首页|口腔鳞状细胞癌免疫相关预后风险模型的构建与验证

口腔鳞状细胞癌免疫相关预后风险模型的构建与验证

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  • NETL
  • NSTL
  • 万方数据
目的:分析口腔鳞癌(oral squamous cell carcinoma,OSCC)中差异表达的免疫相关核心基因,构建OSCC患者的免疫相关预后风险模型.方法:对癌症基因组图谱(the cancer genome atlas,TCGA)数据库内的OSCC患者RNA测序数据进行加权基因共表达网络分析,识别免疫相关模块和关键基因.采用单因素Cox回归分析和生存分析,筛选与免疫预后相关的核心基因,构建OSCC的免疫相关预后风险模型;进一步采用Kaplan-Meier分析、受试者工作特征曲线和来自外部GSE41613数据集评估该预后风险模型的预测能力.应用实时荧光定量PCR(RT-qPCR)检测OSCC患者肿瘤组织样本中8个免疫预后核心基因的表达,计算风险评分,评估该评分与肿瘤浸润深度间的相关性.采用SPSS 21.0软件包对数据进行统计学分析.结果:成功构建基于8个免疫预后核心基因(CSF2RA、CLEC4C、COL5A3、CTSG、EDNRA、GPC4、GUCY1A2和ANGPT2)的口腔鳞癌预后风险模型.Kaplan-Meier分析、受试者工作特征曲线和外部GSE41613数据集验证显示,该模型具有良好的预后预测效能.基于该模型计算的OSCC患者的风险评分与肿瘤浸润深度呈正相关,表明该模型同时具有预测OSCC潜在风险的能力.结论:基于8个免疫预后核心基因构建的预后风险模型具有预测OSCC患者预后的能力,有望成为口腔鳞癌免疫防治的重要参考.
Construction and validation of an immune prognostic risk model in oral squamous cell carcinoma
PURPOSE:To analyze the immune-related core genes differentially expressed in oral squamous cell carcino-ma(OSCC)and construct an immune-related prognostic risk model for OSCC patients.METHODS:Weighted gene co-expression network analysis of RNA sequencing data from OSCC patients in the Cancer Genome Atlas(TCGA)database was conducted to identify immune-related modules and core genes.Core genes associated with immune prognosis were screened using univariate Cox regression analysis and survival analysis to construct an immune-related prognostic risk model for OSCC.The prognostic risk model's predictive ability was evaluated using Kaplan-Meier analysis,receiver oper-ating characteristic curves,and external datasets from GSE41613.The expression of 8 immune prognostic core genes in tu-mor samples from OSCC patients was detected by real-time quantitative PCR assay(RT-qPCR),and the correlation be-tween risk score and depth of invasion was assessed by calculating risk scores for OSCC patients.Statistical analysis was performed with SPSS 21.0 software package.RESULTS:Prognostic risk model for OSCC was successfully constructed based on 8 immune prognostic core genes(CSF2RA,CLEC4C,COL5A3,CTSG,EDNRA,GPC4,GUCY1A2,ANGPT2).The prognostic risk model demonstrated perfect predictive value validated using Kaplan-Meier analysis,receiver operating characteristic curve,and the GSE41613 dataset.The risk scores of OSCC patients calculated based on this model were positively correlated with the depth of invasion,indicating that the model have the ability to predict the potential risk of OSCC.CONCLUSIONS:An OSCC prognostic risk model is constructed based on the signatures of 8 immune prognostic core genes,which may effectively predict the prognosis of OSCC patients,providing an important reference for immune prevention of OSCC.

Oral squamous cell carcinomaWeighted gene co-expression network analysisImmune prognostic genesPrognostic risk model

赵娇、隋佰延、刘昕、阮敏

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潍坊医学院 口腔医学院,山东 潍坊 261053

上海交通大学医学院附属第九人民医院 上海生物材料研究测试中心,上海 200011

口腔颌面-头颈肿瘤科,上海交通大学口腔医学院,国家口腔医学中心,国家口腔疾病临床医学研究中心,上海市口腔医学重点实验室,上海市口腔医学研究所,上海 200011

口腔鳞状细胞癌 加权基因共表达网络分析 免疫预后相关基因 预后风险模型

国家自然科学基金上海市科学技术委员会科研项目上海交通大学医学院附属第九人民医院早期口腔癌的生物样本库上海交通大学医学院双百人计划

8207298321DZ2291700YBKA2022032022sbrrm

2024

10.19439/j.sjos.2024.04.003

上海口腔医学
上海交通大学医学院附属第九人民医院

上海口腔医学

CSTPCD
影响因子：0.776
ISSN：1006-7248
年,卷(期)：2024.33(4)