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NCT03867084COMPLETEDanonymous

A Phase 3 Double-blinded, Two-arm Study to Evaluate the Safety and Efficacy of Pembrolizumab (MK-3475) Versus Placebo as Adjuvant Therapy in Participants With Hepatocellular Carcinoma and Complete Radiological Response After Surgical Resection or Local Ablation (KEYNOTE-937)

Sponsor

Source record

Merck Sharp & Dohme LLC

Phase

Source record

Phase 3

Modality

AI-normalized

monoclonal antibody

Target

AI-normalized

Hepatocellular Carcinoma (HCC)

Indication / condition

AI-normalized

Hepatocellular Carcinoma

Intervention

Source record

Pembrolizumab, Placebo

Source & freshness

Source record

NCT ID

NCT03867084

Original source

ClinicalTrials.gov

Source last updated

Apr 24, 2026

Ingested at

May 31, 2026

Internal sync

Jun 05, 2026

Model version

trialsignal-ai-v1

Normalized confidence

88%

Validation status

validated

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View original source fields

NCT ID

NCT03867084

Title

A Phase 3 Double-blinded, Two-arm Study to Evaluate the Safety and Efficacy of Pembrolizumab (MK-3475) Versus Placebo as Adjuvant Therapy in Participants With Hepatocellular Carcinoma and Complete Radiological Response After Surgical Resection or Local Ablation (KEYNOTE-937)

Sponsor

Merck Sharp & Dohme LLC

Status

COMPLETED

Phase

Phase 3

Condition raw

Hepatocellular Carcinoma

Condition normalized

Hepatocellular Carcinoma

Modality raw

Hepatocellular Carcinoma

Modality normalized

monoclonal antibody

Target raw

Hepatocellular Carcinoma (HCC)

Target normalized

Hepatocellular Carcinoma (HCC)

Interventions

Pembrolizumab, Placebo

Public preview

Source record

This clinical trial evaluates the safety and efficacy of pembrolizumab (MK-3475) as adjuvant therapy in patients with HCC who have achieved complete radiological response following surgical resection or local ablation. The study aims to demonstrate superiority in recurrence-free survival (RFS) and overall survival (OS) compared to placebo.

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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