Yu Zixin, Zhang Hushan, Li Sheng, Huo Qingwen, Ling Han, Chen Ke, Wang Zhiming
School of Life Science and Engineering, Southwest University of Science and Technology Mianyang 621000, Sichuan, China.
Zhaotong Health Vocational College Zhaotong 657000, Yunnan, China.
Int J Clin Exp Pathol. 2025 Jan 15;18(1):23-29. doi: 10.62347/XMAW3065. eCollection 2025.
Gastric cancer (GC) is a highly prevalent malignancy, yet its early diagnosis rate is generally low. Therefore, we have established a serum-based combined detection method based on tumor autoantibodies aimed at improving the diagnostic rate of gastric cancer.
Through clinical studies, we selected a series of proteins aberrantly expressed in gastric cancer patients, including RalA, Survivin, NY-ESO-1, p53, Cyclin B1, and Koc, and expressed and purified them using prokaryotic expression and nickel column chromatography.
The levels of autoantibodies in the serum of gastric cancer patients and healthy individuals were measured using enzyme-linked immunosorbent assay (ELISA), and the diagnostic value of the combined detection of tumor autoantibodies for gastric cancer was evaluated through receiver operating characteristic (ROC) curve analysis. The levels of autoantibodies against RalA, Survivin, NY-ESO-1, p53, and Cyclin B1 in the serum of gastric cancer patients were significantly higher than those in healthy individuals (P < 0.05), while the level of Koc showed no significant difference between the two groups (P > 0.05), suggesting that Koc may not be suitable for serological diagnosis of gastric cancer. ROC analysis of the combined levels of autoantibodies against RalA, Survivin, NY-ESO-1, p53, and Cyclin B1 for gastric cancer diagnosis achieved a sensitivity of 73.68% and specificity of 78.13%, with an AUC value of 0.8767.
The combined tumor autoantibody detection established in this study may have promising potential applications in early screening and diagnosis of gastric cancer.
胃癌（GC）是一种高度常见的恶性肿瘤，但其早期诊断率普遍较低。因此，我们建立了一种基于肿瘤自身抗体的血清联合检测方法，旨在提高胃癌的诊断率。
通过临床研究，我们选择了一系列在胃癌患者中异常表达的蛋白质，包括RalA、Survivin、NY-ESO-1、p53、细胞周期蛋白B1和Koc，并使用原核表达和镍柱层析法进行表达和纯化。
采用酶联免疫吸附测定（ELISA）法检测胃癌患者和健康个体血清中自身抗体水平，并通过受试者工作特征（ROC）曲线分析评估肿瘤自身抗体联合检测对胃癌的诊断价值。胃癌患者血清中针对RalA、Survivin、NY-ESO-1、p53和细胞周期蛋白B1的自身抗体水平显著高于健康个体（P<0.05），而两组间Koc水平无显著差异（P>0.05），提示Koc可能不适用于胃癌的血清学诊断。对针对RalA、Survivin、NY-ESO-1、p53和细胞周期蛋白B1的自身抗体联合水平进行ROC分析，胃癌诊断的灵敏度为73.68%，特异度为78.13%，曲线下面积（AUC）值为0.8767。
本研究建立的肿瘤自身抗体联合检测在胃癌早期筛查和诊断中可能具有广阔的应用前景。
