Nambiar Sandeep, Mirmohammadsadegh Alireza, Bär Annett, Bardenheuer Walter, Roeder Gernot, Hengge Ulrich R
Heine University, Department of Dermatology, Heinrich Heine, Moorenstr. 5, 40225 Dusseldorf, Germany.
Expert Rev Mol Diagn. 2004 Jul;4(4):549-57. doi: 10.1586/14737159.4.4.549.
A complex set of genetic alterations occurs within a cell in order to permit neoplastic transformation. Human cancers undergo a continuous development from benign to malignant states, as most thoroughly documented in the mole-to-melanoma transition. Several specific genetic and transcriptional events correlate with the prolonged multistep sequence from early to late clinical stages of the disease. High-throughput microarrays are being used in expression profiling analyses with the aim of discovering genes and their pathways, functional characterization of genes and tumor subclassification. There are, however, many potential pitfalls in the use of microarrays that result in false leads and erroneous conclusions. This review summarizes the current status of the application of microarray technology in melanoma research. It also attempts to outline some of the steps needed to develop the key features to be observed in developing diagnostic and prognostic classification systems based upon gene expression profiling.
为了实现肿瘤转化，细胞内会发生一系列复杂的基因改变。人类癌症经历从良性到恶性状态的持续发展过程，这在痣到黑色素瘤的转变中得到了最充分的记录。一些特定的基因和转录事件与疾病从早期到晚期临床阶段的长期多步骤序列相关。高通量微阵列正用于表达谱分析，目的是发现基因及其通路、基因的功能特征以及肿瘤亚分类。然而，使用微阵列存在许多潜在陷阱，会导致错误的线索和结论。本综述总结了微阵列技术在黑色素瘤研究中的应用现状。它还试图概述在基于基因表达谱开发诊断和预后分类系统时，为观察关键特征所需的一些步骤。
