虽然黏液蛋白1（MUC1）和前列腺干细胞抗原（PSCA）基因的表达与胃癌的发展和进展相关，但这两个基因作为胃癌预后的生物标志物的实用性在临床实践中仍需进一步确认。本研究旨在在越南人群中开发一个整合MUC1和PSCA基因的若干显著单核苷酸多态性（SNP）以及一些健康风险行为因素的胃癌预测模型。在一个病例对照研究中，总计包括302例原发性胃癌患者和304例健康人。采用广义线性模型，结合年龄、性别、吸烟和饮酒史、个人和家族胃疾病史以及MUC1和PSCA的SNP。使用受试者工作特征曲线下的面积（AUC）和AIC值评估模型的预测价值。在男性参与者中，最终模型包括年龄、性别、吸烟和饮酒史、个人和家族胃疾病史以及SNP MUC1 rs4072037，提供了可接受的鉴别度，AUC为0.6374，AIC值最低（539.53）。在女性参与者中，预测模型包括年龄、性别、吸烟和饮酒史、个人和家族胃疾病史、SNP MUC1 rs4072037和rs2070803，AUC为0.6937，AIC为266.80。男性模型的校准图大致符合理想的校准线。基于年龄、性别、医疗史以及基因和健康风险行为因素的预测模型在确定胃癌中具有很高潜力。进一步研究应明确其他基因变异，以定义高风险胃癌群体并提出适当的个性化预防。版权所有© 2023，国际抗癌研究所（George J. Delinasios博士），保留所有权利。

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.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.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.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.Copyright © 2023, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.