Onken Michael D, Worley Lori A, Ehlers Justis P, Harbour J William
Department of Ophthalmology & Visual Sciences, Washington University School of Medicine, St. Louis, Missouri, USA.
Cancer Res. 2004 Oct 15;64(20):7205-9. doi: 10.1158/0008-5472.CAN-04-1750.
Melanomas are notoriously difficult to classify because of a lack of discrete clinical and pathological stages. Here, we show that primary uveal melanomas surprisingly cluster into two distinct molecular classes based on gene expression profile. Genes that discriminate class 1 (low-grade) from class 2 (high-grade) include highly significant clusters of down-regulated genes on chromosome 3 and up-regulated genes on chromosome 8q, which is consistent with previous cytogenetic studies. A three-gene signature allows biopsy-size tumor samples to be assigned accurately to tumor classes using either array or PCR platforms. Most importantly, this molecular classification strongly predicts metastatic death and outperforms other clinical and pathological prognostic indicators. These studies offer new insights into melanoma pathogenesis, and they provide a practical foundation for effective clinical predictive testing.
黑色素瘤因缺乏明确的临床和病理分期而极难分类。在此,我们表明原发性葡萄膜黑色素瘤基于基因表达谱令人惊讶地聚为两个不同的分子类别。区分1类(低级别)和2类(高级别)的基因包括3号染色体上显著下调的基因簇以及8q染色体上上调的基因簇,这与先前的细胞遗传学研究一致。一个三基因特征使得活检大小的肿瘤样本能够使用阵列或PCR平台准确地归入肿瘤类别。最重要的是,这种分子分类能有力地预测转移死亡,且优于其他临床和病理预后指标。这些研究为黑色素瘤发病机制提供了新见解,并为有效的临床预测检测提供了实用基础。