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. Author manuscript; available in PMC: 2017 Dec 1.
Published in final edited form as: Biol Chem. 2016 Dec 1;397(12):1265–1276. doi: 10.1515/hsz-2016-0177

Table 3.

Multivariable Cox regression analysis of clinical outcome in advanced ovarian cancer patients (FIGO III/IV) with respect to clinical parameters and tumor biological factors.

Clinical parameters OS PFS

No.a HR (95% CI)b P No.a HR (95% CI)b P

Age 0.148 0.860
≤ 60 years 37 1 35 1
> 60 years 38 1.55 (0.86-2.82) 34 1.06 (0.57-1.94)

Residual tumor mass 0.001 0.034
0 mm 36 1 35 1
> 0 mm 39 3.56 (1.63-7.78) 34 2.30 (1.06-4.96)

Ascitic fluid volume 0.941 0.382
≤ 500 ml 41 1 39 1
> 500 ml 34 0.97 (0.48-1.98) 30 1.38 (0.67-2.84)

KLK6 mRNA(med)c 0.039 0.539
low 40 1 39 1
high 35 1.85 (1.03-3.31) 30 1.21 (0.66-2.21)

KLK6 mRNA (61st)d 0.005 0.541
low 49 1 48 1
high 26 2.33 (1.29-4.19) 21 1.21 (0.65-2.27)

KLK8 mRNAc 0.756 0.094
low 40 1 37 1
high 35 0.91 (0.50-1.65) 32 1.66 (0.92-3.02)

KLK6+KLK8 mRNAc 0.317 0.113
low 28 1 27 1
high 47 1.40 (0.73-2.68) 42 1.68 (0.89-3.20)
a

Number of patients

b

HR: hazard ratio (CI: confidence interval) of multivariable Cox regression analysis. Biological markers were separately added to the base model of clinical parameters: age, residual tumor mass, and ascitic fluid volume.

c

Dichotomized into high and low levels by the median.

d

Dichotomized into high and low levels by the 61st percentile.