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竞争性内源性RNA网络的综合分析揭示了卵巢癌中的一种11长链非编码RNA预后特征。

Integrated analysis of a competing endogenous RNA network reveals an 11-lncRNA prognostic signature in ovarian cancer.

作者信息

Zhang Yongjian, Zhou Hu, Zhang Meiyin, Xing Linan, Yang Chang, Xia Bairong, Lou Ge

机构信息

Department of Gynecology Oncology, Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China.

Department of Gynecology Oncology, The First Affiliated Hospital of USTC, Division of Life Science and Medicine, University of Science and Technology of China, Hefei 230001, Anhui Province, China.

出版信息

Aging (Albany NY). 2020 Nov 20;12(24):25153-25171. doi: 10.18632/aging.104116.

Abstract

Long noncoding RNA (lncRNA) can function as a competing endogenous RNA (ceRNA) involved in tumor initiation and progression. However, the prognostic roles of lncRNAs in the integrated analysis of the ceRNA network in ovarian cancer (OVC) are still lacking. This study aimed to identify lncRNAs associated with the prognosis of OVC. Differential expression analysis and WGCNA were used to screen OVC-specific RNAs. A lncRNA-miRNA-mRNA regulatory network consisting of 201 lncRNAs, 85 miRNA and 146 mRNAs was constructed, and functional enrichment and protein-protein network analyses were performed. Then, the OVC-specific RNAs were submitted to Cox regression analysis. Twelve differentially expressed lncRNAs and mRNAs were identified as significantly associated with OS of OVC patients. Meanwhile, 11 lncRNAs (including , , ) were established as prognostic risk formulas. The low-risk group had better OS and DFS than the high-risk group ( <0.01). Univariate and multivariate Cox regression analyses revealed the 11-lncRNA risk score as an independent prognostic factor. A prognostic nomogram was developed based on independent prognostic factors. Our data provide evidence that the 11-lncRNA signature could serve as an independent prognostic indicator. This study also suggests that these 11 lncRNAs potentially participate in the progression of OVC.

摘要

长链非编码RNA(lncRNA)可作为竞争性内源性RNA(ceRNA)参与肿瘤的发生和发展。然而,lncRNAs在卵巢癌(OVC)ceRNA网络综合分析中的预后作用仍不明确。本研究旨在鉴定与OVC预后相关的lncRNAs。采用差异表达分析和加权基因共表达网络分析(WGCNA)筛选OVC特异性RNA。构建了一个由201个lncRNAs、85个miRNA和146个mRNAs组成的lncRNA-miRNA-mRNA调控网络,并进行了功能富集和蛋白质-蛋白质网络分析。然后,将OVC特异性RNA进行Cox回归分析。鉴定出12个差异表达的lncRNAs和mRNAs与OVC患者的总生存期(OS)显著相关。同时,建立了11个lncRNAs(包括 、 、 )的预后风险公式。低风险组的OS和无病生存期(DFS)均优于高风险组(<0.01)。单因素和多因素Cox回归分析显示,11-lncRNA风险评分是独立的预后因素。基于独立预后因素绘制了预后列线图。我们的数据表明,11-lncRNA特征可作为独立的预后指标。本研究还提示这11个lncRNAs可能参与了OVC的进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7803494/e8e13db9649e/aging-12-104116-g001.jpg

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