RESUMO
Combined radiotherapy and hyperthermia offer great potential for the successful treatment of radio-resistant tumours through thermo-radiosensitization. Tumour response heterogeneity, due to intrinsic, or micro-environmentally induced factors, may greatly influence treatment outcome, but is difficult to account for using traditional treatment planning approaches. Systems oncology simulation, using mathematical models designed to predict tumour growth and treatment response, provides a powerful tool for analysis and optimization of combined treatments. We present a framework that simulates such combination treatments on a cellular level. This multiscale hybrid cellular automaton simulates large cell populations (up to 107 cells) in vitro, while allowing individual cell-cycle progression, and treatment response by modelling radiation-induced mitotic cell death, and immediate cell kill in response to heating. Based on a calibration using a number of experimental growth, cell cycle and survival datasets for HCT116 cells, model predictions agreed well (R2 > 0.95) with experimental data within the range of (thermal and radiation) doses tested (0-40 CEM43, 0-5 Gy). The proposed framework offers flexibility for modelling multimodality treatment combinations in different scenarios. It may therefore provide an important step towards the modelling of personalized therapies using a virtual patient tumour.
Assuntos
Ciclo Celular/efeitos da radiação , Raios gama , Hipertermia Induzida , Modelos Biológicos , Neoplasias , Sobrevivência Celular/efeitos da radiação , Terapia Combinada , Células HCT116 , Humanos , Neoplasias/metabolismo , Neoplasias/patologia , Neoplasias/terapiaRESUMO
The aim of this study was to compare the ability of laying hen abdominal macrophages during the second production cycle by using two different methods of induced molting. Two groups of Single Comb White Leghorn hens were induced to molt at the end of their first production cycle using feed restriction and ZnO supplementation. Macrophages were isolated from the abdomen and in vitro cytotoxic ability, at which point macrophage bactericidal moiety nitric oxide (NO) was recorded. Serum IgM and IgG titers against sheep red blood cells (SRBC) were determined at various stages: before molting (BM), 5% production level (5P), peak production stage (PP) and at the end of production (EP) level after fast and Zn-induced molt. Macrophages adherence percentage remained unaffected (p< or =0.05) during all production cycles, whereas the macrophage engulfment percentage and engulfment/cell was significantly higher (p< or =0.05) at PP in both fast and Zn-induced molted groups, as compared to all other studied stages. Macrophage NO production was increased (p< or =0.05) at PP and after SRBC and lipopolysaccrides (LPS) stimulus, when molted with ZnO supplementation. Serum total antibody titer against SRBC increased serum IgG and IgM titers during the second production cycle by Zn-induced molt. However, molting stress greatly reduced IgG and IgM production at the 5P stage. Serum Zn concentration increased with the onset of production but decreased at the EP stage irrespective of their molting regimes. Our results validate the strengthened innate and acquired immune response during the second production cycle after Zn-induced molting instead of fasting.