首页|基于生物信息学构建头颈部鳞癌微小RNAs预后预测模型

基于生物信息学构建头颈部鳞癌微小RNAs预后预测模型

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目的 探究头颈部鳞癌(HNSCC)中微小RNAs(miRNAs)表达情况与无复发生存期之间的相关性,并构建预后预测模型.方法 利用TCGA数据库获取头颈部鳞癌的miRNAs表达谱与临床信息,通过单因素和多因素COX分析筛选出与无复发生存期相关的miRNAs,构建预后预测模型,并用受试者工作特征(ROC)曲线验证模型的准确度.通过京都基因与基因组百科全书(KEGG)和基因本体(GO)富集分析进一步探究miRNAs在细胞通路和分子功能方面的生物学意义.结果 筛选出 7 个与预后相关的miRNAs(miR-502-5p、miR-499-5p、miR-216a-5p、miR-548e-3p、miR-203-3p、miR-6837-5p和miR-320b)用以构建模型,Kaplan-Meier结果显示高风险组患者的无复发生存期低于低风险组患者(P<0.001).ROC曲线显示,训练集、测试集和整集的 5a生存期曲线下面积分别为0.888、0.599、0.701.基因富集分析结果提示,miRNAs与局部黏附通路、调节干细胞多能性信号通路、转化生长因子-β信号通路、Wnt信号通路、FoxO信号通路等密切相关.结论 本研究构建的HNSCC miRNAs预后预测模型可有效预测患者的无复发生存期,并作为判断预后的重要指标.
Construction of a micro RNAs prognostic model for head and neck squamous cell car-cinoma based on bioinformatics
Objective To explore the correlation between micro RNAs(miRNAs)expression profiles in head and neck squamous cell carcinoma(HNSCC)and the recurrence-free survival period,and to build a prognostic prediction mod-el.Methods miRNAs expression profiles and clinical information of HNSCC were obtained from the The Cancer Genome Atlas(TCGA)database.Univariate and multivariate COX regression analysis were performed to screen for miRNAs related to disease-free survival,and a prognostic model was constructed.The accuracy of the model was validated using receiver op-erating characteristic(ROC)curve analysis.Kyoto encyclopedia of genes and genomes(KEGG)and Gene Ontology(GO)enrichment analysis were used to further investigate the biological significance of miRNAs in cellular pathways and molecular functions.Results Seven miRNAs(miR-502-5p,miR-499-5p,miR-216a-5p,miR-548e-3p,miR-203-3p,miR-6837-5p and miR-320b)related to prognosis were screened and used to construct the model.Kaplan-Meier analysis showed that the disease-free survival of high-risk group patients was lower than that of low-risk group patients(P<0.001).The ROC curve analysis showed that the 5-year survival area under the curve of the training set,test set and whole set were 0.888,0.599 and 0.701,respectively.Gene enrichment analysis suggested that miRNAs were closely related to local adhesion pathways,regulation of stem cell pluripotency signaling pathways,transforming growth factor-β signaling pathways,Wnt signaling pathways,FoxO signaling pathways,etc.Conclusion The miRNAs prognostic model of HNSCC constructed in this study can effectively predict the disease-free survival of patients and serve as an important indicator for assessing prognosis.

head and neck squamous cell carcinomamicro RNAsprognosisthe cancer genome atlas

张玉琳、王乐、彭际霖、翟梓羽、袁思洁、叶放蕾

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郑州大学第一附属医院耳鼻咽喉头颈外科,河南 郑州 450052

头颈部鳞癌 微小RNAs 预后 癌症基因组图谱

国家自然科学基金资助项目河南省医学科技攻关计划项目

82002876SBGJ202103062

2024

肿瘤基础与临床
河南省抗癌协会,郑州大学,河南省肿瘤医院,河南省肿瘤研究所

肿瘤基础与临床

影响因子:0.861
ISSN:1673-5412
年,卷(期):2024.37(5)