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Citation Information
J Cell Biochem. 2019 Feb 25. doi: 10.1002/jcb.28482. [Epub ahead of print]
Integration of metabolomic and transcriptomic profiles to identify biomarkers in serum of lung cancer.
Sun Q, Zhao W, Wang L, Guo F, Song D, Zhang Q, Zhang D, Fan Y, Wang J.
Analytical methods | ||
|---|---|---|
| Comparative study | #1 | |
| Chromatography | GC | |
| Ion source | – | |
| Positive/Negative mode | – | |
| Mass analyzer | – | |
| Identification level | – | |
Sample information | ||
|---|---|---|
| Comparative study | #1 | |
| Country | China | |
| Specimen | serum | |
| Marker function | diagnosis | |
| Participants(Case) | Cancer type | lung cancer |
| Stage | I, II, III, IV | |
| Number | 31 | |
| Gender (M,F) | 21, 10 | |
| Mean age (range) (M,F) | 54.1 ± 9.9 | |
| Smoking status | smoker, non-smoker | |
| Participants(Control) | Type | healthy |
| Number | 29 | |
| Gender (M,F) | 15, 14 | |
| Mean age (range) (M,F) | 52.1 ± 14.6 | |
| Smoking status | smoker, non-smoker | |
Data processing and metabolite identification | |
|---|---|
| Data processing software | – |
| Database search | BinBase, KEGG |
Statistical analysis | |
|---|---|
| Differential analysis method | Student t test, PLS-DA |
| Classification method | ROC curve analysis |
| 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 |
|---|---|---|---|---|---|---|---|
| salicylic acid | – | – | – | 5.81 | 6.46e-05 | 9.09e-04 | 0.84 |
| paracetamol | – | – | – | 4.73 | 2.86e-11 | 1.21e-10 | 1.23 |
| threitol | – | – | – | 4.05 | 1.06e-10 | 3.58e-09 | 1.35 |
| adenosine-5-phosphate | – | – | – | 3.86 | 2.20e-11 | 1.21e-09 | 1.30 |
| 2-hydroxyhippuric acid | – | – | – | 3.83 | 3.07e-08 | 7.42e-07 | 0.86 |
| azelaic acid | – | – | – | 2.39 | 4.55e-04 | 4.05e-03 | 0.65 |
| oleic acid | – | – | – | 2.20 | 8.95e-06 | 1.51e-04 | 0.73 |
| palmitoleic acid | – | – | – | 2.13 | 1.05e-04 | 1.37e-03 | 0.73 |
| butane-2,3-diol | – | – | – | 2.12 | 5.81e-05 | 8.93e-04 | 0.76 |
| kynurenine | – | – | – | 1.87 | 2.20e-04 | 2.41e-03 | 0.55 |
| maltose | – | – | – | 1.72 | 2.28e-04 | 2.41e-03 | 0.52 |
| 3-phosphoglycerate | – | – | – | 1.60 | 4.04e-03 | 0.03 | 0.24 |
| urea | – | – | – | 1.53 | 2.76e-04 | 2.60e-03 | 0.16 |
| dodecanol | – | – | – | 0.73 | 1.64e-03 | 0.01 | 1.02 |
| naproxen | – | – | – | 0.72 | 1.28e-04 | 1.54e-03 | 1.18 |
| cystine | – | – | – | 0.72 | 4.62e-03 | 0.03 | 1.05 |
| caprylic acid | – | – | – | 0.67 | 1.29e-03 | 0.01 | 1.01 |
| lyxose | – | – | – | 0.54 | 2.62e-04 | 2.60e-03 | 1.07 |
| inosine | – | – | – | 0.54 | 6.73e-06 | 1.26e-04 | 1.27 |
| oxalic acid | – | – | – | 0.45 | 1.93e-09 | 5.43e-08 | 1.40 |
| fructose | – | – | – | 0.40 | 4.50e-06 | 9.51e-05 | 1.29 |
| indole-3-acetate | – | – | – | 0.25 | 3.62e-18 | 6.12e-16 | 1.69 |
| erythritol | V | – | – | 0.21 | 2.58e-17 | 2.18e-15 | 1.67 |
| Metabolite | Author-emphasized biomarkers | Cutoff value | AUROC (95%CI) | Sensitivity (%) | Specificity (%) | Accuracy (%) |
|---|---|---|---|---|---|---|
| salicylic acid | – | – | – | – | – | – |
| paracetamol | – | – | – | – | – | – |
| threitol | – | – | – | – | – | – |
| adenosine-5-phosphate | – | – | – | – | – | – |
| 2-hydroxyhippuric acid | – | – | – | – | – | – |
| azelaic acid | – | – | – | – | – | – |
| oleic acid | – | – | – | – | – | – |
| palmitoleic acid | – | – | – | – | – | – |
| butane-2,3-diol | – | – | – | – | – | – |
| kynurenine | – | – | – | – | – | – |
| maltose | – | – | – | – | – | – |
| 3-phosphoglycerate | – | – | – | – | – | – |
| urea | – | – | – | – | – | – |
| dodecanol | – | – | – | – | – | – |
| naproxen | – | – | – | – | – | – |
| cystine | – | – | – | – | – | – |
| caprylic acid | – | – | – | – | – | – |
| lyxose | – | – | – | – | – | – |
| inosine | – | – | – | – | – | – |
| oxalic acid | – | – | – | – | – | – |
| fructose | – | – | – | – | – | – |
| indole-3-acetate | – | – | – | – | – | – |
| erythritol | V | – | (0.914, 1.000) | 93.1 | 100 | – |
Paper graphical summary
