Farias-Eisner Gina, Bank Anna M, Hwang Brian Y, Appelboom Geoffrey, Piazza Matthew A, Bruce Samuel S, Sander Connolly E
Department of Neurological Surgery, Cerebrovascular Lab, Columbia University, College of Physicians & Surgeons, New York, NY, USA.
Br J Neurosurg. 2012 Apr;26(2):189-94. doi: 10.3109/02688697.2011.629698. Epub 2011 Dec 17.
Glioblastoma multiforme (GBM) is the most common and aggressive primary brain tumour, with few available therapies providing significant improvements in mortality. Biomarkers, which are defined by the National Institutes of Health as 'characteristics that are objectively measured and evaluated as indicators of normal biologic processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention', have the potential to play valuable roles in the diagnosis and treatment of GBM. Although GBM biomarker research is still in its early stages because of the tumour's complex pathophysiology, a number of potential markers have been identified which can be measured in either brain tissue or blood serum. In conjunction with other clinical data, particularly neuroimaging modalities such as MRI, these proteins could contribute to the clinical management of GBM by helping to classify tumours, predict prognosis and assess treatment response. In this article, we review the current understanding of GBM pathophysiology and recent advances in GBM biomarker research, and discuss the potential clinical implications of promising biomarkers. A better understanding of GBM pathophysiology will allow researchers and clinicians to identify optimal biomarkers and methods of interpretation, leading to advances in tumour classification, prognosis prediction and treatment assessment.
多形性胶质母细胞瘤(GBM)是最常见且侵袭性最强的原发性脑肿瘤,目前几乎没有有效的治疗方法能显著提高患者的生存率。美国国立卫生研究院将生物标志物定义为“能够客观测量和评估的特征,可作为正常生物学过程、致病过程或治疗干预的药理反应指标”,其在GBM的诊断和治疗中具有潜在的重要作用。尽管由于GBM复杂的病理生理学,其生物标志物研究仍处于早期阶段,但已鉴定出一些可在脑组织或血清中测量的潜在标志物。结合其他临床数据,特别是MRI等神经影像学检查手段,这些蛋白质有助于对肿瘤进行分类、预测预后和评估治疗反应,从而为GBM的临床管理提供帮助。在本文中,我们综述了目前对GBM病理生理学的认识以及GBM生物标志物研究的最新进展,并讨论了有前景的生物标志物的潜在临床意义。更好地理解GBM病理生理学将有助于研究人员和临床医生识别最佳生物标志物及解读方法,推动肿瘤分类、预后预测和治疗评估等方面的进展。