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NCT02924753UNKNOWNanonymous

The Safety and Efficacy of CART-19 Cells in Relapse and Refractory Patients With CD19+ B-cell Acute Lymphoblastic Leukemia.

Sponsor

Source record

Henan Cancer Hospital

Phase

Source record

Phase 1

Modality

AI-normalized

small molecule

Target

AI-normalized

CD19+ B-cell Acute Lymphoblastic Leukemia

Indication / condition

AI-normalized

B-cell Acute Lymphoblastic Leukemia

Intervention

Source record

Cyclophosphamide, Fludarabine, CART-19 cells

Source & freshness

Source record

NCT ID

NCT02924753

Original source

ClinicalTrials.gov

Source last updated

Dec 29, 2017

Ingested at

Jun 17, 2026

Internal sync

Jun 17, 2026

Model version

trialsignal-ai-v1

Normalized confidence

96%

Validation status

validated

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NCT ID

NCT02924753

Title

The Safety and Efficacy of CART-19 Cells in Relapse and Refractory Patients With CD19+ B-cell Acute Lymphoblastic Leukemia.

Sponsor

Henan Cancer Hospital

Status

UNKNOWN

Phase

Phase 1

Condition raw

B-cell Acute Lymphoblastic Leukemia

Condition normalized

B-cell Acute Lymphoblastic Leukemia

Modality raw

small molecule

Modality normalized

small molecule

Target raw

CD19+ B-cell Acute Lymphoblastic Leukemia

Target normalized

CD19+ B-cell Acute Lymphoblastic Leukemia

Interventions

Cyclophosphamide, Fludarabine, CART-19 cells

Public preview

Source record

The CART-19 cell therapy is positioned to address a significant unmet need in the treatment of relapsed and refractory CD19+ B-cell Acute Lymphoblastic Leukemia (B-ALL), particularly in pediatric and young adult populations. Given the high incidence of B-ALL and the limitations of current treatment options, this therapy could capture a substantial market share if proven safe and effective. The collaboration with The Beijing Pregene Science and Technology Company, Ltd. may enhance the development and commercialization potential. However, the competitive landscape includes established CAR-T therapies such as Kymriah (tisagenlecleucel) and Yescarta (axicabtagene ciloleucel), necessitating a strong differentiation strategy. Diligence should focus on regulatory pathways, reimbursement scenarios, and potential partnerships for broader market access.

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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