Suppr超能文献

利用定量蛋白质组学分析了解黑色素瘤中特定基因型的内在耐药性。

Using quantitative proteomic analysis to understand genotype specific intrinsic drug resistance in melanoma.

作者信息

Koomen John M, Smalley Keiran S M

机构信息

Program in Molecular Oncology, The Moffitt Cancer Center and Research Institute, Tampa, FL, USA.

出版信息

Oncotarget. 2011 Apr;2(4):329-35. doi: 10.18632/oncotarget.263.

Abstract

The discovery of activating BRAF V600E mutations in 50% of all melanoma patients and the development of small molecule BRAF inhibitors looks set to revolutionize the therapy of disseminated melanoma. However, in the recent clinical trial of the BRAF inhibitor, vemurafenib (PLX4032), a significant percentage of BRAF V600E mutant melanoma patients did not meet the RECIST criteria for a response. Recent work from our lab identified loss of the tumor suppressor phosphatase and tensin homolog (PTEN) as being a possible mediator of intrinsic BRAF inhibitor resistance. In this commentary, we describe the development of a novel mass spectrometry based proteomic screen of Bcl-2 family proteins that was used to delineate the PTEN-dependent differences in apoptosis signaling observed when BRAF was inhibited. We further discuss how use of these sensitive quantitative proteomic methods gives unique insights into the signaling of cancer cells that are not captured through routine biochemical techniques and how this may lead to the development of combination therapy strategies for overcoming intrinsic BRAF inhibitor resistance.

摘要

在所有黑色素瘤患者中,有50%发现了激活的BRAF V600E突变,小分子BRAF抑制剂的研发似乎将彻底改变转移性黑色素瘤的治疗方法。然而,在最近一项关于BRAF抑制剂维莫非尼(PLX4032)的临床试验中,相当比例的BRAF V600E突变黑色素瘤患者未达到RECIST反应标准。我们实验室最近的研究发现,肿瘤抑制因子磷酸酶和张力蛋白同源物(PTEN)的缺失可能是BRAF抑制剂内在抗性的一个介导因素。在这篇评论中,我们描述了一种基于质谱的新型Bcl-2家族蛋白质组学筛选方法的开发,该方法用于描绘在BRAF被抑制时观察到的PTEN依赖性凋亡信号差异。我们进一步讨论了如何利用这些灵敏的定量蛋白质组学方法,对癌细胞信号传导获得独特见解,而这些见解是常规生化技术无法捕捉到的,以及这如何可能导致开发克服BRAF抑制剂内在抗性的联合治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a98/3248164/ee6982e9836e/oncotarget-02-329-g001.jpg

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