AI Article Synopsis
- The study focuses on understanding tumor growth kinetics, particularly in fibrosarcoma Sa-37 tumors, using mathematical modeling to explore mechanisms behind cancer development and treatment efficacy.
- Various mathematical models, including the modified Kolmogorov-Johnson-Mehl-Avrami and Gompertz models, were compared through experiments involving tumor inoculation in mice, showing good agreement with experimental data.
- The findings suggest that the modified Kolmogorov-Johnson-Mehl-Avrami model is effective in describing tumor growth and highlights complex mechanisms, indicating that tumor growth involves dynamic structural transformations rather than just straightforward growth patterns.
Article Abstract
Background: Unperturbed tumor growth kinetics is one of the more studied cancer topics; however, it is poorly understood. Mathematical modeling is a useful tool to elucidate new mechanisms involved in tumor growth kinetics, which can be relevant to understand cancer genesis and select the most suitable treatment.
Methods: The classical Kolmogorov-Johnson-Mehl-Avrami as well as the modified Kolmogorov-Johnson-Mehl-Avrami models to describe unperturbed fibrosarcoma Sa-37 tumor growth are used and compared with the Gompertz modified and Logistic models. Viable tumor cells (1×10) are inoculated to 28 BALB/c male mice.
Results: Modified Gompertz, Logistic, Kolmogorov-Johnson-Mehl-Avrami classical and modified Kolmogorov-Johnson-Mehl-Avrami models fit well to the experimental data and agree with one another. A jump in the time behaviors of the instantaneous slopes of classical and modified Kolmogorov-Johnson-Mehl-Avrami models and high values of these instantaneous slopes at very early stages of tumor growth kinetics are observed.
Conclusions: The modified Kolmogorov-Johnson-Mehl-Avrami equation can be used to describe unperturbed fibrosarcoma Sa-37 tumor growth. It reveals that diffusion-controlled nucleation/growth and impingement mechanisms are involved in tumor growth kinetics. On the other hand, tumor development kinetics reveals dynamical structural transformations rather than a pure growth curve. Tumor fractal property prevails during entire TGK.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5339962 | PMC |
| http://dx.doi.org/10.1186/s12885-017-3159-y | DOI Listing |
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