基于生物信息学分析的CXCL13在子宫内膜癌中的表达及预后

IF 2.9 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Zhu Wang, Yongning Gao
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引用次数: 0

摘要

目的:趋化因子配体C-X-C基序趋化因子配体13 (CXCL13)的生物学意义可能在子宫肌体子宫内膜癌(UCEC)的发病过程中发挥重要作用。本研究旨在鉴别并验证CXCL13对UCEC预后的预测价值。方法:采用R软件对来自癌症基因组图谱(TCGA)和基因表达图谱(GEO)的三个独立数据集(GSE17025和GSE106191)中的CXCL13 mRNA表达差异进行分析。应用Kaplan-Meier分析评估CXCL13表达与预后的相关性。单因素和多因素Cox分析用于构建预后nomogram。采用肿瘤免疫估计资源(Tumor Immune Estimation Resource, TIMER)和肿瘤与免疫系统相互作用数据库(Tumor and Immune System Interaction Database, TISIDB)评估CXCL13与肿瘤免疫浸润的关系。通过Spearman相关分析确定与CXCL13共表达的基因。利用STRING网站工具构建CXCL13蛋白-蛋白相互作用(PPI)网络,筛选中心基因。基因本体(GO)和京都基因与基因组百科全书(KEGG)分析使用“clusterProfiler”R包进行。基因集富集分析(GSEA)用于鉴定潜在的生物学机制。在比较毒物基因组学数据库(CTD)中构建了药物-基因相互作用网络。结果:在上述三个独立的数据集中,证实了UCEC中CXCL13 mRNA的高表达。高表达的CXCL13与UCEC的良好预后相关。基于CXCL13表达及其他临床参数,构建预测UCEC患者1、3、5年生存率的nomogram。Spearman相关分析表明CXCL13与免疫细胞和免疫检查点(ICP)基因有一定的相关性。7个枢纽基因在UCEC中上调,分别是CXCL9、IFNG、CXCL10、CXCL11、GBP5、CCL18和GZMB。CXCL9、IFNG、GBP5、GZMB的表达及预后相关性与CXCL13一致。富集的主要生物学过程为细胞因子-细胞因子受体相互作用和趋化因子信号通路。结论:以上综合分析表明,CXCL13可能作为UCEC的潜在预后生物标志物,特别是早期UCEC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Expression and prognosis of CXCL13 in uterine corpus endometrial carcinoma based on bioinformatics analysis.

Objective: The biological significance of the chemokine ligand C-X-C motif chemokine ligand 13 (CXCL13) may play a significant role in the pathogenesis of uterine corpus endometrial carcinoma (UCEC). This study aims to identify and verify CXCL13 with predictive value for prognosis in UCEC.

Methods: CXCL13 mRNA expression differences were analyzed using R software in three independent datasets: one each from The Cancer Genome Atlas (TCGA) and two from the Gene Expression Omnibus (GEO), namely GSE17025 and GSE106191. The correlation between CXCL13 expression and prognosis was evaluated by Kaplan-Meier analysis. Univariate and multivariate Cox analyses were utilized to construct a prognostic nomogram. Tumor Immune Estimation Resource (TIMER) and the Tumor and Immune System Interaction Database (TISIDB) were employed to assess the relationship between CXCL13 and tumor immune infiltration. Coexpressed genes with CXCL13 were identified by the Spearman correlation analysis. A CXCL13 protein-protein interaction (PPI) network was constructed with the STRING website tool and hub genes were screened out. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) analyses were performed with the "clusterProfiler" R package. Gene set enrichment analysis (GSEA) was used to identify underlying biological mechanisms. A drug-gene interaction network was constructed in the Comparative Toxicogenomics Database (CTD).

Results: High CXCL13 mRNA expression were validated in UCEC in the above three independent datasets. High CXCL13 expression was associated with favorable prognosis in UCEC. A nomogram for predicting the 1-, 3-, and 5-year survival probability in UCEC was construct based on CXCL13 expression and other clinical parameters. The use of Spearman correlation indicated certain correlation between CXCL13 and immune cells and immune checkpoint (ICP) genes. Seven hub genes were upregulated in UCEC, namely CXCL9, IFNG, CXCL10, CXCL11, GBP5, CCL18, and GZMB. The expression and prognostic relevance of CXCL9, IFNG, GBP5, and GZMB were in accordance with CXCL13. The main biological processes enriched were cytokine-cytokine receptor interaction and chemokine signaling pathway.

Conclusions: The above comprehensive analyses suggest that CXCL13 may serve as a potential prognostic biomarker for UCEC, specifically for early-stage UCEC.

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来源期刊
Discover. Oncology
Discover. Oncology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
2.40
自引率
9.10%
发文量
122
审稿时长
5 weeks
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