m1A相关基因构建的胰腺癌预后模型的综合分析
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南京医科大学第一附属医院胰腺中心

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Comprehensive analysis of pancreatic cancer prognostic model constructed by m1A related genes
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Pancreas Centre of First Affiliated Hospital of Nanjing Medical University

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    摘要:

    目的:基于m1A相关基因在多个数据库中差异表达情况与临床参数建立新的胰腺癌风险评估模型,为胰腺癌治疗和预后分析提供理论依据。方法:通过TCGA-GTEx数据库联合m1A相关基因进行差异分析,利用Cox分析与LASSO回归构建胰腺癌预后风险模型,搭配GEO数据库和本中心的胰腺癌病例的基因表达和临床数据验证模型的准确性与敏感性。结果:筛选出两个基因CRLS1与C7orf50共同构成风险模型,本研究系统验证了该模型有指示胰腺癌预后的显著效能,该模型联合肿瘤突变负荷(TMB)具有更强的预后指示能力。结论:该模型是指示胰腺癌患者预后的新工具。

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    Objective: To establish a new pancreatic cancer risk assessment model based on the differential expression of m1A-related genes in multiple databases and clinical parameters, and provide theoretical basis for pancreatic cancer treatment and prognosis analysis. Methods: Differential analysis of m1A-related genes was performed in the TCGA-GTEx database. Cox analysis and LASSO regression were used to construct a pancreatic cancer prognosis risk model, and the accuracy and sensitivity of the model were verified by gene expression and clinical data from the GEO database and pancreatic cancer cases in our center. Results: CRLS1 and C7orf50 were selected to form the risk model. The study systematically verified that the model had significant efficacy in indicating the prognosis of pancreatic cancer, and the model combined with tumor mutation burden (TMB) had a stronger prognostic indication ability. Conclusion: A new tool was found to indicate the prognosis of pancreatic cancer patients.

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  • 收稿日期:2023-04-24
  • 最后修改日期:2023-05-26
  • 录用日期:2023-07-13
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