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NCT07349836NOT_YET_RECRUITINGanonymous

Application of mRNA Immunotherapy Technology in EB Virus Related Diseases

Sponsor

Source record

Xinqiao Hospital of Chongqing

Phase

Source record

Early Phase 1

Modality

AI-normalized

protein therapy

Target

AI-normalized

EB virus antigens, specifically targeting tumors associated with Epstein-Barr Virus (EBV) such as nasopharyngeal carcinoma and NK/T-cell lymphoma.

Indication / condition

AI-normalized

EBV-associated Tumors

Intervention

Source record

WGc-043 injection, Immune Checkpoint Inhibitors, Standard therapy

Source & freshness

Source record

NCT ID

NCT07349836

Original source

ClinicalTrials.gov

Source last updated

Jan 20, 2026

Ingested at

Jun 16, 2026

Internal sync

Jun 16, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

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NCT ID

NCT07349836

Title

Application of mRNA Immunotherapy Technology in EB Virus Related Diseases

Sponsor

Xinqiao Hospital of Chongqing

Status

NOT_YET_RECRUITING

Phase

Early Phase 1

Condition raw

EBV-associated Tumors

Condition normalized

EBV-associated Tumors

Modality raw

protein therapy

Modality normalized

protein therapy

Target raw

EB virus antigens, specifically targeting tumors associated with Epstein-Barr Virus (EBV) such as nasopharyngeal carcinoma and NK/T-cell lymphoma.

Target normalized

EB virus antigens, specifically targeting tumors associated with Epstein-Barr Virus (EBV) such as nasopharyngeal carcinoma and NK/T-cell lymphoma.

Interventions

WGc-043 injection, Immune Checkpoint Inhibitors, Standard therapy

Public preview

Source record

The mRNA immunotherapy asset, WGc-043, is positioned to address a significant unmet medical need in the treatment of EBV-related tumors, particularly in regions with high incidence rates such as China. The focus on both monotherapy and combination therapy with immune checkpoint inhibitors could enhance its therapeutic potential and market appeal. Given the limited treatment options for EBV-positive tumors, successful outcomes could lead to a competitive advantage in the oncology market. The trial's estimated enrollment of 40 patients indicates a targeted approach, which may facilitate quicker data generation and potential early market entry. However, the non-randomized design and early phase status may limit initial investor confidence until more robust data is available.

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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