. 2014 May 23;35(9):2074–2083. doi: 10.1093/carcin/bgu114

Table I.

Logistic regression analysis of the association between HERV-K gag mRNA levels in PBMC and a prostate cancer diagnosis

	Univariate analysis^a			Multivariable analysis I^b			Multivariable analysis II^c			Multivariable analysis III^d
	OR (95% confidence interval)	P value	n	OR (95% confidence interval)	P value	n	OR (95% confidence interval)	P value	n	OR (95% confidence interval)	P value	w
Logistic regression with HERV-K gag coded as a continuous variable (per Ct value)
Gag mRNA	1.33 (1.24–1.43)	<0.0001	429	1.36 (1.26–1.47)	<0.0001	427	1.49 (1.35–1.65)	<0.0001	358	1.67 (1.42–1.96)	<0.0001	148
Logistic regression comparing high versus low HERV-K gag expression^e
Low gag	1			1			1			1
High gag	5.85 (3.67–9.36)	<0.0001	429	6.02 (3.73–9.72)	<0.0001	427	10.35 (5.43–19.8)	<0.0001	358	24.52 (8.61–69.8)	<0.0001	148
Logistic regression to evaluate a dose response effect after stratification of HERV-K (HML-2) gag expression into quartiles^f
1st quartile	1		48	1		48	1		42	1		30
2nd quartile	1.38 (0.61–3.11)	0.433	57	1.58 (0.69–3.62)	0.280	57	1.53 (0.61–3.81)	0.363	43	2.25 (0.50–10.1)	0.288	20
3rd quartile	4.14 (1.98–8.67)	<0.0001	98	5.90 (2.69–13.0)	<0.0001	96	7.15 (3.01–16.9)	<0.0001	80	7.80 (2.05–29.7)	0.003	32
4th quartile	12.87 (6.30–26.3)	<0.0001	226	17.3 (8.07–37.0)	<0.0001	226	36.4 (14.7–90.2)	<0.0001	193	94.9 (22.0–408)	<0.0001	66
	P _trend	<0.0001			P _trend	<0.0001		P _trend	<0.0001		P _trend	<0.0001

^a294 cases and 135 controls.

^bAdjusted for age at diagnosis and race/ethnicity.

^cAdjusted for age at diagnosis, race/ethnicity and smoking status.

^dAdjusted for age at diagnosis, race/ethnicity, smoking status and plasma IFNγ and IP10.

^eHERV-K gag levels were dichotomized using the median expression in the control population.

^fHERV-K gag levels were divided into quartiles based on HERV-K gag quartile distribution in the control population.