Table 4.

ORs and 95% CIs for the association between circulating levels of inflammation markers and ovarian cancer risk

CytokineContinuousCohort-specific quartiles a
OR (95% CI) for a doubling in marker levelP for trend1234P for trend
IL-1β
 Unadjusted b1.08 (1.00, 1.17)0.061.0 (ref)1.67 (1.06, 2.65)1.32 (0.83, 2.10)1.45 (0.92, 2.28)0.21
 Multivariate c1.07 (0.99, 1.17)0.091.0 (ref)1.72 (1.08, 2.74)1.29 (0.80, 2.06)1.49 (0.94, 2.35)0.20
IL-2
 Unadjusted b1.03 (0.98, 1.10)0.251.0 (ref)1.29 (0.82, 2.05)1.33 (0.84, 2.12)1.60 (1.01, 2.55)0.05
 Multivariate c1.03 (0.97, 1.09)0.321.0 (ref)1.30 (0.82, 2.06)1.32 (0.82, 2.11)1.57 (0.98, 2.52)0.07
IL-4
 Unadjusted b1.06 (1.01, 1.11)0.021.0 (ref)1.21 (0.76, 1.92)1.38 (0.87, 2.20)1.57 (0.99, 2.47)0.04
 Multivariate c1.08 (1.02, 1.13)0.011.0 (ref)1.17 (0.73, 1.88)1.40 (0.88, 2.24)1.50 (0.95, 2.38)0.06
IL-5
 Unadjusted b1.02 (0.97, 1.07)0.491.0 (ref)1.02 (0.65, 1.60)1.54 (0.98, 2.41)1.24 (0.79, 1.93)0.16
 Multivariate c1.03 (0.98, 1.08)0.301.0 (ref)1.00 (0.63, 1.57)1.55 (0.99, 2.43)1.23 (0.79, 1.92)0.16
IL-6
 Unadjusted b1.09 (1.02, 1.17)0.021.0 (ref)1.22 (0.77, 1.94)1.33 (0.84, 2.09)1.64 (1.04, 2.58)0.03
 Multivariate c1.10 (1.02, 1.19)0.011.0 (ref)1.22 (0.77, 1.95)1.37 (0.86, 2.17)1.63 (1.03, 2.58)0.03
IL-10
 Unadjusted b1.07 (0.97, 1.17)0.181.0 (ref)1.10 (0.70, 1.73)0.96 (0.60, 1.53)1.54 (0.96, 2.47)0.14
 Multivariate c1.08 (0.98, 1.19)0.141.0 (ref)1.09 (0.69, 1.72)0.96 (0.60, 1.54)1.54 (0.96, 2.49)0.14
IL-12p40
 Unadjusted b1.19 (1.01, 1.39)0.031.0 (ref)1.21 (0.78, 1.89)1.12 (0.71, 1.78)1.46 (0.95, 2.26)0.12
 Multivariate c1.24 (1.05, 1.48)0.011.0 (ref)1.30 (0.82, 2.03)1.18 (0.74, 1.87)1.60 (1.02, 2.51)0.06
IL-12p70
 Unadjusted b1.07 (1.02, 1.12)0.011.0 (ref)1.59 (1.06, 2.39)1.27 (0.86, 1.88)N/A0.12
 Multivariate c1.08 (1.02, 1.13)0.011.0 (ref)1.53 (1.02, 2.32)1.28 (0.86, 1.90)N/A0.12
IL-13
 Unadjusted b1.05 (1.01, 1.11)0.061.0 (ref)1.14 (0.72, 1.80)1.27 (0.80, 2.01)1.50 (0.95, 2.37)0.07
 Multivariate c1.06 (1.01, 1.13)0.041.0 (ref)1.07 (0.68, 1.70)1.23 (0.77, 1.95)1.42 (0.90, 2.26)0.11
TNFα
 Unadjusted b1.11 (0.92, 1.35)0.281.0 (ref)0.75 (0.48, 1.18)1.05 (0.67, 1.64)1.11 (0.70, 1.75)0.54
 Multivariate c1.19 (0.96, 1.47)0.111.0 (ref)0.77 (0.49, 1.21)1.12 (0.70, 1.78)1.23 (0.77, 1.97)0.31
IL-1Ra
 Unadjusted b1.02 (0.96, 1.09)0.561.0 (ref)0.80 (0.49, 1.32)0.71 (0.44, 1.14)0.95 (0.61, 1.49)0.76
 Multivariate c1.03 (0.97, 1.11)0.311.0 (ref)0.82 (0.50, 1.36)0.73 (0.45, 1.18)1.00 (0.64, 1.57)0.91
sIL-1Rll
 Unadjusted b0.90 (0.70, 1.15)0.391.0 (ref)0.98 (0.62, 1.56)1.16 (0.75, 1.80)0.79 (0.49, 1.28)0.55
 Multivariate c0.91 (0.70, 1.19)0.491.0 (ref)1.02 (0.64, 1.63)1.24 (0.79, 1.94)0.81 (0.50, 1.32)0.66
sIL-2Ra
 Unadjusted b1.24 (0.94, 1.64)0.131.0 (ref)1.19 (0.73, 1.94)1.23 (0.76, 1.99)1.30 (0.79, 2.15)0.31
 Multivariate c1.24 (0.93, 1.67)0.151.0 (ref)1.19 (0.73, 1.94)1.30 (0.80, 2.12)1.35 (0.81, 2.23)0.22
sIL-4R
 Unadjusted b1.26 (0.93, 1.70)0.141.0 (ref)0.94 (0.60, 1.48)0.83 (0.52, 1.32)1.24 (0.78, 1.97)0.49
 Multivariate c1.29 (0.93, 1.78)0.121.0 (ref)0.94 (0.60, 1.48)0.84 (0.53, 1.33)1.19 (0.74, 1.89)0.60
sIL-6R
 Unadjusted b0.86 (0.70, 1.05)0.141.0 (ref)0.83 (0.53, 1.30)0.98 (0.62, 1.54)0.63 (0.39, 1.01)0.12
 Multivariate c0.86 (0.69, 1.06)0.161.0 (ref)0.81 (0.51, 1.27)0.97 (0.61, 1.52)0.62 (0.38, 1.01)0.12
sTNF-R1
 Unadjusted b1.11 (0.85, 1.44)0.451.0 (ref)0.95 (0.60, 1.51)1.14 (0.72, 1.81)1.17 (0.73, 1.87)0.40
 Multivariate c1.23 (0.92, 1.63)0.171.0 (ref)1.00 (0.63, 1.58)1.21 (0.76, 1.94)1.26 (0.78, 2.02)0.26
sTNF-R2
 Unadjusted b0.97 (0.77, 1.23)0.831.0 (ref)1.25 (0.80, 1.94)1.24 (0.78, 1.94)0.92 (0.57, 1.48)0.81
 Multivariate c1.02 (0.80, 1.31)0.851.0 (ref)1.28 (0.82, 2.01)1.28 (0.81, 2.03)0.94 (0.58, 1.51)0.87
  • aQuantile cut points were selected on the basis of the distribution of values in the controls, independently for each cohort; P for trend estimated by entering the cytokine quantiles as an ordinal variable (1, 2, 3, 4) into the conditional logistic regression models.

  • bORs from conditional logistic regression models, which controls for matching factors (age, cohort, and menopausal status) only.

  • cORs from conditional logistic regression models, which not only controls for matching factors but is also adjusted for ever pregnant, ever use of OCs, and BMI. Missing values for ever pregnant, ever use of OCs, and BMI were imputed using the proportion/distribution of the controls separately for each cohort.