Proteomic Characterization of Plasma Cells from Patients with Multiple Myeloma

A. Suvannasankha, C. Crean, Heather M Leyes, S. Wongsaengsak, Guihong Qi, Jong Won Kim, Mu Wang
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引用次数: 1

Abstract

Introduction: Quantitative proteomics approaches have provided insight into biomarkers of cancer and other diseases with high sensitivity, high specificity, and high analytical precision. Multiple Myeloma is an incurable, fatal blood cancers characterized by clonal expansion of plasma cells in the bone marrow. Current multiple myeloma proteomic research mainly focuses on serum biomarkers, not plasma cells, due to technical difficulties including a requirement for tumor cell isolation from bone marrow aspirates, tumor cell paucity and poor in vitro survival after isolation.Materials and methods: A global proteomic analysis was performed using sorted bone marrow plasma cells from normal donors and multiple myeloma patients and a large-scale quantitative mass spectrometry platform. A selected panel of up- and down-regulated proteins were validated by multiple-reaction-monitoring.Results: We identified a panel of 18 up- and down-regulated potential biomarkers of multiple myeloma, which can be further clinically validated for their potential use as disease-specific biomarkers or signature molecules for monitoring disease progression.Conclusion: The study demonstrates a good example of using proteomics as a tool for the development of clinical biomarkers for diagnosis, prognosis, and drug target discovery.
多发性骨髓瘤患者浆细胞的蛋白质组学特征
定量蛋白质组学方法具有高灵敏度、高特异性和高分析精度,为深入了解癌症和其他疾病的生物标志物提供了途径。多发性骨髓瘤是一种无法治愈的、致命的血癌,其特征是骨髓中浆细胞的克隆扩增。目前的多发性骨髓瘤蛋白质组学研究主要集中在血清生物标志物,而不是浆细胞,这是因为技术上的困难,包括需要从骨髓中分离肿瘤细胞,肿瘤细胞稀少,分离后体外存活率差。材料和方法:使用正常供体和多发性骨髓瘤患者的骨髓浆细胞和大规模定量质谱分析平台进行全球蛋白质组学分析。选择一组上调和下调的蛋白通过多重反应监测进行验证。结果:我们确定了一组18个上调和下调的多发性骨髓瘤潜在生物标志物,可以进一步临床验证它们作为疾病特异性生物标志物或监测疾病进展的特征分子的潜在用途。结论:该研究展示了将蛋白质组学作为开发用于诊断、预后和药物靶点发现的临床生物标志物的工具的一个很好的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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