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基于基因突变分析、拷贝数改变和 DNA 甲基化分析的中枢神经系统黑色素细胞肿瘤的综合基因组分类。

Integrated Genomic Classification of Melanocytic Tumors of the Central Nervous System Using Mutation Analysis, Copy Number Alterations, and DNA Methylation Profiling.

机构信息

Department of Dermatology, University Hospital Essen, West German Cancer Center, University Duisburg-Essen and the German Cancer Consortium (DKTK), Germany.

Dermatopathologie bei Mainz, Nieder-Olm, Germany.

出版信息

Clin Cancer Res. 2018 Sep 15;24(18):4494-4504. doi: 10.1158/1078-0432.CCR-18-0763. Epub 2018 Jun 11.

Abstract

In the central nervous system, distinguishing primary leptomeningeal melanocytic tumors from melanoma metastases and predicting their biological behavior solely using histopathologic criteria may be challenging. We aimed to assess the diagnostic and prognostic value of integrated molecular analysis. Targeted next-generation sequencing, array-based genome-wide methylation analysis, and BAP1 IHC were performed on the largest cohort of central nervous system melanocytic tumors analyzed to date, including 47 primary tumors of the central nervous system, 16 uveal melanomas, 13 cutaneous melanoma metastases, and 2 blue nevus-like melanomas. Gene mutation, DNA-methylation, and copy-number profiles were correlated with clinicopathologic features. Combining mutation, copy-number, and DNA-methylation profiles clearly distinguished cutaneous melanoma metastases from other melanocytic tumors. Primary leptomeningeal melanocytic tumors, uveal melanomas, and blue nevus-like melanoma showed common DNA-methylation, copy-number alteration, and gene mutation signatures. Notably, tumors demonstrating chromosome 3 monosomy and BAP1 alterations formed a homogeneous subset within this group. Integrated molecular profiling aids in distinguishing primary from metastatic melanocytic tumors of the central nervous system. Primary leptomeningeal melanocytic tumors, uveal melanoma, and blue nevus-like melanoma share molecular similarity with chromosome 3 and alterations, markers of poor prognosis. .

摘要

在中枢神经系统中,仅使用组织病理学标准来区分原发性软脑膜黑色素细胞瘤与黑色素瘤转移瘤并预测其生物学行为可能具有挑战性。我们旨在评估综合分子分析的诊断和预后价值。对迄今为止分析的最大中枢神经系统黑色素细胞瘤队列进行了靶向下一代测序、基于阵列的全基因组甲基化分析和 BAP1 IHC,包括 47 例中枢神经系统原发性肿瘤、16 例葡萄膜黑色素瘤、13 例皮肤黑色素瘤转移瘤和 2 例蓝痣样黑色素瘤。基因突变、DNA 甲基化和拷贝数谱与临床病理特征相关。突变、拷贝数和 DNA 甲基化谱的组合可清楚地区分皮肤黑色素瘤转移瘤与其他黑色素细胞瘤。原发性软脑膜黑色素细胞瘤、葡萄膜黑色素瘤和蓝痣样黑色素瘤表现出常见的 DNA 甲基化、拷贝数改变和基因突变特征。值得注意的是,表现出 3 号染色体单体和 BAP1 改变的肿瘤在该组内形成了一个同质亚组。综合分子分析有助于区分中枢神经系统的原发性和转移性黑色素细胞瘤。原发性软脑膜黑色素细胞瘤、葡萄膜黑色素瘤和蓝痣样黑色素瘤与 3 号染色体和 BAP1 改变具有分子相似性,是预后不良的标志物。

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