Mitsiades Constantine S, Mitsiades Nicholas, Treon Steven P, Anderson Kenneth C
Jerome Lipper Multiple Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115, USA.
Semin Oncol. 2003 Apr;30(2):156-60. doi: 10.1053/sonc.2003.50066.
The proteomic analysis of tumor cells emerges as a key complement to gene expression profiling, primarily because regulation of protein expression (at the translational and post-translational levels) can buffer the magnitude of changes occurring at the gene transcription level, in order to fine tune cellular functions. Herein we describe the concept of proteomic analysis of the signaling state of tumor cells, as well as its application in the study of signaling pathways in plasma cell dyscrasias, such as Waldenstrom's macroglobulinemia (WM) and multiple myeloma (MM). Comparative studies of WM versus MM cells at baseline and in the setting of drug treatment reveals proteomic profiles of the signaling state with significant overlap (that could reflect a putative B-cell lineage-related proteomic signature), but also distinct differences, possibly associated with differential features in the biologic behavior and drug sensitivity of these diseases. These proteomic studies pave the way for a more comprehensive insight into the molecular basis of WM versus other B-cell malignancies.
肿瘤细胞的蛋白质组学分析已成为基因表达谱分析的关键补充,主要是因为蛋白质表达的调控(在翻译和翻译后水平)可以缓冲基因转录水平发生的变化幅度,从而微调细胞功能。在此,我们描述肿瘤细胞信号状态蛋白质组学分析的概念,及其在浆细胞异常增殖性疾病(如华氏巨球蛋白血症(WM)和多发性骨髓瘤(MM))信号通路研究中的应用。对WM和MM细胞在基线和药物治疗情况下的比较研究揭示了信号状态的蛋白质组学图谱有显著重叠(这可能反映了一种假定的B细胞谱系相关蛋白质组特征),但也有明显差异,这可能与这些疾病生物学行为和药物敏感性的不同特征有关。这些蛋白质组学研究为更全面地了解WM与其他B细胞恶性肿瘤的分子基础铺平了道路。