CAR-T Cells: A Systematic Review and Mixed Methods Analysis of the Clinical Trial Landscape
| Autor: | James R. Smith, David Brindley, Georg A. Holländer, Zeeshaan Arshad, David Pettitt, Tijana Stanic |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
medicine.medical_specialty T-Lymphocytes Receptors Antigen T-Cell MEDLINE Review Disease Immunotherapy Adoptive Mixed methods analysis Cell therapy 03 medical and health sciences 0302 clinical medicine Neoplasms Drug Discovery Genetics Humans Medicine Intensive care medicine Molecular Biology Pharmacology Clinical Trials as Topic Receptors Chimeric Antigen business.industry Translational medicine Cancer medicine.disease Clinical trial Treatment Outcome 030104 developmental biology Molecular Medicine Car t cells business 030215 immunology |
| Zdroj: | Molecular Therapy. 26:342-353 |
| ISSN: | 1525-0016 |
| DOI: | 10.1016/j.ymthe.2017.10.019 |
| Popis: | CAR-T cells are a promising new therapy that offer significant advantages compared with conventional immunotherapies. This systematic review and clinical trial landscape identifies and critiques published CAR-T cell clinical trials and examines the critical factors required to enable CAR-T cells to become a standard therapy. A review of the literature was conducted to identify suitable studies from the MEDLINE and Ovid bibliographic databases. The literature and database searches identified 20 studies for inclusion. The average number of participants per clinical trial examined was 11 patients. All studies included in this systematic review investigated CAR-T cells and were prospective, uncontrolled clinical studies. Leukemia is the most common cancer subtype and accounts for 57.4% (n = 120) of disease indications. The majority of studies used an autologous cell source (85%, n = 17) rather than an allogeneic cell source. Translational challenges encompass technical considerations relating to CAR-T cell development, manufacturing practicability, clinical trial approaches, CAR-T cell quality and persistence, and patient management. |
| Databáze: | OpenAIRE |
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