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Citation Information
J Proteome Res. 2010 Aug 6;9(8):4071-81. doi: 10.1021/pr100265g.
Integrated ionization approach for RRLC-MS/MS-based metabonomics: finding potential biomarkers for lung cancer.
An Z, Chen Y, Zhang R, Song Y, Sun J, He J, Bai J, Dong L, Zhan Q, Abliz Z.
Analytical methods | ||||
|---|---|---|---|---|
| Comparative study | #1 | #2 | #3 | |
| Chromatography | LC | LC | LC | |
| Ion source | ESI | APCI | APPI | |
| Positive/Negative mode | positive | positive | positive | |
| Mass analyzer | Q-TOF | Q-TOF | Q-TOF | |
| Identification level | MS/MS | MS/MS | MS/MS | |
Sample information | ||||
|---|---|---|---|---|
| Comparative study | #1 | #2 | #3 | |
| Country | China | China | China | |
| Specimen | urine | urine | urine | |
| Marker function | diagnosis | diagnosis | diagnosis | |
| Participants(Case) | Cancer type | squamous cell carcinoma, adenocarcinoma, SCLC | squamous cell carcinoma, adenocarcinoma, SCLC | squamous cell carcinoma, adenocarcinoma, SCLC |
| Stage | – | – | – | |
| Number | 19 | 19 | 19 | |
| Gender (M,F) | – | – | – | |
| Mean age (range) (M,F) | 61 ± 8.4 | 61 ± 8.4 | 61 ± 8.4 | |
| Smoking status | – | – | – | |
| Participants(Control) | Type | healthy | healthy | healthy |
| Number | 22 | 22 | 22 | |
| Gender (M,F) | – | – | – | |
| Mean age (range) (M,F) | – | – | – | |
| Smoking status | – | – | – | |
Data processing and metabolite identification | |
|---|---|
| Data processing software | MZmine 2 beta |
| Database search | HMDB, PubChem compound database, METLIN, KEGG |
Statistical analysis | |
|---|---|
| Differential analysis method | independent t-test |
| 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 |
|---|---|---|---|---|---|---|---|
| phenylalanine | – | – | – | – | 0.02 | – | – |
| succinyladenosine | – | – | – | – | 0.02 | – | – |
| tryptophan | – | – | – | – | 0.01 | – | – |
| 5’-methylthioadenosine | – | – | – | – | 5.10e-03 | – | – |
| threonylcarbonyl adenosine | – | – | – | – | 5.10e-03 | – | – |
| dimethylguanosine | – | – | – | – | 4.90e-03 | – | – |
| phenylalanine | – | – | – | – | 4.80e-03 | – | – |
| dimethylarginine | – | – | – | – | 2.80e-03 | – | – |
| tyrosine | – | – | – | – | 1.50e-03 | – | – |
| 5,6-dihydrouridine | – | – | – | – | 8.50e-04 | – | – |
| N6,N6,N6-trimethyl-L-lysine | – | – | – | – | 7.60e-04 | – | – |
| tyrosine | – | – | – | – | 7.30e-04 | – | – |
| indoxyl | – | – | – | – | 7.10e-04 | – | – |
| tryptophan | – | – | – | – | 6.50e-04 | – | – |
| Metabolite | Author-emphasized biomarkers | Cutoff value | AUROC (95%CI) | Sensitivity (%) | Specificity (%) | Accuracy (%) |
|---|---|---|---|---|---|---|
| phenylalanine | – | – | – | – | – | – |
| succinyladenosine | – | – | – | – | – | – |
| tryptophan | – | – | – | – | – | – |
| 5’-methylthioadenosine | – | – | – | – | – | – |
| threonylcarbonyl adenosine | – | – | – | – | – | – |
| dimethylguanosine | – | – | – | – | – | – |
| phenylalanine | – | – | – | – | – | – |
| dimethylarginine | – | – | – | – | – | – |
| tyrosine | – | – | – | – | – | – |
| 5,6-dihydrouridine | – | – | – | – | – | – |
| N6,N6,N6-trimethyl-L-lysine | – | – | – | – | – | – |
| tyrosine | – | – | – | – | – | – |
| indoxyl | – | – | – | – | – | – |
| tryptophan | – | – | – | – | – | – |
Paper graphical summary
