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探索新型标志物:揭示 miR-106、CEA 和 CA19-9 在胃腺癌诊断和分期中的潜力。

In Pursuit of Novel Markers: Unraveling the Potential of miR-106, CEA and CA 19-9 in Gastric Adenocarcinoma Diagnosis and Staging.

机构信息

Faculty of Medicine, Lucian Blaga University of Sibiu, 550169 Sibiu, Romania.

Molecular Biology Laboratory of the Applied Ecology Research Center, Faculty of Sciences, Lucian Blaga University of Sibiu, 550012 Sibiu, Romania.

出版信息

Int J Mol Sci. 2024 Jul 19;25(14):7898. doi: 10.3390/ijms25147898.

Abstract

Gastric cancer stands as the fourth leading cause of cancer-related deaths globally, primarily comprising adenocarcinomas, categorized by anatomic location and histologic type. Often diagnosed at advanced stages, gastric cancer prognosis remains poor. To address the critical need for accurate tumoral markers for gastric cancer diagnosis, we conducted a study to assess classical markers like CEA and CA-19-9 alongside the novel marker miR-106. Our investigation revealed distinct dynamics of these markers compared to non-cancerous groups, although no disparities were observed across different disease stages. Univariable and multivariable logistic regression analyses demonstrated that elevated levels of miR-106, CEA and CA 19-9 were predictive of a positive histopathological exam, with the respective odds ratios of 12.032 (95% CI: 1.948-74.305), 30 (95% CI: 3.141-286.576), and 55.866 (95% CI: 4.512-691.687). Subsequently, we utilized predicted probabilities from regression models to construct receiver operating characteristic (ROC) curves, identifying CA 19-9 as the optimal predictor for gastric adenocarcinoma diagnosis when considering age and gender, with an area under the curve (AUC) of 0.936 ( < 0.001). Hence, classical markers exhibit superior performance compared to the novel marker miR-106 in predicting gastric adenocarcinoma.

摘要

胃癌是全球第四大癌症相关死亡原因,主要由腺癌组成,根据解剖位置和组织学类型进行分类。胃癌通常在晚期诊断,预后仍然较差。为了解决对胃癌诊断准确肿瘤标志物的迫切需求,我们进行了一项研究,评估了经典标志物如 CEA 和 CA-19-9 以及新型标志物 miR-106。我们的研究表明,这些标志物的动态与非癌性组明显不同,尽管在不同疾病阶段没有观察到差异。单变量和多变量逻辑回归分析表明,miR-106、CEA 和 CA 19-9 水平升高与阳性组织病理学检查相关,各自的优势比分别为 12.032(95%CI:1.948-74.305)、30(95%CI:3.141-286.576)和 55.866(95%CI:4.512-691.687)。随后,我们利用回归模型的预测概率构建了受试者工作特征(ROC)曲线,发现 CA 19-9 是考虑年龄和性别时诊断胃腺癌的最佳预测因子,曲线下面积(AUC)为 0.936(<0.001)。因此,经典标志物在预测胃腺癌方面的表现优于新型标志物 miR-106。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/699b/11277351/d004c3191d5e/ijms-25-07898-g001.jpg

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