Metabolite information |
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HMDB ID | HMDB0002068 |
Synonyms |
13-Docosenoate13-Docosenoic acid13-Docosenoic acid [acd/name 4.0]13-cis-Docosenoate13-cis-Docosenoic acid22:1Omega9C22:1N-9Cellular membraneCoffeeCoffee beanCucurbitsCytoplasmaDelta.13-cis-docosenoateDelta.13-cis-docosenoic acidDigestionDocos-13C-enoateDocos-13C-enoic acidErucasaeureErucateErucic acid, [Z]-isomerErucic acid, [e]-isomerErucic acid, potassium salt, [Z]-isomerErucic acid, sodium salt, [Z]-isomerExtracellular regionFaecalFaecesFaunaFecalFloraGourdsGramineaeLegumeLipid bodyLipid dropletLipid metabolic processLipid particleMembrane integrity agentMembrane stability agentPapilionoideaePrifrac 2990Signal transductionSoySoyaSoya beanSoybeanStoolSurface-active agent[13Z]-13-Docosenoate[13Z]-13-Docosenoic acid[13Z]-Docosenoate[13Z]-Docosenoic acid[Z]-13-Docosenoate[Z]-13-Docosenoic acid[Z]-Docos-13-enoate[Z]-Docos-13-enoic acidcis-13-Docosenoatecis-13-Docosenoic acidcis-Delta[13]-Docosenoic acidcis-Eruatecis-Erucic acidcis-Eruic acidcis-delta[13]-Docosenoatecis-δ[13]-docosenoatecis-δ[13]-docosenoic aciddelta 13-cis-Docosenoatedelta 13-cis-Docosenoic acid |
Chemical formula | C22H42O2 |
IUPAC name | (13Z)-docos-13-enoic acid |
CAS registry number | 112-86-7 |
Monisotopic molecular weight | 338.318480588 |
Chemical taxonomy |
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Super class | Lipids and lipid-like molecules |
Class | Fatty Acyls |
Sub class | Fatty acids and conjugates |
Biological properties |
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Pahtways |
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Author-emphasized biomarker in the paper(s) |
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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 | – | 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 | – |
Mazzone et al. 2016 | – | serum | – | adenocarcinoma, squamous cell carcinoma | I, II, III | 94 | 55.3%, 44.7% | 68.7 | – | at-risk controls | 190 | 50.5%, 49.5% | 66.2 | – |
Moreno et al. 2018 | – | tissue | therapy, diagnosis | adenocarcinoma | I, II, III | 33 | 24, 9 | 62.11 ± 9.73 | – | tumor vs. adjacent normal tissue | 33 | 24, 9 | 62.11 ± 9.73 | – |
Moreno et al. 2018 | – | tissue | therapy, diagnosis | squamous cell carcinoma | I, II, III | 35 | 35, 0 | 68.71 ± 7.46 | – | tumor vs. adjacent normal tissue | 35 | 35, 0 | 68.71 ± 7.46 | – |
Reference | Chromatography | Ion source | Positive/Negative mode | Mass analyzer | Identification level |
Li et al. 2014 | LC | – | positive | Q-TOF | MS/MS |
Mazzone et al. 2016 | LC | ESI | negative | linear ion-trap | MS/MS |
Moreno et al. 2018 | LC, GC | ESI, EI | positive, negative | LC: linear ion‐trap, GC: single‐quadrupole | LC: MS/MS |
Moreno et al. 2018 | LC, GC | ESI, EI | positive, negative | LC: linear ion‐trap, GC: single‐quadrupole | LC: MS/MS |
Reference | Data processing software | Database search |
Li et al. 2014 | MarkerLynx | METLIN, HMDB, KEGG |
Mazzone et al. 2016 | Metabolon LIMS system | Metabolon LIMS system |
Moreno et al. 2018 | – | KEGG, HMDB |
Moreno et al. 2018 | – | KEGG, HMDB |
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 | – | 1.3 |
Mazzone et al. 2016 | two- sample independent t test | 1.465409± 1.357844 | 1.403337± 2.965158 | 1.04423171340882 | 0.8468682 | 0.780448198 | – |
Moreno et al. 2018 | paired two‐sample t‐test, PLS-DA | – | – | 2.30244396559174 | 0.00000160216333606732 | 0.000010766518195009 | – |
Moreno et al. 2018 | paired two‐sample t‐test, PLS-DA | – | – | 4.62707734814085 | 0.00000000000000587098436824262 | 0.000000000000173520204661393 | – |
Reference | Classification method | Cutoff value | AUROC 95%CI | Sensitivity (%) | Specificity (%) | Accuracy (%) |
Li et al. 2014 | ROC curve analysis | – | – | – | – | – |
Mazzone et al. 2016 | – | – | – | – | – | – |
Moreno et al. 2018 | – | – | – | – | – | – |
Moreno et al. 2018 | – | – | – | – | – | – |