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肿瘤分析:开发预后和预测因素以指导脑肿瘤治疗。

Tumor profiling: development of prognostic and predictive factors to guide brain tumor treatment.

机构信息

Department of Radiation Oncology, The University of Texas M.D. Anderson Cancer Center, 1515 Holcombe Boulevard, Unit 97, Houston, TX 77030, USA.

出版信息

Curr Oncol Rep. 2011 Feb;13(1):26-36. doi: 10.1007/s11912-010-0138-8.

DOI:10.1007/s11912-010-0138-8
PMID:21082294
Abstract

Primary brain tumors are a heterogeneous group of malignancies with highly variable outcomes, and diagnosis is largely based on the histological appearance of the tumors. However, the diversity of primary brain tumors has made prognostic determinations based purely on clinicopathologic variables difficult. There is an increasing body of data suggesting a significant amount of molecular diversity accounts for the heterogeneity of clinical observations, such as response to treatment and time to progression. The last decade has witnessed an explosive advance in our knowledge of the molecular genetics of brain tumors, due in large part to the availability of high-throughput profiling techniques and to the completion of the human genome sequencing project. The large amount of data generated by these efforts has enabled the identification of prognostic and predictive factors and helping to identify pathways which are driving tumor growth. Identification of biomarkers will enable better patient stratification and individualization of treatment.

摘要

原发性脑肿瘤是一组异质性恶性肿瘤,其预后差异很大,诊断主要基于肿瘤的组织学表现。然而,原发性脑肿瘤的多样性使得仅基于临床病理变量进行预后判断变得困难。越来越多的数据表明,大量的分子多样性解释了临床观察的异质性,例如对治疗的反应和进展时间。过去十年,由于高通量分析技术的应用和人类基因组测序项目的完成,我们对脑肿瘤的分子遗传学有了突破性的认识。这些努力产生的大量数据使我们能够确定预后和预测因素,并有助于确定驱动肿瘤生长的途径。鉴定生物标志物将能够更好地对患者进行分层,并对治疗进行个体化。

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Genomic profiling reveals alternative genetic pathways of meningioma malignant progression dependent on the underlying NF2 status.基因组分析揭示了依赖于潜在 NF2 状态的脑膜瘤恶性进展的替代遗传途径。
Clin Cancer Res. 2010 Aug 15;16(16):4155-64. doi: 10.1158/1078-0432.CCR-10-0891. Epub 2010 Aug 3.
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Cross-species genomics matches driver mutations and cell compartments to model ependymoma.跨物种基因组学将驱动突变和细胞区室相匹配,以建立室管膜瘤模型。
Nature. 2010 Jul 29;466(7306):632-6. doi: 10.1038/nature09173. Epub 2010 Jul 18.
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Identification of a CpG island methylator phenotype that defines a distinct subgroup of glioma.
鉴定出一种 CpG 岛甲基化表型,它定义了神经胶质瘤的一个独特亚群。
Cancer Cell. 2010 May 18;17(5):510-22. doi: 10.1016/j.ccr.2010.03.017. Epub 2010 Apr 15.
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MGMT promoter methylation is predictive of response to radiotherapy and prognostic in the absence of adjuvant alkylating chemotherapy for glioblastoma.MGMT 启动子甲基化可预测胶质母细胞瘤在无辅助烷化化疗的情况下对放疗的反应和预后。
Neuro Oncol. 2010 Feb;12(2):116-21. doi: 10.1093/neuonc/nop020. Epub 2009 Dec 14.
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A multigene predictor of outcome in glioblastoma.胶质母细胞瘤的多基因预后预测指标。
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Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1.整合基因组分析确定了具有 PDGFRA、IDH1、EGFR 和 NF1 异常的胶质母细胞瘤的临床相关亚型。
Cancer Cell. 2010 Jan 19;17(1):98-110. doi: 10.1016/j.ccr.2009.12.020.
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Intrinsic gene expression profiles of gliomas are a better predictor of survival than histology.胶质瘤的内在基因表达谱比组织学更能预测生存率。
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Clin Cancer Res. 2009 Oct 1;15(19):6002-7. doi: 10.1158/1078-0432.CCR-09-0715. Epub 2009 Sep 15.
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