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基于TCGA数据库对多种肿瘤HMGA1基因表达与诊断及预后相关性分析OA

Analysis of HMGA1 Gene Expression and Its Correlation with Diagnosis and Prognosis in Multiple Cancers Based on TCGA Database

中文摘要英文摘要

目的 探讨高迁移率族蛋白A1(HMGA1)在多种癌症中的潜在意义.方法 利用癌症基因组图谱(TCGA)、GE-PIA2、cBioPortal和GSCA数据库,运用Wilcox检验评估HMGA1在癌组织与癌旁组织中的表达差异;采用单因素COX分析和Kaplan-Meier方法进行生存分析;通过Spearman相关性检验,探讨HMGA1表达与免疫浸润细胞、肿瘤突变负荷(TMB)和微卫星不稳定性(MSI)之间的关联.结果 HMGA1在多种癌症中表现出显著的上调,并与预后相关.相关性分析揭示了HMGA1与免疫微环境、TMB和MSI之间的关系.通过基因集富集分析(GSEA),阐明了HMGA1在细胞因子和趋化因子信号传导、细胞周期调控以及抗原加工和呈递中的作用.HMGA1与TGX221、CCT007093等药物敏感度存在关联.结论 HMGA1可能成为泛癌诊断和预后的生物标志物.

Objective To explore the potential significance of high mobility group A1(HMGA1)protein in multiple cancers.Methods Utilizing data from The Cancer Genome Atlas(TCGA),GEPIA2,cBioPortal,and Gene Set Cancer Analysis(GSCA)databases,HMGA1 expression differences between cancerous and adjacent non-cancerous tissues were evaluated by the Wilcox-on signed-rank test.Univariate COX proportional hazards analysis and Kaplan-Meier methods were applied for survival analysis.Spearman correlation tests explored associations between HMGA1 expression and immune infiltrating cells,tumor mutational burden(TMB),and microsatellite instability(MSI).Results HMGA1 was significantly upregulated and correlated with prog-nosis across multiple cancers.Correlation analyses unveiled relationships between HMGA1 and the immune microenvironment,TMB,and MSI.Gene Set Enrichment Analysis(GSEA)revealed HMGA1's involvement in cytokine and chemokine signaling,cell cycle regulation,and antigen processing and presentation.HMGA1 expression correlated with sensitivity to drugs,including TGX221 and CCT007093.Conclusions HMGA1 holds potential as a pan-cancer biomarker for diagnosis and prognosis.

赵东霞;秦伟珅;王慜杰

国家癌症中心/国家肿瘤临床医学研究中心/中国医学科学院北京协和医学院肿瘤医院检验科,北京 100021国家癌症中心/国家肿瘤临床医学研究中心/中国医学科学院北京协和医学院肿瘤医院检验科,北京 100021国家癌症中心/国家肿瘤临床医学研究中心/中国医学科学院北京协和医学院肿瘤医院检验科,北京 100021

医药卫生

高迁移率族蛋白A1肿瘤微环境药物敏感性癌症基因组图谱泛癌

high mobility group A1tumor microenvironmentdrug sensitivityThe Cancer Genome Atlaspan-cancer

《现代检验医学杂志》 2026 (2)

167-173,7

科技部重大专项(2023ZD0509500).

10.3969/j.issn.1671-7414.2026.02.028

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