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Báo cáo y học: " A multiscale mathematical model of cancer, and its use in analyzing irradiation therapies"
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Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: A multiscale mathematical model of cancer, and its use in analyzing irradiation therapies | Theoretical Biology and Medical Modelling BioMed Central Research Open Access A multiscale mathematical model of cancer and its use in analyzing irradiation therapies Benjamin Ribba 1 Thierry Colin2 and Santiago Schnell3 Address Unstitute for Theoretical Medicine and Clinical Pharmacology Department Faculty of Medicine R.T.H Laennec University of Lyon Paradin St. P.O.B 8071 69376 Lyon Cedex 08 France 2Mathématiques Appliquées de Bordeaux CNRS UMR 5466 and INRIA futurs University of Bordeaux 1 351 cours de la liberation 33405 Talence Cedex France and 3Indiana University School of Informatics and Biocomplexity Institute 1900 East Tenth Street Eigenmann Hall 906 Bloomington IN 47406 USA Email Benjamin Ribba - ribba@upcl.univ-lyon1.fr Thierry Colin - colin@math.u-bordeaux.fr Santiago Schnell - schnell@indiana.edu Corresponding author Published 10 February 2006 Received 28 September 2005 Theoretical Biology and Medical Modelling 2006 3 7 doi 10.1186 1742-4682-3-7 Accepted 10 February 2006 This article is available from http www.tbiomed.cOm content 3 1 7 2006 Ribba et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Radiotherapy outcomes are usually predicted using the Linear Quadratic model. However this model does not integrate complex features of tumor growth in particular cell cycle regulation. Methods In this paper we propose a multiscale model of cancer growth based on the genetic and molecular features of the evolution of colorectal cancer. The model includes key genes cellular kinetics tissue dynamics macroscopic tumor evolution and radiosensitivity dependence on the cell cycle phase. We investigate the role of gene-dependent cell cycle regulation in the response of tumors to therapeutic irradiation