文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

与中性粒细胞胞外陷阱(NETs)相关的基因可预测骨肉瘤的预后,并与骨肉瘤的免疫微环境相关。

NETs-related genes predict prognosis and are correlated with the immune microenvironment in osteosarcoma.

作者信息

Chu Dawei, Huang Rui, Shi Jiandang, Xu Ruiqing, Wei Daihao

机构信息

First Clinical Medical College of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.

Department of Orthopedic, General Hospital of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, China.

出版信息

Front Oncol. 2025 Apr 10;15:1551074. doi: 10.3389/fonc.2025.1551074. eCollection 2025.


DOI:10.3389/fonc.2025.1551074
PMID:40276062
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12018237/
Abstract

BACKGROUND: Osteosarcoma is the most common primary bone tumor. It has a high rate of early metastasis, and its treatment is one of the most challenging topics in the bone tumor field. Recent studies have shown that neutrophil extracellular traps play an important role in tumor metastasis and may provide new horizons for exploring metastasis in osteosarcoma. METHODS: OS data were downloaded from the TARGET database and Gene Expression Omnibus datasets. Univariate Cox regression was conducted to assess NETRGs. Patients were subsequently categorized into high- and low-risk groups on the basis of risk score values derived from multivariate Cox analysis, and prognostic models were established. The immune infiltration of relevant genes and drug sensitivity of key genes were also analyzed. RESULTS: A total of 15 NETs-related genes associated with osteosarcoma metastases were identified. Among them, a total of 4 genes were related to prognosis, namely, MAPK1, CFH, ATG7 and DDIT4, and a prognostic model based on these 4 genes was established. The prognosis was worse in the high-risk group, whose areas under the ROC curves (AUCs) were 0.857, 0.779, and 0.689 at 1, 3, and 5 years, respectively. The key genes were subsequently found to be associated with the infiltration of 20 types of immune cells. Finally, the small-molecule drug toxin c 10, an approximately 6700 mw protein, may target key genes. Finally, ATG7 was validated at the histological level by combining the results of the validation group dataset analysis. CONCLUSIONS: A risk model based on 4 NETRDEGs is a reliable prognostic predictor for OS patients, and CFH and ATG7 may serve as a new diagnostic and therapeutic target.

摘要

背景:骨肉瘤是最常见的原发性骨肿瘤。它具有较高的早期转移率,其治疗是骨肿瘤领域最具挑战性的课题之一。最近的研究表明,中性粒细胞胞外陷阱在肿瘤转移中起重要作用,可能为探索骨肉瘤转移提供新的视角。 方法:从TARGET数据库和基因表达综合数据集下载骨肉瘤数据。进行单变量Cox回归以评估中性粒细胞胞外陷阱相关基因(NETRGs)。随后根据多变量Cox分析得出的风险评分值将患者分为高风险组和低风险组,并建立预后模型。还分析了相关基因的免疫浸润和关键基因的药物敏感性。 结果:共鉴定出15个与骨肉瘤转移相关的NETs相关基因。其中,共有4个基因与预后相关,即MAPK1、CFH、ATG7和DDIT4,并基于这4个基因建立了预后模型。高风险组的预后较差,其受试者工作特征曲线(ROC)下面积在1年、3年和5年时分别为0.857、0.779和0.689。随后发现关键基因与20种免疫细胞的浸润有关。最后,小分子药物毒素c 10(一种分子量约为6700的蛋白质)可能靶向关键基因。最后,结合验证组数据集分析结果,在组织学水平上验证了ATG7。 结论:基于4个中性粒细胞胞外陷阱相关差异表达基因(NETRDEGs)的风险模型是骨肉瘤患者可靠的预后预测指标,CFH和ATG7可能作为新的诊断和治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f56/12018237/aea846de48ac/fonc-15-1551074-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f56/12018237/65b555ddaff9/fonc-15-1551074-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f56/12018237/ff65451de863/fonc-15-1551074-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f56/12018237/227299e56cef/fonc-15-1551074-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f56/12018237/58b8fa8bc385/fonc-15-1551074-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f56/12018237/806956f80d70/fonc-15-1551074-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f56/12018237/60b3e2c1fa67/fonc-15-1551074-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f56/12018237/aea846de48ac/fonc-15-1551074-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f56/12018237/65b555ddaff9/fonc-15-1551074-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f56/12018237/ff65451de863/fonc-15-1551074-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f56/12018237/227299e56cef/fonc-15-1551074-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f56/12018237/58b8fa8bc385/fonc-15-1551074-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f56/12018237/806956f80d70/fonc-15-1551074-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f56/12018237/60b3e2c1fa67/fonc-15-1551074-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f56/12018237/aea846de48ac/fonc-15-1551074-g007.jpg

相似文献

[1]
NETs-related genes predict prognosis and are correlated with the immune microenvironment in osteosarcoma.

Front Oncol. 2025-4-10

[2]
Develop a Novel Signature to Predict the Survival and Affect the Immune Microenvironment of Osteosarcoma Patients: Anoikis-Related Genes.

J Immunol Res. 2024

[3]
Development and validation of neutrophil extracellular traps-derived signature to predict the prognosis for osteosarcoma patients.

Int Immunopharmacol. 2024-1-25

[4]
Identification of novel neutrophil-extracellular-traps-related genes as biomarkers for breast cancer prognosis and immunotherapy.

Transl Cancer Res. 2025-3-30

[5]
System analysis based on Anoikis-related genes identifies MAPK1 as a novel therapy target for osteosarcoma with neoadjuvant chemotherapy.

BMC Musculoskelet Disord. 2024-6-4

[6]
A five ferroptosis-related genes risk score for prognostic prediction of osteosarcoma.

Medicine (Baltimore). 2022-12-16

[7]
Prognostic and Therapeutic Significance of Cancer-Associated Fibroblasts Genes in Osteosarcoma Based on Bulk and Single-Cell RNA Sequencing Data.

J Cell Mol Med. 2025-3

[8]
A prognostic glycolysis-related gene signature in osteosarcoma: implications for metabolic programming, immune microenvironment, and drug response.

PeerJ. 2025-4-29

[9]
Prognostic model of osteosarcoma based on telomere-related genes and analysis of immune characteristics.

Int Immunopharmacol. 2025-4-4

[10]
The hexosamine biosynthesis pathway-related gene signature correlates with immune infiltration and predicts prognosis of patients with osteosarcoma.

Front Immunol. 2022

引用本文的文献

[1]
Neutrophil Spatiotemporal Regulatory Networks: Dual Roles in Tumor Growth Regulation and Metastasis.

Biomedicines. 2025-6-14

本文引用的文献

[1]
Complement factor H: a novel innate immune checkpoint in cancer immunotherapy.

Front Cell Dev Biol. 2024-2-8

[2]
Osteosarcoma neutrophil extracellular trap network-associated gene recurrence and metastasis model.

J Cancer Res Clin Oncol. 2024-1-29

[3]
STAT4 facilitates PD-L1 level via IL-12R/JAK2/STAT3 axis and predicts immunotherapy response in breast cancer.

MedComm (2020). 2023-12-15

[4]
Development and validation of neutrophil extracellular traps-derived signature to predict the prognosis for osteosarcoma patients.

Int Immunopharmacol. 2024-1-25

[5]
Advances in Osteosarcoma.

Curr Osteoporos Rep. 2023-8

[6]
Autophagy and autophagy-related pathways in cancer.

Nat Rev Mol Cell Biol. 2023-8

[7]
NETworking with cancer: The bidirectional interplay between cancer and neutrophil extracellular traps.

Cancer Cell. 2023-3-13

[8]
Neutrophil extracellular traps-associated modification patterns depict the tumor microenvironment, precision immunotherapy, and prognosis of clear cell renal cell carcinoma.

Front Oncol. 2022-12-22

[9]
Identification of renal ischemia reperfusion injury subtypes and predictive strategies for delayed graft function and graft survival based on neutrophil extracellular trap-related genes.

Front Immunol. 2022

[10]
Osteosarcoma.

Nat Rev Dis Primers. 2022-12-8

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索