Suppr超能文献

使用蛋白质生物标志物面板进行恶性黑色素瘤的肿瘤分析:组织微阵列及其应用。

Tumor profiling using protein biomarker panels in malignant melanoma: application of tissue microarrays and beyond.

机构信息

UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Belfield, Dublin 4, Ireland.

出版信息

Expert Rev Proteomics. 2012 Aug;9(4):415-23. doi: 10.1586/epr.12.5.

Abstract

Despite advances in our knowledge of the disease, malignant melanoma remains an unpredictable entity. The revolution in molecular biological techniques, such as DNA sequencing and gene-expression profiling, has uncovered many potential protein targets and biomarkers relevant to melanoma progression. Successful clinical application would be aided significantly by downstream proteomic validation of those candidate markers using a combination of immunohistochemistry and tissue microarrays. Yet, research in this context seems to lag behind the output of genomic data relating to melanoma. In this article, we look at the strengths and pitfalls of tissue microarrays in malignant melanoma. We will show how tissue microarrays have become a vital step in the transition from molecular techniques to useful clinical assays and interventions and look at likely future developments for advances in this field.

摘要

尽管我们对该疾病的认识有所进步,但恶性黑色素瘤仍然是一种不可预测的疾病。分子生物学技术的进步,如 DNA 测序和基因表达谱分析,揭示了许多与黑色素瘤进展相关的潜在蛋白靶点和生物标志物。如果能够结合免疫组织化学和组织微阵列技术对这些候选标志物进行下游蛋白质组验证,将极大地促进其在临床上的成功应用。然而,与黑色素瘤相关的基因组数据相比,这方面的研究似乎滞后了。在本文中,我们将探讨组织微阵列在恶性黑色素瘤中的优缺点。我们将展示组织微阵列如何成为从分子技术过渡到有用的临床检测和干预措施的重要一步,并探讨该领域未来可能的发展。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验