| Objective: Globally,the incidence and mortality of lung cancer remain high among malignancies.The common types of lung cancer mainly include adenocarcinoma and squamous cell carcinoma.In recent years,the relevant studies on lung adenocarcinoma have been in-depth,and relevant targeted drugs for non-squamous cell carcinoma with positive driver genes have been put into clinical practice.However,for lung squamous cell carcinoma,drug research is relatively slow due to its unique molecular biology and histopathological characteristics.Therefore,it is particularly important to find gene targets for lung squamous carcinoma.This paper mainly using bioinformatics methods to screen the related hub genes differentially expressed in lung squamous carcinoma through the TCGA database,and combined with clinical data,obtain the correlation between differentially expressed hub genes and clinical factors,so as to provide the potential of the research in lung squamous carcinoma gene targets,and provide a new direction for the clinical diagnosis and prognosis.Methods: Through TCGA database access to lung squamous carcinoma mRNA expression matrix,by using R software for lung squamous cell carcinomas of the differentially expressed genes,the main biological pathways of lung squamous carcinoma were obtained through GO annotation and KEGG pathway enrichment analysis.The Hub genes were analyzed through protein interaction network,and these Hub genes were validated in the Oncomine database.CCNB1 mRNA was selected as the object of this study by screening,at the same time to download the corresponding clinical data and combined with mRNA expression matrix,using the univariate and Multivariate COX regression analysis,constructing and evaluating a model associated with prognosis of lung squamous cell carcinoma,and the expression of CCNB1 mRNA in different clinical parameter subgroups was analyzed as well as the prognostic analysis of the differential expression of CCNB1 mRNA in each study factor.The judgment criteria were as follows: P < 0.05 indicated that the difference was significant.Results:1.The differentially expressed hub genes of lung squamous cell carcinoma were mined by TCGA database,and seven differentially expressed hub genes were obtained after validation by Oncomine database,including AURKB,BUB1 B,CCNB1,KIF11,CDK1,KIF2 C and CDC20.Abnormal expression of these genes may be involved in the mitotic process of lung squamous cell carcinoma and play an important role in the occurrence and development of tumors;2.Combined with clinical data,constructing a relevant prognostic model for individualized prediction of 1-year,3-year and 5-year survival rates of lung squamous cell carcinoma patients,found that gender,age,smoking,T staging and CCNB1 mRNA expression were quantity significantly associated with the prognosis of lung squamous cell carcinoma patients,thus obtaining that CCNB1 mRNA expression level could be an independent risk factor for poor prognosis of lung squamous carcinoma patients,and providing a new research idea for further clinical treatment and prognosis in lung squamous cell carcinoma;3.The subgroup analysis of CCNB1 mRNA expression level and various study factors showed that low CCNB1 mRNA expression in men,small tumor diameter,late lymph node metastasis,no distant metastasis,and early pathological stage indicated relatively good prognosis.Conclusions:1.Seven differentially expressed hub genes such as AURKB,BUB1 B,CCNB1,KIF11,CDK1,KIF2 C and CDC20 were obtained,the abnormal expression of these genes may be involved in the mitotic process of lung squamous cell carcinoma.2.To construct a prognostic model of lung squamous cell carcinoma,to individually predict the survival rate of patients with lung squamous cell carcinoma,and to evaluate the prognostic value of tumorigenesis and development.3.CCNB1 mRNA can be used as an independent risk factor for poor prognosis of patients with lung squamous cell carcinoma,High expression of CCNB1 mRNA indicates poor prognosis. |
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