Department of Oncology, Zhongda Hospital, Medical School, Southeast University, Nanjing, 210009, P. R. China.
Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, 210008, P. R. China.
J Biomed Nanotechnol. 2022 Mar 1;18(3):705-717. doi: 10.1166/jbn.2022.3292.
Identification of malignancy from sub-centimeter lung nodules (LNs, <1 cm) is core for prevention and treatment of primary phases of lung cancer (LC). The study's purpose was to predict micro-nodular lung cancer (mnLC), such as adenocarcinoma (AIS), micro-invasive adenocarcinoma (MIA), and invasive adenocarcinoma stage 1 (IA) based on serum extracellular nano-vesicles (sEVs) miR-153-3p. sEVs-miR-153-3p was selected in this study and then used to investigate the expression and efficacy by RT-qPCR in the validation phase, followed by sEVs derived from patients of mnLC, benign lung nodule (BLN), and healthy people groups comprised of 135 recruiters. Further, the study established the prediction model which combined sEVs-miR-153-3p expression with multiple clinical-radiomics features by Logistic algorithms and was authenticated by the area under curve (AUC) phenomenon. Then, a simple-to-use nomogram was developed by Cox proportional-hazards regression modeling for predicting mnLC. Besides, analyses were performed to demonstrate miR-153-3p/ROCK1 axis in regulating biological mechanisms using LC cell lines. Results demonstrated that sEVs-miR-153-5p's expression values were higher in mnLC patients compared to BLN and healthy people. The prediction model for mnLC was successfully established, utilizing sEVs-miR-153-5p biomarker with significant clinical-radiomics features and yielding an AUC = 0.943 (95%CI: 0.898~0.989, <0.0001). Moreover, the miR-153-3p and its targeted gene ROCK1 were confirmed as down-regulated in NSCLC cell lines and up-regulated expression respectively. Moreover, the miR-153-3p/ROCK1 axis took part in promoting the epithelial-mesenchymal transition (EMT) signaling pathway and regulated certain biological functions, such as proliferation, migration and invasion of LC cells. Therefore, the sEVs-miR-153-3p associated with radiomics-clinical features showed enormous potential to non-invasively identify malignancy from subcentimeter LNs. miR-153-3p could promote the genesis and progress of LC via EMT signaling pathway, which may serve as a therapeutic target.
从亚厘米肺结节(LN,<1cm)中识别恶性肿瘤是预防和治疗肺癌(LC)原发性阶段的核心。本研究旨在基于血清细胞外纳米囊泡(sEVs)miR-153-3p 预测微结节肺癌(mnLC),如腺癌(AIS)、微侵袭性腺癌(MIA)和 1A 期浸润性腺癌(IA)。在本研究中,选择了 sEVs-miR-153-3p,然后通过 RT-qPCR 在验证阶段进行表达和疗效研究,随后对来自 mnLC、良性肺结节(BLN)和健康人组的患者衍生的 sEVs 进行研究,共包含 135 名招募者。此外,研究通过 Logistic 算法建立了一个将 sEVs-miR-153-3p 表达与多个临床放射组学特征相结合的预测模型,并通过曲线下面积(AUC)现象进行了验证。然后,通过 Cox 比例风险回归建模为预测 mnLC 开发了一个易于使用的列线图。此外,还使用 LC 细胞系进行了分析,以证明 miR-153-3p/ROCK1 轴在调节生物学机制中的作用。结果表明,与 BLN 和健康人相比,mnLC 患者的 sEVs-miR-153-5p 表达值更高。成功建立了 mnLC 预测模型,利用 sEVs-miR-153-5p 生物标志物和具有显著临床放射组学特征的预测模型,AUC=0.943(95%CI:0.898~0.989,<0.0001)。此外,miR-153-3p 及其靶向基因 ROCK1 分别在 NSCLC 细胞系中被证实下调和上调。此外,miR-153-3p/ROCK1 轴参与促进上皮-间充质转化(EMT)信号通路,并调节 LC 细胞的某些生物学功能,如增殖、迁移和侵袭。因此,与放射组学-临床特征相关的 sEVs-miR-153-3p 具有从亚厘米 LN 中无创识别恶性肿瘤的巨大潜力。miR-153-3p 可能通过 EMT 信号通路促进 LC 的发生和进展,可作为治疗靶点。