晚期肺腺癌危重患者预警蛋白质指纹由阴性向阳性漂移的分析

Analysis of lost goodwill target proteomic fingerprints drifting from negative to positive in advanced lung adenocarcinoma patients

目的分析晚期肺腺癌危重患者预警蛋白质（LGT）指纹由阴性向阳性漂移时是否出现有意义的差异指纹。方法应用表面增强激光解析／电离-飞行时间质谱（SELDI—TOF—MS）、CMIO蛋白质芯片技术检测31例晚期肺腺癌患者LGT指纹由阴性向阳性漂移前后的血清样本的蛋白质指纹谱，以质／荷（M／Z）为11000～12000＋H时出现丰度〉10％峰簇视为LGT阳性，反之为阴性。采用Biomarker Wizard3．1、BiomarkerPattern软件筛选差异指纹，建立相应的决策树模型。结果晚期肺腺癌患者LGT指纹由阴性向阳性漂移时，有16个蛋白质指纹差异有统计学意义（P〈0．05），其中上调指纹10个，其M／Z：11531、11483、11686、11394、11822、11323、11911、12450、5811和5709，下调指纹6个，其M／Z：4126、13927、13784、7001、1959和2741。结论SELDI—TOF—MS、CMl0蛋白质芯片技术检测晚期肺腺癌患者血清捕获的M／z为11531、11483、11686、11394、11822、11323的蛋白质指纹上调可视为晚期肺腺癌患者LGT指纹由阴性向阳性漂移时LGT蛋白质指纹亚型（丰度〉10％）；M／Z为11911、12450、5811和5709的蛋白质指纹上调，M／Z为4126、13927、13784、7001、1959和2741的蛋白质指纹下调，可视为晚期肺腺癌患者LGT指纹由阴性向阳性漂移时伴随的相关蛋白质组指纹（丰度≤10％）。上述模型构成LGT蛋白质指纹由阴性向阳性漂移时的指纹库，将为进一步研究该指纹表达的蛋白质提供研究的切入点。

Objective To analyze the serum related proteomic fingerprints when Lost Goodwill Target （LGT） proteomic fingerprints drifting from negative to positive in the advanced lung adenocarcinoma patients. Methods The serum proteomic fingerprints of 31 advanced lung adenocarcinoma patients whose LGT fingerprints drifted from negative to positive were detected by SELDI and CM10 protein chip. More than 10 % cluster and M/Z values from 11,000＋H to 12,000＋H was regarded as LGT positive, otherwise as negative. Different fingerprints were screened by Biomarker Wizard 3.1 and Biomarker Wizard software and the decision tree model was established. Results There were 16 statistically different protein peaks when LGT fingerprints drifting from negative to positive, including 10 up-regulation proteomic fingerprints （M/Z ： 11531, 11483, 11686, 11394, 11822, 11323, 11911, 12450, 5811 and 5709） and 6 down regulation proteomic fingerprints（ M/Z： 4126, 13927, 13784, 7001, 1959 and 2741）. Conclusion By SELDI and CM10 protein chip detection, up-regulating fingerprints of M/Z 11531, 11483, 11686, 11394, 11822 and 11323 were regarded as the subtype of LGT when it drifting from negative to positive, while up-regulation of M/Z 1191 l, 12450, 5811 and 5709 and down-regulating of M/Z 4126, 13927, 13784, 7001 and 1959 were regarded as the related fingerprints when LGT drifting from negative to positive. The above different fingerprints are constituted of the fingerprints library when LGT fingerprints drifting from negative to positive and it will provide a platform for studying the LGT proteins.