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    陶润, 李文永, 关翰, 李俊, 邓硕, 张家俊. 基于TCGA数据库探究SERPINA5在前列腺癌中的表达及临床意义[J]. 蚌埠医科大学学报, 2024, 49(3): 335-339, 343. DOI: 10.13898/j.cnki.issn.1000-2200.2024.03.012
    引用本文: 陶润, 李文永, 关翰, 李俊, 邓硕, 张家俊. 基于TCGA数据库探究SERPINA5在前列腺癌中的表达及临床意义[J]. 蚌埠医科大学学报, 2024, 49(3): 335-339, 343. DOI: 10.13898/j.cnki.issn.1000-2200.2024.03.012
    shu
    TAO Run, LI Wenyong, GUAN Han, LI Jun, DENG Shuo, ZHANG Jiajun. Expression and clinical significance of SERPINA5 in prostate cancer based on TCGA database[J]. Journal of Bengbu Medical University, 2024, 49(3): 335-339, 343. DOI: 10.13898/j.cnki.issn.1000-2200.2024.03.012
    Citation: TAO Run, LI Wenyong, GUAN Han, LI Jun, DENG Shuo, ZHANG Jiajun. Expression and clinical significance of SERPINA5 in prostate cancer based on TCGA database[J]. Journal of Bengbu Medical University, 2024, 49(3): 335-339, 343. DOI: 10.13898/j.cnki.issn.1000-2200.2024.03.012
    shu

    基于TCGA数据库探究SERPINA5在前列腺癌中的表达及临床意义

    Expression and clinical significance of SERPINA5 in prostate cancer based on TCGA database

      摘要
    • 摘要:
      目的 研究前列腺癌中关键基因的差异化表达，为前列腺癌的诊疗提供新的生物治疗靶点和理论依据。
      方法 从美国癌症基因组图谱(TCGA)中下载前列腺癌的相关基因数据，利用R软件筛选出在前列腺癌组织和癌旁组织中差异化表达的基因，并进行富集分析。利用STRING 11.0构建差异基因所表达蛋白的互作网络图，并通过Cytoscape_v3.7.1进一步筛选Hub基因，通过Oncomine数据库对Hub基因在前列腺癌中的表达进行验证得到关键基因，随后利用R软件对关键基因与临床数据进行统计分析，最终利用在线工具GEPIA对关键基因进行生存分析。
      结果 总共得到551个样本(其中癌旁组织样本52个，癌组织样本499个)，筛选后得到463个差异基因，其中呈现上调趋势的基因共265个，下调198个。富集分析后发现这些基因主要富集在顶体反应的调节、三酰甘油代谢过程, PPAR信号通路等，进一步筛选后得到10个Hub基因，与Oncomine数据库联合验证后得到关键基因SERPINA5，进行临床分析发现前列腺癌病人的SERPINA5的表达水平与肿瘤分化程度、TNM分期以及无病生存率有关(P < 0.05)，而与年龄、人种以及总生存率的差异无关(P>0.05)。
      结论 前列腺癌中存在大量差异基因可能对疾病的发生发展起到影响作用，其中SERPINA5也许可以作为前列腺癌早期筛查标志物或治疗的生物靶点，为前列腺癌的预防与治疗带来新的方案以及研究方向。

       

      Abstract:
      Objective To study the differential expression of pivotal genes in prostate cancer, and to provide a new biological therapeutic target and theoretical basis for the treatment of prostate cancer.
      Methods The gene data related to prostate cancer were downloaded from The Cancer Genome Atlas(TCGA).The genes differentially expressed in prostate cancer tissues and para-cancer tissues were selected using R software and enrichment analysis was performed.The interaction network diagram of the proteins expressed by the differential genes was constructed using STRING 11.0, and the Hub gene was further selected through Cytoscape_v3.7.1.The expression of the Hub gene in prostate cancer was verified by Oncomine database to obtain the pivotal genes.The statistical analysis of the pivotal genes and clinical data was then performed using R software.Finally, the survival analysis of the pivotal genes was performed using online tool GEPIA.
      Results A total of 551 samples(including 52 adjacent tissue samples and 499 cancer tissue samples) were obtained, and 463 differential genes were obtained after selection, among which 265 genes showing an upward trend and 198 genes showing a downward trend were obtained.After enrichment analysis, it was found that these genes were most enriched in the regulation of acrosome reaction, triglyceride metabolism process and PPAR signaling pathway.After further screening, 10 Hub genes were obtained, which were verified together with the Oncomine database to obtain the key gene SERPINA5.Clinical analysis showed that the expression level of SERPINA5 in patients with prostate cancer was related to tumor differentiation, TNM stage and disease-free survival rate(P < 0.05).and was not related to age, race, and overall survival rate(P>0.05).
      Conclusions There are many differential genes in prostate cancer that may affect the occurrence and development of the disease.Among them, SERPINA5 may be used as a marker for early screening of prostate cancer or a biological target for treatment, which brings new options and research directions for the prevention and treatment of prostate cancer.

       

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