Chapter title |
The Role of Tumor Microenvironment in Cancer Immunotherapy
|
---|---|
Chapter number | 4 |
Book title |
Tumor Immune Microenvironment in Cancer Progression and Cancer Therapy
|
Published in |
Advances in experimental medicine and biology, January 2017
|
DOI | 10.1007/978-3-319-67577-0_4 |
Pubmed ID | |
Book ISBNs |
978-3-31-967575-6, 978-3-31-967577-0
|
Authors |
Timothy Frankel, Mirna Perusina Lanfranca, Weiping Zou, Frankel, Timothy, Lanfranca, Mirna Perusina, Zou, Weiping |
Abstract |
The field of tumor immunology and immunotherapy has undergone a renaissance in the past decade do in large part to a better understanding of the tumor immune microenvironment. After suffering countless successes and setbacks in the twentieth century, immunotherapy has now come to the forefront of cancer research and is recognized as an important tool in the anti-tumor armamentarium. The goal of therapy is to aid the immune system in recognition and destruction of tumor cells by enhancing its ability to react to tumor antigens. This traditionally has been accomplished by induction of adaptive immunity through vaccination or through passive delivery of immunologic effectors as in the case of adoptive cell transfer. The recent discovery of immune "checkpoints" whose purpose is to suppress immune activity and prevent auto-immunity has created a new angle by which reactivity to tumors can be enhanced. Blockers of these checkpoints have yielded impressive clinical results and have recently been approved for use in a wide variety of malignancies. With data showing increasing rates of not only treatment response, but complete remissions, immunotherapy is poised to become an increasingly utilized therapy in the treatment of cancer. |
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Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 106 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 21 | 20% |
Student > Master | 13 | 12% |
Student > Doctoral Student | 11 | 10% |
Researcher | 9 | 8% |
Student > Ph. D. Student | 8 | 8% |
Other | 11 | 10% |
Unknown | 33 | 31% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 19 | 18% |
Medicine and Dentistry | 17 | 16% |
Immunology and Microbiology | 12 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
Agricultural and Biological Sciences | 3 | 3% |
Other | 9 | 8% |
Unknown | 41 | 39% |