[1]刘 坤,陈德春.基于生信学方法分析GSDM基因家族在膀胱癌的表达及临床意义[J].医学信息,2022,35(10):14-19，25.[doi:10.3969/j.issn.1006-1959.2022.10.003]
　LIU Kun,CHEN De-chun.Expression and Clinical Significance of GSDM Gene Family in Bladder Cancer Based on Bioinformatics Analysis[J].Medical Information,2022,35(10):14-19，25.[doi:10.3969/j.issn.1006-1959.2022.10.003]
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基于生信学方法分析GSDM基因家族在膀胱癌的表达及临床意义()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
35卷
期数:
2022年10期
页码:
14-19，25
栏目:
生物信息学
出版日期:
2022-05-15

文章信息/Info

Title:
Expression and Clinical Significance of GSDM Gene Family in Bladder Cancer Based on Bioinformatics Analysis
文章编号:
1006-1959（2022）10-0014-07
作者:
刘 坤; 陈德春
（资阳市雁江区中医医院泌尿外科，四川 资阳 641300）
Author(s):
LIU Kun; CHEN De-chun
(Department of Urology,Ziyang Yanjiang District Chinese Medicine Hospital,Ziyang 641300,Sichuan,China)
关键词:
膀胱癌; 消皮素; 肿瘤微环境; 生物标志物
Keywords:
Bladder cancer; Decortin; Tumor microenvironment; Biomarkers
分类号:
R737.14
DOI:
10.3969/j.issn.1006-1959.2022.10.003
文献标志码:
A
摘要:
目的 探讨消皮素（GSDM）基因家族在膀胱癌中的表达及临床意义。方法 利用TCGA数据库对GSDM家族6个成员在膀胱癌组织及正常组织中的表达进行差异分析，并使用TISCH数据库在单细胞水平探索其在膀胱癌肿瘤微环境中各细胞的表达情况；进一步通过GEPIA2数据库探索GSDM基因家族与患者肿瘤分期的关系，并使用Kaplan-Meier Plotter数据库分析其与患者总体生存期的关系，通过单因素和多因素Cox回归分析探讨GSDM家族在膀胱癌中是否具有独立预测能力，利用GeneMANIA 和STRING数据库构建蛋白互作网络，寻找与GSDM家族相互作用的蛋白，并对其进行基因功能富集分析，最后对GSDM基因家族进行免疫浸润分析。结果 GSDMB、GSDMC和GSDMD在膀胱癌中均高表达，其中GSDMB和GSDMD主要表达于恶性细胞中，随着TNM分期的增加，GSDMB及GSDME的表达量递减；生存分析显示，GSDMA、GSDMB、PJVK（DFNB59）的高表达的膀胱癌患者预后更佳，生存时间更长；功能富集分析显示，GSDM及互作基因主要富集于细胞焦亡等免疫相关的生物过程；Cox分析显示，GSDMB是BC患者预后的保护性因素，而年龄、T分期和TNM分期是BC患者预后的高危因素。结论 GSDM基因家族中的GSDMB和GSDMD在膀胱癌组织中呈高表达，并且主要定位于恶性细胞，其高表达与更好的预后相关。可能是通过诱导癌细胞的焦亡而发挥抗癌作用，具有作为预测膀胱癌预后的生物标志物和治疗靶点的潜力。
Abstract:
Objective To investigate the expression and clinical significance of GSDM gene family in bladder cancer.Methods TCGA database was used to analyze the differences in the expression of six members of GSDM family in bladder cancer tissues and normal tissues, and TISCH database was used to explore the expression of each cell in the tumor microenvironment of bladder cancer at the single cell level. The GEPIA2 database was further used to explore the relationship between GSDM gene family and tumor staging of patients, and the Kaplan-Meier Plotter database was used to explore the relationship between GSDM gene family and overall survival of patients. The single-factor and multi-factor Cox regression analysis was used to explore whether the GSDM family had independent predictive ability in bladder cancer. GeneMANIA and String databases were used to construct protein interaction network to find proteins interacting with the GSDM family, and the gene function enrichment analysis was performed. Finally, the immune infiltration analysis of the GSDM gene family was performed.Results GSDMB, GSDMC and GSDMD were highly expressed in bladder cancer. GSDMB and GSDMD were mainly expressed in malignant cells, and it was found that the expression of GSDMB and GSDME decreased with the increase of TNM stage. Survival analysis showed that GSDMA, GSDMB, PJVK (GSDMA) had higher prognosis and longer survival time. The results of functional enrichment analysis showed that GSDM and its interacting genes were mainly enriched in immune related biological processes such as cell death. Cox analysis showed that GSDMB was a protective factor for the prognosis of BC patients, while age, T stage and TNM stage were high risk factors for the prognosis of BC patients.Conclusion GSDMB and GSDMD in GSDM gene family are highly expressed in bladder cancer tissues, and are mainly located in malignant cells, and its high expression is related to better prognosis. It may have the potential as a biomarker and therapeutic target for predicting the prognosis of bladder cancer by inducing pyroptosis of cancer cells.

参考文献/References:

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更新日期/Last Update: 1900-01-01