“组学”在黑色素瘤研究中的应用新视角。

Q3 Biochemistry, Genetics and Molecular Biology
Open Biochemistry Journal Pub Date : 2011-01-01 Epub Date: 2011-12-30 DOI:10.2174/1874091X01105010060
Carmen Rodríguez-Cerdeira, Alberto Molares-Vila
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引用次数: 5

摘要

背景:肿瘤蛋白质组学是利用蛋白质组学技术研究癌细胞中蛋白质及其相互作用的一门学科,它有可能彻底改变包括癌症诊断在内的临床实践。最近在人类基因组分析方面的技术进步为提高我们对癌症基因表达模式的原始理解打开了大门。对皮肤黑色素瘤的表型和遗传变化的检查已经确定了几个被认为对黑色素瘤的发展和进展至关重要的基因。方法:回顾文献,以确定表观遗传修饰在人类黑色素瘤中的作用。基于阵列的高通量基因表达分析在了解原发性和转移性黑色素瘤的特定基因、途径和比较基因表达模式中的作用。并对选择性药物的发展和临床应用进行了讨论。结果:我们确定了几篇广泛研究表观遗传学在黑色素瘤中的作用的文章,进一步阐明了涉及基因调控和表达的复杂过程。其他利用基因微阵列分析和其他全基因组方法的研究揭示了人类黑色素瘤中广泛的基因和表达模式。一些基因已被确定为肿瘤进展和整体临床结果的潜在预后标志物。结论:高通量基因表达分析在黑色素瘤研究中具有重要影响。几个基因表达平台提供了洞察黑色素瘤的基因表达模式。这些数据将为未来发展黑色素瘤患者的预后标志物和改进靶向治疗提供基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New Perspectives of "omics" Applications in Melanoma Research.

Background: Oncoproteomics is the study of proteins and their interactions in a cancer cell by proteomic technologies and has the potential to revolutionize clinical practice, including cancer diagnosis. Recent technological advances in the analysis of the human genome have opened the door to improving our primitive understanding of the gene expression patterns in cancer. The examination of the phenotypic and (epi) genetic changes in cutaneous melanoma has identified several genes deemed central to the development and progression of melanoma.

Methods: A review of the literature was performed to determine the role of epigenetic modifications in human melanoma. The role of array-based high-throughput gene expression analysis in understanding the specific genes involved as well as the pathways and the comparative gene expression patterns of primary and metastatic melanoma. The development and clinical application of selective pharmacologic agents are also discussed.

Results: We identified several articles that have extensively studied the role of epigenetics in melanoma, further elucidating the complex processes involved in gene regulation and expression. Other studies utilizing gene microarray analysis and other whole genome approaches reveal a wide array of genes and expression patterns in human melanoma. Several genes have been identified as potential prognostic markers of tumor progression and overall clinical outcome.

Conclusions: High-throughput gene expression analysis has had a major impact in melanoma research. Several gene expression platforms have provided insight into the gene expression patterns in melanoma. Such data will provide foundations for the future development of prognostic markers and improved targeted therapies for patients with melanoma.

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来源期刊
Open Biochemistry Journal
Open Biochemistry Journal Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
1.50
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