Background and Objective:Lung adenocarcinoma is,at present,the most common malignancy in the world and its overall 5-year survival rate is disappointing.Because most of the patients are diagnosed at advanced stage,early diagnosis may improve the prognosis of patients with lung adenocarcinoma.Surface-Enhanced Laser Desorption and Ionization Mass Spectrometry(SELDI) is one of the currently used techniques to identify biomarkers for cancers.This study explored the application of serum SELDI proteomic patterns to distinguish lung adenocarcinoma patients from healthy individuals.Methods:Serum samples from 71 lung adenocarcinoma patients,71 healthy volunteers with matched gender,age and history of smoking were analyzed using WCX2 ProteinChip to select potential biomarkers.Proteomic spectra were generated by mass spectrometry.Results:Five highly expressed potential biomarkers were identified with the relative molecular weights of 4047.79?1.60,4203.99?1.91,4959.81?2.13,5329.30?2.55 and 7760.12?4.11.The sensitivity for diagnosing lung adenocarcinoma was 90.14%,78.87%,50.70%,57.75%,73.24%;and specificity was 97.18%,92.96%,70.42%,76.06%,94.37%,when the critical point was made 1.5.Conclusions:SELDI-TOF-MS ProteinChip technology is a quick,easy,convenient,and highoutput analyzing method that it is capable of selecting several relatively specific,potential biomarkers from the serum of lung adenocarcinoma patients and may have clinic value.

OBJECTIVETo study the relationship between glutathione S transferase M1(GST mu) gene deletion and leukemia in workers exposed to benzene.

METHODSA matched population-based case-control survey with multivariate Logistic regression analysis was conducted in this study.

RESULTSIn the population of 34 patients and their matched controls, the absence of the GST mu genotype conferred odds ratio of 3.6. It suggested that GST mu was an important determinant of heterogeneity in individual susceptibility to leukemia associated with exposure to benzene. The single-variance analysis indicated that these markedly significant factors were GST mu gene deletion, GST mu isoenzyme activity, duration of exposure, GST isoenzyme activity, smoking quantity and average concentration of benzene in workshop air. The multivariate analysis indicated that these markedly significant factors were GST mu gene deletion, duration of exposure to benzene and GST mu isoenzyme activity.

CONCLUSIONGST mu gene deletion may be associated with increased risk of leukemia in workers exposed to benzene and is one of genetically determined factors.

Benzene ; toxicity ; Case-Control Studies ; Gene Deletion ; Glutathione Transferase ; genetics ; Humans ; Leukemia ; enzymology ; etiology ; genetics ; Logistic Models ; Multivariate Analysis ; Occupational Exposure ; adverse effects