Table 3.

Multivariable analysis to predict survival.

	Univariable		Multivariable
Factor	P	OR (95% CI)	P	OR (95% CI)
100% DESMOPLASTIC GROWTH PATTERN
Cohort 1 Cohort 2 Combined cohorts	0.096 0.017 0.003	3.117 (0.817–11.885) 6.828 (1.401–33.281) 4.417 (1.646–11.854)	0.157 0.040 0.019	2.709 (0.682–10.768) 5.858 (1.083–31.693) 3.681 (1.244–10.888)
HIGH CD79A TUMOUR STROMA
Cohort 1 Cohort 2 Combined cohorts	0.086 0.057 0.010	2.917 (0.860–9.889) 2.550 (0.972–6.690) 2.667 (1.263–5.630)	0.110 0.095 0.036	2.740 (0.795–9.443) 2.443 (0.856–6.978) 2.428 (1.062–5.552)
HIGH K/L TUMOUR STROMA
Cohort 1 Cohort 2 Combined cohorts	0.070 0.072 0.013	2.429 (0.930–6.341) 2.364 (0.925–6.043) 2.562 (1.218–5.389)	0.124 0.067 0.029	2.682 (0.762–15.248) 2.589 (0.934–7.171) 2.500 (1.100–5.682)

Three biomarkers were analysed in multivariable analysis. Each biomarker is adjusted for the most significant prognostic clinical factor(s) within the respective cohort according to the “one variable per 10 events” rule (30). In cohort 1, the variables were corrected for “major liver surgery (≥ 3 segments)”. In cohort 2, correction was performed using the variables: age, sex and tumour size. In the combined cohort, correction was performed using the variables: age, sex, solitary tumour, tumour size, and cohort. An odds ratio >1 corresponds with good survival. CI, confidence interval; K/L, Kappa Lamda.