摘要： 目的 分析Toll样受体2（TLR2）在泛癌中的表达、对患者预后的影响及其作用机制。方法 采用UCSC Xena数据库分析TLR2在肿瘤组织与正常组织中的差异表达；采用R语言分析泛癌中TLR2对预后的影响；采用cBioPortal数据库分析TLR2基因变异情况；采用TIMER数据库分析肿瘤组织中TLR2表达与肿瘤免疫细胞浸润的相关性；采用基因集富集分析（GSEA）软件分析TLR2的生物学功能。结果 肿瘤组织与正常组织间TLR2表达存在显著差异。TLR2的差异表达与多种肿瘤的不良预后相关，其中基因突变起到重要作用。TLR2与肿瘤组织中免疫细胞浸润、免疫调节剂有很强的相关性。GSEA结果显示，TLR2与肿瘤的免疫和炎症通路相关。结论 全面的泛癌分析确定TLR2是免疫浸润和癌症预后不良的生物标志物，可将其作为新的免疫调节靶点，用于开发新的免疫治疗靶向药物，为肿瘤治疗提供了新思路。

Toll样受体2在泛癌中的表达、对预后的影响及其作用机制

陈胜武, 赵恒伍, 高轶轩

锦州医科大学附属第三医院骨科, 辽宁 锦州 121001

收稿日期:2022-06-06出版日期:2022-09-30发布日期:2022-09-03
通讯作者:赵恒伍E-mail:8248785@qq.com
作者简介:陈胜武（1982-），男，副主任医师，博士.
基金资助:辽宁省教育厅科学研究经费项目（LJKZ0798）


关键词: Toll样受体2, 泛癌, 免疫浸润, 基因变异, 预后
Abstract: Objective To analyze the expression of Toll-like receptor 2(TLR2) in pan cancer, its effects on prognosis, and underlying mechanisms. Methods UCSC Xena database was used to analyze the differential expression of TLR2 in tumor tissue and normal tissues. The effect of TLR2 on prognosis in pan cancer was analyzed using the R language. Mutations of TLR2 gene were analyzed in the cBioPortal database. The correlation between TLR2 expression and tumor immune infiltrating cells was analyzed with the TIMER database. The biological function of TLR2 was analyzed using the Gene Set Enrichment Analyses(GSEA) software. Results There was a significant difference in TLR2 expression between pan cancerous tissues and adjacent normal tissues. The differential expression of TLR2 was related to the poor prognosis of many types of tumors, in which gene mutation plays an important role. TLR2 had a strong correlation with immune cell infiltration and immune regulators in tumor tissues. GSEA showed that TLR2 was associated with tumor immune and inflammatory pathways. Conclusion Comprehensive pan cancer analysis confirmed that TLR2 is a biomarker for immune infiltration and poor cancer prognosis. TLR2 could be a new target for immune regulation, which can be used to develop new targeted immunotherapy drugs and provide new insights into tumor treatment.
Key words: Toll-like receptor 2, pan cancer, immune infiltration, gene variation, prognosis
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