多形性胶质母细胞瘤模型参数集
用于模拟多形性胶质母细胞瘤与肿瘤相关中性粒细胞相互作用的数学模型参数集,研究肿瘤免疫微环境和治疗策略。

基本信息
资源简介
多形性胶质母细胞瘤模型参数集
【数据集背景】
本数据集源站标题为《Parameter set used in the model.》。源站首次发布:2026-01-23。
【数据内容】
源站原始描述:Glioblastoma multiforme (GBM) is the most aggressive form of brain cancer with the very poor survival and high recurrence rate. Tumor-associated neutrophils (TANs) play a pivotal role in regulation of the tumor microenvironment. In this study, we developed a new mathematical model of the critical GBM-TAN interaction in the heterogeneous brain tissue. The model reveals that the dual and complex role of TANs (either anti-tumorigenic N1 and the pro-tumorigenic N2 type) regulates the phenotypic traj…
【数据结构与技术规格】
文件数 1 个,合计 9.73 KB。Table 1.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pcbi.1013906.t001。
【主题与分类】
源站学科分类:Cell Biology、Genetics、Molecular Biology、Immunology、Biological Sciences not elsewhere classified、Developmental Biology。主题标签:reduce side effects、alternative approach compared、>&# 946 ;</、tumorigenic n2 type、new mathematical model、high recurrence rate、heterogeneous brain tissue、div >< p、bbb </ p、developed several strategies。
【适用方向】
源站学科分类标注为 Cell Biology、Genetics、Molecular Biology、Immunology、Biological Sciences not elsewhere classified、Developmental Biology。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/_p_Parameter_set_used_in_the_model_p_/31140713
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Cho, Haneol; Lee, Junho; Lawler, Sean; Kim, Yangjin (2026). Parameter set used in the model.. PLOS Computational Biology. Dataset
【使用注意】
· 源站最后修改于 2026-01-30,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
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公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:<p>Parameter set used in the model.</p>
- DOI:10.1371/journal.pcbi.1013906.t001
- 发布日期:2026-01-23
- 文件数:1 个
- 文件总体积:9.73 KB
- 源站页面:https://plos.figshare.com/articles/dataset/_p_Parameter_set_used_in_the_model_p_/31140713
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/61295711"
文件清单
Table 1.xls(9.73 KB)
文件总体积 9.73 KB(源站 API 实测)。
数据说明
Glioblastoma multiforme (GBM) is the most aggressive form of brain cancer with the very poor survival and high recurrence rate. Tumor-associated neutrophils (TANs) play a pivotal role in regulation of the tumor microenvironment. In this study, we developed a new mathematical model of the critical GBM-TAN interaction in the heterogeneous brain tissue. The model reveals that the dual and complex role of TANs (either anti-tumorigenic N1 and the pro-tumorigenic N2 type) regulates the phenotypic trajectory of the evolution of tumor growth and the invasive patterns in white and gray matter via mediators such as IFN-β and TGF-β. We investigated the effect of normalizing the immune environment on glioma growth by applying a therapeutic antibody and developed several strategies for eradication of tumor cells by neutrophil-mediated transport of nanoparticles. We also developed a strategy of combination therapy (surgery + Trojan neutrophils) for effective control of the infiltration of the glioma cells in one hemisphere before crossing the corpus callosum (CC) in order to prevent recurrence in the other hemisphere. This alternative approach compared to the extended resection of the glioma including CC or butterfly GBM may provide the greater anti-tumor efficacy and reduce side effects such as cognitive impairment.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pcbi.1013906.t001(source: https://plos.figshare.com/articles/dataset/_p_Parameter_set_used_in_the_model_p_/31140713)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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