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Content archived on 2023-03-06

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Experts of the University of Granada predict tumour growth with Math Model

Experts of the UGR have found a Math model that will allow them to carry out experiments on tumour cell proliferation processes and find out their behaviour. ‘Acting on the cell-cell communication process to try to control gene activation or deactivation may become an alternative therapy to fight tumour growth in the near future’, explained Juan Soler, director of the research.

Experts of the University of Granada (on the fields of Biology, Chemistry, Medicine and Physics) have found a Math model that will allow them to carry out experiments on tumour cell proliferation processes and find out their behaviour. ‘Acting on the cell-cell communication process to try to control gene activation or deactivation may become an alternative therapy to fight tumour growth in the near future’, explained Juan Soler, director of the research. This research work, led by Soler, from the Departamento de Matemática Aplicada de la UGR, and funded with 150,900 euros by the Andalusian Ministry for Innovation, will allow improving traditional tests with animal models, which were until now the key to describe tumour growth mechanisms. Moreover, with this tool you can carry out experiments changing the variables that are present in the biological process with more control and in coordination with clinical trials. This will make research in the field of tumour growth easier, and will save tests with embryos, mice or chickens, which were essential until now. This model is specific to reproduce the tumour cell-cell communication process and reproduces with great accuracy all the mechanisms of chemical signal transmission, the cell reception of such signals and changes of the cellular functions resulting from such communication. All this has been achieved by using differential equations to describe each variable used which are integrated by means of complex equation systems that, once resolved, are contrasted with the results of the same processes in a real model. This way, the model is adjusted and readjusted until it does represent the biological process requested. The mathematic advance necessary for the development of the model has been complemented by wide research work into the fields of biology and cellular physiology. More specifically, cellular communication chemical mechanisms deriving from the Sonic Hedgehog (SHH) protein and its equivalent in flies, called HH, which play an important function in the spreading of information on the growth and development of cellular groups. The function this protein plays when it activates the GLI gene –which in turn affect tumour control- has been analysed. In different experiments, scientists, in collaboration with Mollecular Biology centre Severo Ochoa and the University of Geneva, have proven that SHH transport control can make mice in vivo inoculated tumours disappear.

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