Molecular classification of cutaneous malignant melanoma by gene expression profiling
Molecular classification of cutaneous malignant melanoma by gene expression profiling
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DOI：
10.1038/35020115
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发表时间：
2000-08-03
期刊：
影响因子：
64.8
通讯作者：
Trent, J
中科院分区：
文献类型：
--
作者：
Bittner, M;Meitzer, P;Trent, J
最常见的人类癌症是皮肤恶性肿瘤（1，2）。皮肤黑色素瘤的发病率急剧上升，晚期疾病的非手术治疗进展甚微（3，4）。尽管在确定黑色素瘤结局的独立预测因子方面做出了巨大努力，但尚无公认的组织病理学、分子或免疫组化标记物可定义该肿瘤的亚群（2，3）。因此，尽管黑色素瘤被认为具有不同的“分类学”形式，但这些被认为是连续谱的一部分，而不是离散实体（2）。在这里，我们报告发现的一个子集的黑色素瘤确定的数学分析的基因表达的一系列样品。值得注意的是，在体外形成原始管状网络的侵袭性黑色素瘤中，作为该亚群分类基础的许多基因受到差异调节，这是一些高度侵袭性转移性黑色素瘤的特征（5）。全球转录分析可以识别未识别的皮肤黑色素瘤亚型，并预测实验验证的表型特征，可能是重要的疾病进展。
The most common human cancers are malignant neoplasms of the skin(1,2). Incidence of cutaneous melanoma is rising especially steeply, with minimal progress in non-surgical treatment of advanced disease(3,4). Despite significant effort to identify independent predictors of melanoma outcome, no accepted histopathological, molecular or immunohistochemical marker defines subsets of this neoplasm(2,3). Accordingly, though melanoma is thought to present with different 'taxonomic' forms, these are considered part of a continuous spectrum rather than discrete entities(2). Here we report the discovery of a subset of melanomas identified by mathematical analysis of gene expression in a series of samples. Remarkably, many genes underlying the classification of this subset are differentially regulated in invasive melanomas that form primitive tubular networks in vitro, a feature of some highly aggressive metastatic melanomas(5). Global transcript analysis can identify unrecognized subtypes of cutaneous melanoma and predict experimentally verifiable phenotypic characteristics that may be of importance to disease progression.