胃癌模型,开发一种个体化的动态风险评估模型。

方法

首先,我们根据台湾马祖群岛高危人群的数据,估算了科雷亚的五步骤致癌模型中的状态-状态转移率,并评估了幽门螺杆菌感染、上消化道疾病史、生活方式和饮食习惯等危险因素对逐步转移率的影响。其次,我们结合文献中受基因组危险因素(包括遗传易感性和不可逆转的基因组变化)影响的胃癌发生信息,通过模拟与马祖人群相同的队列,生成遗传和表观遗传风险评估模型。常规风险因素和基因组风险因素的结合使我们能够开发个性化的转移风险评分和综合评分。

结果

正常黏膜到慢性活动性胃炎、慢性活动性胃炎到萎缩性胃炎、萎缩性胃炎到肠上皮化生、肠上皮化生到胃癌的每年状态-状态转移率分别为 0.0053、0.7523、0.1750 和 0.0121。与中位数风险组相比,风险最高的十分位数发生胃癌的风险增加了 5.22 倍,风险最低的十分位数约为风险的十二分之一。胃癌发病率的中位 10 年风险为 0.77%。胃癌发病率的中位终生风险为 5.43%。按十分位数划分,10 年风险范围为 0.06%至 4.04%,终生风险范围为 0.42%至 21.04%。

结论

我们展示了如何使用科雷亚级联的原理来开发一种个体化的动态风险评估模型,根据向胃癌进展的风险对人群进行分层。这种风险评估模型不仅有助于制定针对幽门螺杆菌感染和内镜筛查的个体化预防策略,还提供了短期和长期指标来评估计划的效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/680e/6245882/86c1e896b778/12929_2018_485_Fig1_HTML.jpg

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