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Gene expression-based classification of nonseminomatous male germ cell tumors

机译:基于基于基于基于基于基于非遗传性男性生殖细胞肿瘤的分类

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Male adult germ cell tumors (GCTs) comprise two major histologic groups: seminomas and nonseminomas. Nonseminomatous GCTs (NSGCTs) can be further divided into embryonal carcinoma (EC), teratoma (T), yolk sac tumor (YS), and choriocarcinoma (CC) on the basis of the lineage differentiation that they exhibit. NSGCTs frequently present as mixed tumors consisting of two or more histological subtypes, often limiting correlative studies of clinical and molecular features to histology. We sought to develop a molecular classifier that could predict the predominant histologic subtype within mixed NSGCT tumor samples. The expression profiles of 84 NSGCTs (42 pure and 42 mixed) and normal age-matched testes were obtained using Affymetrix microarrays. Using prediction analysis for microarrays, we identified 146 transcripts that classified the histology of pure NSGCTs samples with 93% accuracy. When applied to mixed NSGCTs, the classifier predicted a histology that was consistent with one of the reported components in 93% of cases. Among the predictive transcripts were CGB (high in CC), LCN2 (high in T), BMP2 (high in YS), and POU5F1 (high in EC). Thus, the expression-based classifier accurately assigned a single predominant histology to mixed NSGCTs, and identified transcripts differentially expressed between histologic components with relevance to NSGCT differentiation.
机译:男性成年细胞瘤(GCT)包含两个主要的组织学团体:emminomas和非eminomas。基于它们表现出的谱系分化,不可分为胚胎癌(EC),畸胎瘤(T),卵巢瘤(T),卵瘤(T),卵瘤肿瘤(CC)。 NSGCT经常存在于由两种或更多种组织学亚型组成的混合肿瘤,通常限制对组织学的临床和分子特征的相关性研究。我们寻求开发一种分子分类器,其可以预测混合NSGCT肿瘤样品中的主要组织学亚型。使用Affymetrix微阵列获得84 nSGCT(42个纯和42混合)和正常年龄匹配的睾丸的表达谱。使用微阵列的预测分析,我们确定了146个转录物,其分类纯NSGCTS样品的组织学,具有93 %的精度。当应用于混合的NSGCT时,分类器预测了与报告的组件之一一致的组织学,其在93 %的情况下。在预测性转录物中是CGB(CC中高),LCN2(高于T),BMP2(ys高),和POU5F1(EC中高)。因此,基于表达式的分类器精确地将单个主要组织学分配给混合的NSGCT,并且鉴定在组织学组件之间的差异表达的转录物,其与NSGCT差异相关。

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