Metabolite information |
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HMDB ID | HMDB0001492 |
Synonyms |
3,4-dihydro-2,7,8-Trimethyl-2-(4,8,12-trimethyltridecyl)-2H-1-benzopyran-6-ol7,8-Dimethyltocol7,8-dimethyltocolo-XylotocopherolAbortosanAlcala brand OF tocopherol acetateAliud brand OF tocopherolAntioxidans e-hevertAquasol eArkopharma brand OF tocopherol acetateAstraZeneca brand OF tocopherol acetateAtarost brand OF tocopherol acetateAusrichter brand OF tocopherolAuxina eBalkanpharma brand OF tocopherolBayer brand OF tocopherol acetateBiocur brand OF tocopherol acetateBiosanBioweyxinBlackmores brand OF tocopherolBottger brand OF tocopherol acetateCambridge laboratories brand OF tocopherol actetateDL-a-TocopherolDL-alpha-TocopherolDL-α-tocopherolDal eDal vita brand OF vitamin e succinateDal-eDal-vita brand OF vitamin e succinateDavitamonDermorelleDetulinDragees, vitamin-eEUNOVA vitamin eEVI-mirale, vitamin-eEcoroElex verlaEmbialEphynalEplonatEquivit eEu rho brand OF tocopherolEusovitEvionGNR Pharma brand OF tocopherol actetateGNR-Pharma brand OF tocopherol actetateGrace brand OF tocopherolGrunwalder brand OF tocopherolHervert brand OF tocopherol acetateHeyl brand OF tocopherol acetateHydrovit eICN brand OF tocopherol acetateInfirmarius rovit brand OF tocopherolInfirmarius-rovit brand OF tocopherolInternation animal health brand OF tocopherol acetateJenapharm brand OF tocopherolKentucky brand OF tocopherolKohler brand OF tocopherolLasarMIP brand OF tocopherol acetateMalton eMerck brand OF tocopherol acetateMethyltocolsMicorvit eMowivit vitamin eMucos brand OF tocopherol acetateO-XylotocopherolOrganon brand OF tocopherol acetateRatiopharm brand OF tocopherolRichelet brand OF tocopherol acetateRichtavit eRiemser brand OF tocopherolRoche nicholas brand OF tocopherol acetateRodisma med brand OF tocopherolRodisma-med brand OF tocopherolSanavitan SSanum kehlbeck brand OF tocopherol actetateSanum-kehlbeck brand OF tocopherol actetateSchwarzhaupt brand OF tocopherol acetateSciencex brand OF tocopherol acetateScot tussin brand OF tocopherol acetateScot-tussin brand OF tocopherol acetateSnow-e muscle, energy and feritilitySpondyvitStadapharm brand OF tocopherolSteigerwald brand OF tocopherol acetateStrathmann brand OF tocopherolTocolionTocopaTocopharmTocopherolTocopherol ausrichter brandTocopherol balkanpharma brandTocopherol bayerTocopherol grace brandTocopherol grunwalder brandTocopherol infirmarius-rovit brandTocopherol kentucky brandTocopherol ratiopharm brandTocopherol rodisma-med brandTocopherol stadapharm brandTocopherol togal brandTocopherol twardy brandTocopherol verla brandTocopherol wiedemann brandTocopherol worwag brandTocopherolsTocovitalTogal brand OF tocopherolTogasan vitamin eTroyapharm brand OF tocopherol acetateTwardy brand OF tocopherolUnique eUnoVitVerla brand OF tocopherolVeyx brand OF tocopherolVibolexVit e hydrosolVit. e stadaVita eVita plus eVita-eVita-plus eVitaEVitaPlus eVitagutt vitamin eVitamin e MPVitamin e alVitamin e drageesVitamin e evi miraleVitamin e gammaVitamin e naturVitamin e sanumVitamin e suspensionVitamin e, mowivitVitamin e, togasanVitamin e, vitaguttVitamin e-MPVitamin empVitamin-e drageesVitamin-e evi-miraleVitamine e GNRVitazellWiedemann brand OF tocopherolWiedemann brand OF vitamin e succinateWoelm brand OF tocopherol acetateWorwag brand OF tocopheroladisseo Brand OF tocopherolbio ebiopto-ee Ferole Mulsine Vicotrate Vitamin ee-Ferole-Mulsine-Vicotrate-Vitamin-ratiopharmg-Tocopherolmedphano Brand OF tocopherol acetatepuncto euno Vituno-Vitγ-tocopherol |
Chemical formula | C28H48O2 |
IUPAC name | 2,7,8-trimethyl-2-(4,8,12-trimethyltridecyl)-3,4-dihydro-2H-1-benzopyran-6-ol |
CAS registry number | 1406-66-2 |
Monoisotopic molecular weight | 416.36543078 |
Chemical taxonomy |
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Super class | Lipids and lipid-like molecules |
Class | Prenol lipids |
Sub class | Quinone and hydroquinone lipids |
Biological properties |
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Pathways (Pathway Details in HMDB) |
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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 | ||||
Miyamoto et al. 2015 | US | blood | diagnosis | adenocarcinoma | unknown (mostly late stage) | 18 | 10, 8 | 67 (50-85) / 62 (53-72) | former, current | healthy | 20 | 8, 12 | 64 (49-80) / 66 (58-82) | former, current |
Miyamoto et al. 2015 | US | blood | diagnosis | NSCLC, SCLC, mesothelioma, secondary metastasis to lung | I, II, III, IV | 11 | 4, 7 | 67 (61-73) / 67 (47-76) | smoker, non-smoker | healthy | 11 | 5, 6 | 69 (61-83) / 54 (44-61) | unknown |
Ro?-Mazurczyk et al. 2017 | Poland | serum | diagnosis | adenocarcinoma, squamous cell carcinoma | I, II, III | 31 | 17, 14 | 52-72 | – | healthy | 92 | 52, 40 | 52-73 | – |
Mazzone et al. 2016 | US | 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 | – |
Fahrmann et al. 2015 | US | plasma | diagnosis | adenocarcinoma | I, II, III, IV | 52 | 17, 35 | 65.9 ± 9.66 | – | healthy | 31 | 11, 20 | 64.1 ± 8.97 | – |
Fahrmann et al. 2015 | US | plasma | diagnosis | adenocarcinoma | I, II, III, IV | 43 | 21, 22 | 67.3 ± 10.10 | – | healthy | 43 | 21, 22 | 65.9 ± 8.05 | – |
Fahrmann et al. 2015 | US | serum | diagnosis | adenocarcinoma | I, II, III, IV | 49 | 17, 32 | 65.9 ± 9.87 | – | healthy | 31 | 11, 20 | 64.1 ± 8.97 | – |
Fahrmann et al. 2015 | US | serum | diagnosis | adenocarcinoma | I, II, III, IV | 43 | 21, 22 | 67.3 ± 10.10 | – | healthy | 43 | 21, 22 | 65.9 ± 8.05 | – |
Wikoff et al. 2015b | US | tissue | diagnosis | adenocarcinoma | I | 39 | 15, 24 | 72.33 ± 8.78 | smoker, non-smoker | tumor vs. adjacent normal tissue | 39 | 15, 24 | 72.33 ± 8.78 | smoker, non-smoker |
Moreno et al. 2018 | Spain | 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 | Spain | 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 |
Miyamoto et al. 2015 | GC | EI | – | TOF | MS/MS |
Miyamoto et al. 2015 | GC | EI | – | TOF | MS/MS |
Ro?-Mazurczyk et al. 2017 | GC | – | – | TOF | In-source fragmentation |
Mazzone et al. 2016 | GC | EI | – | quadrupole | MS/MS |
Fahrmann et al. 2015 | GC | EI | – | TOF | – |
Fahrmann et al. 2015 | GC | EI | – | TOF | – |
Fahrmann et al. 2015 | GC | EI | – | TOF | – |
Fahrmann et al. 2015 | GC | EI | – | TOF | – |
Wikoff et al. 2015b | GC | EI | – | TOF | – |
Moreno et al. 2018 | LC, GC | ESI, EI | both | LC: linear ion-trap, GC: single-quadrupole | LC: MS/MS |
Moreno et al. 2018 | LC, GC | ESI, EI | both | LC: linear ion-trap, GC: single-quadrupole | LC: MS/MS |
Reference | Data processing software | Database search |
Miyamoto et al. 2015 | ChromaTOF software (Leco) | UC Davis Metabolomics BinBase database |
Miyamoto et al. 2015 | ChromaTOF software (Leco) | UC Davis Metabolomics BinBase database |
Ro?-Mazurczyk et al. 2017 | Leco ChromaTOF-GC | Replib, Mainlib and Fiehn libraries |
Mazzone et al. 2016 | Metabolon LIMS system | Metabolon LIMS system |
Fahrmann et al. 2015 | – | UC Davis Metabolomics BinBase database |
Fahrmann et al. 2015 | – | UC Davis Metabolomics BinBase database |
Fahrmann et al. 2015 | – | UC Davis Metabolomics BinBase database |
Fahrmann et al. 2015 | – | UC Davis Metabolomics BinBase database |
Wikoff et al. 2015b | BinBase | NIST11, BinBase |
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 |
Miyamoto et al. 2015 | Analysis of Covariance | 2495.5 | 2312.9 | 1.08 | 0.29 | – | – |
Miyamoto et al. 2015 | Analysis of Covariance | 3330.18181818182 | 1468.72727272727 | 2.27 | 8.98e-03 | – | – |
Ro?-Mazurczyk et al. 2017 | two-sample T test, U Mann-Whitney test, Benjamini-Hochberg approach | 0.28104 ± 0.11558 | 0.40574 ± 0.28152 | 0.69 | 9.76e-03 | 0.12 | – |
Mazzone et al. 2016 | two- sample independent t test | 1.3036106± 0.7717303 | 0.9814279± 0.6415495 | 1.33 | 2.38e-04 | 0.02 | – |
Fahrmann et al. 2015 | regress (by the covariates: age, gender and smoking history [packs per year]), permutation test | 332 ± 235 | 393 ± 383 | 0.85 | 0.94 | 0.98 | – |
Fahrmann et al. 2015 | regress (by the covariates: age, gender and smoking history [packs per year]), permutation test | 382 ± 220 | 314 ± 179 | 1.22 | 0.03 | 0.14 | – |
Fahrmann et al. 2015 | regress (by the covariates: age, gender and smoking history [packs per year]), permutation test | 489 ± 867 | 412 ± 321 | 1.19 | 0.63 | 0.81 | – |
Fahrmann et al. 2015 | regress (by the covariates: age, gender and smoking history [packs per year]), permutation test | 556 ± 304 | 463 ± 286 | 1.20 | 0.03 | 0.19 | – |
Wikoff et al. 2015b | OPLS-DA | – | – | 1.20 | – | 1.00e-02 | – |
Moreno et al. 2018 | paired two-sample t-test, PLS-DA | – | – | 1.23 | 0.02 | 0.03 | – |
Moreno et al. 2018 | paired two-sample t-test, PLS-DA | – | – | 1.09 | 0.48 | 0.52 | – |
Reference | Classification method | Cutoff value | AUROC 95%CI | Sensitivity (%) | Specificity (%) | Accuracy (%) |
Miyamoto et al. 2015 | – | – | – | – | – | – |
Miyamoto et al. 2015 | – | – | – | – | – | – |
Ro?-Mazurczyk et al. 2017 | ROC curve | – | – | – | – | – |
Mazzone et al. 2016 | – | – | – | – | – | – |
Fahrmann et al. 2015 | random forest | – | – | – | – | – |
Fahrmann et al. 2015 | random forest | – | – | – | – | – |
Fahrmann et al. 2015 | random forest | – | – | – | – | – |
Fahrmann et al. 2015 | random forest | – | – | – | – | – |
Wikoff et al. 2015b | – | – | – | – | – | – |
Moreno et al. 2018 | – | – | – | – | – | – |
Moreno et al. 2018 | – | – | – | – | – | – |