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涉及鼻咽癌肝脏器官特异性转移相关蛋白的比较血清蛋白质组学分析

Comparative serum proteomic analysis involving liver organ-specific metastasis-associated proteins of nasopharyngeal carcinoma.

作者信息

Pan Changchuan, Tao Yalan, Zhao Ming, Li Wang, Huang Zilin, Gao Jing, Wu Yanhen, Yu Jingrui, Wu Peihong, Xia Yunfei, Lu Jin

机构信息

Departments of Medical Imaging and Interventional Radiology and.

出版信息

Exp Ther Med. 2012 Jun;3(6):1055-1061. doi: 10.3892/etm.2012.526. Epub 2012 Mar 23.

DOI:10.3892/etm.2012.526
PMID:22970016
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3438645/
Abstract

Metastasis is the main cause of cancer-related mortality; patients with liver metastases (LM) have the worst prognosis among patients with nasopharyngeal carcinoma (NPC). However, at present, few biomarkers for detecting organ-specific metastasis have been identified. Proteomics, an ultra-sensitive analytical technique, can detect molecular changes before organ-specific metastasis occurs. Analysis with matrix-assisted, laser desorption-ionization time-of-flight mass spectrometry (MALDI-TOF-MS), combined with magnetic chemical affinity beads is a new technique for evaluating protein separation. We sought to identify potential liver-specific, metastasis-associated proteomic printing in patients with NPC. We examined 64 serum samples from 50 patients who had pathologically confirmed NPC and 14 who had pathologically confirmed non-NPC with LM using MALDI-TOF-MS with weak cation bead protein chips. During follow-up of at least 37 months (maximum, 176 months) following radiotherapy, we confirmed 16 cases of LM (LM NPC), 16 cases without LM (non-LM NPC) and 18 cases without metastasis (non-M NPC). Using comparison analysis, 4 protein mass peaks, 4155.34, 4194.87, 4210.78 and 4249.56 m/z were identified as liver-specific, metastasis-associated protein peaks in NPC and two of them (4155 and 4249 m/z) met two different statistical criteria in both ClinProt software analyses and discriminant analyses. Models based on the 4 potential serum markers of NPC discriminated between LM NPC, non-LM NPC, non-M NPC and non-NPC LM analyzed with sieved markers. The recognition capability and cross-validation of these models for differentiating the above 4 groups are all approximately 80%. MALDI-TOF-MS combined with tree analysis models may provide a clinical diagnostic platform for detecting potential liver-specific, metastasis-associated proteomic printing in NPC. However, markedly differential proteins still need to be identified.

摘要

转移是癌症相关死亡的主要原因;肝转移(LM)患者在鼻咽癌(NPC)患者中预后最差。然而,目前很少有用于检测器官特异性转移的生物标志物被鉴定出来。蛋白质组学是一种超灵敏的分析技术,能够在器官特异性转移发生之前检测到分子变化。基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-MS)结合磁性化学亲和珠的分析是一种评估蛋白质分离的新技术。我们试图在NPC患者中鉴定潜在的肝脏特异性、转移相关蛋白质组印记。我们使用带有弱阳离子珠蛋白芯片的MALDI-TOF-MS检测了50例经病理证实为NPC的患者和14例经病理证实为非NPC伴LM的患者的64份血清样本。在放疗后至少37个月(最长176个月)的随访期间,我们确认了16例LM(LM NPC)、16例无LM(非LM NPC)和18例无转移(非M NPC)。通过比较分析,4个蛋白质质量峰,即4155.34、4194.87、4210.78和4249.56 m/z被鉴定为NPC中肝脏特异性、转移相关蛋白质峰,其中两个(4155和4249 m/z)在ClinProt软件分析和判别分析中均符合两种不同的统计标准。基于NPC的4种潜在血清标志物的模型能够区分经筛选标志物分析的LM NPC、非LM NPC、非M NPC和非NPC LM。这些模型区分上述4组的识别能力和交叉验证率均约为80%。MALDI-TOF-MS结合树分析模型可能为检测NPC中潜在的肝脏特异性、转移相关蛋白质组印记提供一个临床诊断平台。然而,仍需要鉴定出明显不同的蛋白质。

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本文引用的文献

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