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可变剪接事件在肝细胞癌中具有预后价值。

Alternative splicing events are prognostic in hepatocellular carcinoma.

作者信息

Chen Qi-Feng, Li Wang, Wu Peihong, Shen Lujun, Huang Zi-Lin

机构信息

Department of Medical Imaging and Interventional Radiology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, P.R. China.

State Key Laboratory of Oncology in South China, Guangzhou, Guangdong 510060, P.R. China.

出版信息

Aging (Albany NY). 2019 Jul 13;11(13):4720-4735. doi: 10.18632/aging.102085.

Abstract

Alternative splicing events (ASEs) play a role in cancer development and progression. We investigated whether ASEs are prognostic for overall survival (OS) in hepatocellular carcinoma (HCC). RNA sequencing data was obtained for 343 patients included in The Cancer Genome Atlas. Matched splicing event data for these patients was then obtained from the TCGASpliceSeq database, which includes data for seven types of ASEs. Univariate and multivariate Cox regression analysis demonstrated that 3,814 OS-associated splicing events (OS-SEs) were correlated with OS. Prognostic indices were developed based on the most significant OS-SEs. The prognostic index based on all seven types of ASEs (PI-ALL) demonstrated superior efficacy in predicting OS of HCC patients at 2,000 days compared to those based on single ASE types. Patients were stratified into two risk groups (high and low) based on the median prognostic index. Kaplan-Meier survival analysis demonstrated that PI-ALL had the greatest capacity to distinguish between patients with favorable vs. poor outcomes. Finally, univariate Cox regression analysis demonstrated that the expression of 23 splicing factors was correlated with OS-SEs in the HCC cohort. Our data indicate that a prognostic index based on ASEs is prognostic for OS in HCC.

摘要

可变剪接事件(ASEs)在癌症的发生和发展中起作用。我们研究了ASEs是否可作为肝细胞癌(HCC)总生存期(OS)的预后指标。获取了癌症基因组图谱中343例患者的RNA测序数据。然后从TCGASpliceSeq数据库中获取这些患者的匹配剪接事件数据,该数据库包含七种类型ASEs的数据。单因素和多因素Cox回归分析表明,3814个与OS相关的剪接事件(OS-SEs)与OS相关。基于最显著的OS-SEs制定了预后指数。与基于单一ASE类型的预后指数相比,基于所有七种类型ASEs的预后指数(PI-ALL)在预测HCC患者2000天时的OS方面显示出更高的效能。根据预后指数中位数将患者分为两个风险组(高风险和低风险)。Kaplan-Meier生存分析表明,PI-ALL区分预后良好和不良患者的能力最强。最后,单因素Cox回归分析表明,23种剪接因子的表达与HCC队列中的OS-SEs相关。我们的数据表明,基于ASEs的预后指数可作为HCC患者OS的预后指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5af8/6660027/4af422aa335e/aging-11-102085-g001.jpg

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