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Citation Information
Metabolomics. 2016;12:58. doi: 10.1007/s11306-016-0961-5. Epub 2016 Feb 27.
Temporal characterization of serum metabolite signatures in lung cancer patients undergoing treatment.
Hao D#, Sarfaraz MO#,, Farshidfar F, Bebb DG, Lee CY, Card CM, David M, Weljie AM,,.
Analytical methods | |||
|---|---|---|---|
| Comparative study | #1 | #2 | |
| Chromatography | GC | – | |
| Ion source | – | – | |
| Positive/Negative mode | – | – | |
| Mass analyzer | TOF | NMR | |
| Identification level | – | – | |
Sample information | |||
|---|---|---|---|
| Comparative study | #1 | #2 | |
| Country | Canada | Canada | |
| Specimen | serum | serum | |
| Marker function | diagnosis | diagnosis | |
| Participants(Case) | Cancer type | lung cancer | lung cancer |
| Stage | I, II, III, IV | I, II, III, IV | |
| Number | 25 | 25 | |
| Gender (M,F) | 15, 10 | 15, 10 | |
| Mean age (range) (M,F) | 64 (42-77) | 64 (42-77) | |
| Smoking status | smoker, non-smoker | smoker, non-smoker | |
| Participants(Control) | Type | before vs. after treatment (radiation treatment) | before vs. after treatment (radiation treatment) |
| Number | – | – | |
| Gender (M,F) | – | – | |
| Mean age (range) (M,F) | – | – | |
| Smoking status | smoker, non-smoker | smoker, non-smoker | |
Data processing and metabolite identification | |
|---|---|
| Data processing software | Chenomx NMR Suite 7.1, Metabolite Detector |
| Database search | – |
Statistical analysis | |
|---|---|
| Differential analysis method | OPLS-DA, CV-ANOVA |
| Classification method | – |
| Survival analysis method | – |
Lung cancer-related metabolites identified in the paper
| Metabolite | Author-emphasized biomarkers | Mean concentration (case) | Mean concentration (control) | Fold change (case/control) | P-value | FDR | VIP |
|---|---|---|---|---|---|---|---|
| 2-aminobutyrate | – | – | – | – | – | – | >1 |
| 2-oxoglutarate | – | – | – | – | – | – | >1 |
| 4-hydroxybutyrate | – | – | – | – | – | – | >1 |
| butanoic acid, 2-hydroxy | V | – | – | – | – | – | >1 |
| citrate | – | – | – | – | – | – | >1 |
| citric acid | V | – | – | – | – | – | >1 |
| creatinine | – | – | – | – | – | – | >1 |
| dimethylamine | – | – | – | – | – | – | >1 |
| erythritol | – | – | – | – | – | – | >1 |
| glucopyranose | V | – | – | – | – | – | >1 |
| isopropanol | – | – | – | – | – | – | >1 |
| methionine | – | – | – | – | – | – | >1 |
| ribitol | – | – | – | – | – | – | >1 |
| threonine | – | – | – | – | – | – | >1 |
| Metabolite | Author-emphasized biomarkers | Cutoff value | AUROC (95%CI) | Sensitivity (%) | Specificity (%) | Accuracy (%) |
|---|---|---|---|---|---|---|
| 2-aminobutyrate | – | – | – | – | – | – |
| 2-oxoglutarate | – | – | – | – | – | – |
| 4-hydroxybutyrate | – | – | – | – | – | – |
| butanoic acid, 2-hydroxy | V | – | – | – | – | – |
| citrate | – | – | – | – | – | – |
| citric acid | V | – | – | – | – | – |
| creatinine | – | – | – | – | – | – |
| dimethylamine | – | – | – | – | – | – |
| erythritol | – | – | – | – | – | – |
| glucopyranose | V | – | – | – | – | – |
| isopropanol | – | – | – | – | – | – |
| methionine | – | – | – | – | – | – |
| ribitol | – | – | – | – | – | – |
| threonine | – | – | – | – | – | – |
Paper graphical summary
