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. 2019 Jun 5;112(3):286–294. doi: 10.1093/jnci/djz122

Table 4.

Odds ratios and 95% confidence intervals for serum metabolites* independently associated with primary incident liver cancer or liver disease mortality over 27 years of follow-up in a nested case-control study from the Alpha-Tocopherol, Beta-Carotene Cancer Prevention cohort

Metabolite Order entered Model entry P Mutually adjusted OR (95 % CI) Mutually adjusted P,
Liver cancer (n = 221 cases; n = 221 controls)
 Glycocholic acid 1 <.001 2.80 (1.32 to 5.91) .007
 Leu-val 2 <.001 0.30 (0.15 to 0.61) <.001
 Hypoxanthine 3 <.001 0.32 (0.14 to 0.69) .004
 LysoPC(18:2) 4 .004 0.33 (0.16 to 0.69) .003
 LysoPC(15:0) 5 .003 0.26 (0.11 to 0.65) .004
Liver disease mortality (n = 242 cases; n = 242 controls)
 Glycochenodeoxycholic acid 1 <.001 4.49 (2.20 to 9.16) <.001
 LysoPC(18:2) 2 <.001 0.28 (0.13 to 0.61) .001
 Serotonin 3 <.001 0.34 (0.19 to 0.62) <.001
 Trigonelline 4 .005 0.37 (0.18 to 0.75) .006
*

ORs for cases and matched controls are scaled to compare the 90th to the 10th percentile of metabolite values (modeled on a continuous basis) based on the distribution in the controls; letting X90 and X10 denote the 90th percentile and 10th percentile in controls, and β denote the log(OR) from the conditional logistic regression model, the OR is eβ(X90−X10). CI = confidence interval; Leu-val = leucyl-valine; LysoPC = lysophosphatidylcholine; OR = odds ratio.

P value for χ2 test obtained from conditional logistic regression model for a given metabolite (modeled on a continuous basis); all tests were two-sided.

Models adjusted for entry age (years), body mass index (kg/m2), smoking intensity (cigarettes/day), smoking duration (years), alcohol intake (none, <11.6 g/day, ≥11.6 g/day, or missing), self-reported diabetes status (yes or no), education (≤ or > elementary education), run order, and all other metabolites previously in model.