基于 6 个糖酵解-免疫相关基因构建的口腔鳞状细胞癌预后风险评分模型。
A prognostic Risk Score model for oral squamous cell carcinoma constructed by 6 glycolysis-immune-related genes.
机构信息
Department of Stomatology, Tianjin First Central Hospital, Nankai District, No.24 Fukang Road, Tianjin, 300192, People's Republic of China.
出版信息
BMC Oral Health. 2022 Aug 3;22(1):324. doi: 10.1186/s12903-022-02358-0.
BACKGROUND
Oral squamous cell carcinoma (OSCC) is the most frequent tumor of the head and neck. The glycolysis-related genes and immune-related genes have been proven prognostic values in various cancers. Our study aimed to test the prognostic value of glycolysis-immune-related genes in OSCC.
METHODS
Data of OSCC patients were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Enrichment analysis was applied to the glycolysis- and immune-related genes screened by differential expression analysis. Univariate Cox and LASSO Cox analyses were used to filtrate the genes related to the prognosis of OSCC and to construct Risk Score model.
RESULTS
A Risk Score model was constructed by six glycolysis-immune-related genes (including ALDOC, VEGFA, HRG, PADI3, IGSF11 and MIPOL1). High risk OSCC patients (Risk Score >-0.3075) had significantly worse overall survival than that of low risk patients (Risk Score <-0.3075).
CONCLUSIONS
The Risk Score model constructed basing on 6 glycolysis-immune-related genes was reliable in stratifying OSCC patients with different prognosis.
背景
口腔鳞状细胞癌（OSCC）是头颈部最常见的肿瘤。已证实糖酵解相关基因和免疫相关基因在各种癌症中有预后价值。我们的研究旨在检验糖酵解-免疫相关基因在 OSCC 中的预后价值。
方法
从癌症基因组图谱（TCGA）和基因表达综合数据库（GEO）中获取 OSCC 患者的数据。通过差异表达分析筛选出糖酵解和免疫相关基因，并进行富集分析。采用单因素 Cox 和 LASSO Cox 分析筛选与 OSCC 预后相关的基因，并构建风险评分模型。
结果
通过 6 个糖酵解-免疫相关基因（包括 ALDOC、VEGFA、HRG、PADI3、IGSF11 和 MIPOL1）构建了风险评分模型。高风险 OSCC 患者（风险评分＞-0.3075）的总生存期明显差于低风险患者（风险评分＜-0.3075）。
结论
基于 6 个糖酵解-免疫相关基因构建的风险评分模型可可靠地区分具有不同预后的 OSCC 患者。
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