Zhang Renning, Wan Xinrui, Huang Xuan, Li Mingping, Xu Kai, Fang Raohong, Li Ya
Department of Clinical Laboratory Medicine, Yunnan Diannan Central Hospital (The First People's Hospital of Honghezhou), Mengzi 661100, China.
Department of Clinical Laboratory Medicine, The Third People's Hospital of Kunming, Kunming 650301, China.
Zhongguo Fei Ai Za Zhi. 2024 Sep 20;27(9):654-664. doi: 10.3779/j.issn.1009-3419.2024.101.23.
The incidence rate of lung cancer in Xuanwei has been continuously increasing in recent years, and it also features high incidence across all age groups and high mortality rates among female lung cancer patients. Therefore, the search for more stable biomarkers for the diagnosis of Xuanwei lung cancer holds tremendous clinical application prospects. This study aims to explore the clinical application value of these four microRNAs (miRNAs) individually and in combination with traditional lung cancer tumor markers in the detection and diagnosis of Xuanwei lung cancer.
By detecting the expression levels of four miRNAs and five traditional lung cancer tumor markers in the serum of 45 Xuanwei lung cancer patients and healthy physical examination participants, the Logistic regression model was employed to comprehensively evaluate the sensitivity, specificity, diagnostic efficacy, and other relevant statistical indicators of the four miRNAs in the diagnosis of Xuanwei lung cancer.
Among the individual miRNAs, miR-4646-5p and miR-3654 showed significant differences in expression levels between the Xuanwei lung cancer group and the control group (P<0.05). miR-3654 demonstrated the best diagnostic performance with a sensitivity of 86.7%, specificity of 82.2%, and an area under the curve of 0.847. Combining miR-3654 with miR-4646-5p and carcinoembryonic antigen (CEA) resulted in the highest diagnostic efficacy for Xuanwei lung cancer, with a sensitivity of 73.3%, specificity of 93.3%, area under the curve of 0.901, and a positive predictive value of 91.7%.
Among the four miRNAs, serum miR-3654 exhibits the best diagnostic efficacy for Xuanwei lung cancer. Combined with miR-4646-5p and CEA, its diagnostic value for Xuanwei lung cancer can be effectively enhanced, making it a promising screening indicator for Xuanwei lung cancer.
近年来，宣威地区肺癌发病率持续上升，且呈现各年龄段发病率高以及女性肺癌患者死亡率高的特点。因此，寻找更稳定的宣威肺癌诊断生物标志物具有巨大的临床应用前景。本研究旨在探讨这四种微小RNA（miRNA）单独及与传统肺癌肿瘤标志物联合在宣威肺癌检测与诊断中的临床应用价值。
通过检测45例宣威肺癌患者和健康体检者血清中四种miRNA及五种传统肺癌肿瘤标志物的表达水平，采用Logistic回归模型综合评估这四种miRNA在宣威肺癌诊断中的敏感性、特异性、诊断效能及其他相关统计指标。
在单个miRNA中，miR-4646-5p和miR-3654在宣威肺癌组与对照组之间的表达水平存在显著差异（P<0.05）。miR-3654表现出最佳诊断性能，敏感性为86.7%，特异性为82.2%，曲线下面积为0.847。将miR-3654与miR-4646-5p及癌胚抗原（CEA）联合，对宣威肺癌的诊断效能最高，敏感性为73.3%，特异性为93.3%，曲线下面积为0.901，阳性预测值为91.7%。
在这四种miRNA中，血清miR-3654对宣威肺癌的诊断效能最佳。与miR-4646-5p和CEA联合，可有效提高其对宣威肺癌的诊断价值，使其成为有前景的宣威肺癌筛查指标。
