Ebert Benjamin L, Golub Todd R
Dana Farber Cancer Institute, D640, 44 Binney St, Boston, MA 02115, USA.
Blood. 2004 Aug 15;104(4):923-32. doi: 10.1182/blood-2004-01-0274. Epub 2004 May 20.
In the past several years, experiments using DNA microarrays have contributed to an increasingly refined molecular taxonomy of hematologic malignancies. In addition to the characterization of molecular profiles for known diagnostic classifications, studies have defined patterns of gene expression corresponding to specific molecular abnormalities, oncologic phenotypes, and clinical outcomes. Furthermore, novel subclasses with distinct molecular profiles and clinical behaviors have been identified. In some cases, specific cellular pathways have been highlighted that can be therapeutically targeted. The findings of microarray studies are beginning to enter clinical practice as novel diagnostic tests, and clinical trials are ongoing in which therapeutic agents are being used to target pathways that were identified by gene expression profiling. While the technology of DNA microarrays is becoming well established, genome-wide surveys of gene expression generate large data sets that can easily lead to spurious conclusions. Many challenges remain in the statistical interpretation of gene expression data and the biologic validation of findings. As data accumulate and analyses become more sophisticated, genomic technologies offer the potential to generate increasingly sophisticated insights into the complex molecular circuitry of hematologic malignancies. This review summarizes the current state of discovery and addresses key areas for future research.
在过去几年中,使用DNA微阵列的实验为血液系统恶性肿瘤日益精细的分子分类学做出了贡献。除了对已知诊断分类的分子谱进行表征外,研究还确定了与特定分子异常、肿瘤表型和临床结果相对应的基因表达模式。此外,还发现了具有不同分子谱和临床行为的新亚类。在某些情况下,特定的细胞途径已被突出显示,可作为治疗靶点。微阵列研究的结果正开始作为新型诊断测试进入临床实践,并且正在进行临床试验,其中治疗药物正被用于靶向通过基因表达谱鉴定的途径。虽然DNA微阵列技术正逐渐成熟,但全基因组基因表达调查产生的大量数据集很容易导致虚假结论。在基因表达数据的统计解释和研究结果的生物学验证方面仍存在许多挑战。随着数据的积累和分析变得更加复杂,基因组技术有可能对血液系统恶性肿瘤复杂的分子电路产生越来越深入的见解。本综述总结了当前的发现状态,并探讨了未来研究的关键领域。