分子细胞遗传学:癌症诊断不可或缺的工具。

Thomas Sk Wan, Edmond Sk Ma
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引用次数: 30

摘要

在传统的核型分析中,细胞遗传学畸变可能无法被检测或识别。在过去的十年里,分子细胞遗传学技术在方法论上取得了突飞猛进的发展。这些细胞遗传学技术为传统条带的黑白世界增添了色彩。荧光原位杂交(FISH)研究已成为白血病和癌症基础研究和临床研究以及诊断中不可或缺的工具。FISH可以通过针对特定DNA序列的荧光标记DNA探针来鉴定染色体异常。随后,基于fish的测试,如多色核型、比较基因组杂交(CGH)和阵列CGH已用于新兴的临床应用,因为它们能够解决复杂的核型畸变和基因组失衡的全局扫描。最近,跨物种阵列CGH分析也被用于癌症基因鉴定。FISH的临床影响是关键的,特别是在血液病的诊断、预后和治疗决策方面,所有这些都促进了个性化医疗的实践。这篇综述总结了这些FISH技术在揭示染色体变化方面的方法和当前的应用,并强调了该领域如何从传统方法转向分子细胞遗传学方法。此外,还说明了最近开发的FISH测试在提供遗传异常信息方面的潜力。
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Molecular cytogenetics: an indispensable tool for cancer diagnosis.

Cytogenetic aberrations may escape detection or recognition in traditional karyotyping. The past decade has seen an explosion of methodological advances in molecular cytogenetics technology. These cytogenetics techniques add color to the black and white world of conventional banding. Fluorescence in-situ hybridization (FISH) study has emerged as an indispensable tool for both basic and clinical research, as well as diagnostics, in leukemia and cancers. FISH can be used to identify chromosomal abnormalities through fluorescent labeled DNA probes that target specific DNA sequences. Subsequently, FISH-based tests such as multicolor karyotyping, comparative genomic hybridization (CGH) and array CGH have been used in emerging clinical applications as they enable resolution of complex karyotypic aberrations and whole global scanning of genomic imbalances. More recently, crossspecies array CGH analysis has also been employed in cancer gene identification. The clinical impact of FISH is pivotal, especially in the diagnosis, prognosis and treatment decisions for hematological diseases, all of which facilitate the practice of personalized medicine. This review summarizes the methodology and current utilization of these FISH techniques in unraveling chromosomal changes and highlights how the field is moving away from conventional methods towards molecular cytogenetics approaches. In addition, the potential of the more recently developed FISH tests in contributing information to genetic abnormalities is illustrated.

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