Identification of novel lipid biomarkers in xmrk- and Myc-induced models of hepatocellular carcinoma in zebrafish

Table 2 Multivariate fractional polynomial analysis of lipid class associations with disease stage

Lipid class	Odds ratio	Outcome
DHC	2.17 (1.30–3.61); p = 0.003	117% increase in the odds of moving to a worse cancer stage
GM3	1.64 (1.28–2.11); p < 0.001	64% increase in the odds of moving to a worse cancer stage
PC(O)	4.32 (1.87–10.0); p = 0.001	332% increase in the odds of moving to a worse cancer stage
PI	3.22 (1.85–5.62); p < 0.001	222% increase in the odds of moving to a worse cancer stage
PE	0.52 (0.29–0.95); p = 0.033	48% decrease in the odds of moving to a worse cancer stage
PS	0.29 (0.14–0.61); p = 0.001	71% decrease in the odds of moving to a worse cancer stage
TG	0.73 (0.60–0.89); p = 0.001	27% decrease in the odds of moving to a worse cancer stage

The results of the univariate ordinal logistic regression models were placed into a multivariate fractional polynomial analysis with backward selection variable procedures enabled to determine which lipid classes significantly modulated the HCC disease stage. All results were linear except that total GM3 used a square root nonlinear transformation (AIC =88.7 and R² = 0.55). OR odds ratio; p < 0.05

ISSN: 2049-3002