New Challenges for Cancer Systems Biomedicine

  • Alberto d’Onofrio
  • Paola Cerrai
  • Alberto Gandolfi

Part of the SIMAI Springer Series book series (SEMA SIMAI)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Towards a Comprehensive Theory of Cancer Growth

  3. Cancer Related Signalling Pathways

    1. Front Matter
      Pages 53-53
    2. Dirk Fey, David R. Croucher, Walter Kolch, Boris N. Kholodenko
      Pages 83-104
    3. Paolo Milazzo, Antonella Del Corso, Andrea Maggiolo-Schettini, Umberto Mura, Roberto Barbuti
      Pages 105-125
    4. Lorenzo Tortolina, Nicoletta Castagnino, Cristina De Ambrosi, Annalisa Barla, Alessandro Verri, Gabriele Zoppoli et al.
      Pages 127-142
  4. Basic Mechanisms of Tumor Progression

    1. Front Matter
      Pages 143-143
    2. Edoardo Beretta, Nadya Morozova, Vincenzo Capasso, Annick Harel-Bellan
      Pages 145-172
    3. Xuefeng Gao, J. Tyson McDonald, Lynn Hlatky, Heiko Enderling
      Pages 191-204
    4. Marco Scianna, Luigi Preziosi
      Pages 205-224
  5. Tumor-Immune System Interplay and Immunotherapy

    1. Front Matter
      Pages 225-225
    2. Filippo Castiglione, Pier Luigi Lollini, Santo Motta, Arianna Paladini, Francesco Pappalardo, Marzio Pennisi
      Pages 227-248
    3. Alberto d’Onofrio, Urszula Ledzewicz, Heinz Schättler
      Pages 249-266
    4. Ami Radunskaya, Sarah Hook
      Pages 267-282
  6. Computational Method for Improving Chemotherapy

About this book


The aim of this book is not only to illustrate the state of the art of tumor systems biomedicine, but also and mainly to explicitly capture the fact that a increasing number of biomedical scientists is now directly working on mathematical modeling, and a larger number are collaborating with bio-mathematical scientists. Moreover, a number of biomathematicians started working in biomedical institutions. The book is characterized by a coherent view of tumor modeling, based on the concept that mathematical modeling is (with medicine and molecular biology) one of the three pillars of molecular medicine. Indeed this volume is characterized by a well-structured presence of a large number of biomedical scientists directly working in Mathematical or Systems Biomedicine, and of a number biomathematicians working in hospitals. This give to this book an unprecedented tone, providing an original interdisciplinary insight into the biomedical applications. Finally, all biomedical contributors were asked to briefly summarize in one section of their contributes their point of view on her/his own interactions with quantitative scientists working in Systems Biomedicine.


Mathematical Oncology Systems Biology Systems Biomedicine Tumor

Editors and affiliations

  • Alberto d’Onofrio
    • 1
  • Paola Cerrai
    • 2
  • Alberto Gandolfi
    • 3
  1. 1.Department of Experimental OncologyEuropean Institute of OncologyMilanItaly
  2. 2.Department of MathematicsUniversity of PisaItaly
  3. 3.Istituto di Analisi dei Sistemi ed Informatica “A. Ruberti“ — CNRRomeItaly

Bibliographic information