Serological and genetic markers in gastric polyps: Diagnostic and prognostic roles of pepsinogen, gastrin-17, and ABO antigens

胃息肉的血清学和遗传学标志物:胃蛋白酶原、胃泌素-17和ABO抗原的诊断和预后作用

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Abstract

Predictive value of pepsinogen (PG), gastrin-17 (G-17), and blood groups for differentiating solitary/multiple gastric polyps (GPs) and their size. A retrospective analysis was performed on patients with GPs confirmed by gastroscopy admitted to the Department of Gastroenterology at the 901 Hospital of the Joint Logistic Support Force of the People's Liberation Army from December 2021 to May 2024. This included variables such as medical record number, sex, age, date of admission, primary diagnosis, and serum markers G-17, PGI, PGII, alpha-fetoprotein, carcinoembryonic antigen, and carbohydrate antigen 19-9, as well as blood type. A total of 142 subjects underwent gastroscopy, with an overall age of 55.94 ± 11.34 years and 91 females (63.6%). The ages of group A, B, O, and AB were 57.59 ± 11.21, 55.43 ± 11.77, 55.44 ± 11.91 and 53.79 ± 8.94, respectively. Gender (female) was 34 (77.3%), 19 (54.3%), 29 (58.0%), and 9 (64.3%), respectively. Correlation analysis showed that no variable was associated with blood type among all variables in the data. However, after adjusting for sex and age, blood type was found to be correlated with polyp size, G-17, pepsinogen I (PGI), pepsinogen II (PGII), alpha-fetoprotein, which was almost consistent with the results after adjusting for sex, age, hypertension, diabetes, and coronary heart disease. Finally, the area under the curve (AUC) of receiver operating characteristic (ROC) curve for age, sex G-17, PGI/PGII, and blood group predicting pathology (polyp/adenoma) was 0.943; The AUC of the ROC curve for single/multiple prediction was 0.663. The AUC of the ROC curve for the predicted size (>1 cm) is 0.820. This study found that the use of age, sex, PGI/PGII, G-17 in combination with different blood groups has important value in the identification of clinicopathological features of GPs, the relationship between single/multiple and polyp size and prediction.

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