肺腺癌中HPRT1基因表达对患者总生存的影响

杨红秀; 朱中山

doi:10.12259/j.issn.2095-610X.S20240803

肺腺癌中HPRT1基因表达对患者总生存的影响

doi: 10.12259/j.issn.2095-610X.S20240803

杨红秀,
朱中山^,

湖南省第二人民医院肿瘤科，湖南长沙　410007

基金项目: 湖南省自然科学基金科卫联合基金资助项目（2020JJ8080）

详细信息

作者简介:
杨红秀（1975～），女，湖南怀化人，医学学士，副主任护师，主要从事肿瘤专业护理与科研工作

通讯作者:
朱中山，E-mail：84059616@qq.com

中图分类号: R734.2
计量
- 文章访问数: 519
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- PDF下载量: 21
- 被引次数: 0
出版历程
- 收稿日期: 2024-04-02
- 网络出版日期: 2024-07-06
- 刊出日期: 2024-08-05

Effect of HPRT1 Gene Expression on Overall Survival of Patients with Lung Adenocarcinoma

Hongxiu YANG,
Zhongshan ZHU^,

Dept. of Oncology，The 2nd People’s Hospital of Hunan Province，Changsha Hunan 410007，China

摘要

摘要: 目的探索HPRT1基因在肺腺癌中的表达特征、总生存率、功能激活以及免疫浸润中的影响。方法通过对TCGA肺腺癌数据以及多个GEO数据库中的肺腺癌数据进行挖掘分析，对比并验证HPRT1表达量与预后总生存（overall surival，OS）的关系，通过clusterProfiler分析HPRT1基因高表达组中上调基因的功能富集情况。且通过TIMER以及CIBERSORT算法计算肺腺癌中不同免疫细胞的浸润水平并对比在HPRT1高低表达组间的浸润程度差异。结果 HPRT1在肺腺癌组织中表达量显著上调，且在TCGA中证明HPRT1基因高表达的患者预后OS更差（P < 0.01）。经过2个GEO数据集的验证同样发现HPRT1基因高表达表现为预后OS更差（GSE13213，P < 0.01；GSE67639，P < 0.001）。差异分析显示高表达的患者中有683个基因的表达量显著上调且这些上调基因的功能主要富集与p53以及细胞周期等癌症相关的信号通路。TIMER以及CIBERSORT算法进行的免疫细胞浸润程度分析发现在高表达差预后人群中B细胞以及CD4T细胞含量均更低（P < 0.05）。结论 HPRT1基因表达量越高肺腺癌患者的总生存越差，且高表达患者的p53信号通路上调，B细胞以及CD4T细胞浸润程度显著下降。
- 肺腺癌 /
- HPRT1基因 /
- 总生存 /
- 数据挖掘
Abstract: Objective To explore the expression characteristics, prognostic effect, functional activation and immune infiltration of HPRT1 gene in lung adenocarcinoma. Methods The data of adenocarcinoma of the lung from TCGA and multiple GEO databases were collected and analyzed. The relationship between HPRT1 expression level and overall survival （OS） was compared and validated, and the functional enrichment of upregulated genes in the HPRT1 high-expression group was analyzed using ClusterProfiler. Furthermore, the infiltration levels of immune cells in lung adenocarcinoma were calculated using TIMER and CIBERSORT algorithms and compared between the HPRT1 high- and low-expression groups. Results The expression of HPRT1 was significantly upregulated in lung adenocarcinoma tissues, and TCGA dataset analysis showed the patients with high expression of HPRT1 gene had a poorer overall survival （OS） prognosis （P < 0.01）. Validation through two GEO datasets also shows that high expression of the HPRT1 gene is associated with a worse OS prognosis （GSE13213, P < 0.01, GSE67639, P < 0.001）. Differential analysis indicates that among patients with high expression, the expression levels of 683 genes are significantly upregulated, with these upregulated genes primarily enriched in signaling pathways related to cancer, such as p53 and the cell cycle. Analysis of immune cell infiltration levels using TIMER and CIBERSORT algorithms reveals that in the group with high expression and poor prognosis, the levels of B cells and CD4 T cells are lower （P < 0.05）. Conclusion The higher the expression level of the HPRT1 gene, the significantly worse the overall survival of patients with lung adenocarcinoma, and in patients with high expression levels, the p53 signaling pathway is upregulated, and the infiltration level of B cells and CD4T cells is significantly decreased.
- Lung Adenocarcinoma /
- HPRT1 gene /
- Overall Survival /
- Data Mining

HTML全文

图 1 HPRT1基因在肺腺癌样本中表达情况

A：HPRT1基因在肺腺癌组织与癌旁组织的差异；B：HPRT1基因表达量在患者肺腺癌不同分期样本中的对比；C：肺腺癌组织中HPRT1基因抗体（HPA006360）IHC定量表达。

Figure 1. HPRT1 gene expression in lung adenocarcinoma samples

下载: 全尺寸图片幻灯片

图 2 HPRT1基因表达与肺腺癌患者预后生存关系

A：TCGA肺腺癌数据集中HPRT1基因高表达与低表达生存曲线；B：多因素校正分析。

Figure 2. Relationship between HPRT1 gene expression and prognostic survival in patients with lung adenocarcinoma

下载: 全尺寸图片幻灯片

图 3 HPRT1基因表达与肺腺癌患者预后关系

A：GEO中多组数据集分析HPRT1基因在肺腺癌中的预后特征；B：GSE13213（左）以及GSE67639（右）验证HPRT1基因与预后OS的关系。

Figure 3. Relationship between HPRT1 gene expression and prognosis of lung adenocarcinoma patients

下载: 全尺寸图片幻灯片

图 4 高表达、低表达HPRT1基因之间功能分析

A：差异基因火山图；B：高表达的KEGG富集分析。

Figure 4. Functional enrichment analysis between high and low HPRT1 expression groups

下载: 全尺寸图片幻灯片

图 5 HPRT1高表达组免疫微环境特征分析

A：IMER算法分析HPRT1基因不同表达组间B细胞含量对比；B：TIMER算法分析HPRT1基因不同表达组间CD4T细胞含量对比；C：CIBERSORT算法验证HPRT1基因不同表达组间不同B细胞含量；D：CIBERSORT算法验证HPRT1基因不同表达组间不同T细胞含量。

Figure 5. Characterization of the immune microenvironment in the HPRT1 high expression group

下载: 全尺寸图片幻灯片

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