• Journal Logo

Table of Content

Open Access iconOpen Access

ARTICLE

A Multisclae Probabilisitc Framework to Model Early Steps in Tumor Metastasis

Muhammad H. Zaman*

* Department of Biomedical Engineering and Institute of Theoretical Chemistry, The University of Texas at Austin, Austin, TX, 78712. mhzaman@mail.utexas.edu

Molecular & Cellular Biomechanics 2007, 4(3), 133-142. https://doi.org/10.3970/mcb.2007.004.133

Abstract

Tumor metastasis is the leading cause of nearly all cancer related deaths. While several experimental and computational studies have addressed individual stages of the complex metastasis process, a comprehensive systems-biology model that links various stages of metastasis has not been put forth as of yet. In this paper we discuss the formulation and application of such a model that utilizes basic principles of cell biology, physics and mechanics to study the migratory patterns of tumor cells as they move from the parent tumor site to the connective tissue via the basement membrane. The model is first of its kind in capturing the essential early features of metastasis in a single simulation and shows good agreement with recent experimental studies.

Cite This Article

APA Style
Zaman, M.H. (2007). A multisclae probabilisitc framework to model early steps in tumor metastasis. Molecular & Cellular Biomechanics, 4(3), 133-142. https://doi.org/10.3970/mcb.2007.004.133
Vancouver Style
Zaman MH. A multisclae probabilisitc framework to model early steps in tumor metastasis. Mol Cellular Biomechanics . 2007;4(3):133-142 https://doi.org/10.3970/mcb.2007.004.133
IEEE Style
M.H. Zaman, "A Multisclae Probabilisitc Framework to Model Early Steps in Tumor Metastasis," Mol. Cellular Biomechanics , vol. 4, no. 3, pp. 133-142. 2007. https://doi.org/10.3970/mcb.2007.004.133



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 1426

    View

  • 1099

    Download

  • 0

    Like

Share Link