长链非编码RNA MIR22HG在甲状腺癌中作为生物标志物的鉴定

Long noncoding RNA MIR22HG predicts a poor prognosis in thyroid cancer

目的分析长链非编码RNA(lncRNAs) MIR22HG在甲状腺癌(TC)中作为生物标志物的可行性。方法通过TCGA、GSE29265、GSE33630和GSE55091等公共数据库, 采用单因素方差分析MIR22HG在TC中的表达水平以及其表达与TC临床病理特征的相关性。通过共表达网络构建、GO和KEGG途径分析, 采用Kaplan Meier和Cox回归分析明确MIR22HG在TC中的意义。结果 TC中MIR22HG表达水平显著低于正常甲状腺组织:GSE29265(F=37.740, P<0.05)、GSE50901(F=20.226, P<0.05)、GSE33630(F=33.930, P<0.001)和TCGA(F=4.610, P<0.001)。此外, MIR22HG低表达水平与TC患者患病年龄(χ^(2)=4.246, P<0.05)、淋巴结转移(χ^(2)=4.747, P<0.01)、肿瘤残留(χ^(2)=5.039, P<0.05)及甲状腺癌肿瘤高分期(χ^(2)=5.867, P<0.001)、T分级(χ^(2)=5.898, P<0.05)和N分级(χ^(2)=4.937, P<0.05)有相关。在TC中, MIR22HG的高表达与更长的总体[风险比(HR)95%可信区间(CI):2.531(1.039~6.166), P<0.05]和无病生存时间[HR 95%CI:4.942(1.064~14.904), P<0.05]相关。为了探讨MIR22HG调控TC进程的可能机制, 本研究构建受MIR22HG调控的4个Hub基因网络。生物信息学分析结果表明, MIR22HG与TC中的细胞凋亡、转录调控、mRNA剪接、细胞周期调控和Hippo信号通路有关。结论 MIR22HG可以作为一种新的甲状腺癌生物标志物。

Objective To analyze the feasibility of long non-coding RNAs(lncRNAs)MIR22HG as a biomarker in thyroid cancer(TC).Methods Through public databases such as TCGA,GSE29265,CSE33630 and GSE55091,the expression level of MIR22HG in TC and its correlation with the clinicopath-ological features of TC were analyzed by one-way variance.Through co-expression network construction,CO and KECG pathway analysis,Kaplan Meier and Cox regression analyses were used to clarify the signifi-cance of MIR22HG in TC.Results The expression level of MIR22HG in TC was significantly lower than that in normal thyroid tissue:GSE29265(F=37.740,P<0.05);GSE50901(F=20.226,P<0.05);GSE33630(F=33.930,P<0.001);and TCCA(F=4.610,P<0.001).In addition,the low expres-sion level of MIR22HG was related to the age of TC patients(χ^(2)=4.246,P<0.05),lymph node metasta-sis(χ^(2)=4.747,P<0.01),tumor residue(χ^(2)=5.039,P<0.05),high tumor stage of TC cancer(χ^(2)=5.867,P<0.001),T grade(χ^(2)=5.898,P<0.05)and N grade(χ^(2)=4.937,P<0.05).In TC,the high expression of MIR22HG was associated with a longer population[hazard ratio(HR)95%confidence interval(CI):2.531(1.039-6.166),P<0.05]and disease-free survival time[HR 95%CI:4.942(1.064-14.904),P<0.05].In order to explore the possible mechanism of MIR22HG regulating TC process,4 Hub gene networks regulated by MIR22HG were constructed in this study.Bioinformatics analy-sis showed that MIR22HG was related to apoptosis,transcription regulation,mRNA splicing,cell cycle regulation and Hippo signaling pathway in TC.Conclusion MIR22HG can be used as a new biomarker of TC.