BACKGROUND: Untargeted metabolomics was used in case-control studies of @entity420 ( @entity420 ) @entity2 to develop and test metabolite classifiers in serum and plasma as potential biomarkers for diagnosing @entity2 . METHODS: Serum and plasma were collected and used in two independent case-control studies (ADC1 and ADC2). Controls were frequency matched for gender, age, and smoking history. There were 52 @entity420 cases and 31 controls in ADC1 and 43 @entity420 cases and 43 controls in ADC2. Metabolomics was conducted using gas chromatography time-of-flight mass spectrometry. Differential analysis was performed on ADC1 and the top candidates (FDR < 0.05) for serum and plasma used to develop individual and multiplex classifiers that were then tested on an independent set of serum and plasma samples (ADC2). RESULTS: @entity5906 provided the best accuracy (81.4%) for an individual metabolite classifier in serum, whereas @entity9955 had the best accuracy (77.9%) in plasma when independently tested. Multiplex classifiers of either 2 or 4 serum metabolites had an accuracy of 72.7% when independently tested. For plasma, a multimetabolite classifier consisting of 8 metabolites gave an accuracy of 77.3% when independently tested. Comparison of overall diagnostic performance between the two blood matrices yielded similar performances. However, serum is most ideal given higher sensitivity for low-abundant metabolites. CONCLUSION: This study shows the potential of metabolite-based diagnostic tests for @entity2220 . Further validation in a larger pool of samples is warranted. IMPACT: These biomarkers could improve early detection and diagnosis of @entity2 . Cancer Epidemiol Biomarkers Prev; 24(11); 1-8.   2015 AACR.

Investigation of Metabolomic Blood Biomarkers for Detection of XXXX .

@entity5906 :: ('D001224', 'Chemical') :: ['Aspartate'] @entity2 :: ('MESH:D008175', 'Disease') :: ['lung cancer'] @entity9955 :: ('MESH:C107241', 'Chemical') :: ['pyrophosphate'] @entity420 :: ('MESH:D000230', 'Disease') :: ['ADC', 'adenocarcinoma'] @entity2220 :: ('MESH:C538231', 'Disease') :: ['detection of lung adenocarcinoma']
@entity2 :: (MESH:D008175,Disease) :: ['Adenocarcinoma Lung Cancer']
