PSMB2通过细胞外基质-受体相互作用通路影响胰腺导管腺癌预后的多维度分析
作者:
通讯作者:
作者单位:

1徐州医科大学附属连云港医院 肝胆外科,江苏 连云港 222001;2昆山市第一人民医院 胃肠外科,江苏 昆山 215300;3南京鼓楼医院 肝胆外科,江苏 南京 210008

作者简介:

王大力,徐州医科大学附属连云港医院硕士研究生,主要从事肝胆外科方面的研究。

基金项目:

江苏省连云港市卫生计生科技基金资助项目(201906,202102);江苏省连云港市科技局科技计划基金资助项目(SF2119);江苏省连云港市第一人民医院科研基金资助项目(BS202003,LC04)。


Multidimensional analysis of the prognostic impact of PSMB2 in pancreatic ductal adenocarcinoma via the ECM-receptor interaction pathway
Author:
Affiliation:

1Department of Hepatobiliary Surgery, Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu 222001, China;2Department of Gastrointestinal Surgery, the First People's Hospital of Kunshan, Kunshan, Jiangsu 215300, China;3Department of Hepatobiliary Surgery, Nanjing Drum Tower Hospital, Nanjing 210008, China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 音频文件
  • |
  • 视频文件
    摘要:

    背景与目的 蛋白酶体20S亚基β2(PSMB2)在多种肿瘤中异常表达并参与肿瘤进展,但其在胰腺导管腺癌(PDAC)中的表达特征、预后价值及潜在机制尚不明确。本研究旨在基于生物信息学分析及临床样本验证,探讨PSMB2在PDAC中的临床意义及其可能作用机制。方法 整合TCGA及GEO数据库(GSE62452、GSE15471)中PDAC表达谱及临床数据,分析PSMB2表达差异及其与预后的关系。采用Kaplan-Meier生存分析及Cox回归评估其预后价值。收集76例PDAC组织进行免疫组织化学验证,并分析其与临床病理特征的关联。利用GSEA及相关性分析探讨潜在分子机制,通过ssGSEA分析免疫细胞浸润情况,并结合TCIA数据库预测免疫治疗反应,基于GDSC数据库评估药物敏感性。结果 PSMB2在PDAC组织中呈明显高表达,且高表达患者总体生存期明显缩短(均P<0.05)。多因素Cox分析显示PSMB2是PDAC预后的独立危险因素。免疫组化结果与数据库分析一致。PSMB2表达与淋巴结转移、病理分期及分化程度相关。GSEA分析提示其可能参与细胞外基质(ECM)-受体相互作用通路。相关性分析显示PSMB2与多种ECM相关基因呈正相关。免疫分析显示PSMB2与多种免疫细胞浸润相关,并可能影响免疫治疗反应。此外,PSMB2高表达与多种靶向药物敏感性增加相关。结论 PSMB2在PDAC中高表达并与不良预后密切相关,是独立预后指标,其作用机制可能与ECM-受体相互作用通路及肿瘤免疫微环境调控相关,有望成为潜在治疗靶点。

    Abstract:

    Background and Aims Proteasome 20S subunit β2 (PSMB2) has been implicated in tumor progression in multiple cancers; however, its expression pattern, prognostic value, and underlying mechanisms in pancreatic ductal adenocarcinoma (PDAC) remain unclear. This study aimed to investigate the clinical significance and potential mechanisms of PSMB2 in PDAC through integrated bioinformatics analysis and clinical validation.Methods Expression profiles and clinical data from TCGA and GEO datasets (GSE62452 and GSE15471) were analyzed to evaluate PSMB2 expression and its prognostic significance. Kaplan-Meier survival analysis and Cox regression models were used. Immunohistochemistry was performed on 76 PDAC samples for validation. Gene Set Enrichment Analysis (GSEA) and correlation analyses were conducted to explore potential mechanisms. Immune cell infiltration was assessed using ssGSEA, and immunotherapy response was predicted using TCIA data. Drug sensitivity was analyzed based on the GDSC database.Results IPSMB2 expression was significantly upregulated in PDAC tissues, and high expression was associated with poorer overall survival (all P<0.05). Multivariate Cox analysis identified PSMB2 as an independent prognostic factor. Immunohistochemical results were consistent with bioinformatics findings. PSMB2 expression correlated with lymph node metastasis, pathological stage, and differentiation. GSEA indicated enrichment in the ECM-receptor interaction pathway. Correlation analysis showed positive associations with multiple ECM-related genes. Additionally, PSMB2 was associated with immune cell infiltration and predicted immunotherapy response. Higher PSMB2 expression was also linked to increased sensitivity to several targeted agents.Conclusion PSMB2 is overexpressed in PDAC and is associated with poor prognosis, serving as an independent prognostic biomarker. Its role may involve regulation of the ECM-receptor interaction pathway and tumor immune microenvironment, highlighting its potential as a therapeutic target.

    图1 PSMB2在PDAC组织与正常组织的表达情况 A:TCGA-GTEx;B: GSE62452;C:GSE15471;D:76例临床样本;E:免疫组化检测PSMB2的表达Fig.1 Expression of PSMB2 in pancreatic ductal adenocarcinoma and normal tissues A: TCGA-GTEx dataset; B: GSE62452 dataset; C: GSE15471 dataset; D: Clinical samples of 76 cases; E: Immunohistochemical staining of PSMB2 expression
    图2 PSMB2表达与PDAC预后的关系 A:TCGA;B:GSE62452;C:76例临床队列Fig.2 Association between PSMB2 expression and overall survival in PDAC A: TCGA dataset; B: GSE62452 dataset; C: Clinical cohort of 76 cases
    图3 PSMB2的基因集富集分析 A:TCGA与蛋白酶体通路;B:GSE62452与蛋白酶体通路;C:TCGA与ECM-受体相互作用通路;D:GSE62452与ECM-受体相互作用通路Fig.3 Gene set enrichment analysis of PSMB2 A: TCGA proteasome pathway; B: GSE62452 proteasome pathway; C: TCGA ECM-receptor interaction pathway; D: GSE62452 ECM-receptor interaction pathway
    图4 PSMB2与ECM-受体相互作用通路的相关性热图 A:TCGA;B:GSE62452Fig.4 Correlation between PSMB2 and ECM-receptor interaction pathway A: TCGA dataset; B: GSE62452 dataset
    图5 PSMB2与免疫浸润以及免疫治疗结果预测 A:PDAC免疫细胞浸润水平与PSMB2表达水平的Spearman相关分析结果;B:PSMB2高或低表达组中免疫细胞浸润情况;C:IPS预测PSMB2高或低表达组的免疫治疗结果Fig.5 Relationship between PSMB2 expression and immune infiltration and immunotherapy response A: Correlation between PSMB2 expression and immune cell infiltration; B: Comparison of immune infiltration between high- and low-expression groups; C: Predicted immunotherapy response based on IPS
    图6 IC50预测PSMB2高或低表达组的药物敏感性 A:厄洛替尼;B:5-氟尿嘧啶;C:顺铂;D:紫杉醇;E:多西紫杉醇Fig.6 Drug sensitivity prediction based on IC50 values A: Erlotinib; B: 5-Fluorouracil; C: Cisplatin; D: Paclitaxel; E: Docetaxel
    表 1 TCGA数据单多因素Cox回归分析Table 1 Univariate and multivariate Cox regression analysis based on TCGA dataset
    表 2 GSE62452数据单多因素Cox回归分析Table 2 Univariate and multivariate Cox regression analysis based on GSE62452 dataset
    表 3 76例临床数据单多因素Cox回归分析Table 3 Univariate and multivariate Cox regression analysis of clinical cohort of 76 cases
    表 4 PSMB2表达与PDAC患者临床病理特征的关系[n(%)]Table 4 Association between PSMB2 expression and clinicopathologic features in PDAC [n (%)]
    表 5 Table 5
    参考文献
    相似文献
    引证文献
引用本文

王大力,费浩然,孙丹,杨海深,胡伟. PSMB2通过细胞外基质-受体相互作用通路影响胰腺导管腺癌预后的多维度分析[J].中国普通外科杂志,2026,35(3):500-511.
DOI:10.7659/j. issn.1005-6947.250286

复制
文章指标
  • 点击次数:
  • 下载次数:
历史
  • 收稿日期:2025-11-20
  • 最后修改日期:2026-03-23
  • 录用日期:
  • 在线发布日期: 2026-05-11