Boudreau Christine R, Yang Isaac, Liau Linda M
Division of Neurosurgery, Brain Research Institute, Geffen School of Medicine at UCLA, University of California-Los Angeles, 10833 Le Conte Avenue, Los Angeles, CA 90095, USA.
Surg Neurol. 2005 Oct;64(4):286-94; discussion 294. doi: 10.1016/j.surneu.2005.03.033.
Gliomas represent the most common primary brain tumor. Despite recent advances in diagnostic imaging, neurosurgical technique, radiation therapy, and chemotherapy, significant advances in accurate prognosis and improved survival have not been achieved. Nevertheless, new developments in molecular biology could have potential impact on the clinical management of patients with these brain tumors. This review will describe the technological advances being used to enrich the classification of gliomas, present specific studies that have successfully used the new technologies to identify molecular subtypes of glioblastoma, and discuss the implications of such enhanced classification and molecular characterizations for the prediction of therapeutic response and the design of future brain tumor therapies.
Innovative techniques using complementary DNA and oligonucleotide microarrays (gene chips), tissue microarrays (tissue chips), and differential immunoabsorption have provided high throughput and potentially comprehensive approaches for the molecular characterization of human gliomas. Alterations of several tumor suppressor genes and oncogenes have already been identified as being critical to glioma transformation and progression. These approaches have led to the subclassification of glioblastoma multiforme into distinct subtypes based on the molecular signatures of the tumors.
Classifications of gliomas can now be enhanced with new techniques for comprehensive molecular characterization. Improved and efficient molecular profiling of brain tumors is advancing diagnosis/prognosis and identifying targets for novel and rational therapeutic approaches. Neurosurgeons and neuro-oncologists should be aware of these new developments so they can better advise and treat their patients.
胶质瘤是最常见的原发性脑肿瘤。尽管在诊断成像、神经外科技术、放射治疗和化疗方面取得了最新进展,但在准确预后和提高生存率方面尚未取得重大进展。然而,分子生物学的新发展可能会对这些脑肿瘤患者的临床管理产生潜在影响。本综述将描述用于丰富胶质瘤分类的技术进展,介绍已成功使用新技术识别胶质母细胞瘤分子亚型的具体研究,并讨论这种增强的分类和分子特征对治疗反应预测和未来脑肿瘤治疗设计的影响。
使用互补DNA和寡核苷酸微阵列(基因芯片)、组织微阵列(组织芯片)以及差异免疫吸附的创新技术,为人类胶质瘤的分子特征提供了高通量且可能全面的方法。已经确定几种肿瘤抑制基因和癌基因的改变对胶质瘤的转化和进展至关重要。这些方法已导致基于肿瘤分子特征将多形性胶质母细胞瘤细分为不同亚型。
现在可以通过用于全面分子特征分析的新技术来增强胶质瘤的分类。改进和高效的脑肿瘤分子谱分析正在推进诊断/预后,并确定新的合理治疗方法的靶点。神经外科医生和神经肿瘤学家应该了解这些新进展,以便更好地为患者提供建议和治疗。