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A 7‐lncRNA signature predict prognosis of Uterine corpus endometrial carcinoma

机译:7-lncrNA签名预测子宫子宫内膜子宫内膜癌的预后

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摘要

Abstract Current research indicate that long noncoding RNAs (lncRNAs) are associated with the progression of various cancers and can be used as prognostic biomarkers. This study aims to construct a prognostic lncRNA signature for the risk assessment of Uterine corpus endometrial carcinoma (UCEC). The RNA‐Seq expression profile and corresponding clinical data of UCEC patients obtained from The Cancer Genome Atlas database. First, some prognosis‐related lncRNAs were obtained by univariate Cox analysis. The minimum absolute contraction and selection operator (LASSO) regression and the Cox proportional hazard regression method were used to further identify the lncRNA prognostic model. Finally, seven lncRNAs (AC110491.1, AL451137.1, AC005381.1, AC103563.2, AC007422.2, AC108025.2, and MIR7‐3HG) were identified as potential prognostic factors. According to the model constructed by the above analysis, the risk score of each UCEC patient was calculated, and the patients were classified into high and low‐risk groups. The low‐risk group had significant survival benefits. Moreover, we constructed a nomogram that incorporated independent prognostic factors (age, tumor stage, tumor grade, and risk score). The c‐index value for evaluating the predictive nomogram model was 0.801. The area under the curve was 0.797 (3‐year survival). The calibration curve also showed that there was a satisfactory agreement between the predicted and observed values in the probability of 1‐, 3‐, and 5‐year overall survival. On the basis of the coexpression relationship, we established a coexpression network of lncRNA‐messenger RNA (mRNA) of the 7‐lncRNA. The Kyoto Encyclopedia of Genes and Genomes analysis of the coexpressing mRNAs showed that the main pathways related to the 7‐lncRNA signature were neuroactive ligand‐receptor interaction, serotonergic synapse, and gastric cancer pathway. Therefore, our study revealed that the 7‐lncRNA could be used to predict the prognosis of UCEC and for postoperative treatment and follow‐up.
机译:摘要目前的研究表明,长度非编码RNA(LNCRNA)与各种癌症的进展相关,可以用作预后生物标志物。本研究旨在为子宫内膜子宫内膜癌(UCEC)的风险评估构建预后LNCRNA签名。 RNA-SEQ表达谱和从癌症基因组数据库中获得的UCEC患者的相应临床数据。首先,通过单变量COX分析获得了一些预后相关的LNCRNA。最小绝对收缩和选择操作员(套索)回归和Cox比例危险回归方法用于进一步鉴定LNCRNA预后模型。最后,七个LNCRNA(AC110491.1,AL451137.1,AC005381.1,AC103563.2,AC007422.2,AC108025.2和MIR7-3HG)被确定为潜在的预后因素。根据上述分析构建的模型,计算每种UCEC患者的风险得分,并且将患者分为高风险群体。低风险组具有显着的生存效益。此外,我们构建了一种纳入图,其掺入无关的预后因素(年龄,肿瘤阶段,肿瘤等级和风险评分)。用于评估预测性墨迹模型的C折射率值为0.801。曲线下的面积为0.797(3年生存)。校准曲线还表明,预测和观测值之间的概率在1-,3-和5年的总体存活率之间存在令人满意的协议。在共表达关系的基础上,我们建立了7-LNCRNA的LNCRNA-Messenger RNA(mRNA)的共表达网络。京都基因百科全书和基因组的共同MRNA分析表明,与7 -LNCRNA签名有关的主要途径是神经活性配体 - 受体相互作用,血清酮突触和胃癌途径。因此,我们的研究表明,7-LNCRNA可用于预测UCEC的预后和术后治疗和随访。

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