Novel approaches for glioblastoma treatment: Focus on tumor heterogeneity, treatment resistance, and computational tools

摘要: Background Glioblastoma (GBM) is a highly aggressive primary brain tumor. Currently, the suggested line of action surgical resection followed by radiotherapy and treatment with adjuvant temozolomide, DNA alkylating agent. However, ability tumor cells to deeply infiltrate surrounding tissue makes complete quite impossible, and, in consequence, probability recurrence high, prognosis not positive. GBM heterogeneous adapts most individuals. Nevertheless, these mechanisms adaption are unknown. Recent findings In this review, we will discuss recent discoveries molecular cellular heterogeneity, therapeutic resistance, new technological approaches identify treatments for GBM. The combination biology computer resources allow use algorithms apply artificial intelligence machine learning potential pathways drug candidates. Conclusion These generate better understanding pathogenesis result novel reduce or block devastating consequences cancers.