Ji Ze, Xing Yufei, Zhong Anyuan, Li Wensi, Cheng Suhang, Pan Xing, Shi Minhua
Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Department of Respiratory and Critical Care Medicine, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou, Jiangsu, China.
Front Med (Lausanne). 2025 Jun 25;12:1600429. doi: 10.3389/fmed.2025.1600429. eCollection 2025.
To assess extracellular vesicle microRNAs detection in predicting malignant and benign pulmonary ground glass nodules (GGNs).
A retrospective study was conducted on 96 patients with pulmonary GGNs, hospitalized in Suzhou Kowloon Hospital and The Second Affiliated Hospital of Soochow University, Shanghai Jiaotong University School of Medicine between April 2021 and March 2022. Based on pathological diagnosis, 67 were in the malignant group and 29 in the benign group. Additionally, 50 healthy individuals from the same hospitals were enrolled as controls. Plasma exosomal microRNAs (miRNAs) levels were measured by quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) in the three groups. The diagnostic value of candidate miRNAs was analyzed using receiver operating characteristic (ROC) curves.
Nodule size and proportion of pure GGNs were significantly higher in the malignant group than the benign group ( < 0.05). Expression of miR-17-5p and miR-1-3p was lower in malignant GGNs compared to benign ones, while miR-20b-5p, miR-9-5p, and miR-92a-2-5p were higher ( < 0.05). Compared to healthy controls, miR-1-3p and miR-17-5p were decreased, and miR-92a-2-5p, miR-9-5p, and miR-20b-5p were increased in malignant GGNs ( < 0.05). Among individual markers, miR-1-3p had the highest sensitivity and specificity. Sensitivity ranking: miR-1-3p > miR-20b-5p > miR-92a-2-5p > miR-9-5p > miR-17-5p; specificity ranking: miR-92a-2-5p > miR-17-5p > miR-1-3p > miR-9-5p > miR-20b-5p. Combining miR-1-3p and miR-92a-2-5p yielded an AUC of 1.000, with 100% sensitivity and specificity. In the healthy group comparison, miR-1-3p remained the most accurate single marker. Specificity ranking: miR-1-3p > miR-20b-5p > miR-92a-2-5p > miR-9-5p > miR-17-5p; sensitivity ranking: miR-1-3p > miR-17-5p > miR-92a-2-5p > miR-20b-5p > miR-9-5p.
miR-1-3p, miR-9-5p, miR-17-5p, miR-20b-5p, and miR-92a-2-5p show promise as diagnostic biomarkers for GGN.
评估细胞外囊泡微小RNA检测在预测恶性和良性肺磨玻璃结节(GGN)中的作用。
对2021年4月至2022年3月期间在苏州九龙医院、上海交通大学医学院附属苏州大学第二附属医院住院的96例肺GGN患者进行回顾性研究。根据病理诊断,恶性组67例,良性组29例。此外,选取同医院50名健康个体作为对照。采用定量逆转录聚合酶链反应(qRT-PCR)检测三组血浆外泌体微小RNA(miRNA)水平。使用受试者工作特征(ROC)曲线分析候选miRNA的诊断价值。
恶性组结节大小及纯GGN比例显著高于良性组(<0.05)。与良性GGN相比,恶性GGN中miR-17-5p和miR-1-3p表达较低,而miR-20b-5p、miR-9-5p和miR-92a-2-5p表达较高(<0.05)。与健康对照相比,恶性GGN中miR-1-3p和miR-17-5p降低,miR-92a-2-5p、miR-9-5p和miR-20b-5p升高(<0.05)。在单个标志物中,miR-1-3p具有最高的敏感性和特异性。敏感性排序:miR-1-3p>miR-20b-5p>miR-92a-2-5p>miR-9-5p>miR-17-5p;特异性排序:miR-92a-2-5p>miR-17-5p>miR-1-3p>miR-9-5p>miR-20b-5p。联合miR-1-3p和miR-92a-2-5p的曲线下面积(AUC)为1.000,敏感性和特异性均为100%。在与健康组比较中,miR-1-3p仍是最准确的单一标志物。特异性排序:miR-1-3p>miR-20b-5p>miR-92a-2-5p>miR-9-5p>miR-17-5p;敏感性排序:miR-1-3p>miR-17-5p>miR-92a-2-5p>miR-20b-5p>miR-9-5p。
miR-1-3p、miR-9-5p、miR-17-5p、miR-20b-5p和miR-92a-2-5p有望成为GGN的诊断生物标志物。