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Table 3 Multivariable survival analysis for genotype biomarkers. *G allele. 95%CI 95% confidence interval, HR hazard ratio, RD residual disease, PFS progression-free survival, OS overall survival. In the multivariable analysis, a P-value cut-off of ≤ 0.05 was considered statistically significant. Predictive model, a model exploring if the association between a biomarker and survival are significantly different depending on treatment arms: HR, 95%CI and P-values come from the interaction term. Clinical factors prognostic for PFS/OS were included in the model

From: c-MET/VEGFR-2 co-localisation impacts on survival following bevacizumab therapy in epithelial ovarian cancer: an exploratory biomarker study of the phase 3 ICON7 trial

Covariate name

Predictive model

PFS

OS

HR

95%CI

P-value

HR

95%CI

P-value

Clinical biomarker

 FIGO stage (III/IV vs. I/II)

3.171

2.118–4.747

< 0.001

2.434

1.409–4.205

0.001

 Debulking surgery outcome (≤ 1 cm vs. > 1 cm RD)

0.506

0.394–0.651

< 0.001

0.396

0.274–0.573

< 0.001

Genotype biomarker

 rs2305945 (VEGFR-2)*

0.794

0.961–1.650

0.095

–

–

ns

 Bevacizumab

0.497

0.296–0.833

0.008

–

–

ns

Predictive significance

 rs2305945 (VEGFR-2) in the bevacizumab arm* (interaction)

1.592

1.110–2.284

0.012

–

–

ns