A model to describe potential effects of chemotherapy on critical radiobiological treatments

5th International Conference on Mathematical Modeling in Physical Sciences

物理学;数学

Rodríguez-Pérez, D.^1 ; Desco, M.M.^1 ; Antoranz, J.C.^1

Dep. Física Matemática y de Fluidos, Universidad Nacional de Educación A Distancia, c/Senda del Rey, 9, Madrid

28040, Spain^1

关键词: Cell metabolism;    Combined therapy;    Different mechanisms;    Discrete modeling;    Enhanced effects;    Potential effects;    Prostate cancers;    Radiobiological modeling;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/738/1/012107/pdf
DOI  :  10.1088/1742-6596/738/1/012107

来源: IOP

【 摘 要 】

Although chemo- and radiotherapy can annihilate tumors on their own. they are also used in coadjuvancy: improving local effects of radiotherapy using chemotherapy as a radiosensit.izer. The effects of radiotherapy are well described by current radiobiological models. The goal of this work is to describe a discrete radiotherapy model, that has been previously used describe high radiation dose response as well as unusual radio-responses of some types of tumors (e.g. prostate cancer), to obtain a model of chemo+radiotherapy that can describe how the outcome of their combination is a more efficient removal of the tumor. Our hypothesis is that, although both treatments haven different mechanisms, both affect similar key points of cell metabolism and regulation, that lead to cellular death. Hence, we will consider a discrete model where chemotherapy may affect a fraction of the same targets destroyed by radiotherapy. Although radiotherapy reaches all cells equally, chemotherapy diffuses through a tumor attaining lower concentration in its center and higher in its surface. With our simulations we study the enhanced effect of combined therapy treatment and how it depends on the tissue critical parameters (the parameters of the lion-extensive radiobiological model), the number of "targets" aimed at by chemotherapy, and the concentration and diffusion rate of the drug inside the tumor. The results show that an equivalent, cliemo-radio-dose can be computed that allows the prediction of the lower radiation dose that causes the same effect than a radio-only treatment.