[1]郭俊峰,郭俊峰,张纲,等.口腔鳞状细胞癌增殖相关基因预后评估模型的建立[J].第三军医大学学报,2020,42(18):1836-1841.
 GUO Junfeng,GUO Junfeng,ZHANG Gang,et al.Establishment of a prognostic model based on proliferationrelated genes in oral squamous cell carcinoma[J].J Third Mil Med Univ,2020,42(18):1836-1841.
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口腔鳞状细胞癌增殖相关基因预后评估模型的建立
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《第三军医大学学报》[ISSN:1000-5404/CN:51-1095/R]

卷:
42卷
期数:
2020年第18期
页码:
1836-1841
栏目:
临床医学
出版日期:
2020-09-30

文章信息/Info

Title:
Establishment of a prognostic model based on proliferationrelated genes in oral squamous cell carcinoma
作者:
郭俊峰郭俊峰张纲谭颖徽
陆军军医大学(第三军医大学)第二附属医院口腔科;陆军军医大学(第三军医大学)第一附属医院骨科运动医学中心
Author(s):
GUO Junfeng GUO JunfengZHANG Gang TAN Yinghui

Department of Stomatology, Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, 400037; 2Orthopaedic Sports Medicine Center, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China

 

关键词:
口腔鳞状细胞癌增殖预后
Keywords:
oral squamous cell carcinoma proliferation prognosis  
分类号:
R195.1;R394.3;R739.85
文献标志码:
A
摘要:

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1 899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。

Abstract:

ObjectiveTo establish a risk regression model based on proliferationrelated genes in oral squamous cell carcinoma (OSCC) for evaluating the prognosis of patients with OSCC. MethodsWe retrieved 1 899 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. ResultsEight genes (APP, STC1, SFRP1, ABCB1, HPRT1, ZAP70, ST8SIA1, 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). ConclusionThe 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.

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更新日期/Last Update: 2020-09-22