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通过单细胞和批量转录组综合分析探索中性粒细胞相关基因在骨肉瘤中的作用

Exploring the Role of Neutrophil-Related Genes in Osteosarcoma via an Integrative Analysis of Single-Cell and Bulk Transcriptome.

作者信息

Lu Jing, Rui Jiang, Xu Xiao-Yu, Shen Jun-Kang

机构信息

Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou 215025, China.

Institute of Diagnostic and Interventional Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200235, China.

出版信息

Biomedicines. 2024 Jul 8;12(7):1513. doi: 10.3390/biomedicines12071513.

Abstract

BACKGROUND

The involvement of neutrophil-related genes (NRGs) in patients with osteosarcoma (OS) has not been adequately explored. In this study, we aimed to examine the association between NRGs and the prognosis as well as the tumor microenvironment of OS.

METHODS

The OS data were obtained from the TARGET-OS and GEO database. Initially, we extracted NRGs by intersecting 538 NRGs from single-cell RNA sequencing (scRNA-seq) data between aneuploid and diploid groups, as well as 161 up-regulated differentially expressed genes (DEGs) from the TARGET-OS datasets. Subsequently, we conducted Least Absolute Shrinkage and Selection Operator (Lasso) analyses to identify the hub genes for constructing the NRG-score and NRG-signature. To assess the prognostic value of the NRG signatures in OS, we performed Kaplan-Meier analysis and generated time-dependent receiver operating characteristic (ROC) curves. Gene enrichment analysis (GSEA) and gene set variation analysis (GSVA) were utilized to ascertain the presence of tumor immune microenvironments (TIMEs) and immunomodulators (IMs). Additionally, the KEGG neutrophil signaling pathway was evaluated using ssGSEA. Subsequently, PCR and IHC were conducted to validate the expression of hub genes and transcription factors (TFs) in K7M2-induced OS mice.

RESULTS

FCER1G and C3AR1 have been identified as prognostic biomarkers for overall survival. The findings indicate a significantly improved prognosis for OS patients. The effectiveness and precision of the NRG signature in prognosticating OS patients were validated through survival ROC curves and an external validation dataset. The results clearly demonstrate that patients with elevated NRG scores exhibit decreased levels of immunomodulators, stromal score, immune score, ESTIMATE score, and infiltrating immune cell populations. Furthermore, our findings substantiate the potential role of SPI1 as a transcription factor in the regulation of the two central genes involved in osteosarcoma development. Moreover, our analysis unveiled a significant correlation and activation of the KEGG neutrophil signaling pathway with FCER1G and C3AR1. Notably, PCR and IHC demonstrated a significantly higher expression of C3AR1, FCER1G, and SPI1 in Balb/c mice induced with K7M2.

CONCLUSIONS

Our research emphasizes the significant contribution of neutrophils within the TIME of osteosarcoma. The newly developed NRG signature could serve as a good instrument for evaluating the prognosis and therapeutic approach for OS.

摘要

背景

中性粒细胞相关基因(NRGs)在骨肉瘤(OS)患者中的作用尚未得到充分研究。在本研究中,我们旨在探讨NRGs与OS预后以及肿瘤微环境之间的关联。

方法

OS数据来自TARGET-OS和GEO数据库。最初,我们通过将非整倍体组和二倍体组单细胞RNA测序(scRNA-seq)数据中的538个NRGs与TARGET-OS数据集中161个上调的差异表达基因(DEGs)进行交叉来提取NRGs。随后,我们进行最小绝对收缩和选择算子(Lasso)分析,以识别构建NRG评分和NRG特征的核心基因。为了评估NRG特征在OS中的预后价值,我们进行了Kaplan-Meier分析并生成了时间依赖性受试者工作特征(ROC)曲线。利用基因富集分析(GSEA)和基因集变异分析(GSVA)来确定肿瘤免疫微环境(TIMEs)和免疫调节剂(IMs)的存在。此外,使用单样本基因集富集分析(ssGSEA)评估KEGG中性粒细胞信号通路。随后,进行PCR和免疫组化(IHC)以验证核心基因和转录因子(TFs)在K7M2诱导的OS小鼠中的表达。

结果

已确定FCER1G和C3AR1为总生存期的预后生物标志物。研究结果表明OS患者的预后显著改善。通过生存ROC曲线和外部验证数据集验证了NRG特征在预测OS患者方面的有效性和准确性。结果清楚地表明,NRG评分升高的患者免疫调节剂水平、基质评分、免疫评分、ESTIMATE评分和浸润免疫细胞群体水平降低。此外,我们的研究结果证实了SPI1作为转录因子在调节骨肉瘤发展中涉及的两个核心基因方面的潜在作用。此外,我们的分析揭示了KEGG中性粒细胞信号通路与FCER1G和C3AR1之间存在显著相关性和激活。值得注意的是,PCR和IHC显示在K7M2诱导的Balb/c小鼠中C3AR1、FCER1G和SPI1的表达显著更高。

结论

我们的研究强调了骨肉瘤肿瘤免疫微环境中中性粒细胞的重要贡献。新开发的NRG特征可作为评估OS预后和治疗方法的良好工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21cb/11274533/d9cd07c0f255/biomedicines-12-01513-g001.jpg

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