Chengdu Medical College, No. 783, Xindu Avenue, Xindu District, Chengdu (610500), Sichuan. China.
Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Chengdu Medical College, No. 278, Baoguang Avenue, Xindu District, Chengdu (610500), Sichuan. China.
Bioengineered. 2021 Dec;12(1):8690-8697. doi: 10.1080/21655979.2021.1991161.
CircRNAs play diverse roles in the regulation of oncogenic processes, yet the roles of these circRNAs in non-small cell lung cancer (NSCLC) remain to be fully clarified. Herein, patterns of circRNA expression in NSCLC tissues and paracancerous tissues were assessed, and the relationships between these circRNAs and NSCLC patient clinical findings were assessed. NSCLC tissues were evaluated using a circRNA microarray approach, with Quantitative real‑time polymerase chain reaction (qPCR) qPCR being used to validate candidate circRNA expression levels in NSCLC patients peripheral blood samples. GEO2R was used to analyze the array data. SPSS23.0, GraphPad Prism, and Sigmaplot were utilized for statistical analyses. Overall, 114 circRNAs that were differentially expressed in NSCLC tissue relative to paracancerous tissue levels were identified, of which 77 and 37 were downregulated and upregulated, respectively. CircRNA_001846 were then chosen based on its differential expression score. Consistent with array findings, serum samples from NSCLC patients exhibited circRNA_001846 upregulation relative to those from healthy individuals. The circRNA_001846 was associated with tumor differentiation, lymph node metastasis, and node metastasis stage. Receiver operating characteristic (ROC) curves analyses revealed that levels of circRNA_001846 in the serum were capable of differentiating between individuals diagnosed with NSCLC and controls at a cut off of 3.9496, yielding respective sensitivity and specificity values of 78.2% and 81.1%, with an area under the curve (AUC) value of 0.872. When combined with carcinoembryonic antigen (CEA), this circRNA achieved an improved AUC value of 0.925. CircRNA_001846 may represent a promising diagnostic biomarker for NSCLC.
CircRNAs 在调节致癌过程中发挥多种作用，但这些 circRNAs 在非小细胞肺癌 (NSCLC) 中的作用仍有待充分阐明。在此，评估了 NSCLC 组织和癌旁组织中 circRNA 的表达模式，并评估了这些 circRNAs 与 NSCLC 患者临床发现之间的关系。使用 circRNA 微阵列方法评估 NSCLC 组织，使用定量实时聚合酶链反应 (qPCR) 验证 NSCLC 患者外周血样本中候选 circRNA 表达水平。使用 GEO2R 分析阵列数据。使用 SPSS23.0、GraphPad Prism 和 Sigmaplot 进行统计分析。总体而言，鉴定出 NSCLC 组织中相对于癌旁组织水平差异表达的 114 个 circRNA，其中分别下调和上调 77 和 37 个。然后根据差异表达评分选择 circRNA_001846。与阵列发现一致，与健康个体相比，来自 NSCLC 患者的血清样本显示 circRNA_001846 上调。circRNA_001846 与肿瘤分化、淋巴结转移和淋巴结转移分期有关。接收器操作特性 (ROC) 曲线分析表明，circRNA_001846 在血清中的水平能够在 3.9496 的截止值下区分诊断为 NSCLC 的个体和对照者，其灵敏度和特异性分别为 78.2%和 81.1%，曲线下面积 (AUC) 值为 0.872。当与癌胚抗原 (CEA) 结合时，该 circRNA 的 AUC 值提高到 0.925。circRNA_001846 可能是 NSCLC 的一种有前途的诊断生物标志物。
