Summary of Study ST000392
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000306. The data can be accessed directly via it's Project DOI: 10.21228/M8T60D This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST000392 |
| Study Title | Systemic Metabolomic Changes in Blood Samples of Lung Cancer Patients Identified by Gas Chromatography Time-of-Flight Mass Spectrometry |
| Study Summary | Lung cancer is a leading cause of cancer deaths worldwide. Metabolic alterations in tumor cells coupled with systemic indicators of the host response to tumor development have the potential to yield blood profiles with clinical utility for diagnosis and monitoring of treatment. We report results from two separate studies using gas chromatography time-of-flight mass spectrometry (GC-TOF MS) to profile metabolites in human blood samples that significantly differ from non-small cell lung cancer (NSCLC) adenocarcinoma and other lung cancer cases. Metabolomic analysis of blood samples from the two studies yielded a total of 437 metabolites, of which 148 were identified as known compounds and 289 identified as unknown compounds. Differential analysis identified 15 known metabolites in one study and 18 in a second study that were statistically different (p-values <0.05). Levels of maltose, palmitic acid, glycerol, ethanolamine, glutamic acid, and lactic acid were increased in cancer samples while amino acids tryptophan, lysine and histidine decreased. Many of the metabolites were found to be significantly different in both studies, suggesting that metabolomics appears to be robust enough to find systemic changes from lung cancer, thus showing the potential of this type of analysis for lung cancer detection. |
| Institute | University of California, Davis |
| Department | Genome and Biomedical Sciences Facility |
| Laboratory | WCMC Metabolomics Core |
| Last Name | Fiehn |
| First Name | Oliver |
| Address | 1315 Genome and Biomedical Sciences Facility, 451 Health Sciences Drive, Davis, CA 95616 |
| ofiehn@ucdavis.edu | |
| Phone | (530) 754-8258 |
| Submit Date | 2016-05-09 |
| Total Subjects | 82 |
| Num Males | 20 |
| Num Females | 62 |
| Study Comments | SS = Sigma sample and is used as a quality control |
| Publications | doi: 10.3390/metabo5020192 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | peg |
| Analysis Type Detail | GC-MS |
| Release Date | 2016-06-18 |
| Release Version | 2 |
| Release Comments | Updated study design factors |
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Sample Preparation:
| Sampleprep ID: | SP000420 |
| Sampleprep Summary: | 1. Switch on bath to pre-cool at –20°C (±2°C validity temperature range) 2. Gently rotate or aspirate the blood samples for about 10s to obtain a homogenised sample. 3. Aliquot 30μl of plasma sample to a 1.0 mL extraction solution. The extraction solution has to be prechilled using the ThermoElectron Neslab RTE 740 cooling bath set to -20°C. 4. Vortex the sample for about 10s and shake for 5 min at 4°C using the Orbital Mixing Chilling/Heating Plate. If you are using more than one sample, keep the rest of the sample on ice (chilled at <0°C with sodium chloride). 5. Centrifuge samples for 2min at 14000 rcf using the centrifuge Eppendorf 5415 D. 6. Aliquot two 450μL portions of the supernatant. One for analysis and one for a backup sample. Store the backup aliquot in -20°C freezer. 7. Evaporate one 450μL aliquots of the sample in the Labconco Centrivap cold trap concentrator to complete dryness. 8. The dried aliquot is then re-suspended with 450 μL 50% acetonitrile (degassed as given above). 9. Centrifuged for 2 min at 14000 rcf using the centrifuge Eppendorf 5415. 10. Remove supernatant to a new Eppendorf tube. 11. Evaporate the supernatant to dryness in the Labconco Centrivap cold trap concentrator. 12. Submit to derivatization. |
| Sampleprep Protocol Filename: | SOP_blood-GCTOF-11082012.pdf |
