宫颈鳞状细胞癌预后的选择性剪接特征

IF 1.9 4区 生物学 Q4 CELL BIOLOGY IET Systems Biology Pub Date : 2020-09-21 DOI:10.1049/iet-syb.2019.0095
Hua-yu Wu, Qi-qi Li, Liang Liang, Lan-lan Qiu, Hong-wei Wei, Bing-ying Huang, Chen Gang-, Rong-quan He, Zhi-guang Huang, Wei Hou, Qi-ping Hu, Shang-ling Pan
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引用次数: 5

摘要

基于选择性剪接事件(ASEs)数据库,作者旨在探索宫颈鳞状细胞癌(CESC)的潜在预后生物标志物。从癌症基因组图谱(TCGA)中获得223例CESC患者的mRNA表达谱和相关临床数据。相关基因、ase和百分比剪接(PSI)分别从SpliceSeq下载。生存相关的选择性剪接事件(SASEs)的PSI值被用来构建预后指数(PI)的基础。利用STRING生成了SASEs相关基因的蛋白-蛋白相互作用(PPI)网络,并用基因本体(GO)和京都基因与基因组百科全书(KEGG)进行了分析。结果,在19,724个基因中发现了41,776个ase,其中2596个与3669个sase相关。SASEs相关基因的PPI网络显示TP53和UBA52是核心基因。低危组的生存期较高危组长,两组均根据前20个剪接事件构建的PI或剪接事件总体PI来定义。ROC的AUC值高达0.88,显示了PI在CESC中的预后潜力。这些发现表明,ASEs参与了CESC的发病机制,并可能作为这种女性恶性肿瘤的预后生物标志物。
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Prognostic alternative splicing signature in cervical squamous cell carcinoma

Basing on alternative splicing events (ASEs) databases, the authors herein aim to explore potential prognostic biomarkers for cervical squamous cell carcinoma (CESC). mRNA expression profiles and relevant clinical data of 223 patients with CESC were obtained from The Cancer Genome Atlas (TCGA). Correlated genes, ASEs and percent-splice-in (PSI) were downloaded from SpliceSeq, respectively. The PSI values of survival-associated alternative splicing events (SASEs) were used to construct the basis of a prognostic index (PI). A protein–protein interaction (PPI) network of genes related to SASEs was generated by STRING and analysed with Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Consequently, 41,776 ASEs were discovered in 19,724 genes, 2596 of which linked with 3669 SASEs. The PPI network of SASEs related genes revealed that TP53 and UBA52 were core genes. The low-risk group had a longer survival period than high-risk counterparts, both groups being defined according to PI constructed upon the top 20 splicing events or PI on the overall splicing events. The AUC value of ROC reached up to 0.88, demonstrating the prognostic potential of PI in CESC. These findings suggested that ASEs involve in the pathogenesis of CESC and may serve as promising prognostic biomarkers for this female malignancy.

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来源期刊
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
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