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M2型丙酮酸激酶在宫颈鳞状细胞癌和宫颈腺癌中临床意义的生物信息学分析

Bioinformatics analysis of the clinical significance of PKM2 in cervical squamous cell carcinoma and endocervical adenocarcinoma
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摘要 目的基于生物信息学方法分析M2型丙酮酸激酶(pyruvate kinase M2,PKM2)在宫颈鳞状细胞癌和宫颈腺癌(cervical squamous cell carcinoma and endocervical adenocarcinoma,CESC)中的临床意义。方法通过R软件分析PKM2基因在CESC和正常宫颈组织中的表达差异;GEPIA平台分析PKM2基因对CESC病人总生存期(overall survival,OS)的影响;TIMER平台验证PKM2基因表达对CESC病人OS的影响;HPA平台分析PKM2蛋白表达对CESC病人OS的影响;TIMER平台分析免疫细胞浸润水平与PKM2基因表达及病人OS的相关性。结果CESC病人中PKM2基因和蛋白质高表达病人的OS均劣于低表达者,CESC中PKM2基因表达还与免疫细胞浸润水平有关,而免疫细胞浸润水平又与病人的OS有关。结论PKM2是CESC预后的不利因素,在CESC的诊断和治疗中可作为潜在的指标和靶点。 Objective To explore the clinical significance of M2 type pyruvate kinase(PKM2)in cervical squamous cell carcinoma and endocervical adenocarcinoma(CESC)based on bioinformatics method.Methods The expression differences of PKM2 gene between CESC and normal cervical tissue were analyzed using R software;the impact of PKM2 gene expression on overall survival(OS)of CESC patients was analyzed on GEPIA platform;the impact of PKM2 gene expression on the OS of CESC patients was verified on TIMER platform;the impact of PKM2 protein expression on the OS of CESC patients was analyzed on HPA platform;the correlation between immune cell infiltration levels,PKM2 gene expression,and patient OS was analyzed on TIMER platform.Results The OS of patients with high expression of PKM2 gene and protein in CESC was inferior to those with low expression,PKM2 gene expression in CESC is also related to the level of immune cell infiltration,which in turn is related to the OS of patients.Conclusion PKM2 is an unfavorable prognostic factor for CESC and can serve as a potential indicator and target in the diagnosis and treatment of CESC.
作者 苏川 齐元麟 SU Chuan;QI Yuanlin(Minjiang Teachers College,Fuzhou,Fujian 350109,China;Fujian Medical University,Fuchou,Fujian 350122,China)
出处 《福建医药杂志》 CAS 2024年第2期1-5,共5页 Fujian Medical Journal
关键词 M2型丙酮酸激酶 宫颈鳞状细胞癌和宫颈腺癌 临床意义 生物信息学 M2 type pyruvate kinase cervical squamous cell carcinoma and endocervical adenocarcinoma clinical signifi-cance bioinformatics
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