肾透明细胞癌（KIRC）患者的预后仍然不利，并且对 KIRC 中 SRY-box 转录因子 11（SOX11）的了解仍然有限。本文的目的是探讨SOX11在KIRC预后中的作用。我们利用癌症基因组图谱(TCGA)和基因表达综合(GEO)数据库分析了KIRC和邻近正常组织中SOX11的表达。我们的研究旨在建立 SOX11 表达与临床病理特征之间的相关性。使用 R 软件评估差异表达基因 (DEG)。此外，我们还进行了基因本体论（GO）/京都基因和基因组百科全书（KEGG）分析和基因集富集分析（GSEA）。肿瘤免疫估计资源 (TIMER) 和 TCGA 数据库的数据整合使我们能够评估 KIRC 中 SOX11 表达与免疫浸润之间的关联。此外，我们使用 TCGA 和 GEO 数据分析了 KIRC 中 SOX11 基因表达与 N6-甲基腺苷 (m6A) 修饰之间的关联。我们的研究结果显示 KIRC 中 SOX11 高表达，这与肿瘤分期和预后显着相关。 GO/KEGG和GSEA分析表明SOX11与钠离子转运、突触小泡循环和氧化磷酸化密切相关。对 TIMER 和 TCGA 数据库的分析表明 SOX11 表达水平与 CD8 T 淋巴细胞、中性粒细胞、CD4 T 细胞以及 B 细胞的存在相关。此外，TCGA 和 GEO 数据集均显示 SOX11 与 m6A 修饰相关基因（即 ZC3H13、FTO、METTL14、YTHDC1、IGF2BP1 和 IGF2BP2）之间存在显着关联。SOX11 表现出与 m6A 修饰和免疫浸润的相关性，表明其作为KIRC.2024 转化癌症研究的预后生物标志物。版权所有。

The prognosis for patients with kidney renal clear cell carcinoma (KIRC) remains unfavorable, and the understanding of SRY-box transcription factor 11 (SOX11) in KIRC is still limited. The purpose of this paper is to explore the role of SOX11 in the prognosis of KIRC.We analyzed SOX11 expression in KIRC and adjacent normal tissues using The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Our study aims to establish a correlation between SOX11 expression and clinical pathological features. Differentially expressed genes (DEGs) were assessed using R software. Furthermore, we conducted Gene Ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses and gene set enrichment analysis (GSEA). Integration of data from the Tumor Immune Estimation Resource (TIMER) and TCGA databases allowed us to assess the association between SOX11 expression and immune infiltration in KIRC. Additionally, we analyzed the association between SOX11 gene expression and N6-methyladenosine (m6A) modification in KIRC using TCGA and GEO data.Our findings revealed high SOX11 expression in KIRC, which showed a significant correlation with tumor staging and prognosis. GO/KEGG and GSEA analyses indicated that SOX11 was closely associated with sodium ion transport, synaptic vesicle circulation, and oxidative phosphorylation. Analysis of the TIMER and TCGA databases demonstrated correlations of SOX11 expression levels with the presence of CD8+ T lymphocytes, neutrophils, CD4+ T cells, as well as B cells. Moreover, both the TCGA and GEO datasets showed a substantial association between SOX11 and m6A modification-related genes, namely ZC3H13, FTO, METTL14, YTHDC1, IGF2BP1, and IGF2BP2.SOX11 exhibits a correlation with m6A modification and immune infiltration, suggesting its potential as a prognostic biomarker for KIRC.2024 Translational Cancer Research. All rights reserved.