Detection of Elevated Proteins in Peritoneal Dissemination of Gastric Cancer by Analyzing Mass Spectra Data of Serum Proteins
Detection of Elevated Proteins in Peritoneal Dissemination of Gastric Cancer by Analyzing Mass Spectra Data of Serum Proteins
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DOI：
10.1016/j.jss.2008.07.024
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发表时间：
2009-07-01
影响因子：
2.2
通讯作者：
Kojima, Hiroshi
中科院分区：
文献类型：
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作者：
Kojima, Taiki;Yoshikawa, Kazuhiro;Kojima, Hiroshi
背景最近，一些作者报道了蛋白质芯片方法来分析血清。他们使用SELDI-TOF-MS（表面增强激光解吸/电离飞行时间质谱）以高度敏感和特异的方式识别各种来源的癌症患者。在本研究中，采用类似的方法分析不同阶段胃癌患者的血清。收集来自胃炎患者（n = 19）和胃癌患者（I期：n = 6，II期或III期：n = 6，IV期：n = 6，总共：n = 18）的对照血清样本，并通过蛋白质芯片生物标志物系统（Bio-Rad，日本）（SELDI-TOF-MS的平台）进行分析，获得并比较蛋白质谱。采用阳离子交换芯片（CM 10）和阴离子交换芯片（Q10）进行样品前处理。与胃炎患者相比，胃癌患者中有9种蛋白质显著过表达（P < 0.05，Student t检验）。其中，发现2929 m/z、3293 m/z、3371 m/z和4213 m/z的四种蛋白质质量仅在患有腹膜播散的患者中差异表达。在CM 10芯片上处理所有峰。采用CART（classification and regression trees）数据挖掘方法，成功地将有腹膜转移的胃癌患者与无腹膜转移的胃癌患者区分开来。必须进行大量样本的验证研究;然而，此处检测到的峰可能是腹膜播散和/或胃癌生物标志物的候选峰。此外，进一步分析这四种蛋白质可能有助于揭示腹膜播散的机制，目前还没有治愈。(C)2009爱思唯尔公司All rights reserved.
Background. Recently, several authors reported on the Protein Chip approach to analyze serum. They used SELDI-TOF-MS (surface enhanced laser desorption/ionization-time of flight-mass spectrometry) to identify patients with cancers of various origins in a highly sensitive and specific manner. In the current study, a similar approach was employed to analyze the serum of patients with various stages of gastric cancer.Methods. Control serum specimens from patients with gastritis (n = 19) and those with gastric cancer (Stage I: n = 6, Stage II or III: n = 6, Stage IV: n = 6, total: n = 18) were collected and analyzed by the Protein Chip biomarker system (Bio-Rad, Japan), a platform for SELDI-TOF-MS, and protein profiles were obtained and compared. The cation exchange chip (CM10) and the anion exchange chip (Q10) were used for processing before TOF-MS.Results. nine proteins were significantly over-expressed (P < 0.05, Student t-test) in patients with gastric cancer compared to patients with gastritis. Among them, four protein masses with 2929 m/z, 3293 m/z, 3371 m/z, and 4213 m/z were found to be differentially expressed solely in patients suffering from peritoneal dissemination. All peaks were processed on CM10 chips. Employing one data mining method, CART (classification and regression trees), gastric cancer patients with peritoneal dissemination were successfully separated from those who had no peritoneal seeding.Conclusion. A validation study with a larger number of samples is mandatory; however, the detected peaks here might be candidates for biomarkers of peritoneal dissemination and/or gastric cancer. Moreover, further analysis of these four proteins might be helpful in revealing the mechanism of peritoneal dissemination, which at present has no cure. (C) 2009 Elsevier Inc. All rights reserved.