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SOX9的高表达是胶质瘤的诊断和预后指标。

High expression of SOX9 is a diagnostic and prognostic indicator of glioma.

作者信息

Xu Libo, Wang Zhenhao, Li Mao, Li Qingsong

机构信息

Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.

College of Biological Sciences, University of California, Davis, Davis, United States.

出版信息

Front Oncol. 2025 Jul 7;15:1531937. doi: 10.3389/fonc.2025.1531937. eCollection 2025.

DOI:10.3389/fonc.2025.1531937
PMID:40692865
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12277172/
Abstract

BACKGROUND

Glioblastoma (GBM) originates from neuroepithelial tissue and is one of the most common intracranial malignant tumors in adults, with high recurrence rate and poor prognosis. In recent years, SOX9 has been reported to play an important role in many diseases and cancers, and is a promising target, but it has been rarely reported in GBM.

METHODS

RNA sequencing data of GBM were obtained from the Cancer Genome Atlas (TCGA) database and the Genotype-Tissue Expression (GTEx) database for analysis of SOX9 expression and differentially expressed genes (DEGs). Moreover, functional enrichment analysis of GBM-related DEGs was performed by GO/KEGG, GSEA, and protein-protein interaction (PPI) network. Additionally, the clinical significance of SOX9 in GBM was assessed by Kaplan-Meier Cox regression and prognostic model. What's more, we analyzed SOX9-related immune cell infiltration and expression of immune checkpoints in GBM. The incorporated studies were analyzed using the R package.

RESULTS

SOX9 was highly expressed in a range of malignant tumor tissues, including GBM. Surprisingly, high SOX9 expression was remarkably associated with better prognosis in the lymphoid invasion subgroups in a sample of 478 cases (P < 0.05). Totally, 126 differentially significant genes (DSGs) were identified between high- and low- expression group, of which 29 genes were upregulated and 97 genes were downregulated. Furthermore, high expression of SOX9 was an independent prognostic factor for IDH (isocitrate dehydrogenase)-mutant in Cox regression analysis. Screening was performed by LASSO coefficients to select non-zero variables that satisfied the coefficients of lambda. min, and four genes were screened out. OR4K2 and IDH status were prognostic factors associated with THCA in multifactorial COX regression analysis. SOX9, OR4K2 and IDH status were included in the nomogram prognostic model. Correlation analysis indicated SOX9 expression was correlated with immune cell infiltration and expression of immune checkpoints in GBM.

CONCLUSION

SOX9 was identified as a diagnostic and prognostic biomarker in glioblastoma, particularly in IDH-mutant cases. Its expression was closely correlated with immune infiltration and checkpoint expression, indicating its involvement in the immunosuppressive tumor microenvironment. SOX9-based gene signatures further supported a robust nomogram model, underscoring its potential as a therapeutic and prognostic target in GBM.

摘要

背景

胶质母细胞瘤(GBM)起源于神经上皮组织,是成人最常见的颅内恶性肿瘤之一,复发率高且预后差。近年来,SOX9已被报道在许多疾病和癌症中发挥重要作用,是一个有前景的靶点,但在GBM中鲜有报道。

方法

从癌症基因组图谱(TCGA)数据库和基因型-组织表达(GTEx)数据库获取GBM的RNA测序数据,用于分析SOX9表达和差异表达基因(DEGs)。此外,通过GO/KEGG、基因集富集分析(GSEA)和蛋白质-蛋白质相互作用(PPI)网络对与GBM相关的DEGs进行功能富集分析。另外,通过Kaplan-Meier Cox回归和预后模型评估SOX9在GBM中的临床意义。此外,我们分析了GBM中与SOX9相关的免疫细胞浸润和免疫检查点的表达。使用R包对纳入的研究进行分析。

结果

SOX9在包括GBM在内的一系列恶性肿瘤组织中高表达。令人惊讶的是,在478例样本的淋巴浸润亚组中,SOX9高表达与较好的预后显著相关(P < 0.05)。总共在高表达组和低表达组之间鉴定出126个差异显著基因(DSGs),其中29个基因上调,97个基因下调。此外,在Cox回归分析中,SOX9高表达是异柠檬酸脱氢酶(IDH)突变型的独立预后因素。通过最小绝对收缩和选择算子(LASSO)系数进行筛选,以选择满足lambda.min系数的非零变量,筛选出4个基因。在多因素COX回归分析中,嗅觉受体4K2(OR4K2)和IDH状态是与甲状腺癌(THCA)相关的预后因素。SOX9、OR4K2和IDH状态被纳入列线图预后模型。相关性分析表明,GBM中SOX9表达与免疫细胞浸润和免疫检查点的表达相关。

结论

SOX9被确定为胶质母细胞瘤的诊断和预后生物标志物,特别是在IDH突变型病例中。其表达与免疫浸润和检查点表达密切相关,表明它参与免疫抑制性肿瘤微环境。基于SOX9的基因特征进一步支持了一个强大的列线图模型,突出了其作为GBM治疗和预后靶点的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace2/12277172/99f0336853eb/fonc-15-1531937-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace2/12277172/432f70e6bfde/fonc-15-1531937-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace2/12277172/17717d93279d/fonc-15-1531937-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace2/12277172/a8b27a9e7479/fonc-15-1531937-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace2/12277172/f3b3cad33215/fonc-15-1531937-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace2/12277172/7eadbfe3bdce/fonc-15-1531937-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace2/12277172/e076d8ade3d2/fonc-15-1531937-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace2/12277172/99f0336853eb/fonc-15-1531937-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace2/12277172/432f70e6bfde/fonc-15-1531937-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace2/12277172/17717d93279d/fonc-15-1531937-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace2/12277172/a8b27a9e7479/fonc-15-1531937-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace2/12277172/e076d8ade3d2/fonc-15-1531937-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ace2/12277172/99f0336853eb/fonc-15-1531937-g007.jpg

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本文引用的文献

1
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Oncogene. 2023 Jun;42(27):2183-2194. doi: 10.1038/s41388-023-02715-5. Epub 2023 May 31.
2
Comprehensive analysis, immune, and cordycepin regulation for SOX9 expression in pan-cancers and the matched healthy tissues.全面分析、免疫和虫草素对泛癌及配对健康组织中 SOX9 表达的调控作用。
Front Immunol. 2023 Mar 20;14:1149986. doi: 10.3389/fimmu.2023.1149986. eCollection 2023.
3
Epithelial SOX9 drives progression and metastases of gastric adenocarcinoma by promoting immunosuppressive tumour microenvironment.
上皮细胞 SOX9 通过促进免疫抑制性肿瘤微环境推动胃腺癌的进展和转移。
Gut. 2023 Apr;72(4):624-637. doi: 10.1136/gutjnl-2021-326581. Epub 2022 Aug 24.
4
[Progress of PD-1/PD-L1 inhibitors in the treatment of small-cell lung cancer].[PD-1/PD-L1抑制剂在小细胞肺癌治疗中的研究进展]
Zhonghua Zhong Liu Za Zhi. 2021 Jan 23;43(1):98-103. doi: 10.3760/cma.j.cn112152-20191218-00819.
5
Systemic Analysis and Review of Nivolumab-ipilimumab Combination as a Rescue Strategy for Renal Cell Carcinoma After Treatment With Anti-PD-1/PD-L1 Therapy.纳武利尤单抗联合伊匹木单抗作为抗 PD-1/PD-L1 治疗后肾细胞癌挽救策略的系统分析和综述。
Clin Genitourin Cancer. 2021 Apr;19(2):95-102. doi: 10.1016/j.clgc.2020.10.004. Epub 2020 Oct 15.
6
Immune checkpoint inhibitors in cancer immunotherapy.癌症免疫治疗中的免疫检查点抑制剂
CMAJ. 2020 Jun 15;192(24):E651. doi: 10.1503/cmaj.191231.
7
Stem Cell Determinant SOX9 Promotes Lineage Plasticity and Progression in Basal-like Breast Cancer.干细胞决定因子 SOX9 促进基底样乳腺癌中的谱系可塑性和进展。
Cell Rep. 2020 Jun 9;31(10):107742. doi: 10.1016/j.celrep.2020.107742.
8
Dynamic Reorganization of Microtubule and Glioma Invasion.微管的动态重组与胶质瘤侵袭
Acta Med Okayama. 2019 Aug;73(4):285-297. doi: 10.18926/AMO/56930.
9
Metascape provides a biologist-oriented resource for the analysis of systems-level datasets.Metascape 为系统水平数据集的分析提供了面向生物学家的资源。
Nat Commun. 2019 Apr 3;10(1):1523. doi: 10.1038/s41467-019-09234-6.
10
The role of cytokines in the regulation of NK cells in the tumor environment.细胞因子在肿瘤微环境中对 NK 细胞调节作用。
Cytokine. 2019 May;117:30-40. doi: 10.1016/j.cyto.2019.02.001. Epub 2019 Feb 18.