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Citation Information
J Breath Res. 2016 Feb 11;10(1):016011. doi: 10.1088/1752-7155/10/1/016011.
Metabolomics analysis of exhaled breath condensate for discrimination between lung cancer patients and risk factor individuals.
Peralbo-Molina A, Calderón-Santiago M, Priego-Capote F, Jurado-Gámez B, Luque de Castro MD.
Analytical methods | |||
|---|---|---|---|
| Comparative study | #1 | #2 | |
| Chromatography | GC | GC | |
| Ion source | EI | EI | |
| Positive/Negative mode | – | – | |
| Mass analyzer | Q-TOF | Q-TOF | |
| Identification level | – | – | |
Sample information | |||
|---|---|---|---|
| Comparative study | #1 | #2 | |
| Country | Spain | Spain | |
| Specimen | exhaled breath | exhaled breath | |
| Marker function | diagnosis | diagnosis | |
| Participants(Case) | Cancer type | squamous cell carcinoma, adenocarcinoma, large cell carcinoma, NSCLC, SCLC | squamous cell carcinoma, adenocarcinoma, large cell carcinoma, NSCLC, SCLC |
| Stage | – | – | |
| Number | 48 | 48 | |
| Gender (M,F) | 45, 3 | 45, 3 | |
| Mean age (range) (M,F) | 63 ± 7 | 63 ± 7 | |
| Smoking status | – | – | |
| Participants(Control) | Type | healthy | at-risk controls |
| Number | 61 | 130 | |
| Gender (M,F) | 53, 8 | 107, 23 | |
| Mean age (range) (M,F) | 60 ± 9 | 61±8 | |
| Smoking status | non-smoker | former, active smokers | |
Data processing and metabolite identification | |
|---|---|
| Data processing software | Mass Profiler Professional (Angilent), Quantitative Analysis (Angilent) |
| Database search | NIST 11, KEGG |
Statistical analysis | |
|---|---|
| Differential analysis method | unpaired t-test, Fisher's exact, Mann–Whitney tests |
| Classification method | Support-vector machine, 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 |
|---|---|---|---|---|---|---|---|
| monostearin | V | – | – | 8.10 | 1.07e-04 | – | – |
| monopalmitin | V | – | – | 6.19 | 3.90e-03 | – | – |
| monostearin | V | – | – | 6.10 | 3.91e-03 | – | – |
| squalene | V | – | – | 5.39 | 2.12e-04 | – | – |
| triethyl citrate | V | – | – | 4.70 | 9.73e-03 | – | – |
| 11-eicosenamide | V | – | – | 4.48 | 3.13e-05 | – | – |
| n-hexadecylindane | – | – | – | 3.87 | 2.71e-03 | – | – |
| n-hexadecylindane | – | – | – | 3.52 | 4.81e-04 | – | – |
| 13-heptadecyn-1-ol | – | – | – | 2.71 | 2.02e-03 | – | – |
| benzoic acid 4-ethoxy-ethyl ester | V | – | – | 0.33 | 3.49e-03 | – | – |
| indole | – | – | – | 0.15 | 3.51e-04 | – | – |
| p-cresol | – | – | – | 0.12 | 9.00e-04 | – | – |
| Metabolite | Author-emphasized biomarkers | Cutoff value | AUROC (95%CI) | Sensitivity (%) | Specificity (%) | Accuracy (%) |
|---|---|---|---|---|---|---|
| monostearin | V | – | – | – | – | – |
| monopalmitin | V | – | – | – | – | – |
| monostearin | V | – | – | – | – | – |
| squalene | V | – | – | – | – | – |
| triethyl citrate | V | – | – | – | – | – |
| 11-eicosenamide | V | – | – | – | – | – |
| n-hexadecylindane | – | – | – | – | – | – |
| n-hexadecylindane | – | – | – | – | – | – |
| 13-heptadecyn-1-ol | – | – | – | – | – | – |
| benzoic acid 4-ethoxy-ethyl ester | V | – | – | – | – | – |
| indole | – | – | – | – | – | – |
| p-cresol | – | – | – | – | – | – |
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