Title |
Anti-GPC3-CAR T Cells Suppress the Growth of Tumor Cells in Patient-Derived Xenografts of Hepatocellular Carcinoma
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Published in |
Frontiers in immunology, January 2017
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DOI | 10.3389/fimmu.2016.00690 |
Pubmed ID | |
Authors |
Zhiwu Jiang, Xiaofeng Jiang, Suimin Chen, Yunxin Lai, Xinru Wei, Baiheng Li, Simiao Lin, Suna Wang, Qiting Wu, Qiubin Liang, Qifa Liu, Muyun Peng, Fenglei Yu, Jianyu Weng, Xin Du, Duanqing Pei, Pentao Liu, Yao Yao, Ping Xue, Peng Li |
Abstract |
The lack of a general clinic-relevant model for human cancer is a major impediment to the acceleration of novel therapeutic approaches for clinical use. We propose to establish and characterize primary human hepatocellular carcinoma (HCC) xenografts that can be used to evaluate the cytotoxicity of adoptive chimeric antigen receptor (CAR) T cells and accelerate the clinical translation of CAR T cells used in HCC. Primary HCCs were used to establish the xenografts. The morphology, immunological markers, and gene expression characteristics of xenografts were detected and compared to those of the corresponding primary tumors. CAR T cells were adoptively transplanted into patient-derived xenograft (PDX) models of HCC. The cytotoxicity of CAR T cells in vivo was evaluated. PDX1, PDX2, and PDX3 were established using primary tumors from three individual HCC patients. All three PDXs maintained original tumor characteristics in their morphology, immunological markers, and gene expression. Tumors in PDX1 grew relatively slower than that in PDX2 and PDX3. Glypican 3 (GPC3)-CAR T cells efficiently suppressed tumor growth in PDX3 and impressively eradicated tumor cells from PDX1 and PDX2, in which GPC3 proteins were highly expressed. GPC3-CAR T cells were capable of effectively eliminating tumors in PDX model of HCC. Therefore, GPC3-CAR T cell therapy is a promising candidate for HCC treatment. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Russia | 2 | 40% |
Comoros | 1 | 20% |
Australia | 1 | 20% |
Switzerland | 1 | 20% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 60% |
Scientists | 1 | 20% |
Unknown | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 1 | <1% |
Unknown | 115 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 21 | 18% |
Student > Ph. D. Student | 17 | 15% |
Student > Master | 15 | 13% |
Student > Bachelor | 11 | 9% |
Other | 9 | 8% |
Other | 9 | 8% |
Unknown | 34 | 29% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 20 | 17% |
Immunology and Microbiology | 16 | 14% |
Agricultural and Biological Sciences | 13 | 11% |
Medicine and Dentistry | 9 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 9 | 8% |
Other | 11 | 9% |
Unknown | 38 | 33% |