Metabolite information |
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| HMDB ID | - |
| Synonyms |
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| Chemical formula | - |
| IUPAC name | - |
| CAS registry number | - |
| Monoisotopic molecular weight | - |
Chemical taxonomy |
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| Super class | - |
| Class | - |
| Sub class | - |
Biological properties |
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| Pathways |
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| Reference | Country | Specimen | Marker function | Participants (Case) | Participants (Control) | |||||||||
| Cancer type | Stage | Number | Gender (M,F) | Age mean (range) (M/F) | Smoking status | Type | Number | Gender (M,F) | Age mean (range) (M/F) | Smoking status | ||||
| Li et al. 2014 | China | serum | diagnosis | NSCLC, SCLC | – | 23 | 12, 11 | 63.0 ± 9.8 / 59.4 ± 5.8 | – | healthy | 23 | 11, 12 | 51.0 ± 11.1 / 56.3 ± 14.3 | – |
| Reference | Chromatography | Ion source | Positive/Negative mode | Mass analyzer | Identification level |
| Li et al. 2014 | LC | – | positive | Q-TOF | MS/MS |
| Reference | Data processing software | Database search |
| Li et al. 2014 | MarkerLynx | METLIN, HMDB, KEGG |
| Reference | Difference method | Mean concentration (case) | Mean concentration (control) | Fold change (case/control) | P-value | FDR | VIP |
| Li et al. 2014 | PCA, PLS-DA, OSC-PLS-DA, student’s t-test | – | – | – | 0.05 | – | 3.90 |
| Reference | Classification method | Cutoff value | AUROC 95%CI | Sensitivity (%) | Specificity (%) | Accuracy (%) |
| Li et al. 2014 | ROC curve analysis | – | – | – | – | – |