口腔鳞状细胞癌增殖相关基因预后评估模型的建立

Establishment of a prognostic model based on proliferation-related genes in oral squamous cell carcinoma

目的建立口腔鳞状细胞癌(oral squamous cell carcinoma,OSCC)增殖相关基因(proliferation-associated differentially expressed genes,PADEGs)风险回归模型,评估患者预后情况。方法从MSigDB数据库中收集了1899个增殖相关基因,在TCGA数据库中下载OSCC患者基因表达及临床数据,将OSCC患者按照7∶3的比例分到训练组和验证组,通过Wilcoxon秩和检验获得了癌和癌旁组织中表达有差异的PADEGs,通过单因素Cox分析、Lasso回归分析,构建增殖相关基因风险回归模型,并通过生存分析、独立预后分析评估该模型的准确性。将验证组OSCC患者数据代入模型进行验证。结果筛选出了8个建模基因(APP、STC1、SFRP1、ABCB1、HPRT1、ZAP70、ST8SIA1、ADGRG1),构建了风险回归模型。具有高风险评分的OSCC患者预后较差(P<0.01),该增殖相关基因风险回归模型评分可作为OSCC患者独立预后因素(P<0.01)。结论成功建立了口腔鳞状细胞癌增殖相关基因风险回归模型,它可能在口腔鳞状细胞癌患者临床干预和管理中成为可靠的预后指标。

Objective To establish a risk regression model based on proliferation-related genes in oral squamous cell carcinoma(OSCC)for evaluating the prognosis of patients with OSCC.Methods We retrieved 1899 proliferation-related genes from the Molecular Signatures Database(MSigDB)and down-loaded from Cancer Genome Atlas(TCGA)the gene expression and clinical data of OSCC patients,who were randomly divided into the training group and validation group at the ratio of 7:3.The proliferation-associated differentially expressed genes(PADEGs)between OSCC and adjacent tissues were identified by Wilcoxon test.The proliferation-related gene risk regression model was constructed by single factor Cox analysis and Lasso regression analysis,and the accuracy of the model was evaluated through survival analysis and independent prognosis analysis.The constructed model was further verified using the data of OSCC patients in the validation group.Results Eight genes(APP,STC1,SFRP1,ABCB1,HPRT1,ZAP70,ST8 SIA1,and ADGRG1)were screened for construction of the risk regression model.The OSCC patients with high risk scores calculated with the constructed model had significantly poorer prognosis(P<0.01).The score of the risk regression model based on the proliferation-related genes was an independent prognostic factor in OSCC patients(P<0.01).Conclusion The proliferation-related gene risk regression model provides a reliable means for evaluating the prognosis of OSCC patients to facilitate clinical interventions and management of the patients.