早期胃癌预测模型对胃癌高危人群疾病进展的预测价值

Predictive value of early gastric cancer model for disease progression in high-risk populations

  • 摘要:
    目的 分析基于幽门螺杆菌(helicobacter pylori,Hp)状态与外周血胃蛋白酶原I(pepsinogen Ⅰ,PGⅠ)、PGⅡ、胃泌素-17(gastrin-17,G-17)水平组成的预测模型对于胃癌高危人群疾病进展的预测价值。
    方法 回顾性选取2023年1月至2024年1月于天津大学津南医院完善PGⅠ、PGⅡ、G-17、C14尿素呼气试验和胃镜取组织病理活检的126例胃癌高危人群临床资料,根据胃镜取组织病理活检结果将胃癌高危人群分为对照组、癌前病变组、早期胃癌组,比较各组患者PGⅠ、PGⅡ、G-17、C14尿素呼气试验等指标的诊断效能,并构建预测模型。
    结果 早期胃癌组Hp阳性率为82.35%、PGⅡ为22.73 ng/mL均高于癌前病变组、对照组,PGⅠ为51.36 ng/mL低于癌前病变组、对照组,癌前病变组G-17为5.17 pmoL/L低于对照组、早期胃癌组(P<0.05)。PGⅠ、PGⅡ、G-17与Hp联合时,其受试者工作特征(receiver operating curve,ROC)曲线下面积(area under curve,AUC)可达到0.899,敏感度为94.12%,特异度为95.65%,对胃癌的诊断效能最为理想。根据预测模型,癌前病变分值界限为10分,早期癌症的临界值为19分。
    结论 对胃癌高危人群实施C14尿素呼气试验与PGⅠ、PGⅡ、G-17联合检测,有助于分析胃癌高危人群疾病进展情况。

     

    Abstract:
    Objective To assess the value of a model based on helicobacter pylori (Hp) status and peripheral blood levels of pepsinogen I (PGⅠ), PGⅡ, and gastrin-17 (G-17) for predicting disease progression in high-risk populations for gastric cancer.
    Methods Retrospective selection of clinical data from 126 high-risk individuals for gastric cancer who underwent PGI, PGII, G-17, and C14 urea breath tests and gastroscopy tissue biopsy at Tianjin University Jinnan Hospital from January 2023 to January 2024, Based on pathological biopsy results using gastric cancer tissues obtained by gastroscopy, the high-risk population for gastric cancer was assigned into normal control, precancerous lesion, and early gastric cancer groups. The diagnostic efficacies of PGⅠ, PGⅡ, G-17, C14 urea breath, and other indicators in each patient group were determined, and a predictive model was constructed.
    Results The HP-positivity rate (82.35%) and PGⅡ level (22.73 ng/mL) in the early gastric cancer group were higher than those in the precancerous lesion and control groups. The PGI level (51.36 ng/mL) was lower in early gastric cancer than in precancerous lesions and control tissues. The G-17 level (5.17 pmol/L) was lower in the precancerous lesion group than in the control and early gastric cancer groups (P<0.05). Combined use of PGⅠ、PGⅡ、G-17and Hp , the area under curve (AUC) can reach 0.899, a sensitivity of 94.12%, and a specificity of 95.65%, making these factors ideal diagnostic tools for gastric cancer. According to the prediction model, the threshold for precancerous lesions was 10 points, and the critical value for early cancer was 19 points.
    Conclusions Implementation of the C14 urea breath test combined with PGⅠ, PGⅡ, and G-17 detection in high-risk populations for gastric cancer can help monitor disease progression in high-risk populations for gastric cancer.

     

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