Showing information for HMDB0004362 ('4-hydroxy-2-nonenal')

Metabolite information
HMDB ID HMDB0004362
Synonyms
(e)-4-Hydroxy-2-nonenal
4-HNE CPD
4-Hydroxy-2,3-nonenal
4-Hydroxy-2,3-trans-nonenal
4-Hydroxy-2-nonenal
4-Hydroxy-2-nonenal, (e)-isomer
4-Hydroxynon-2-enal
4-Hydroxynonen-2-al
HNE
trans-4-Hydroxy-2-nonenal
Chemical formula C9H16O2
IUPAC name
(2E)-4-hydroxynon-2-enal
CAS registry number 75899-68-2
Monoisotopic molecular weight 156.115029756

Chemical taxonomy
Super class Lipids and lipid-like molecules
Class Fatty Acyls
Sub class Fatty alcohols

Biological properties
Pathways (Pathway Details in HMDB)

The paper(s) that report HMDB0004362 as a lung cancer biomarker


The studies that identify HMDB0004362 as a lung cancer-related metabolite

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. 2015 US exhaled breath diagnosis lung cancer I, II, III, IV 85 46, 39 66.12 ± 10.1 former, current, non-smoker healthy 85 43, 42 42.15 ± 14.2 current, non-smoker
Li et al. 2015 US exhaled breath diagnosis lung cancer I, II, III, IV 85 46, 39 66.12 ± 10.1 former, current, non-smoker healthy 45 – – current
Li et al. 2015 US exhaled breath diagnosis lung cancer I, II, III, IV 85 46, 39 66.12 ± 10.1 former, current, non-smoker healthy 40 – – non-smoker
Reference Chromatography Ion source Positive/Negative mode Mass analyzer Identification level
Li et al. 2015 DI nano-ESI – LTQ-FT-ICR MS/MS
Li et al. 2015 DI nano-ESI – LTQ-FT-ICR MS/MS
Li et al. 2015 DI nano-ESI – LTQ-FT-ICR MS/MS
Reference Data processing software Database search
Li et al. 2015 – –
Li et al. 2015 – –
Li et al. 2015 – –
Reference Difference method Mean concentration (case) Mean concentration (control) Fold change (case/control) P-value FDR VIP
Li et al. 2015 Kruskal-Wallis test – – – – – –
Li et al. 2015 Kruskal-Wallis test – – – – – –
Li et al. 2015 Kruskal-Wallis test – – – – – –
Reference Classification method Cutoff value AUROC 95%CI Sensitivity (%) Specificity (%) Accuracy (%)
Li et al. 2015 ROC curve 0.00175 0.696 – – –
Li et al. 2015 ROC curve 0.000285 0.826 – – –
Li et al. 2015 ROC curve 0.000255 0.842 – – –