Ganau Mario, Paris Marco, Syrmos Nikolaos, Ganau Laura, Ligarotti Gianfranco K I, Moghaddamjou Ali, Prisco Lara, Ambu Rossano, Chibbaro Salvatore
Department of Neurosurgery, Toronto Western Hospital, University of Toronto, Toronto, ON M5T 2S8, Canada.
School of Medicine, University of Cagliari, 09124 Cagliari, Italy.
Medicines (Basel). 2018 Feb 26;5(1):23. doi: 10.3390/medicines5010023.
The field of neuro-oncology is rapidly progressing and internalizing many of the recent discoveries coming from research conducted in basic science laboratories worldwide. This systematic review aims to summarize the impact of nanotechnology and biomedical engineering in defining clinically meaningful predictive biomarkers with a potential application in the management of patients with brain tumors. Data were collected through a review of the existing English literature performed on Scopus, MEDLINE, MEDLINE in Process, EMBASE, and/or Cochrane Central Register of Controlled Trials: all available basic science and clinical papers relevant to address the above-stated research question were included and analyzed in this study. Based on the results of this systematic review we can conclude that: (1) the advances in nanotechnology and bioengineering are supporting tremendous efforts in optimizing the methods for genomic, epigenomic and proteomic profiling; (2) a successful translational approach is attempting to identify a growing number of biomarkers, some of which appear to be promising candidates in many areas of neuro-oncology; (3) the designing of Randomized Controlled Trials will be warranted to better define the prognostic value of those biomarkers and biosignatures.
神经肿瘤学领域正在迅速发展，并将全球基础科学实验室的许多最新研究成果纳入其中。本系统综述旨在总结纳米技术和生物医学工程在定义具有临床意义的预测性生物标志物方面的影响，这些生物标志物在脑肿瘤患者的管理中具有潜在应用价值。通过对Scopus、MEDLINE、MEDLINE in Process、EMBASE和/或Cochrane对照试验中央注册库上现有英文文献的回顾收集数据：本研究纳入并分析了所有与上述研究问题相关的基础科学和临床论文。基于本系统综述的结果，我们可以得出以下结论：（1）纳米技术和生物工程的进展正在为优化基因组、表观基因组和蛋白质组分析方法提供巨大支持；（2）一种成功的转化方法正在尝试识别越来越多的生物标志物，其中一些在神经肿瘤学的许多领域似乎是有前景的候选物；（3）有必要设计随机对照试验，以更好地确定这些生物标志物和生物特征的预后价值。
