基于越南人群中多态性和健康风险行为的胃癌风险预测模型。
A Model for Gastric Cancer Risk Prediction Based on Polymorphisms and Health-risk Behaviors in a Vietnamese Population.
机构信息
Hanoi Medical University Hospital, Hanoi Medical University, Hanoi, Vietnam.
Hanoi Medical University Hospital, Hanoi Medical University, Hanoi, Vietnam;
出版信息
In Vivo. 2023 Sep-Oct;37(5):2347-2356. doi: 10.21873/invivo.13339.
BACKGROUND/AIM: Although the expression of mucin 1(MUC1) and prostate stem cell antigen (PSCA) genes is correlated with gastric cancer development and progression, the utility of these two genes as biomarkers of gastric cancer prognosis still needs to be confirmed in clinical practice. This study aimed to develop a model predictive of gastric cancer that integrates several significant single nucleotide polymorphisms (SNPs) of MUC1 and PSCA genes, and some health-risk behavior factors in a Vietnamese population.
PATIENTS AND METHODS
A total of 302 patients with primary gastric carcinoma and 304 healthy persons were included in a case-control study. The generalized linear model was used with the profile of age, sex, history of smoking and using alcohol, personal and family medical history of stomach diseases, and the SNPs of MUC1 and PSCA. The prognostic value of the model was assessed by the area under a receiver operating characteristic curve (AUC) and Akaike Information Criterion (AIC) values.
RESULTS
In male participants, the final model, consisting of age, sex, history of smoking and using alcohol, personal and family medical history of stomach diseases and SNP MUC1 rs4072037, provided acceptable discrimination, with an AUC of 0.6374 and the lowest AIC value (539.53). In female participants, the predictive model including age, sex, history of smoking and using alcohol, personal and family medical history of stomach diseases, SNPs MUC1 rs4072037 and rs2070803 had an AUC of 0.6937 and AIC of 266.80. The calibration plots of the male model approximately fitted the ideal calibration line.
CONCLUSION
The predictive model based on age, sex, medical history, and genetic and health-risk behavior factors has a high potential in determining gastric cancer. Further studies that elucidate other genetic variants should be carried out to define high-risk gastric cancer groups and propose appropriate personalized prevention.
背景/目的：尽管黏蛋白 1（MUC1）和前列腺干细胞抗原（PSCA）基因的表达与胃癌的发生和发展相关，但这两个基因作为胃癌预后生物标志物的实用性仍需要在临床实践中得到证实。本研究旨在建立一种预测模型，整合了越南人群中 MUC1 和 PSCA 基因的几个重要单核苷酸多态性（SNP）以及一些健康风险行为因素。
患者与方法
一项病例对照研究纳入了 302 例原发性胃癌患者和 304 名健康对照者。采用广义线性模型，结合年龄、性别、吸烟和饮酒史、个人和家族胃病史以及 MUC1 和 PSCA 的 SNP 构建模型。通过接受者操作特征曲线（AUC）和赤池信息量准则（AIC）值评估模型的预后价值。
结果
在男性参与者中，最终模型由年龄、性别、吸烟和饮酒史、个人和家族胃病史以及 SNP MUC1 rs4072037 组成，具有可接受的判别能力，AUC 为 0.6374，AIC 值最低（539.53）。在女性参与者中，包含年龄、性别、吸烟和饮酒史、个人和家族胃病史、SNP MUC1 rs4072037 和 rs2070803 的预测模型具有 0.6937 的 AUC 和 266.80 的 AIC。男性模型的校准图大致符合理想的校准线。
结论
基于年龄、性别、病史以及遗传和健康风险行为因素的预测模型在确定胃癌方面具有很大的潜力。应开展进一步的研究阐明其他遗传变异，以确定高危胃癌人群，并提出适当的个体化预防措施。
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