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NCT05005468UNKNOWNanonymous

A Phase II Trial of Camrelizumab Combined With Famitinib for Adjuvant Treatment of Stage II-IIIA Non-small Cell Lung Cancer With High-risk for Relapse and no Driver Gene Mutation.

Sponsor

Source record

Shanghai Chest Hospital

Phase

Source record

Phase 2

Modality

AI-normalized

small molecule

Target

AI-normalized

PD-1 (Programmed Cell Death Protein 1) and VEGFR (Vascular Endothelial Growth Factor Receptor)

Indication / condition

AI-normalized

NSCLC

Intervention

Source record

Camrelizumab, Famitinib

Source & freshness

Source record

NCT ID

NCT05005468

Original source

ClinicalTrials.gov

Source last updated

Aug 13, 2021

Ingested at

Jun 13, 2026

Internal sync

Jun 13, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

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NCT ID

NCT05005468

Title

A Phase II Trial of Camrelizumab Combined With Famitinib for Adjuvant Treatment of Stage II-IIIA Non-small Cell Lung Cancer With High-risk for Relapse and no Driver Gene Mutation.

Sponsor

Shanghai Chest Hospital

Status

UNKNOWN

Phase

Phase 2

Condition raw

NSCLC

Condition normalized

NSCLC

Modality raw

small molecule

Modality normalized

small molecule

Target raw

PD-1 (Programmed Cell Death Protein 1) and VEGFR (Vascular Endothelial Growth Factor Receptor)

Target normalized

PD-1 (Programmed Cell Death Protein 1) and VEGFR (Vascular Endothelial Growth Factor Receptor)

Interventions

Camrelizumab, Famitinib

Public preview

Source record

The trial investigates the combination of Camrelizumab, a PD-1 inhibitor, and Famitinib, a VEGFR inhibitor, for adjuvant treatment in high-risk stage II-IIIA non-small cell lung cancer (NSCLC) patients without driver gene mutations. This combination therapy aims to leverage the immunomodulatory effects of Camrelizumab alongside the anti-angiogenic properties of Famitinib, potentially enhancing treatment outcomes. The NSCLC market is competitive, with several established therapies; however, the focus on high-risk patients without driver mutations may provide a niche opportunity. Successful outcomes could position the combination as a new standard of care, impacting market dynamics significantly. Diligence should consider existing therapies, market access strategies, and potential partnerships for commercialization.

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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