System-based approaches as prognostic tools for glioblastoma

被引:9
作者
Salvucci, Manuela [1 ]
Zakaria, Zaitun [1 ]
Carberry, Steven [1 ]
Tivnan, Amanda [1 ]
Seifert, Volker [2 ]
Kogel, Donat [2 ]
Murphy, Brona M. [1 ]
Prehn, Jochen H. M. [1 ]
机构
[1] Royal Coll Surgeons Ireland, Dept Physiol & Med Phys, Ctr Syst Med, 123 St Stephens Green, Dublin 2, Ireland
[2] Frankfurt Univ Hosp, Dept Neurosurg, Frankfurt, Germany
基金
爱尔兰科学基金会;
关键词
Apoptosis; Computational model; Glioblastoma; Molecular signatures; Network model; Numerical simulation; Precision oncology; Prognostic biomarker; Systems biology; Systems medicine; CASPASE ACTIVATION; GENOMIC CHARACTERIZATION; ADJUVANT TEMOZOLOMIDE; PRECISION MEDICINE; MATHEMATICAL-MODEL; COLORECTAL-CANCER; CLINICAL-OUTCOMES; BAX-ACTIVATION; CELL-DEATH; OMICS DATA;
D O I
10.1186/s12885-019-6280-2
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: The evasion of apoptosis is a hallmark of cancer. Understanding this process holistically and overcoming apoptosis resistance is a goal of many research teams in order to develop better treatment options for cancer patients. Efforts are also ongoing to personalize the treatment of patients. Strategies to confirm the therapeutic efficacy of current treatments or indeed to identify potential novel additional options would be extremely beneficial to both clinicians and patients. In the past few years, system medicine approaches have been developed that model the biochemical pathways of apoptosis. These systems tools incorporate and analyse the complex biological networks involved. For their successful integration into clinical practice, it is mandatory to integrate systems approaches with routine clinical and histopathological practice to deliver personalized care for patients. Results: We review here the development of system medicine approaches that model apoptosis for the treatment of cancer with a specific emphasis on the aggressive brain cancer, glioblastoma. Conclusions: We discuss the current understanding in the field and present new approaches that highlight the potential of system medicine approaches to influence how glioblastoma is diagnosed and treated in the future.
引用
收藏
页数:17
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