Department of Pathology, Nijmegen Center for Molecular Life Sciences UMC St Radboud, Nijmegen, The Netherlands.
Brain Pathol. 2011 May;21(3):308-20. doi: 10.1111/j.1750-3639.2010.00447.x. Epub 2010 Nov 3.
Up till now, typing and grading of diffuse gliomas is based on histopathological features. However, more objective tools are needed to improve reliable assessment of their biological behavior. We evaluated 331 diffuse gliomas for copy number changes involving 1p, 19q, CDKN2A, PTEN and EGFR(vIII) by Multiplex Ligation-dependent Probe Amplification (MLPA®, Amsterdam, The Netherlands). Specifically based on the co-occurrence of these aberrations we built a model for the timing of the different events and their exact nature (hemi- → homozygous loss; low-level gain → (high-copy) amplification) in the course of molecular progression. The mutation status of IDH1 and TP53 was also evaluated and shown to correlate with the level of molecular progression. The relevance of the proposed model was confirmed by analysis of 36 sets of gliomas and their 39 recurrence(s) whereas survival analysis for anaplastic gliomas confirmed the actual prognostic relevance of detecting molecular malignancy. Moreover, based on our results, molecular diagnostic analysis of 1p/19q can be further improved as different aberrations were identified, some of them being indicative for advanced molecular malignancy rather than for favorable tumor behavior. In conclusion, identification of molecular malignancy as proposed will aid in establishing a risk profile for individual patients and thereby in therapeutic decision making.
到目前为止,弥漫性神经胶质瘤的分型和分级主要依赖于组织病理学特征。然而,我们需要更客观的工具来改善对其生物学行为的可靠评估。我们通过多重连接依赖探针扩增(MLPA®,荷兰阿姆斯特丹)评估了 331 例弥漫性神经胶质瘤的 1p、19q、CDKN2A、PTEN 和 EGFR(vIII) 的拷贝数变化。具体来说,我们根据这些异常的共同发生情况,构建了一个模型,用于在分子进展过程中对不同事件的发生时间及其确切性质(半合子→纯合子缺失;低水平增益→(高拷贝)扩增)进行建模。还评估了 IDH1 和 TP53 的突变状态,结果表明其与分子进展水平相关。通过对 36 组神经胶质瘤及其 39 次复发进行分析,证实了所提出模型的相关性,而对间变性神经胶质瘤的生存分析则证实了检测分子恶性的实际预后相关性。此外,基于我们的结果,1p/19q 的分子诊断分析可以进一步改进,因为已经确定了不同的异常,其中一些异常表明存在高级别的分子恶性,而不是有利的肿瘤行为。总之,如前所述,识别分子恶性有助于为个别患者建立风险概况,并由此在治疗决策中提供帮助。