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一种潜在的卵巢癌免疫相关长链非编码RNA预后标志物

A Potential Immune-Related Long Non-coding RNA Prognostic Signature for Ovarian Cancer.

作者信息

Pan Xue, Bi Fangfang

机构信息

Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.

出版信息

Front Genet. 2021 Jul 21;12:694009. doi: 10.3389/fgene.2021.694009. eCollection 2021.

DOI:10.3389/fgene.2021.694009
PMID:34367253
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8335165/
Abstract

Ovarian cancer (OC), the most lethal gynecologic malignancy, ranks fifth in cancer deaths among women, largely because of late diagnosis. Recent studies suggest that the expression levels of immune-related long non-coding RNAs (lncRNAs) play a significant role in the prognosis of OC; however, the potential of immune-related lncRNAs as prognostic factors in OC remains unexplored. In this study, we aimed to identify a potential immune-related lncRNA prognostic signature for OC patients. We used RNA sequencing and clinical data from The Cancer Genome Atlas and the Gene Expression Omnibus database to identify immune-related lncRNAs that could serve as useful biomarkers for OC diagnosis and prognosis. Univariate Cox regression analysis was used to identify the immune-related lncRNAs with prognostic value. Functional annotation of the data was performed through the GenCLiP310 website. Seven differentially expressed lncRNAs (AC007406.4, AC008750.1, AL022341.2, AL133351.1, FAM74A7, LINC02229, and HOXB-AS2) were found to be independent prognostic factors for OC patients. The Kaplan-Meier curve indicated that patients in the high-risk group had a poorer survival outcome than those in the low-risk group. The receiver operating characteristic curve revealed that the predictive potential of the immune-related lncRNA signature for OC was robust. The prognostic signature of the seven lncRNAs was successfully validated in the GSE9891, GSE26193 datasets and our clinical specimens. Multivariate analyses suggested that the signature of the seven lncRNAs was an independent prognostic factor for OC patients. Finally, we constructed a nomogram model and a competing endogenous RNA network related to the lncRNA prognostic signature. In conclusion, our study reveals novel immune-related lncRNAs that may serve as independent prognostic factors in OC.

摘要

卵巢癌(OC)是最致命的妇科恶性肿瘤,在女性癌症死亡原因中排名第五,主要是因为诊断较晚。最近的研究表明,免疫相关长链非编码RNA(lncRNA)的表达水平在OC的预后中起重要作用;然而,免疫相关lncRNA作为OC预后因素的潜力仍未得到探索。在本研究中,我们旨在为OC患者确定一种潜在的免疫相关lncRNA预后特征。我们使用来自癌症基因组图谱(The Cancer Genome Atlas)和基因表达综合数据库(Gene Expression Omnibus database)的RNA测序和临床数据,以识别可作为OC诊断和预后有用生物标志物的免疫相关lncRNA。单变量Cox回归分析用于识别具有预后价值的免疫相关lncRNA。通过GenCLiP310网站对数据进行功能注释。发现七个差异表达的lncRNA(AC007406.4、AC008750.1、AL022341.2、AL133351.1、FAM74A7、LINC02229和HOXB-AS2)是OC患者的独立预后因素。Kaplan-Meier曲线表明,高危组患者的生存结果比低危组患者差。受试者工作特征曲线显示,免疫相关lncRNA特征对OC的预测潜力很强。七个lncRNA的预后特征在GSE9891、GSE26193数据集和我们的临床标本中得到成功验证。多变量分析表明,七个lncRNA的特征是OC患者的独立预后因素。最后,我们构建了一个列线图模型和一个与lncRNA预后特征相关的竞争性内源性RNA网络。总之,我们的研究揭示了可能作为OC独立预后因素的新型免疫相关lncRNA。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/f39c7ff3ec4c/fgene-12-694009-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/57bda62be119/fgene-12-694009-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/9124d84fe69d/fgene-12-694009-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/1973f4b46787/fgene-12-694009-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/e9fee3231b21/fgene-12-694009-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/724b95d8e7c1/fgene-12-694009-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/28d511a9f663/fgene-12-694009-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/7094d3e39c3b/fgene-12-694009-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/4d59e54b4dee/fgene-12-694009-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/f39c7ff3ec4c/fgene-12-694009-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/57bda62be119/fgene-12-694009-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/9124d84fe69d/fgene-12-694009-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/1973f4b46787/fgene-12-694009-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/e9fee3231b21/fgene-12-694009-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/724b95d8e7c1/fgene-12-694009-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/28d511a9f663/fgene-12-694009-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/7094d3e39c3b/fgene-12-694009-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/4d59e54b4dee/fgene-12-694009-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f86/8335165/f39c7ff3ec4c/fgene-12-694009-g009.jpg

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