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Table 2 Multivariable survival analysis for immunofluorescence biomarkers. 95%CI 95% confidence interval, HR hazard ratio, 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 factors

 FIGO stage (III/IV vs. I/II)

2.384

1.181–4.815

0.015

1.994

0.893–4.454

0.092

 Debulking surgery outcome (≤ 1 cm vs. > 1 cm residual disease)

0.243

0.147–0.399

< 0.001

0.397

0.227–0.695

0.001

Immunofluorescence biomarker

 c-MET/VEGFR-2 co-localisation (increase of expression)

1.011

1.004–1.018

0.003

1.001

0.995–1.008

0.671

 Bevacizumab arm

–

–

ns

1.116

0.995–1.008

0.669

Predictive significance

 c-MET/VEGFR-2 co-localisation in bevacizumab arm (interaction)

–

–

ns

1.034

1.010–1.059

0.006