Department of Medical Oncology, Second Affiliated Hospital of Guangxi Medical University, Daxuedong Road, Nanning, Guangxi Zhuang Autonomous Region, 530021, People's Republic of China.
Department of Pathology, Second Affiliated Hospital of Guangxi Medical University, Daxuedong Road, Nanning, Guangxi Zhuang Autonomous Region, 530021, People's Republic of China.
Respir Res. 2019 Mar 4;20(1):48. doi: 10.1186/s12931-019-0994-1.
Previous studies have shown that miR-144-3p might be a potential biomarker in non-small cell lung cancer (NSCLC). Nevertheless, the comprehensive mechanism behind the effects of miR-144-3p on the origin, differentiation, and apoptosis of NSCLC, as well as the relationship between miR-144-3p and clinical parameters, has been rarely reported.
We investigated the correlations between miR-144-3p expression and clinical characteristics through data collected from Gene Expression Omnibus (GEO) microarrays, the relevant literature, The Cancer Genome Atlas (TCGA), and real-time quantitative real-time PCR (RT-qPCR) analyses to determine the clinical role of miR-144-3p in NSCLC. Furthermore, we investigated the biological function of miR-144-3p by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Protein-protein interaction (PPI) network was created to identify the hub genes.
From the comprehensive meta-analysis, the combined SMD of miR-144-3p was - 0.95 with 95% CI of (- 1.37, - 0.52), indicating that less miR-144-3p was expressed in the NSCLC tissue than in the normal tissue. MiR-144-3p expression was significantly correlated with stage, lymph node metastasis and vascular invasion (all P < 0.05). As for the bioinformatics analyses, a total of 37 genes were chosen as the potential targets of miR-144-3p in NSCLC. These promising target genes were highly enriched in various key pathways such as the protein digestion and absorption and the thyroid hormone signaling pathways. Additionally, PPI revealed five genes-C12orf5, CEP55, E2F8, STIL, and TOP2A-as hub genes with the threshold value of 6.
The current study validated that miR-144-3p was lowly expressed in NSCLC. More importantly, miR-144-3p might function as a latent tumor biomarker in the prognosis prediction for NSCLC. The results of bioinformatics analyses may present a new method for investigating the pathogenesis of NSCLC.
先前的研究表明，miR-144-3p 可能是非小细胞肺癌（NSCLC）的潜在生物标志物。然而，miR-144-3p 对 NSCLC 的起源、分化和凋亡的影响的综合机制，以及 miR-144-3p 与临床参数之间的关系，很少有报道。
我们通过基因表达综合分析（GEO）微阵列、相关文献、癌症基因组图谱（TCGA）和实时定量实时 PCR（RT-qPCR）分析来研究 miR-144-3p 表达与临床特征之间的相关性，以确定 miR-144-3p 在 NSCLC 中的临床作用。此外，我们通过基因本体论（GO）和京都基因与基因组百科全书（KEGG）分析来研究 miR-144-3p 的生物学功能。创建蛋白质-蛋白质相互作用（PPI）网络以识别枢纽基因。
通过综合荟萃分析，miR-144-3p 的合并 SMD 为-0.95，95%置信区间为（-1.37，-0.52），表明 NSCLC 组织中的 miR-144-3p 表达水平低于正常组织。miR-144-3p 的表达与分期、淋巴结转移和血管侵犯显著相关（均 P<0.05）。对于生物信息学分析，共选择了 37 个基因作为 NSCLC 中 miR-144-3p 的潜在靶标。这些有前途的靶基因在蛋白质消化吸收和甲状腺激素信号通路等各种关键途径中高度富集。此外，PPI 揭示了五个基因-C12orf5、CEP55、E2F8、STIL 和 TOP2A-作为枢纽基因，阈值为 6。
本研究验证了 miR-144-3p 在 NSCLC 中低表达。更重要的是，miR-144-3p 可能作为 NSCLC 预后预测的潜在肿瘤标志物。生物信息学分析的结果可能为研究 NSCLC 的发病机制提供一种新方法。
