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-XylotocopherolAbortosanAdiposeAlcala 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 tocopherolBody fatBottger brand OF tocopherol acetateCambridge laboratories brand OF tocopherol actetateCellular membraneCoffeeCoffee beanCucurbitsCytoplasmaDL-a-TocopherolDL-alpha-TocopherolDL-α-tocopherolDal eDal vita brand OF vitamin e succinateDal-eDal-vita brand OF vitamin e succinateDavitamonDermorelleDetulinDigestionDragees, vitamin-eEUNOVA vitamin eEVI-mirale, vitamin-eEcoroElex verlaEmbialEndometrial cancerEndometrial cancer, familialEndometrial carcinoma, somaticEphynalEplonatEquivit eEu rho brand OF tocopherolEusovitEvionExtracellular regionFaecalFaecesFat tissueFaunaFecalFloraGNR Pharma brand OF tocopherol actetateGNR-Pharma brand OF tocopherol actetateGourdsGrace brand OF tocopherolGramineaeGrunwalder 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 tocopherolLasarLegumeLipid metabolic processMIP brand OF tocopherol acetateMalton eMembrane integrity agentMembrane stability agentMerck brand OF tocopherol acetateMethyltocolsMicorvit eMowivit vitamin eMucos brand OF tocopherol acetateNerve tissueNeural tissueO-XylotocopherolOrganon brand OF tocopherol acetatePapilionoideaeProstate glandProstate neoplasmRatiopharm 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 acetateSignal transductionSnow-e muscle, energy and feritilitySoySoyaSoya beanSoybeanSpondyvitStadapharm brand OF tocopherolSteigerwald brand OF tocopherol acetateStoolStrathmann brand OF tocopherolStriated muscleSurface-active agentThrombocyteTocolionTocopaTocopharmTocopherolTocopherol 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 |
Monisotopic 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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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 | ||||
Fahrmann et al. 2015 | – | 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 | – | serum | diagnosis | adenocarcinoma | I, II, III, IV | 49 | 17, 32 | 65.9 ± 9.87 | – | healthy | 31 | 11, 20 | 64.1 ± 8.97 | – |
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 | – |
Miyamoto et al. 2015 | – | 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 |
Fahrmann et al. 2015 | – | 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 | – | serum | diagnosis | adenocarcinoma | I, II, III, IV | 43 | 21, 22 | 67.3 ± 10.10 | – | healthy | 43 | 21, 22 | 65.9 ± 8.05 | – |
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 | – |
Roś-Mazurczyk et al. 2017 | – | serum | diagnosis | adenocarcinoma, squamous cell carcinoma | I, II, III | 31 | 17, 14 | 52-72 | – | healthy | 92 | 52, 40 | 52-73 | – |
Miyamoto et al. 2015 | – | 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 |
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 | – |
Wikoff et al. 2015b | – | 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 |
Reference | Chromatography | Ion source | Positive/Negative mode | Mass analyzer | Identification level |
Fahrmann et al. 2015 | GC | EI | – | TOF | – |
Fahrmann et al. 2015 | GC | EI | – | TOF | – |
Moreno et al. 2018 | LC, GC | ESI, EI | positive, negative | LC: linear ion‐trap, GC: single‐quadrupole | LC: MS/MS |
Miyamoto et al. 2015 | GC | EI | – | TOF | MS/MS |
Fahrmann et al. 2015 | GC | EI | – | TOF | – |
Fahrmann et al. 2015 | GC | EI | – | TOF | – |
Moreno et al. 2018 | LC, GC | ESI, EI | positive, negative | LC: linear ion‐trap, GC: single‐quadrupole | LC: MS/MS |
Roś-Mazurczyk et al. 2017 | GC | – | – | TOF | In-source fragmentation |
Miyamoto et al. 2015 | GC | EI | – | TOF | MS/MS |
Mazzone et al. 2016 | GC | EI | – | quadrupole | MS/MS |
Wikoff et al. 2015b | GC | EI | – | TOF | – |
Reference | Data processing software | Database search |
Fahrmann et al. 2015 | – | UC Davis Metabolomics BinBase database |
Fahrmann et al. 2015 | – | UC Davis Metabolomics BinBase database |
Moreno et al. 2018 | – | KEGG, HMDB |
Miyamoto et al. 2015 | ChromaTOF software (Leco) | UC Davis Metabolomics BinBase database |
Fahrmann et al. 2015 | – | UC Davis Metabolomics BinBase database |
Fahrmann et al. 2015 | – | UC Davis Metabolomics BinBase database |
Moreno et al. 2018 | – | KEGG, HMDB |
Roś-Mazurczyk et al. 2017 | Leco ChromaTOF-GC | Replib, Mainlib and Fiehn libraries |
Miyamoto et al. 2015 | ChromaTOF software (Leco) | UC Davis Metabolomics BinBase database |
Mazzone et al. 2016 | Metabolon LIMS system | Metabolon LIMS system |
Wikoff et al. 2015b | BinBase | NIST11, BinBase |
Reference | Difference method | Mean concentration (case) | Mean concentration (control) | Fold change (case/control) | P-value | FDR | VIP |
Fahrmann et al. 2015 | regress (by the covariates: age, gender and smoking history [packs per year]), permutation test | 332 ± 235 | 393 ± 383 | 0.85 | 0.941 | 0.985 | – |
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 | 0.814 | – |
Moreno et al. 2018 | paired two‐sample t‐test, PLS-DA | – | – | 1.09174292235483 | 0.479696365954608 | 0.517574866151607 | – |
Miyamoto et al. 2015 | Analysis of Covariance | 2495.5 | 2312.9 | 1.07894850620433 | 0.291111776794206 | – | – |
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 | 0.142 | – |
Fahrmann et al. 2015 | regress (by the covariates: age, gender and smoking history [packs per year]), permutation test | 556 ± 304 | 463 ± 286 | 1.199 | 0.028 | 0.188 | – |
Moreno et al. 2018 | paired two‐sample t‐test, PLS-DA | – | – | 1.22519353601334 | 0.0171135094304505 | 0.0314344378241328 | – |
Roś-Mazurczyk et al. 2017 | two-sample T test, U Mann-Whitney test, Benjamini-Hochberg approach | 0.28104 ± 0.11558 | 0.40574 ± 0.28152 | 0.69266032434564 | 0.0097645 | 0.12427 | – |
Miyamoto et al. 2015 | Analysis of Covariance | 3330.18181818182 | 1468.72727272727 | 2.26739291903937 | 0.0089795742154945 | – | – |
Mazzone et al. 2016 | two- sample independent t test | 1.3036106± 0.7717303 | 0.9814279± 0.6415495 | 1.32827954045325 | 0.0002384 | 0.015006832 | – |
Wikoff et al. 2015b | OPLS-DA | – | – | 1.2 | – | 0.01 | – |
Reference | Classification method | Cutoff value | AUROC 95%CI | Sensitivity (%) | Specificity (%) | Accuracy (%) |
Fahrmann et al. 2015 | random forest | – | – | – | – | – |
Fahrmann et al. 2015 | random forest | – | – | – | – | – |
Moreno et al. 2018 | – | – | – | – | – | – |
Miyamoto et al. 2015 | – | – | – | – | – | – |
Fahrmann et al. 2015 | random forest | – | – | – | – | – |
Fahrmann et al. 2015 | random forest | – | – | – | – | – |
Moreno et al. 2018 | – | – | – | – | – | – |
Roś-Mazurczyk et al. 2017 | ROC curve | – | – | – | – | – |
Miyamoto et al. 2015 | – | – | – | – | – | – |
Mazzone et al. 2016 | – | – | – | – | – | – |
Wikoff et al. 2015b | – | – | – | – | – | – |