Unit of Neuropathology, Fondazione IRCCS Istituto Neurologico C. Besta, Via Celoria 11, 20133 Milan, Italy.
Neurol Sci. 2011 Nov;32 Suppl 2:S209-11. doi: 10.1007/s10072-011-0802-2.
With recent progress in radiological, pathological, immunohistochemical, molecular and genetic diagnoses, the characterisation of brain tumours has improved. The last World Health Organization (WHO) Classification of Tumours of the Central Nervous System was done in 2007, based on morphological features, growth pattern and molecular profile of neoplastic cells, defined malignancy grade. The neuropathological diagnosis and the grading of each histotype are based on identification of histopathological criteria and immunohistochemical data. Molecular and genetic profiles may identify different tumour subtypes varying in biological and clinical behaviour, indicating prognostic and predictive factors. In order to investigate new therapeutic approaches, it is important to study the molecular pathways responsible for proliferation, invasion, angiogenesis, and anaplastic transformation. Different prognostic and predictive factors for glioma patients were identified by genetic studies, such as the loss of heterozygosis on chromosome 1p and 19q for oligodendrogliomas, proangiogenic factors such as Vascular Endothelial Growth Factor for glioblastomas and the methylation status of gene promoter of MethylGuanine-MethylTransferase. In conclusion, the prognostic evaluation and the therapeutic strategies for patients depend on the synthesis of histological diagnosis, malignancy grade, gene-molecular profile, radiological images, surgical resection and clinical findings (age, tumour location, and "performance status").
随着放射学、病理学、免疫组织化学、分子和遗传学诊断的最新进展,脑肿瘤的特征得到了改善。上一次世界卫生组织(WHO)中枢神经系统肿瘤分类是在 2007 年完成的,基于肿瘤细胞的形态特征、生长模式和分子特征,定义了恶性程度等级。神经病理学诊断和每种组织类型的分级是基于识别组织病理学标准和免疫组织化学数据。分子和遗传特征可能会识别出不同的肿瘤亚型,这些亚型在生物学和临床行为上存在差异,提示预后和预测因素。为了研究新的治疗方法,研究负责增殖、侵袭、血管生成和间变转化的分子途径非常重要。通过遗传研究确定了胶质母细胞瘤患者的不同预后和预测因素,如少突胶质细胞瘤的 1p 和 19q 染色体杂合性缺失、血管内皮生长因子等促血管生成因子、甲基鸟嘌呤甲基转移酶基因启动子的甲基化状态。总之,患者的预后评估和治疗策略取决于组织学诊断、恶性程度分级、基因分子特征、影像学图像、手术切除和临床发现(年龄、肿瘤位置和“表现状态”)的综合分析。