Department of Clinical Biobank & Institute of Oncology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Medical School of Nantong University, Nantong, China.
Front Immunol. 2022 Oct 7;13:974346. doi: 10.3389/fimmu.2022.974346. eCollection 2022.
BACKGROUND: TP53I13 is a protein coding tumor suppression gene encoded by the tumor protein p53. Overexpression of impedes tumor cell proliferation. Nevertheless, role and expression in the emergence and progression of glioma (low-grade glioma and glioblastoma) are yet to be identified. Thus, we aim to use comprehensive bioinformatics analyses to investigate TP53I13 and its prognostic value in gliomas. METHODS: Multiple databases were consulted to evaluate and assess the expression of , such as the Cancer Genome Atlas (TCGA), the Chinese Glioma Genome Atlas (CGGA), GeneMANIA, and Gene Expression Profiling Interactive. expression was further explored using immunohistochemistry (IHC) and multiplex immunohistochemistry (mIHC). Through Gene Set Enrichment Analysis (GSEA), the biological functions of and metastatic processes associated with it were studied. RESULTS: The expression of was higher in tumor samples compared to normal samples. In samples retrieved from the TCGA and CGGA databases, high expression was associated with poor survival outcomes. The analysis of multivariate Cox showed that might be an independent prognostic marker of glioma. It was also found that increased expression of was significantly correlated with PRS type, status, 1p/19q codeletion status, IDH mutation status, chemotherapy, age, and tumor grade. According to CIBERSORT (Cell-type Identification by Estimating Relative Subsets of RNA Transcript), the expression of correlates with macrophages, neutrophils, and dendritic cells. GSEA shows a close correlation between and p53 signaling pathways, DNA replication, and the pentose phosphate pathway. CONCLUSION: Our results reveal a close correlation between and gliomas. Further, expression could affect the survival outcomes in glioma patients. In addition, was an independent marker that was crucial in regulating the infiltration of immune cells into tumors. As a result of these findings, might represent a new biomarker of immune infiltration and prognosis in patients with gliomas.
背景:TP53I13 是一种蛋白质编码肿瘤抑制基因,由肿瘤蛋白 p53 编码。过表达会抑制肿瘤细胞增殖。然而,其在低级别胶质瘤和胶质母细胞瘤等胶质瘤的发生和进展中的作用和表达尚未确定。因此,我们旨在使用综合生物信息学分析来研究 TP53I13 及其在胶质瘤中的预后价值。
方法:我们查阅了多个数据库来评估和评估 的表达情况,例如癌症基因组图谱(TCGA)、中国胶质瘤基因组图谱(CGGA)、GeneMANIA 和基因表达谱交互分析。通过免疫组织化学(IHC)和多重免疫组化(mIHC)进一步研究 的表达。通过基因集富集分析(GSEA)研究 及其与转移过程相关的生物学功能。
结果:与正常样本相比,肿瘤样本中 的表达更高。在从 TCGA 和 CGGA 数据库中检索到的样本中,高表达与不良生存结局相关。多变量 Cox 分析表明,可能是胶质瘤的独立预后标志物。还发现,表达的增加与 PRS 类型、状态、1p/19q 缺失状态、IDH 突变状态、化疗、年龄和肿瘤分级显著相关。根据 CIBERSORT(通过估计 RNA 转录物的相对子集进行细胞类型鉴定),的表达与巨噬细胞、中性粒细胞和树突状细胞相关。GSEA 显示与 p53 信号通路、DNA 复制和戊糖磷酸途径密切相关。
结论:我们的结果表明 与胶质瘤密切相关。此外,表达可能会影响胶质瘤患者的生存结局。此外,是调节肿瘤免疫细胞浸润的关键独立标志物。由于这些发现,可能代表了胶质瘤患者免疫浸润和预后的新生物标志物。
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