Model Construction and Identification of Genome Instability-Associated lncRNA Signature Markers in Bladder Cancer

Q3 Nursing
Qi Zhao
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引用次数: 0

Abstract

Background: Studies have shown that long non-coding RNA (LncRNA) plays a critical role in maintaining genomic instability. As a new tumor marker, the correlation between lncRNA and genomic instability is still worth exploring in bladder cancer. Methods: Therefore, combined with the lncRNA expression profile and somatic mutation profile of bladder cancer, we established a computing framework of lncRNA related to genomic instability and identified 58 new lncRNA related to genomic instability. Next, we identified a lncRNA signature (GILncSig), based on these 58 new genes, which divided patients into high-risk and low-risk groups. The clinical prognosis was significantly different and was further verified in an independent cohort of patients. Results: We confirmed that GILncSig is related to the genomic mutation rate of bladder cancer, suggesting that GILncSig can be used as an indicator of genomic instability. The results show that GILncSig has prognostic value independent of age, sex, grade, and stage, and plays an important role in evaluating clinical prognosis. To sum up, this study provides an important research basis and methods for further exploring the role of lncRNA in genomic instability of bladder cancer, and provides a theoretical basis for the identification of bladder cancer biomarkers related to genomic instability.
膀胱癌基因组不稳定性相关lncRNA标记物的模型构建与鉴定
背景:研究表明,长链非编码RNA (LncRNA)在维持基因组不稳定性中起着至关重要的作用。lncRNA作为一种新的肿瘤标志物,在膀胱癌中与基因组不稳定性的相关性仍值得探索。方法:因此,结合膀胱癌的lncRNA表达谱和体细胞突变谱,我们建立了基因组不稳定相关lncRNA的计算框架,并鉴定出58个新的基因组不稳定相关lncRNA。接下来,我们基于这58个新基因确定了一个lncRNA特征(GILncSig),将患者分为高风险和低风险组。临床预后有显著差异,并在独立的患者队列中得到进一步验证。结果:我们证实了GILncSig与膀胱癌基因组突变率相关,提示GILncSig可以作为基因组不稳定性的指标。结果显示,GILncSig具有独立于年龄、性别、分级、分期的预后价值,在评价临床预后方面具有重要作用。综上所述,本研究为进一步探索lncRNA在膀胱癌基因组不稳定性中的作用提供了重要的研究基础和方法,为鉴定与基因组不稳定性相关的膀胱癌生物标志物提供了理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Nursing
Journal of Nursing Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
14
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