Predictive Blood-Based Biomarkers in Patients with Epithelial Ovarian Cancer Treated with Carboplatin and Paclitaxel with or without Bevacizumab: Results from GOG-0218

Kirsten Bell Burdett & Keiichi Fujiwara et al. · 2020-01-09

Abstract

Purpose:

GOG-0218, a double-blind placebo-controlled phase III trial, compared carboplatin and paclitaxel with placebo, bevacizumab followed by placebo, or bevacizumab followed by bevacizumab in advanced epithelial ovarian cancer (EOC). Results demonstrated significantly improved progression-free survival (PFS), but no overall survival (OS) benefit with bevacizumab. Blood samples were collected for biomarker analyses.

Experimental Design:

Plasma samples were analyzed via multiplex ELISA technology for seven prespecified biomarkers [IL6, Ang-2, osteopontin (OPN), stromal cell–derived factor-1 (SDF-1), VEGF-D, IL6 receptor (IL6R), and GP130]. The predictive value of each biomarker with respect to PFS and OS was assessed using a protein marker by treatment interaction term within the framework of a Cox proportional hazards model. Prognostic markers were identified using Cox models adjusted for baseline covariates.

Results:

Baseline samples were available from 751 patients. According to our prespecified analysis plan, IL6 was predictive of a therapeutic advantage with bevacizumab for PFS (P = 0.007) and OS (P = 0.003). IL6 and OPN were found to be negative prognostic markers for both PFS and OS (P < 0.001). Patients with high median IL6 levels (dichotomized at the median) treated with bevacizumab had longer PFS (14.2 vs. 8.7 months) and OS (39.6 vs. 33.1 months) compared with placebo.

Conclusions:

The inflammatory cytokine IL6 may be predictive of therapeutic benefit from bevacizumab when combined with carboplatin and paclitaxel. Aligning with results observed in patients with renal cancer treated with antiangiogenic therapies, it appears plasma IL6 may also define those patients with EOC more or less likely to benefit from the addition of bevacizumab to standard chemotherapy.

Funding
NRG Oncology Network Group Operations CenterGynecologic Oncology Group Specimen BankingGynecologic Oncology GroupNetwork Lead Academic Participating Site Grant from the Roswell Park Cancer InstituteStatistical Methods for Cancer Clinical TrialsData Management CoreBlood-based Angiome Profiling to Direct Bevacizumab Therapy in Ovarian CancerNRG Oncology NCORP Research BaseOSU as a Network Lead Academic Participating Site for the NCI NCTNA Lead Academic Participating Site in Oklahoma for the Design and Conduct of NCTN Clinical TrialsGYNECOLOGIC ONCOLOGY GROUP STATISTICAL AND DATA CENTERNRG Oncology Biospecimen BankStrengthening LMIC Institutional Capacity for Direct NIH Grant Administration through the East Africa Cancer CollaborationNIH NCI Grant R21 5R21CA185730Gynecologic Oncology GroupNIH NCI Grant CA37517Gynecologic Oncology Group Specimen BankingData Management CoreNRG Oncology NCORP Research BaseNRG Oncology Network Group Operations CenterNRG Oncology Biospecimen BankStatistical Methods for Cancer Clinical TrialsGynecologic Oncology Group Specimen Banking

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U10 CA180868

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U24 CA114793

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U10 CA027469

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UG1 CA233191

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P01 CA142538

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U10 CA180822

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R21 CA185730

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UG1 CA189867

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UG1 CA233331

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UG1 CA233193

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U10 CA037517

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U24 CA196067

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P30 CA014236

NIH NCI

U10 CA027469

NIH NCI

CA114793

NIH NCI

U10CA180822

NIH NCI

UG1CA189867

NIH NCI

U10CA180868

NIH NCI

CA196067

NIH NCI

P01CA142538

NIH NCI

U24 CA114793