Mathematical modeling of tumor growth and treatment

Heiko Enderling, Mark A. J. Chaplain

    Research output: Contribution to journalArticle

    71 Citations (Scopus)

    Abstract

    Using mathematical models to simulate dynamic biological processes has a long history. Over the past couple of decades or so, quantitative approaches have also made their way into cancer research. An increasing number of mathematical, physical, computational and engineering techniques have been applied to various aspects of tumor growth, with the ultimate goal of understanding the response of the cancer population to clinical intervention. So-called in silico trials that predict patient-specific response to various dose schedules or treatment combinations and sequencing are on the way to becoming an invaluable tool to optimize patient care. Herein we describe fundamentals of mathematical modeling of tumor growth and tumor-host interactions, and summarize some of the seminal and most prominent approaches.
    Original languageEnglish
    Pages (from-to)4934-4940
    Number of pages7
    JournalCurrent Pharmaceutical Design
    Volume20
    Issue number30
    DOIs
    Publication statusPublished - 2014

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