From concept to clinic: Mathematically informed immunotherapy

Curr Probl Cancer. Jan-Feb 2016;40(1):68-83. doi: 10.1016/j.currproblcancer.2015.10.004. Epub 2015 Oct 8.

Abstract

To allow innovative, progressive treatments to make the transition from concept to clinic, experimentally calibrated and clinically motivated mathematical models are essential. To aid the development of well-informed clinical trials, collaboration between mathematicians, computational modelers, biologists, and clinicians is required to allow qualitative hypotheses to take on a quantitative dimension. Such interdisciplinary science can allow both personalization and optimization of dose and scheduling of immunotherapeutic protocols, both as an independent therapy and in conjunction with other more traditional therapies, to streamline the transition from innovative concept to clinical practice and improve clinical outcomes for individual patients.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Antigen Presentation / immunology
  • Cancer Vaccines / immunology*
  • Combined Modality Therapy / methods*
  • Humans
  • Immunotherapy, Adoptive / methods*
  • Models, Theoretical*
  • Neoplasms / immunology*
  • Neoplasms / therapy*
  • T-Lymphocytes, Cytotoxic / immunology

Substances

  • Cancer Vaccines