title: Serum discrimination of early-stage lung cancer patients using electrospray-ionization mass spectrometry.
abstract: The goal of this study was to evaluate the usefulness of electrospray ionization-mass spectrometry (ESI-MS) technology to distinguish sera of early-stage lung cancer patients from control individuals. ESI-MS m/z (mass divided by charge) data were generated from sera of 43 non-small cell lung cancer patients (pathological stages I and II) and 21 control individuals. Identifications of m/z peak area significances between cancer and control ESI-MS sera spectra were performed using t-tests. A "leave one out" cross validation procedure, which mimics blinded sera analysis and corrects for "over-fitting" of data, yielded discriminatory cancer versus control distribution p value and ROC curve area value of <0.001 and 0.87, respectively. Analysis without the "leave one out" cross validation procedure yielded a ROC curve area of 0.99 for discrimination of sera from lung cancer patients versus control individuals. Predictive value measurements revealed overall test efficiency and sensitivity for distinguishing sera from lung cancer patients from controls (using "leave one out" cross validation) of 80% and 84%, respectively. ESI-MS serum analysis between control individuals and lung cancer patients who smoked or did not smoke had p values in ranges indicating that smoking effects are not pronounced in our analysis. These studies indicate that ESI-MS analyses of sera from early stage non-small cell lung cancer patients were helpful in distinguishing these patients from control individuals.
authors.affiliation: Department of Biochemistry & Molecular Biology, University of Oklahoma Health Science Center, Oklahoma City, OK 73104, USA.
authors.forename: James R
authors.initials: JR
authors.lastname: Hocker
authors.forename: Marvin D
authors.initials: MD
authors.lastname: Peyton
authors.forename: Megan R
authors.initials: MR
authors.lastname: Lerner
authors.forename: Stephanie L
authors.initials: SL
authors.lastname: Mitchell
authors.forename: Stan A
authors.initials: SA
authors.lastname: Lightfoot
authors.forename: Theresa J
authors.initials: TJ
authors.lastname: Lander
authors.forename: Leah M
authors.initials: LM
authors.lastname: Bates-Albers
authors.forename: Nicole T
authors.initials: NT
authors.lastname: Vu
authors.forename: Rushie J
authors.initials: RJ
authors.lastname: Hanas
authors.forename: Thomas C
authors.initials: TC
authors.lastname: Kupiec
authors.forename: Daniel J
authors.initials: DJ
authors.lastname: Brackett
authors.forename: Jay S
authors.initials: JS
authors.lastname: Hanas
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000097:blood; D002289:Carcinoma, Non-Small-Cell Lung / Q000175:diagnosis* / Q000473:pathology / Q000503:physiopathology; D003937:Diagnosis, Differential; D055088:Early Detection of Cancer; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000175:diagnosis* / Q000473:pathology / Q000503:physiopathology; D008297:Male; D008875:Middle Aged; D009367:Neoplasm Staging; D011237:Predictive Value of Tests; D012372:ROC Curve; D012680:Sensitivity and Specificity; D021241:Spectrometry, Mass, Electrospray Ionization
chemical_list: D014408:Biomarkers, Tumor