Cancer interception during treatment: using growth kinetics to create a continuous variable for assessing disease response
Validation of a simple mathematical model across different cancers and its application to existing clinical data allowed estimation of the rate of growth of a treatment resistant subpopulation of cancer cells. The quantification of available clinical data using the growth rate of tumors in individual patients and its strong correlation with overall survival makes the growth rate an excellent marker of the efficacy of therapy.
Authors
- Mengxi Zhou (ORCID: https://orcid.org/0000-0003-3901-5149)
- Susan E. Bates (ORCID: https://orcid.org/0000-0001-6708-0330)
- Krastan B. Blagoev (ORCID: https://orcid.org/0000-0002-7438-0478)
- Antonio Tito Fojo
- Lawrence H. Schwartz
Institutions
- Centre National de la Recherche Scientifique (FR)
- U.S. National Science Foundation (US)
- Memorial Sloan Kettering Cancer Center (US)
- Johns Hopkins University (US)
- Bulgarian Academy of Sciences (BG)
- Université Paris Sciences et Lettres (FR)
- Columbia University Irving Medical Center (US)
- Johns Hopkins Medicine (US)
- Sorbonne Université (FR)
- ASIS Foundation (US)
- Institute of Molecular Biology (BG)
- James J. Peters VA Medical Center (US)
- Dynamique du noyau (FR)
Publication Details
- Journal
- The Oncologist
- Published
- 2025-10-18
- DOI
- https://doi.org/10.1093/oncolo/oyaf353
- Primary Topic
- Cancer Risks and Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.00