Systems Biology of Tumor Microenvironment

Quantitative Modeling and Simulations

  • Katarzyna A. Rejniak

Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 936)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Mark C. Lloyd, Joseph O. Johnson, Agnieszka Kasprzak, Marilyn M. Bui
    Pages 1-10
  3. Alicia Martı́nez-González, Gabriel F. Calvo, Jose M. Ayuso, Ignacio Ochoa, Luis J. Fernández, Víctor M. Pérez-García
    Pages 11-29
  4. Xiuxiu He, Byoungkoo Lee, Yi Jiang
    Pages 73-91
  5. Georgios Lolas, Lasse Jensen, George C. Bourantas, Vasiliki Tsikourkitoudi, Konstantinos Syrigos
    Pages 107-136
  6. Judith Pérez-Velázquez, Jana L. Gevertz, Aleksandra Karolak, Katarzyna A. Rejniak
    Pages 149-164
  7. Louis T. Curtis, Hermann B. Frieboes
    Pages 165-190
  8. Paul Macklin, Hermann B. Frieboes, Jessica L. Sparks, Ahmadreza Ghaffarizadeh, Samuel H. Friedman, Edwin F. Juarez et al.
    Pages 225-246
  9. Back Matter
    Pages 247-249

About this book


This edited volume discusses the complexity of tumor microenvironments during cancer development, progression and treatment. Each chapter presents a different mathematical model designed to investigate the interactions between tumor cells and the surrounding stroma and stromal cells. The topics covered in this book include the quantitative image analysis of a tumor microenvironment, the microenvironmental barriers in oxygen and drug delivery to tumors, the development of tumor microenvironmental niches and sanctuaries, intravenous transport of the circulating tumor cells, the role of the tumor microenvironment in chemotherapeutic interventions, the interactions between tumor cells, the extracellular matrix, the interstitial fluid, and the immune and stromal cells. Mathematical models discussed here embrace both continuous and agent-based approaches, as well as mathematical frameworks of solid mechanics, fluid dynamics and optimal control theory. The topics in each chapter will be of interest to a biological community wishing to apply the mathematical methods to interpret their experimental data, and to a biomathematical audience interested in exploring how mathematical models can be used to address complex questions in cancer biology.


tumor microenvironment mathematical modeling quantitative biology tumor-microenvironment interactions anti-cancer treatment barriers

Editors and affiliations

  • Katarzyna A. Rejniak
    • 1
  1. 1.H. Lee Moffitt Cancer Center & Research InstituteTampaUSA

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