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免疫细胞浸润相关分子亚型和基因特征可预测骨肉瘤患者的预后。

The immune cell infiltration-associated molecular subtypes and gene signature predict prognosis for osteosarcoma patients.

作者信息

Liu Bin, Liu Xiang-Yang, Wang Guo-Ping, Chen Yi-Xin

机构信息

Department of Spine Surgery, Hunan Provincial People's Hospital (The First-Affiliated Hospital of Hunan Normal University), Changsha, 410005, Hunan, China.

Department of Rehabilitation Medicine, Xiangya Hospital of Central South University, No. 87, Xiangya Road, Changsha, 410008, Hunan, China.

出版信息

Sci Rep. 2024 Mar 2;14(1):5184. doi: 10.1038/s41598-024-55890-0.

Abstract

Host immune dysregulation involves in the initiation and development of osteosarcoma (OS). However, the exact role of immune cells in OS remains unknown. We aimed to distinguish the molecular subtypes and establish a prognostic model in OS patients based on immunocyte infiltration. The gene expression profile and corresponding clinical feature of OS patients were obtained from TARGET and GSE21257 datasets. MCP-counter and univariate Cox regression analyses were applied to identify immune cell infiltration-related molecular subgroups. Functional enrichment analysis and immunocyte infiltration analysis were performed between two subgroups. Furthermore, Cox regression and LASSO analyses were performed to establish the prognostic model for the prediction of prognosis and metastasis in OS patients. The subgroup with low infiltration of monocytic lineage (ML) was related to bad prognosis in OS patients. 435 DEGs were screened between the two subgroups. Functional enrichment analysis revealed these DEGs were involved in immune- and inflammation-related pathways. Three important genes (including TERT, CCDC26, and IL2RA) were identified to establish the prognostic model. The risk model had good prognostic performance for the prediction of metastasis and overall survival in OS patients. A novel stratification system was established based on ML-related signature. The risk model could predict the metastasis and prognosis in OS patients. Our findings offered a novel sight for the prognosis and development of OS.

摘要

宿主免疫失调参与骨肉瘤(OS)的发生和发展。然而,免疫细胞在OS中的具体作用仍不清楚。我们旨在基于免疫细胞浸润区分OS患者的分子亚型并建立预后模型。从TARGET和GSE21257数据集中获取OS患者的基因表达谱和相应临床特征。应用MCP-counter和单变量Cox回归分析来识别免疫细胞浸润相关的分子亚组。在两个亚组之间进行功能富集分析和免疫细胞浸润分析。此外,进行Cox回归和LASSO分析以建立预测OS患者预后和转移的预后模型。单核细胞谱系(ML)低浸润亚组与OS患者的不良预后相关。在两个亚组之间筛选出435个差异表达基因(DEG)。功能富集分析表明这些DEG参与免疫和炎症相关途径。鉴定出三个重要基因(包括TERT、CCDC26和IL2RA)以建立预后模型。该风险模型在预测OS患者的转移和总生存方面具有良好的预后性能。基于ML相关特征建立了一种新的分层系统。该风险模型可以预测OS患者的转移和预后。我们的研究结果为OS的预后和发展提供了新的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5715/10908810/6854d60e0415/41598_2024_55890_Fig1_HTML.jpg

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