• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
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
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
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 @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

癌症侵袭的反应扩散模型。

A reaction-diffusion model of cancer invasion.

作者信息

Gatenby R A, Gawlinski E T

机构信息

Department of Diagnostic Imaging, College of Medicine, Temple University, Philadelphia, Pennsylvania 19122, USA.

出版信息

Cancer Res. 1996 Dec 15;56(24):5745-53.

PMID:8971186
Abstract

We present mathematical analyses, experimental data, and clinical observations which support our novel hypothesis that tumor-induced alteration of microenvironmental pH may provide a simple but complete mechanism for cancer invasion. A reaction-diffusion model describing the spatial distribution and temporal development of tumor tissue, normal tissue, and excess H+ ion concentration is presented. The model predicts a pH gradient extending from the tumor-host interface, which is confirmed by reanalysis of existing experimental data. Investigation of the structure and dynamics of the tumor-host interaction within the context of the model demonstrates a transition from benign to malignant growth analogous to the adenoma-carcinoma sequence. The effect of biological parameters critical to controlling this transition are supported by experimental and clinical observations. Tumor wave front velocities determined via a marginal stability analysis of the model equations are consistent with in vivo tumor growth rates. The model predicts a previously unrecognized hypocellular interstitial gap at the tumor-host interface which we demonstrate both in vivo and in vitro. A direct correlation between the interfacial morphology and tumor wave front velocity provides an explicit, testable, clinically important prediction.

摘要

我们展示了数学分析、实验数据和临床观察结果,这些均支持我们的新假说,即肿瘤诱导的微环境pH改变可能为癌症侵袭提供一种简单而完整的机制。我们提出了一个反应扩散模型,用于描述肿瘤组织、正常组织和过量H⁺离子浓度的空间分布和时间发展。该模型预测了一个从肿瘤-宿主界面延伸的pH梯度,这一点通过对现有实验数据的重新分析得到了证实。在该模型背景下对肿瘤-宿主相互作用的结构和动力学进行研究,结果表明从良性生长到恶性生长的转变类似于腺瘤-癌序列。对控制这种转变至关重要的生物学参数的影响得到了实验和临床观察的支持。通过对模型方程进行边际稳定性分析确定的肿瘤波前速度与体内肿瘤生长速率一致。该模型预测在肿瘤-宿主界面存在一个此前未被认识到的细胞减少的间质间隙,我们在体内和体外均证实了这一点。界面形态与肿瘤波前速度之间的直接相关性提供了一个明确的、可检验的、具有临床重要性的预测。

相似文献

1
A reaction-diffusion model of cancer invasion.癌症侵袭的反应扩散模型。
Cancer Res. 1996 Dec 15;56(24):5745-53.
2
Acid-mediated tumor invasion: a multidisciplinary study.酸介导的肿瘤侵袭:一项多学科研究。
Cancer Res. 2006 May 15;66(10):5216-23. doi: 10.1158/0008-5472.CAN-05-4193.
3
A cellular automaton model of early tumor growth and invasion.早期肿瘤生长与侵袭的细胞自动机模型
J Theor Biol. 2001 Dec 7;213(3):315-31. doi: 10.1006/jtbi.2001.2385.
4
Slow and fast invasion waves in a model of acid-mediated tumour growth.酸介导肿瘤生长模型中的慢波和快波侵袭
Math Biosci. 2009 Jul;220(1):45-56. doi: 10.1016/j.mbs.2009.04.001. Epub 2009 Apr 17.
5
The glycolytic phenotype in carcinogenesis and tumor invasion: insights through mathematical models.致癌作用和肿瘤侵袭中的糖酵解表型:通过数学模型获得的见解
Cancer Res. 2003 Jul 15;63(14):3847-54.
6
An integrated computational/experimental model of tumor invasion.肿瘤侵袭的综合计算/实验模型。
Cancer Res. 2006 Feb 1;66(3):1597-604. doi: 10.1158/0008-5472.CAN-05-3166.
7
Role of squamous cell carcinoma antigen 1 expression in the invasive potential of head and neck squamous cell carcinoma.鳞状细胞癌抗原1表达在头颈部鳞状细胞癌侵袭潜能中的作用
Head Neck. 2006 Jan;28(1):24-30. doi: 10.1002/hed.20293.
8
[The effect of the microenvironment of head and neck cancers on tumor progression].[头颈部癌症的微环境对肿瘤进展的影响]
Magy Onkol. 2009 Mar;53(1):51-9. doi: 10.1556/MOnkol.53.2009.1.8.
9
Understanding genetic progression of squamous cell carcinoma to spindle cell carcinoma in a mouse model of head and neck cancer.在头颈癌小鼠模型中了解鳞状细胞癌向梭形细胞癌的基因进展。
Int J Oncol. 2007 May;30(5):1279-87.
10
Nonlinear simulation of tumor necrosis, neo-vascularization and tissue invasion via an adaptive finite-element/level-set method.通过自适应有限元/水平集方法对肿瘤坏死、新血管生成和组织侵袭进行非线性模拟。
Bull Math Biol. 2005 Mar;67(2):211-59. doi: 10.1016/j.bulm.2004.08.001.

引用本文的文献

1
Coupled SDE-ODE Modeling of Tumor-Immune Dynamics to Infer Biomarker Release.用于推断生物标志物释放的肿瘤-免疫动力学耦合随机微分方程-常微分方程建模
bioRxiv. 2025 Aug 21:2025.08.15.670571. doi: 10.1101/2025.08.15.670571.
2
Pattern Formation as a Resilience Mechanism in Cancer Immunotherapy.模式形成作为癌症免疫治疗中的一种适应性机制。
Bull Math Biol. 2025 Jul 1;87(8):106. doi: 10.1007/s11538-025-01485-3.
3
Deformations of acid-mediated invasive tumors in a model with Allee effect.具有阿利效应模型中酸介导侵袭性肿瘤的变形
J Math Biol. 2025 May 5;90(6):55. doi: 10.1007/s00285-025-02209-w.
4
A Network Based Model for Predicting Spatial Progression of Metastasis.一种基于网络的转移空间进展预测模型。
Bull Math Biol. 2025 Apr 9;87(5):65. doi: 10.1007/s11538-025-01441-1.
5
Interactions between Ploidy and Resource Availability Shape Clonal Evolution in Glioblastoma.倍性与资源可用性之间的相互作用塑造了胶质母细胞瘤的克隆进化。
Cancer Res. 2025 Apr 15;85(8):1544-1559. doi: 10.1158/0008-5472.CAN-24-0401.
6
Tissue stresses caused by invasive tumour: a biomechanical model.侵袭性肿瘤引起的组织应力:一种生物力学模型。
J R Soc Interface. 2025 Jan;22(222):20240797. doi: 10.1098/rsif.2024.0797. Epub 2025 Jan 22.
7
Calibrating tumor growth and invasion parameters with spectral spatial analysis of cancer biopsy tissues.通过癌症活检组织的光谱空间分析校准肿瘤生长和侵袭参数。
NPJ Syst Biol Appl. 2024 Oct 2;10(1):112. doi: 10.1038/s41540-024-00439-0.
8
A Genuinely Hybrid, Multiscale 3D Cancer Invasion and Metastasis Modelling Framework.一个真正的混合多尺度3D癌症侵袭和转移建模框架。
Bull Math Biol. 2024 Apr 25;86(6):64. doi: 10.1007/s11538-024-01286-0.
9
Hybrid Cellular Automata Modeling Reveals the Effects of Glucose Gradients on Tumour Spheroid Growth.混合细胞自动机建模揭示葡萄糖梯度对肿瘤球体生长的影响。
Cancers (Basel). 2023 Nov 30;15(23):5660. doi: 10.3390/cancers15235660.
10
Interactions between ploidy and resource availability shape clonal interference at initiation and recurrence of glioblastoma.倍性与资源可用性之间的相互作用在胶质母细胞瘤起始和复发时塑造了克隆干扰。
bioRxiv. 2023 Oct 20:2023.10.17.562670. doi: 10.1101/2023.10.17.562670.