Mining novel biomarkers for prognosis of gastric cancer with serum proteomics.
Mining novel biomarkers for prognosis of gastric cancer with serum proteomics.
复制标题
利用血清蛋白质组学挖掘胃癌预后的新型生物标志物
DOI：
10.1186/1756-9966-28-126
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发表时间：
2009-09-09
期刊：
影响因子：
--
通讯作者：
Huang J
中科院分区：
文献类型：
--
作者：
Qiu FM;Yu JK;Chen YD;Jin QF;Sui MH;Huang J
背景虽然胃癌(GC)仍然是癌症相关死亡的第二大原因，但仍然没有有用的生物标志物来预测预后。方法采用Q10芯片，采用表面增强激光解吸电离飞行时间质谱仪(SELDI-TOF-MS)连续检测43例胃癌患者和41例对照组胃炎患者(第1组)和11例GC患者(第2组)的血清。用Ciphergen蛋白质芯片软件3.2.0获取峰，浙江大学蛋白质芯片数据分析系统(ZJU-PDAS)分析。结果中位随访期33个月后，将失访的4例胃癌患者分为预后良好(总生存期>24个月)20例和预后不良(<24个月)19例。建立的预后模式包括5个新的预后标志物，其敏感性和特异性分别为84.2%和85.0%，显著高于癌胚抗原(CEA)和TNM分期。我们还对第二组的预后模式进行了盲法检验，其敏感性为66.7%，特异性为80.0%。此外，我们还发现4474-Da峰在胃癌中显著升高，并与晚期(III+IV)和短生存期(p<；0.03)相关。结论SELDI-TOF-MS结合先进的生物信息学，已发现一些新的预测胃癌预后的生物标志物。尤其是4474-Da峰的高表达，很有希望发展成为与GC生物学侵袭性特征相关的新的生物标志物。
BackgroundAlthough gastric caner (GC) remains the second cause of cancer-related death, useful biomarkers for prognosis are still unavailable. We present here the attempt of mining novel biomarkers for GC prognosis by using serum proteomics.MethodsSera from 43 GC patients and 41 controls with gastritis as Group 1 and 11 GC patients as Group 2 was successively detected by Surface Enhanced Laser Desorption/ionization Time of Flight Mass Spectrometry (SELDI-TOF-MS) with Q10 chip. Peaks were acquired by Ciphergen ProteinChip Software 3.2.0 and analyzed by Zhejiang University-ProteinChip Data Analysis System (ZJU-PDAS). CEA level were evaluated by chemiluminescence immunoassay.ResultsAfter median follow-up periods of 33 months, Group 1 with 4 GC patients lost was divided into 20 good-prognosis GC patients (overall survival more than 24 months) and 19 poor-prognosis GC patients (no more than 24 months). The established prognosis pattern consisted of 5 novel prognosis biomarkers with 84.2% sensitivity and 85.0% specificity, which were significantly higher than those of carcinoembryonic antigen (CEA) and TNM stage. We also tested prognosis pattern blindly in Group 2 with 66.7% sensitivity and 80.0% specificity. Moreover, we found that 4474-Da peak elevated significantly in GC and was associated with advanced stage (III+IV) and short survival (p< 0.03).ConclusionWe have identified a number of novel biomarkers for prognosis prediction of GC by using SELDI-TOF-MS combined with sophisticated bioinformatics. Particularly, elevated expression of 4474-Da peak showed very promising to be developed into a novel biomarker associated with biologically aggressive features of GC.
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影响因子：
8.8
作者：
Klein Kranenbarg E;Hermans J;van Krieken JH;van de Velde CJ
通讯作者：
van de Velde CJ
影响因子：
2
作者：
Aloe, S;D'Alessandro, R;Guadagni, F
通讯作者：
Guadagni, F
影响因子：
254.7
作者：
Parkin, DM;Bray, F;Pisani, P
通讯作者：
Pisani, P
DOI：
10.1007/pl00011715
发表时间：
2000-12-01
期刊：
Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association
影响因子：
--
作者：
Kochi, Mitsugu;Fujii, Masashi;Yamagata, Motoo
通讯作者：
Yamagata, Motoo
影响因子：
4.4
作者：
Ebert, MPA;Meuer, J;Röcken, C
通讯作者：
Röcken, C