微阵列在癌症医学中的临床意义

J. Kang
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引用次数: 1

摘要

癌症与一系列精心安排的遗传变化以及与致癌过程有因果关系的变化的识别有关。为了阐明癌症的癌变机制,有必要在各个水平上重建分子事件。微阵列技术是一个多功能平台,允许在全基因组范围内进行快速遗传分析,并彻底改变了评估遗传标记和癌症遗传学的变化。自20世纪90年代中期发展以来,这些技术已成为对抗癌症的关键工具。微阵列数据已经导致实体肿瘤分子亚类的鉴定,其特征是不同的致癌途径,以及多基因预后或预测模型的发展相当于或优于那些已建立的临床参数。目前,通过这些检测发现的一些基因组畸变目前被用作靶向治疗癌症治疗的预测标记。但是到目前为止,微阵列是如何工作的,它们在癌症诊断和治疗中的应用又是如何的呢?本文综述了微阵列技术在癌症靶向治疗领域的主要应用,并讨论了其在临床应用中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical Implications of Microarray in Cancer Medicine
Cancers are associated with an array of orchestrated genetic changes and the identification of changes causally related to the carcinogenic process. To elucidate the mechanism of cancer carcinogenesis, it is necessary to reconstruct molecular events at each level. Microarray technology is a versatile platform that allows rapid genetic analysis to take place on a genome-wide scale and has revolutionized to evaluate genetic markers and changes in cancer genetics. Since, their development in the mid-1990s, these technologies have become a key tool in the fight against cancer. Microarray data have led to the identification of molecular subclasses of solid tumors characterized by distinct oncogenic pathways, as well as the development of multigene prognostic or predictive models equivalent or superior to those of established clinical parameters. Currently, several genomic aberrations discovered by these assays are presently being used as predictive markers for cancer treatment with targeted therapeutics. But how do microarrays work and just how have they been used in cancer diagnosis and treatment thus far? Here, we presented a summary of the main applications of microarrays in the field of targeted therapies of cancer and discussed their potential in clinical implementation.
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