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Screening Prognostic Risk Signatures For Laryngeal Squamous Cell Carcinoma Based On Glycolytic Gene Expression Profile

Posted on:2022-09-14Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiuFull Text:PDF
GTID:2504306515983629Subject:Department of Otolaryngology Head and Neck Surgery
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Objective: Laryngeal squamous cell carcinoma is one of the most common malignant tumors of the head and neck.Current treatment strategies for laryngeal squamous cell carcinoma include a combination of multiple therapies.Despite improved diagnosis and treatment strategies and more accurate treatment methods,the 5-year survival rate of laryngeal squamous cell carcinoma has not increased significantly in the past 40 years.Therefore,early detection of laryngeal squamous cell carcinoma,exploration of its molecular markers and new therapeutic targets are essential.In this study,through bioinformatics analysis of transcriptome sequencing data and patient survival and clinical data of laryngeal squamous cell carcinoma,a predictive label of glycolysis-related genes was constructed as a prognostic risk marker.Methods : 1.Obtain data on gene expression profiles of laryngeal squamous cell carcinoma and normal tissues,as well as patient survival and clinical data from the TCGA Cancer Genome Atlas.2.Analyze the three glycolysis-related gene sets in GSEA and the differential expression between laryngeal squamous cell carcinoma and normal tissues to screen out the most significant genes,and use single factor and multifactor cox proportional regression models for glycolysis Screening of prognostic-related gene expression constructs predictive tags.3.The Kaplan-Meier curve is used to analyze the predictive power of the predictive label on the prognosis of patients with laryngeal squamous cell carcinoma,and the ROC curve verifies the prognostic efficacy of the predictive label.4.Use the c Bio Portal for Cancer Genomics online tool to analyze and screen the mutations of glycolysis-related genes in laryngeal squamous cell carcinoma.5.Univariate and multivariate Cox regression analysis of the correlation between the predicted label of glycolysis-related gene composition and other clinical variables.Results: 1.Obtain 111 cases of laryngeal squamous cell carcinoma tissues and 12 cases of normal tissues adjacent to laryngeal carcinoma gene expression profiles and clinical information of the corresponding patients.Combine the three glycolysis-related gene sets in GSEA with cross-analysis of differential expression between laryngeal squamous cell carcinoma and normal tissues,and use single-factor and multi-factor cox proportional regression models to screen and construct prognostic glycolysis-related gene expression Prediction labels,and screen out the risk prediction labels composed of the most significantly differentially expressed prognostic-related genes STC2 and LHPP.2.Screen the regression coefficients of the two glycolysis-related genes and the gene expression values of the patient’s tissue samples,and calculate the risk score of each patient.Using the formula,risk score=(0.044871×STC2expression value)+(-0.18179×LHPP expression value).The 111 patients with laryngeal squamous cell carcinoma in the selected gene data set were divided into a high-risk group(n=55)and a low-risk group(n=56)according to the median value of the risk score.3.Analyze the difference in prognosis of patients in the high-and low-risk groups.Compared with patients in the low-risk group,patients in the high-risk group and overall survival time were significantly reduced(P=0.003).The5-year prognostic power AUC value of the tested operating characteristic curve(ROC)analysis of the risk prediction label was 0.755,suggesting that the prediction label has an excellent performance in predicting the prognosis of patients with laryngeal squamous cell carcinoma.4.Univariate and multivariate Cox regression analysis evaluates whether the predictive labels of these two glycolysis-related genes are independent of clinically relevant variables.The results found that the risk score still has a significant correlation with the overall survival time(OS)of the patient.It suggests that the predictive label may be an independent prognostic factor for patients with laryngeal squamous cell carcinomaConclusions: STC2 is highly expressed in laryngeal squamous cell carcinoma,and may be related to the poor prognosis of head and neck squamous cell carcinoma.The predictive label composed of STC2 and LHPP may be an independent risk label for the prognosis of head and neck squamous cell carcinoma.This study newly constructed a predictive label related to glycolysis as a prognostic risk label for patients with laryngeal squamous cell carcinoma,providing new ideas and molecules for the research of laryngeal squamous cell carcinoma and the treatment of individualized tumor metabolic pathways Target.
Keywords/Search Tags:Laryngeal Squamous Cell Carcinoma, Glycolysis, Prognosis
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