加权基因共表达网络分析筛选结肠腺癌预后相关的免疫标志物

Identification of immune-related prognostic signature for colon adenocarcinoma based on weighted ggene co-exipression network analysis

目的寻找结肠腺癌(COAD)免疫相关预后标志物,以期能够准确预测COAD患者预后。方法基于癌症基因组图谱(TCGA)数据库分析COAD患者免疫相关差异基因,通过加权基因共表达网络分析(WGCNA)与COX回归分析得到风险模型,根据风险值的中位值将患者分为高、低风险组,比较两者预后,在基因表达数据集(GEO)数据库中验证模型。结果通过分析共得到1015个免疫相关差异基因。COX回归分析得到由维甲酸受体相关孤核受体C(RORC)、富含亮氨酸重复序列Fli-I相互作用蛋白2(LRRFIP2)、半乳糖凝集素4(LGALS4)构成的风险模型,高风险组较低风险组预后较差并在GEO中得到验证,通过单因素与多因素COX分析发现模型可作为COAD患者独立预后风险模型。结论通过免疫相关预后差异基因建立模型,可以预测COAD患者预后。

Objective To identify immune-related molecular markers in an attempt to predict prognosis of colon adenocarcinoma(COAD).Methods Immune related genes(IREGs)was analyzed based on the TCGA database.Weighted gene co-expression network analysis(WGCNA)and Cox regression analysis were used to establish risk models.According to the median risk score,COAD patients were divided into high risk and low risk groups.The prognostic difference were compared between the two groups.The function of the model was validated using GEO.Results A total of 1015 IREGs was obtained.The established model consisted of three genes:RAR related orphan receptor C(RORC),leucine-rich repeat Fli-I-interacting protein 2(LRRFIP2)and lectin galactoside-binding soluble galectin 4(LGALS4).The high-risk group had significantly poorer prognosis than low-risk group in the GEO database,and it was validated using a GEO database.Further analysis via univariate and multivariate Cox regression analyses revealed that risk model could function as independent prognostic factor for COAD patients.Conclusion The risk model based on IREGs can predict the prognosis of patients with COAD.