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NCT05123209UNKNOWNanonymous

Safety and Efficacy Evaluation of IM83 CAR-T Cells for Patients Wirh Advanced Liver Tumors

Sponsor

Source record

Beijing Immunochina Medical Science & Technology Co., Ltd.

Phase

Source record

Phase 1

Modality

AI-normalized

cell therapy

Target

AI-normalized

GPC3 antigen

Indication / condition

AI-normalized

Liver Cancer

Intervention

Source record

IM83 CAR-T cells, The second-line treatment of liver cancer

Source & freshness

Source record

NCT ID

NCT05123209

Original source

ClinicalTrials.gov

Source last updated

Nov 17, 2021

Ingested at

Jun 12, 2026

Internal sync

Jun 12, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

Open original registry record
View original source fields

NCT ID

NCT05123209

Title

Safety and Efficacy Evaluation of IM83 CAR-T Cells for Patients Wirh Advanced Liver Tumors

Sponsor

Beijing Immunochina Medical Science & Technology Co., Ltd.

Status

UNKNOWN

Phase

Phase 1

Condition raw

Liver Cancer

Condition normalized

Liver Cancer

Modality raw

cell therapy

Modality normalized

cell therapy

Target raw

GPC3 antigen

Target normalized

GPC3 antigen

Interventions

IM83 CAR-T cells, The second-line treatment of liver cancer

Public preview

Source record

The IM83 CAR-T cell therapy, targeting GPC3 antigen, is positioned to address a significant unmet need in advanced hepatocellular carcinoma (HCC), particularly in patients who have failed first-line treatments. The market for liver cancer therapies is growing, driven by increasing incidence rates and a lack of effective second-line options. Given the specificity of the GPC3 target, IM83 may offer a competitive edge over existing therapies, particularly in the CAR-T space. However, the asset's success will depend on the outcomes of the ongoing trial and the competitive landscape, which includes other CAR-T therapies and novel systemic treatments for liver cancer.

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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