Title |
A Novel Method to Generate and Expand Clinical-Grade, Genetically Modified, Tumor-Infiltrating Lymphocytes
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Published in |
Frontiers in immunology, August 2017
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DOI | 10.3389/fimmu.2017.00908 |
Pubmed ID | |
Authors |
Marie-Andrée Forget, René J. Tavera, Cara Haymaker, Renjith Ramachandran, Shuti Malu, Minying Zhang, Seth Wardell, Orenthial J. Fulbright, Chistopher Leroy Toth, Audrey M. Gonzalez, Shawne T. Thorsen, Esteban Flores, Arely Wahl, Weiyi Peng, Rodabe N. Amaria, Patrick Hwu, Chantale Bernatchez |
Abstract |
Following the clinical success achieved with the first generation of adoptive cell therapy (ACT) utilizing in vitro expanded tumor-infiltrating lymphocytes (TILs), the second and third generations of TIL ACT are evolving toward the use of genetically modified TIL. TIL therapy generally involves the transfer of a high number of TIL, ranging from 10(9) to 10(11) cells. One of the technical difficulties in genetically modifying TIL, using a retroviral vector, is the ability to achieve large expansion of transduced TIL, while keeping the technique suitable to a Good Manufacturing Practices (GMP) environment. Consequently, we developed and optimized a novel method for the efficient production of large numbers of GMP-grade, gene-modified TIL for the treatment of patients with ACT. The chemokine receptor CXCR2 was used as the gene of interest for methodology development. The optimized procedure is currently used in the production of gene-modified TIL for two clinical trials for the treatment of metastatic melanoma at MD Anderson Cancer Center. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Russia | 1 | 33% |
Switzerland | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 90 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 21 | 23% |
Student > Ph. D. Student | 11 | 12% |
Student > Master | 8 | 9% |
Other | 6 | 7% |
Student > Bachelor | 5 | 6% |
Other | 9 | 10% |
Unknown | 30 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 19 | 21% |
Biochemistry, Genetics and Molecular Biology | 11 | 12% |
Agricultural and Biological Sciences | 11 | 12% |
Medicine and Dentistry | 8 | 9% |
Chemical Engineering | 2 | 2% |
Other | 9 | 10% |
Unknown | 30 | 33% |