Integrated analysis of a competing endogenous RNA network reveals a ferroptosis-related 6-lncRNA prognostic signature in clear cell renal cell carcinoma.

IF 2.1 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Qing Zheng, Zhenqi Gong, Shaoxiong Lin, Dehua Ou, Weilong Lin, Peilin Shen
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引用次数: 0

Abstract

Background: Establishing a robust signature for prognostic prediction and precision treatment is necessary due to the heterogeneous prognosis and treatment response of clear cell renal cell carcinoma (ccRCC).

Objectives: This study set out to elucidate the biological functions and prognostic role of ferroptosis-related long non-coding RNAs (lncRNAs) based on a synthetic analysis of competing endogenous RNA networks in ccRCC.

Material and methods: Ferroptosis-related genes were obtained from the FerrDb database. The expression data and matched clinical information of lncRNAs, miRNAs and mRNAs from The Cancer Genome Atlas (TCGA) database were obtained to identify differentially expressed RNAs. The lncRNA-miRNA-mRNA ceRNA network was established utilizing the common miRNAs that were predicted in the RNAHybrid, StarBase and TargetScan databases. Then, using progressive univariate Cox regression, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis of gene expression data and clinical information, a ferroptosis-related lncRNA prognosis signature was constructed based on the lncRNAs in ceRNA. Finally, the influence of independent lncRNAs on ccRCC was explored.

Results: A total of 35 ferroptosis-related mRNAs, 356 lncRNAs and 132 miRNAs were sorted out after differential expression analysis in the TCGA-KIRC. Subsequently, overlapping lncRNA-miRNA and miRNA-mRNA interactions among the RNAHybrid, StarBase and TargetScan databases were constructed and identified; then a ceRNA network with 77 axes related to ferroptosis was established utilizing mutual miRNAs in 2 interaction networks as nodes. Next, a 6-ferroptosis-lncRNA signature including PVT1, CYTOR, MIAT, SNHG17, LINC00265, and LINC00894 was identified in the training set. Kaplan-Meier analysis, PCA, t-SNE analysis, risk score curve, and receiver operating characteristic (ROC) curve were performed to confirm the validity of the signature in the training set and verified in the validation set. Finally, single-sample gene set enrichment analysis (ssGSEA) and ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data) analysis showed that the signature was related to immune cell infiltration.

Conclusions: Our research underlines the role of the 6-ferroptosis-lncRNA signature as a predictor of prognosis and a therapeutic alternative for ccRCC.

对竞争性内源性 RNA 网络的综合分析揭示了透明细胞肾细胞癌中与铁突变相关的 6-lncRNA 预后特征。
背景:由于透明细胞肾癌(ccRCC)的预后和治疗反应各不相同,因此有必要建立一个用于预后预测和精准治疗的强大特征:由于透明细胞肾细胞癌(ccRCC)的预后和治疗反应各不相同,因此有必要建立一个用于预后预测和精准治疗的强大特征:本研究旨在基于对ccRCC中竞争性内源性RNA网络的合成分析,阐明铁蛋白沉积相关长非编码RNA(lncRNA)的生物学功能和预后作用:从FerrDb数据库中获取铁蛋白沉积相关基因。从癌症基因组图谱(TCGA)数据库中获取lncRNA、miRNA和mRNA的表达数据和匹配的临床信息,以识别差异表达的RNA。利用RNAHybrid、StarBase和TargetScan数据库中预测的常见miRNA,建立了lncRNA-miRNA-mRNA ceRNA网络。然后,利用渐进式单变量 Cox 回归、最小绝对收缩和选择算子(LASSO)以及对基因表达数据和临床信息的多变量 Cox 回归分析,根据 ceRNA 中的 lncRNA 构建了与铁昏迷相关的 lncRNA 预后特征。最后,探讨了独立的lncRNA对ccRCC的影响:结果:在TCGA-KIRC中进行差异表达分析后,共筛选出35个铁变态相关mRNA、356个lncRNA和132个miRNA。随后,构建并鉴定了RNAHybrid、StarBase和TargetScan数据库中重叠的lncRNA-miRNA和miRNA-mRNA之间的相互作用;然后,以2个相互作用网络中的相互miRNA为节点,建立了一个与铁变态反应相关的、包含77个轴的ceRNA网络。然后,在训练集中确定了包括 PVT1、CYTOR、MIAT、SNHG17、LINC00265 和 LINC00894 在内的 6 个铁变态反应-lncRNA 特征。通过卡普兰-梅耶分析、PCA、t-SNE 分析、风险评分曲线和接收者操作特征曲线(ROC),确认了训练集中特征的有效性,并在验证集中进行了验证。最后,单样本基因组富集分析(ssGSEA)和ESTIMATE(利用表达数据估算恶性肿瘤组织中的基质细胞和免疫细胞)分析表明,该特征与免疫细胞浸润有关:我们的研究强调了 6-ferroptosis-lncRNA 特征作为 ccRCC 预后预测指标和治疗选择的作用。
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来源期刊
Advances in Clinical and Experimental Medicine
Advances in Clinical and Experimental Medicine MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
3.70
自引率
4.80%
发文量
153
审稿时长
6-12 weeks
期刊介绍: Advances in Clinical and Experimental Medicine has been published by the Wroclaw Medical University since 1992. Establishing the medical journal was the idea of Prof. Bogumił Halawa, Chair of the Department of Cardiology, and was fully supported by the Rector of Wroclaw Medical University, Prof. Zbigniew Knapik. Prof. Halawa was also the first editor-in-chief, between 1992-1997. The journal, then entitled "Postępy Medycyny Klinicznej i Doświadczalnej", appeared quarterly. Prof. Leszek Paradowski was editor-in-chief from 1997-1999. In 1998 he initiated alterations in the profile and cover design of the journal which were accepted by the Editorial Board. The title was changed to Advances in Clinical and Experimental Medicine. Articles in English were welcomed. A number of outstanding representatives of medical science from Poland and abroad were invited to participate in the newly established International Editorial Staff. Prof. Antonina Harłozińska-Szmyrka was editor-in-chief in years 2000-2005, in years 2006-2007 once again prof. Leszek Paradowski and prof. Maria Podolak-Dawidziak was editor-in-chief in years 2008-2016. Since 2017 the editor-in chief is prof. Maciej Bagłaj. Since July 2005, original papers have been published only in English. Case reports are no longer accepted. The manuscripts are reviewed by two independent reviewers and a statistical reviewer, and English texts are proofread by a native speaker. The journal has been indexed in several databases: Scopus, Ulrich’sTM International Periodicals Directory, Index Copernicus and since 2007 in Thomson Reuters databases: Science Citation Index Expanded i Journal Citation Reports/Science Edition. In 2010 the journal obtained Impact Factor which is now 1.179 pts. Articles published in the journal are worth 15 points among Polish journals according to the Polish Committee for Scientific Research and 169.43 points according to the Index Copernicus. Since November 7, 2012, Advances in Clinical and Experimental Medicine has been indexed and included in National Library of Medicine’s MEDLINE database. English abstracts printed in the journal are included and searchable using PubMed http://www.ncbi.nlm.nih.gov/pubmed.
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