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一种用于预测肾透明细胞癌预后及其与免疫相关性的新型焦亡相关长链非编码RNA特征

A Novel Pyroptosis-Related lncRNAs Signature for Predicting the Prognosis of Kidney Renal Clear Cell Carcinoma and Its Associations with Immunity.

作者信息

Tang Xinfang, Zhang Anna, Feng Yuanyuan, Su Ying, Wang Xiaoyu, Jiang Feng, Ma Jianxin

机构信息

Department of Nephrology, The Affiliated Lianyungang Oriental Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Oriental Hospital of Xuzhou Medical University, The Affiliated Lianyungang Oriental Hospital of Bengbu Medical College, Lianyungang 222042, China.

Department of Nephrology, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.

出版信息

J Oncol. 2021 Oct 18;2021:9997185. doi: 10.1155/2021/9997185. eCollection 2021.

Abstract

The most common kind of kidney cancer with poor prognosis is clear cell renal cell carcinoma (ccRCC). Pyroptosis is shown to be an inflammatory type of programmed cell death in recent years. In this research, we utilized pyroptosis-related differentially expressed lncRNAs in ccRCC to develop a predictive multi-lncRNA signature. We uncovered 14 lncRNAs with different expression patterns that were linked to ccRCC prognosis. Kaplan-Meier analysis identified a signature of high-risk lncRNAs related to poor prognosis for ccRCC. Furthermore, the AUC of the lncRNA signature was 0.771, indicating that they can be used to predict ccRCC prognosis. In predicting ccRCC prognosis, our risk analysis approach outperformed standard clinicopathological characteristics. In the low-risk group, GSEA indicated tumor-related pathways. T-cell functions such as T-cell coinhibition and T-cell costimulation were found to be expressed differently in two groups. Immune checkpoints including PD-1, LAG3, CTLA4, and BTLA were also differently expressed between the two groups. In patients with ccRCC, we created a 14-lncRNA-based predictor as a robust prognostic and predictive tool for OS.

摘要

预后较差的最常见肾癌类型是透明细胞肾细胞癌(ccRCC)。近年来,焦亡被证明是一种炎症性程序性细胞死亡。在本研究中,我们利用ccRCC中与焦亡相关的差异表达lncRNA来开发一种预测性多lncRNA特征。我们发现了14种具有不同表达模式且与ccRCC预后相关的lncRNA。Kaplan-Meier分析确定了一种与ccRCC预后不良相关的高危lncRNA特征。此外,lncRNA特征的AUC为0.771,表明它们可用于预测ccRCC预后。在预测ccRCC预后方面,我们的风险分析方法优于标准临床病理特征。在低风险组中,基因集富集分析(GSEA)表明了肿瘤相关通路。发现T细胞共抑制和T细胞共刺激等T细胞功能在两组中表达不同。包括PD-1、LAG3、CTLA4和BTLA在内的免疫检查点在两组之间也有不同表达。在ccRCC患者中,我们创建了一种基于14种lncRNA的预测指标,作为一种强大的总生存期预后和预测工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69b5/8577956/c80d22596f84/JO2021-9997185.001.jpg

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