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arXiv 2012.08252q-bio.TOphysics.bio-ph
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脑肿瘤耐药生长的数学模型

Mathematical model of brain tumour growth with drug resistance

José Trobia, Kun Tian, Antonio Marcos Batista, Celso Grebogi, Hai-Peng Ren, Moises Souza Santos, Paulo Ricardo Protachevicz, Fernando da Silva Borges, José Dani… 展开作者

José Trobia, Kun Tian, Antonio Marcos Batista, Celso Grebogi, Hai-Peng Ren, Moises Souza Santos, Paulo Ricardo Protachevicz, Fernando da Silva Borges, José Danilo Szezech, Ricardo Luiz Viana, Iberê Luiz Caldas, Kelly Cristiane Iarosz

摘要:

脑肿瘤是大量的异常细胞,可以在大脑中以不受控制的方式生长。有不同类型的恶性脑肿瘤。神经胶质瘤是从神经胶质细胞生长的恶性脑肿瘤,被鉴定为星形细胞瘤、少突胶质细胞瘤和室管膜瘤。我们研究了一个数学模型,它描述了神经胶质细胞-神经元相互作用,神经胶质瘤和化疗药物。在这项工作中,我们考虑药物敏感和耐药胶质瘤细胞。我们表明,连续和脉冲化疗可以杀死神经胶质瘤细胞的神经元损失最小。

英文摘要:

Brain tumours are masses of abnormal cells that can grow in an uncontrolled way in the brain. There are different types of malignant brain tumours. Gliomas are malignant brain tumours that grow from glial cells and are identified as astrocytoma, oligodendroglioma, and ependymoma. We study a mathematical model that describes glia-neuron interaction, glioma, and chemotherapeutic agent. In this work, we consider drug sensitive and resistant glioma cells. We show that continuous and pulsed chemotherapy can kill glioma cells with a minimal loss of neurons.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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