Gompertz growth with a shared carrying capacity optimally simulates primary and metastatic tumor growth dynamics
Future investigations should reproduce this analysis in clinical settings and evaluate whether this shared carrying capacity model could help stratify patients at risk of metastatic disease below clinical detectability and inform strategies to control oligometastatic cancer.
Authors
- Robert Ivkov (ORCID: https://orcid.org/0000-0002-2930-5276)
- Pirmin Schlicke (ORCID: https://orcid.org/0000-0001-9619-728X)
- Preethi Korangath (ORCID: https://orcid.org/0000-0002-6623-493X)
- Kathleen L. Gabrielson (ORCID: https://orcid.org/0000-0003-3901-4357)
- Yuan Yinyin
- Heiko Enderling
- Lyndsey Werhane
- Xiaoxi Pan
- Caner Ercan
- Sébastien Benzekry
Institutions
- The University of Texas MD Anderson Cancer Center (US)
- Johns Hopkins University (US)
- University of Salzburg (AT)
- Aix-Marseille Université (FR)
- Johns Hopkins Medicine (US)
Publication Details
- Journal
- British Journal of Cancer
- Published
- 2026-02-24
- DOI
- https://doi.org/10.1038/s41416-025-03306-9
- Primary Topic
- Mathematical Biology Tumor Growth
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- National Institutes of Health
- University of Texas MD Anderson Cancer Center