Fang Xin, Chen Xiliang, Gao Jingquan, Tong Liquan
Department of General Surgery II, Daqing Oilfield General Hospital, Daqing, China.
Department of Rehabilitation, Beijing Rehabilitation Hospital of Capital Medical University, Beijing, China.
Front Genet. 2023 Apr 20;14:1157438. doi: 10.3389/fgene.2023.1157438. eCollection 2023.
Thyroid cancer (THCA) has become a serious malignant tumor worldwide. Identification of non-coding RNA related regulators is very necessary to improve the knowledge of THCA treatment. The aim of this study was to identify novel therapeutic targets and prognosis biomarkers for predicting pathological characteristics and subsequently treating THCA. We investigated the alterations of miRNAs, mRNAs and lncRNAs in THCA. Functional enrichment and clustering analysis were conducted for these aberrantly expressed RNAs. Multiple interaction networks among miRNAs, mRNAs and lncRNAs were constructed and the functional modules associated with THCA patients' prognosis were identified. Furthermore, we evaluated the prognostic roles of the important miRNAs, mRNAs and lncRNAs in THCA and investigated the regulatory potential of non-coding RNAs on immune cell infiltration. We firstly identified that and could significantly classify patients into high/low risk groups, which may be potential prognosis biomarkers of THCA. Secondly, we constructed a THCA-related miRNA-mRNA network, which displayed small world network topological characters. Two THCA-related functional modules were identified from the miRNA-mRNA network by MCODE. Results showed that two modules could implicate in known cancer pathways, such as apoptosis and focal adhesion. Thirdly, a THCA-related miRNA-lncRNA network was constructed. A subnetwork of miRNA-lncRNA network showed strong prognosis effect in THCA. Fourthly, we constructed a THCA-related mRNA-lncRNA network and detected several typical lncRNA-miRNA-mRNA crosstalk, such as , , and , which had good prognosis effect in THCA. Immune infiltration results showed that lncRNAs LA16c-329F2, RP11-395N3, RP11-423H2, RP11-399B17 and RP11-1036E20 were high related to neutrophil and dendritic cell infiltration. Non-coding RNA-mediated gene regulatory network has the strong regulatory potential in pathological processes of THCA. All these results could help us uncover the non-coding RNA-mediated regulatory mechanism in THCA.
甲状腺癌（THCA）已成为全球范围内一种严重的恶性肿瘤。识别与非编码RNA相关的调节因子对于增进对THCA治疗的认识非常必要。本研究的目的是识别新的治疗靶点和预后生物标志物，以预测病理特征并随后治疗THCA。我们研究了THCA中miRNA、mRNA和lncRNA的变化。对这些异常表达的RNA进行了功能富集和聚类分析。构建了miRNA、mRNA和lncRNA之间的多个相互作用网络，并识别出与THCA患者预后相关的功能模块。此外，我们评估了重要的miRNA、mRNA和lncRNA在THCA中的预后作用，并研究了非编码RNA对免疫细胞浸润的调节潜力。我们首先确定， 和 可将患者显著分为高/低风险组，这可能是THCA的潜在预后生物标志物。其次，我们构建了一个与THCA相关的miRNA-mRNA网络，该网络显示出小世界网络拓扑特征。通过MCODE从miRNA-mRNA网络中识别出两个与THCA相关的功能模块。结果表明，这两个模块可能涉及已知的癌症途径，如细胞凋亡和粘着斑。第三，构建了一个与THCA相关的miRNA-lncRNA网络。miRNA-lncRNA网络的一个子网在THCA中显示出很强的预后作用。第四，我们构建了一个与THCA相关的mRNA-lncRNA网络，并检测到几个典型的lncRNA-miRNA-mRNA串扰，如 、 、 和 ，它们在THCA中具有良好的预后作用。免疫浸润结果表明，lncRNAs LA16c-329F2、RP11-395N3、RP11-423H2、RP11-399B17和RP11-!036E20与中性粒细胞和树突状细胞浸润高度相关。非编码RNA介导基因调控网络在THCA的病理过程中具有很强的调控潜力。所有这些结果有助于我们揭示THCA中非编码RNA介导的调控机制。
