骨髓CD138+细胞的蛋白质组学分析鉴定与多发性骨髓瘤患者对常用治疗方案的反应相关的蛋白质

IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2025-08-07 DOI:10.1002/pmic.70025
Foteini Paradeisi, Aggeliki Tserga, Vasiliki Lygirou, Manousos Makridakis, Rafael Stroggilos, Grigoris Georgiou, George M. Spyrou, Ioannis V. Kostopoulos, Christine-Ivy Liacos, Aikaterini Termentzi, Meletios A. Dimopoulos, Ourania Tsitsilonis, Antonia Vlahou, Efstathios Kastritis, Jerome Zoidakis
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引用次数: 0

摘要

多发性骨髓瘤(MM)仍然无法治愈;我们对MM分子发病机制和药物耐药机制的理解存在空白,这与治疗失败有关。本研究旨在鉴定显著影响MM患者对常用治疗方案反应的蛋白。骨髓CD138+选择浆细胞从对其原发性MM治疗有反应(Responders, R)和无反应(NR)的患者中分离出来。我们使用LC-MS/MS对MM样品进行蛋白质组学分析,然后进行生物信息学分析。我们发现了1190个蛋白,其中230个在R和NR之间有统计学差异,与NR相比,R中有27个蛋白上调,203个蛋白下调。途径富集分析发现了与免疫反应和蛋白质合成调节相关的通路,与MM的进展和治疗反应密切相关。通过个体RNA数据集分析验证了结果,证实了几种蛋白质的差异表达,包括与MM相关的蛋白质(如MIF, ILF3)以及新发现(如DCPS和SET)。总的来说,从R和NR治疗MM获得的蛋白质组学数据显示,免疫系统和蛋白质合成调节发生了显著变化,支持它们在MM的进展和治疗反应中的潜在作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Proteomic Analysis of Bone Marrow CD138+ Cells to Identify Proteins Associated With the Response of Multiple Myeloma Patients to Commonly Used Therapeutic Regimens

Proteomic Analysis of Bone Marrow CD138+ Cells to Identify Proteins Associated With the Response of Multiple Myeloma Patients to Commonly Used Therapeutic Regimens

Proteomic Analysis of Bone Marrow CD138+ Cells to Identify Proteins Associated With the Response of Multiple Myeloma Patients to Commonly Used Therapeutic Regimens

Proteomic Analysis of Bone Marrow CD138+ Cells to Identify Proteins Associated With the Response of Multiple Myeloma Patients to Commonly Used Therapeutic Regimens

Proteomic Analysis of Bone Marrow CD138+ Cells to Identify Proteins Associated With the Response of Multiple Myeloma Patients to Commonly Used Therapeutic Regimens

Multiple myeloma (MM) remains incurable; gaps in our understanding of MM molecular pathogenesis and drugs’ resistance mechanisms are involved in the failure of therapies. This study aims to identify proteins significantly impacting MM patients’ response to commonly used therapeutic regimens. Bone marrow CD138+ selected plasma cells were isolated from patients who had achieved Response (Responders, R) and those who were Non-Responders (NR) to their primary MM therapy. We used LC-MS/MS to investigate the proteomic profile of MM samples, followed by bioinformatics analysis. We identified 1190 proteins, of which 230 showed a statistically significant difference between R and NR, with 27 proteins being upregulated and 203 downregulated in R compared to NR. Pathway enrichment analysis identified pathways related to the immune response and protein synthesis regulation, closely associated with MM progression and response to therapy. The results were validated through individual RNA dataset analysis, corroborating the differential expression of several proteins, including proteins associated with MM (e.g., MIF, ILF3) as well as novel findings (e.g., DCPS and SET). Collectively, proteomics data obtained from R and NR to MM therapy displayed significant changes in the immune system and protein synthesis regulation, supporting their potential role in progression and therapeutic response of MM.

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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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