Analysis of lost goodwill target proteomic fingerprints drifting from negative to positive in advanced lung adenocarcinoma patients / 肿瘤研究与临床

ABSTRACT

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/Z11531, 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 11911,12450, 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.