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NCT03890952COMPLETEDanonymous

A Phase II Open Label, Two-armed Translational Study of Nivolumab in Combination With Bevacizumab for Recurrent Glioblastoma

Sponsor

Source record

Ulrik Lassen

Phase

Source record

Phase 2

Modality

AI-normalized

combination therapy

Target

AI-normalized

PD-1 pathway modulation and angiogenesis inhibition via Nivolumab and Bevacizumab.

Indication / condition

AI-normalized

Recurrent Adult Brain Tumor

Intervention

Source record

Nivolumab, Bevacizumab

Source & freshness

Source record

NCT ID

NCT03890952

Original source

ClinicalTrials.gov

Source last updated

Jul 24, 2025

Ingested at

Jun 12, 2026

Internal sync

Jun 12, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

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NCT ID

NCT03890952

Title

A Phase II Open Label, Two-armed Translational Study of Nivolumab in Combination With Bevacizumab for Recurrent Glioblastoma

Sponsor

Ulrik Lassen

Status

COMPLETED

Phase

Phase 2

Condition raw

Recurrent Adult Brain Tumor

Condition normalized

Recurrent Adult Brain Tumor

Modality raw

combination therapy

Modality normalized

combination therapy

Target raw

PD-1 pathway modulation and angiogenesis inhibition via Nivolumab and Bevacizumab.

Target normalized

PD-1 pathway modulation and angiogenesis inhibition via Nivolumab and Bevacizumab.

Interventions

Nivolumab, Bevacizumab

Public preview

Source record

This Phase II study investigates the combination of Nivolumab, a PD-1 inhibitor, and Bevacizumab, an angiogenesis inhibitor, in patients with recurrent glioblastoma (GBM). The market for glioblastoma treatments is significant, with a high unmet need for effective therapies due to the aggressive nature of the disease and poor prognosis. The combination therapy aims to enhance anti-tumor activity by leveraging immune modulation and vascular normalization. Competitive implications include potential differentiation from existing therapies, particularly in biomarker-driven patient selection. Diligence considerations should focus on the safety profile, efficacy data, and the potential for subsequent regulatory approvals based on the outcomes of this trial.

AI-generated analysis supports research triage only. Verify source records, publications, sponsor disclosures and IP databases before making diligence decisions. Model: trialsignal-ai-v1.

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