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首页> 外文期刊>Bioengineered >An epithelial-mesenchymal transition-related long non-coding RNA signature to predict overall survival and immune microenvironment in kidney renal clear cell carcinoma
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An epithelial-mesenchymal transition-related long non-coding RNA signature to predict overall survival and immune microenvironment in kidney renal clear cell carcinoma

机译:上皮 - 间充质转换相关的长非编码RNA签名,以预测肾肾透明细胞癌中的整体存活和免疫微环境

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摘要

Kidney renal clear cell carcinoma (ccRCC) is a malignant tumor originating from renal tubular epithelium, lncRNAs can regulate the occurrence and development of EMT by targeting EMT transcription factors. We constructed a new survival signature based on EMT-related differentially expressed lncRNAs obtained from the Cancer Genome Atlas (TCGA-KIRC). We first determined 1377 EMT-related lncRNAs, lncRNA AL035661.1 with the largest correlation coefficient and the target gene was PFN2 (cor?=?0.843; P =?1.37E-146). Meanwhile, we found an AUC of 0.758 in our signature and we predicted the AUC values of the patients’ 1, 2, 3-year survival rate as 0.768, 0.749, and 0.762 in TCGA cohort, respectively. Multivariate COX analysis was performed to determine if risk score was an independent prognostic predictor of OS. The results indicated that our risk score can be an independent predictor for OS (Univariate: HR?=?1.350, 95% CI?=?1.276–1.428, P
机译:肾肾透明细胞癌(CCRCC)是一种源自肾小管上皮的恶性肿瘤,LNCRNA可以通过靶向EMT转录因子来调节EMT的发生和发展。基于从癌症基因组地图集(​​TCGA-KIRC)获得的EMT相关差异表达的LNCRNA构建了一种新的生存签名。我们首先确定了1377个与EMT相关的LNCRNA,LNCRNA AL035661.1,具有最大的相关系数,靶基因是 PFN2(COR?= 0.843; P =?1.37E-146)。同时,我们在我们的签名中发现了0.758的AUC,我们将患者1,2,3岁的AUC值分别预测为0.768,0.749和0.762的TCGA队列。进行多元COX分析以确定风险评分是否是OS的独立预后预测因子。结果表明,我们的风险分数可以是OS的独立预测因子(单变量:HR?=?1.350,95%CI?=?1.276-1.428, P <0.001;多变量:HR?=?1.295,95 %ci?=?1.201-1.396, p <0.001)。我们鉴定了CCRCC预后的新型EMT相关的LNCRNA标志物。 CCRCC和肿瘤免疫中EMT相关的LNCRNA之间的潜在机制仍然尚不清楚,需要进一步研究。

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