Laboratoire Interdisciplinaire des Environnements Continentaux, Universite de Lorraine, CNRS UMR 7360, 8 rue du General Delestraint, 57070 METZ, France.
Math Biosci Eng. 2013 Jun;10(3):565-78. doi: 10.3934/mbe.2013.10.565.
Diffuse infiltrative gliomas are adjudged to be the most common primary brain tumors in adults and they tend to blend in extensively in the brain micro-environment. This makes it difficult for medical practitioners to successfully plan effective treatments. In attempts to prolong the lengths of survival times for patients with malignant brain tumors, novel therapeutic alternatives such as gene therapy with oncolytic viruses are currently being explored. Based on such approaches and existing work, a spatio-temporal model that describes interaction between tumor cells and oncolytic viruses is developed. Conditions that lead to optimal therapy in minimizing cancer cell proliferation and otherwise are analytically demonstrated. Numerical simulations are conducted with the aim of showing the impact of virotherapy on proliferation or invasion of cancer cells and of estimating survival times.
弥漫性浸润性神经胶质瘤被认为是成年人中最常见的原发性脑肿瘤，它们往往广泛融入大脑微环境中。这使得医疗从业者难以成功地制定有效的治疗计划。为了延长恶性脑肿瘤患者的生存时间，目前正在探索新的治疗选择，如溶瘤病毒基因治疗。基于这些方法和现有工作，开发了一种描述肿瘤细胞和溶瘤病毒之间相互作用的时空模型。分析了在最小化癌细胞增殖和其他方面导致最佳治疗的条件。进行了数值模拟，旨在展示病毒疗法对癌细胞增殖或侵袭的影响，并估计生存时间。
