title: Detection of lung cancer using plasma protein profiling by matrix-assisted laser desorption/ionization mass spectrometry.
abstract: There are no satisfactory plasma biomarkers which are available for the early detection and monitoring of lung cancer, one of the most frequent cancers worldwide. The aim of this study is to explore the application of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-ToF MS) to plasma proteomic patterns to distinguish lung cancer patients from healthy individuals. The EDTA plasma samples have been pre-fractionated using magnetic bead kits functionalized with weak cation exchange coatings. We compiled MS protein profiles for 90 patients with squamous cell carcinomas (SCC) and compared them with profiles from 187 healthy controls. The MALDI-ToF spectra were analyzed statistically using ClinProTools bioinformatics software. Depending on the sample used, up to 441 peaks/spectrum could be detected in a mass range of 1000-20,000 Da; 33 of these proteins had statistically differential expression levels between SCC and control plasma (P < 0.001). The series of the peaks were automatically chosen as potential biomarker patterns in the training set. They allowed the discrimination of plasma samples from healthy control and samples from SCC patients (sensitivity and specificity >90%) in external validation test. These results suggest that plasma MALDI-ToF MS protein profiling can distinguish patients with SCC and also from healthy individuals with relatively high sensitivity and specificity and that MALDI- ToF MS is a potential tool for the screening of lung cancer.
authors.affiliation: N.N. Blokhin Russian Cancer Research Center, 24 Kashirskoye sh., Moscow 115478, Russia. vshev@nm.ru
authors.forename: Valeriy E
authors.initials: VE
authors.lastname: Shevchenko
authors.forename: Natalia E
authors.initials: NE
authors.lastname: Arnotskaya
authors.forename: David G
authors.initials: DG
authors.lastname: Zaridze
mesh_terms: D000368:Aged; D014408:Biomarkers, Tumor / Q000097:blood; D001798:Blood Proteins / Q000032:analysis*; D002294:Carcinoma, Squamous Cell / Q000097:blood / Q000175:diagnosis*; D006801:Humans; D008175:Lung Neoplasms / Q000097:blood / Q000175:diagnosis*; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D040901:Proteomics / Q000379:methods*; D012372:ROC Curve; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*
chemical_list: D014408:Biomarkers, Tumor; D001798:Blood Proteins