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S100A9 作为 GBM 预后和免疫治疗反应的潜在预测因子,促进了 GBM 细胞的恶性进展和 M2 巨噬细胞的迁移。

S100A9, as a potential predictor of prognosis and immunotherapy response for GBM, promotes the malignant progression of GBM cells and migration of M2 macrophages.

机构信息

Department of Neurosurgery, Zhoukou Central Hospital, Zhoukou, Henan 466000, P.R. China.

出版信息

Aging (Albany NY). 2024 Aug 13;16(15):11513-11534. doi: 10.18632/aging.205949.

DOI:10.18632/aging.205949
PMID:39137310
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11346789/
Abstract

In the past decades, the therapeutic effect of glioblastoma (GBM) has not been significantly improved. Generous evidence indicates that S100A9 has a wide range of functions in tumors, but its exploration in GBM is less. The purpose of this study is to conduct a comprehensive bioinformatics analysis and cytological experiment on S100A9 in GBM. The expression data and clinical data of GBM samples were downloaded from the public database, and comprehensive bioinformatics analysis was performed on S100A9 in GBM using R software. Wound healing assay and transwell assay were used to detect the migration activity of cells, and colony formation assay, EdU staining, and CCK-8 assay were used to detect the proliferation activity of cells. The effect of S100A9 on the migration activity of M2 macrophages was verified by the cell co-culture method. The protein expression was detected by western blotting and immunohistochemical staining. S100A9 is an independent prognostic factor in GBM patients and is related to poor prognosis. It can be used as an effective tool to predict the response of GBM patients to immune checkpoint inhibitors (ICIs). In addition, S100A9 can promote the malignant progression of GBM and the migration of M2 macrophages. On the whole, our study highlights the potential value of S100A9 in predicting prognosis and immunotherapeutic response in GBM patients. More importantly, S100A9 may promote the malignant progress of GBM by involving in some carcinogenic pathways and remodeling the tumor microenvironment (TME).

摘要

在过去的几十年中,胶质母细胞瘤(GBM)的治疗效果并没有得到显著改善。大量证据表明,S100A9 在肿瘤中有广泛的功能,但在 GBM 中的探索较少。本研究旨在对 S100A9 在 GBM 中的作用进行全面的生物信息学分析和细胞学实验。从公共数据库中下载 GBM 样本的表达数据和临床数据,使用 R 软件对 S100A9 在 GBM 中的作用进行综合生物信息学分析。划痕愈合实验和 Transwell 实验用于检测细胞的迁移活性,集落形成实验、EdU 染色和 CCK-8 实验用于检测细胞的增殖活性。通过细胞共培养方法验证 S100A9 对 M2 巨噬细胞迁移活性的影响。通过 Western blot 和免疫组织化学染色检测蛋白表达。S100A9 是 GBM 患者的独立预后因素,与预后不良相关。它可以作为一种有效的工具来预测 GBM 患者对免疫检查点抑制剂(ICIs)的反应。此外,S100A9 可以促进 GBM 的恶性进展和 M2 巨噬细胞的迁移。总的来说,我们的研究强调了 S100A9 在预测 GBM 患者预后和免疫治疗反应方面的潜在价值。更重要的是,S100A9 可能通过参与一些致癌途径和重塑肿瘤微环境(TME)来促进 GBM 的恶性进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3169/11346789/cbee087eed46/aging-16-205949-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3169/11346789/d8634c57bd1d/aging-16-205949-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3169/11346789/cbee087eed46/aging-16-205949-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3169/11346789/1ac2f4a70f3f/aging-16-205949-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3169/11346789/529be1c9a965/aging-16-205949-g008.jpg
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3
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