Correlation Analysis of Prognostic Gene Expression, Tumor Microenvironment, and Tumor-Infiltrating Immune Cells in Ovarian Cancer.

4区医学 Q3 Medicine Disease Markers Pub Date : 2023-10-06 eCollection Date: 2023-01-01 DOI:10.1155/2023/9672158

Qing Li, Zongjing Yang, Xingqing Ling, Junming Ye, Jiaying Wu, Yu Wang, Chun Yao, Jinghui Zheng

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Abstract

Objective: Tumor microenvironment (TME) research can provide a crucial direction for the innovation and continuous improvement of novel biologic therapies for cancer. This study examined the relationship between the TME, expression profiles of the tumor-infiltrating immune cell, and prognostic gene expression in ovarian cancer (OC).

Materials and methods: Screening of CD3E, CD3G, CD2, CD3D, CCL19, and IL2RG was performed using the bioinformatics methods.

Results: All six genes were found to participate in immune-related molecular mechanisms and could regulate the expression of tumor-infiltrating cells. A Kaplan-Meier survival analysis results demonstrated a strong association between overall survival and all gene expressions in patients with OC. CIBERSORT analysis results showed that the expression level of all genes was positively correlated with γδ T cell proportions.

Conclusion: Therefore, in the OC microenvironment, CD3E, CD3G, CD2, CD3D, CCL19, and IL2RG can be potential immunotherapy targets and prognostic markers.

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癌症预后基因表达、肿瘤微环境与肿瘤浸润免疫细胞的相关性分析。

目的：肿瘤微环境（TME）研究可为癌症新型生物疗法的创新和持续改进提供重要方向。本研究探讨了卵巢癌症（OC）肿瘤浸润免疫细胞TME、表达谱和预后基因表达之间的关系。材料和方法：采用生物信息学方法筛选CD3E、CD3G、CD2、CD3D、CCL19和IL2RG。结果：6个基因均参与免疫相关分子机制，并能调控肿瘤浸润细胞的表达。Kaplan-Meier生存率分析结果表明，OC患者的总生存率与所有基因表达之间存在很强的相关性。CIBERSORT分析结果表明，所有基因的表达水平与γδT细胞比例呈正相关。结论：因此，在OC微环境中，CD3E、CD3G、CD2、CD3D、CCL19和IL2RG可能是潜在的免疫治疗靶点和预后标志物。

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来源期刊

Disease Markers 医学-病理学

自引率

0.00%

发文量

792

审稿时长

6-12 weeks

期刊介绍： Disease Markers is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies related to the identification of disease markers, the elucidation of their role and mechanism, as well as their application in the prognosis, diagnosis and treatment of diseases.