Huang Yuan, Yang Hong, Ding Rui, Wang Li, Li Ji, Li Wenbo, Qin Xuzhen, Xu Yingchun, Qian Jiaming
Department of Laboratory Medicine, Peking Union Medical College Hospital & Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Department of Gastroenterology, Peking Union Medical College Hospital & Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
Cancer Manag Res. 2024 Jul 29;16:921-931. doi: 10.2147/CMAR.S459568. eCollection 2024.
Serum pepsinogen (PG) is a good indicator of atrophic changes in the gastric mucosa. Gastric mucosal atrophy is a high-risk factor for gastric cancer. Serological testing for PG combined with endoscopy can help to improve gastric cancer screening. In this study, we established the reference ranges of serum PG-I, PG-II, and the PG-I/II ratio (PGR) in the Chinese population by chemiluminescence immunoassay (CLIA) and enzyme-linked immunosorbent assay (ELISA). Besides, in the real world, doctors are often confused by the results of different testing platforms. Thus, a comparison of methods CLIA and ELISA was performed.
2904 individuals were enrolled from six regions in China as part of the Chinese Adult Digestive Diseases Surveillance (2016) program. The individuals completed questionnaires and volunteered to undergo examinations, including gastroscopy, urea breath test, abdominal ultrasound examination and routine serologic tests. Serum was collected to measure PGs (including PG-I, PG-II and PGR) by CLIA and ELISA. Participants who were found obvious abnormalities or absent from the examinations were excluded. Ultimately, 747 healthy individuals were enrolled in this study. The Kolmogorov-Smirnov test was used to assess the distribution of variables. The Kruskal-Wallis or Mann-Whitney -tests were used to compare different sex, age, and geographical groups. The 95% reference ranges of PGs obtained by the two methods were established according to document CLSI-EP28-A3, with covariates of sex, age, and region. Spearman correlation analysis, linear regression analysis and allowable total error (ATE) zone analysis were utilized for comparing the two methods.
On overall, the 95% reference ranges of PG-I, PG-II, and PGR measured by CLIA were 23.00-110.64 ng/mL, 2.50-19.13 ng/mL, and 3.87-13.30, respectively. Meanwhile, the reference ranges of PG-I, PG-II, and PGR measured by ELISA were 36.93-205.06 ng/mL, 1.65-17.96 ng/mL, and 7.50-33.60, respectively. Both PG-I and PG-II levels measured by the two platforms were found to be influenced by sex and age. PGR measured by CLIA was influenced by age but not by sex, while PGR measured by ELISA was not affected by either age or sex. Regional factors did not significantly impact the PG results, except for PG-I detected by ELISA. Ultimately, reference ranges for PGs were established based on age and sex stratification. Additionally, the Spearman correlation analysis revealed that the correlation coefficients for PG-I, PG-II, and PGR detected by the two methods were 0.899, 0.887, and 0.777, respectively, indicating a strong correlation between the two methods. The regression equation for the PG levels detected by two methods was obtained through linear regression analysis. The ATE analysis provided a visual depiction of the consistency between the two methods, clearly indicating the poor agreement between them.
This study established the reference ranges of PGs by strict and intact enrollment standard. In addition, the results indicated a strong linear relationship between the two methods, yet with a clear bias, which was valuable for laboratory interpretation.
血清胃蛋白酶原(PG)是胃黏膜萎缩性变化的良好指标。胃黏膜萎缩是胃癌的高危因素。血清PG检测联合内镜检查有助于提高胃癌筛查效果。在本研究中,我们通过化学发光免疫分析法(CLIA)和酶联免疫吸附测定法(ELISA)建立了中国人群血清PG-I、PG-II及PG-I/II比值(PGR)的参考范围。此外,在实际应用中,医生常常对不同检测平台的结果感到困惑。因此,我们对CLIA法和ELISA法进行了比较。
从中国六个地区招募了2904名个体,作为中国成人消化系统疾病监测(2016年)项目的一部分。这些个体完成了问卷调查并自愿接受检查,包括胃镜检查、尿素呼气试验、腹部超声检查和常规血清学检测。采集血清,采用CLIA法和ELISA法检测PG(包括PG-I、PG-II和PGR)。排除检查发现明显异常或未参与检查的参与者。最终,747名健康个体纳入本研究。采用柯尔莫哥洛夫-斯米尔诺夫检验评估变量分布。采用Kruskal-Wallis检验或Mann-Whitney检验比较不同性别、年龄和地理区域组。根据CLSI-EP28-A3文件,以性别、年龄和地区为协变量,建立两种方法获得的PG的95%参考范围。采用Spearman相关性分析、线性回归分析和允许总误差(ATE)区间分析比较两种方法。
总体而言,CLIA法检测的PG-I、PG-II和PGR的95%参考范围分别为23.00 - 110.64 ng/mL、2.50 - 19.13 ng/mL和3.87 - 13.30。同时,ELISA法检测的PG-I、PG-II和PGR的参考范围分别为36.93 - 205.06 ng/mL、1.65 - 17.96 ng/mL和7.50 - 33.60。两个平台检测的PG-I和PG-II水平均受性别和年龄影响。CLIA法检测的PGR受年龄影响但不受性别影响,而ELISA法检测的PGR不受年龄和性别的影响。除ELISA法检测的PG-I外,区域因素对PG结果无显著影响。最终,基于年龄和性别分层建立了PG的参考范围。此外,Spearman相关性分析显示,两种方法检测的PG-I、PG-II和PGR的相关系数分别为0.899、0.887和0.777,表明两种方法之间存在强相关性。通过线性回归分析获得了两种方法检测的PG水平的回归方程。ATE分析直观地显示了两种方法之间的一致性,清楚地表明它们之间的一致性较差。
本研究通过严格和完整的纳入标准建立了PG的参考范围。此外,结果表明两种方法之间存在强线性关系,但存在明显偏差,这对实验室解释具有重要价值。