Progress and opportunities to advance clinical cancer therapeutics using tumor dynamic models

René Bruno, Dean Bottino, Dinesh P. De Alwis, Antonio T. Fojo, Jérémie Guedj, Chao Liu, Kristin R. Swanson, Jenny Zheng, Yanan Zheng, Jin Y. Jin

Research output: Contribution to journalArticle

Abstract

There is a need for new approaches and endpoints in oncology drug development, particularly with the advent of immunotherapies and the multiple drug combinations under investigation. Tumor dynamics modeling, a key component to oncology "model-informed drug development," has shown a growing number of applications and a broader adoption by drug developers and regulatory agencies in the past years to support drug development and approval in a variety of ways. Tumor dynamics modeling is also being investigated in personalized cancer therapy approaches. These models and applications are reviewed and discussed, as well as the limitations and issues open for further investigations. A close collaboration between stakeholders like clinical investigators, statisticians, and pharmacometricians is warranted to advance clinical cancer therapeutics.

Original languageEnglish (US)
Pages (from-to)1787-1795
Number of pages9
JournalClinical Cancer Research
Volume26
Issue number8
DOIs
StatePublished - Apr 15 2020

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Fingerprint Dive into the research topics of 'Progress and opportunities to advance clinical cancer therapeutics using tumor dynamic models'. Together they form a unique fingerprint.

  • Cite this

    Bruno, R., Bottino, D., De Alwis, D. P., Fojo, A. T., Guedj, J., Liu, C., Swanson, K. R., Zheng, J., Zheng, Y., & Jin, J. Y. (2020). Progress and opportunities to advance clinical cancer therapeutics using tumor dynamic models. Clinical Cancer Research, 26(8), 1787-1795. https://doi.org/10.1158/1078-0432.CCR-19-0287