Title |
Combinatorial immunotherapy of sorafenib and blockade of programmed death-ligand 1 induces effective natural killer cell responses against hepatocellular carcinoma
|
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Published in |
Tumor Biology, November 2014
|
DOI | 10.1007/s13277-014-2722-2 |
Pubmed ID | |
Authors |
Yun Wang, Hongxia Li, Qi Liang, Bin Liu, Xiaqi Mei, Yingji Ma |
Abstract |
Sorafenib, a multi-tyrosine kinase inhibitor, is a standard treatment for advanced hepatocellular carcinoma (HCC). Herein, we report that the combinatorial therapy of sorafenib and anti-programmed death-ligand 1 (PD-L1) monoclonal antibody (mAb) can be implemented with good results for HCC. Cancer mouse models were used to evaluate therapeutic efficacy and examine the immunologic mechanisms of the sorafenib/anti-PD-L1 mAb therapy. The combined administration of sorafenib and anti-PD-L1 mAb into tumor-bearing mice generated potent immune responses resulting in the complete eradication or remarkable reduction of tumor growth. In some instances, the sorafenib/anti-PD-L1 mAb therapy induced long-lasting protection against tumor rechallenges. The results indicate that NK cells but not CD4T cells or CD8 cells mediated the therapeutic efficacy of this combinatorial therapy. The overall results suggest that immunotherapy consisting of the combination of sorafenib/anti-PD-L1 mAb could be a promising new approach for treating patients with HCC. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Russia | 1 | 20% |
United States | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 60% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Scientists | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Iran, Islamic Republic of | 1 | 4% |
Unknown | 24 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 6 | 24% |
Student > Ph. D. Student | 5 | 20% |
Student > Doctoral Student | 2 | 8% |
Student > Postgraduate | 2 | 8% |
Professor > Associate Professor | 2 | 8% |
Other | 5 | 20% |
Unknown | 3 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 32% |
Biochemistry, Genetics and Molecular Biology | 5 | 20% |
Psychology | 3 | 12% |
Agricultural and Biological Sciences | 2 | 8% |
Arts and Humanities | 1 | 4% |
Other | 2 | 8% |
Unknown | 4 | 16% |