Title |
It’s a long way to the top (if you want to personalize immunotherapy)
|
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Published in |
Journal for Immunotherapy of Cancer, January 2017
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DOI | 10.1186/s40425-016-0207-0 |
Pubmed ID | |
Authors |
Sarah Haebe, Oliver Weigert |
Abstract |
Harnessing the immune system to attack tumor cells by targeting tumor-associated or -preferably- tumor-specific antigens has emerged as a promising but challenging treatment option for malignant lymphomas. Follicular lymphoma is among the most common lymphomas worldwide and remains incurable for most patients. Considered to be an immunogenic disease it represents an interesting disease entity for various immunotherapeutic approaches. In an article published in the May issue of Clinical Cancer Research, Nielsen and colleagues provided important proof-of-principle data on the immunogenicity of follicular lymphoma that might represent a first step towards personalized adoptive immunotherapies in this disease. The authors combined targeted next-generation sequencing and in silico analyses to explore the concept of somatic neoepitope prediction. Neoantigen-specific CD8(+) T-cells could be identified in a small subset of patients selected for in vitro immunogenicity experiments, however at remarkably low frequencies and in only a few patients at single time-points. Of note, the immunogenic neoepitopes were derived from mutant CREBBP and MEF2B, two genes that have previously been shown to be functionally and prognostically relevant in this disease. In this commentary we discuss the promises but also the challenges of how to translate these findings into clinical practice. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 8 | 40% |
Professor | 3 | 15% |
Student > Bachelor | 2 | 10% |
Professor > Associate Professor | 2 | 10% |
Student > Master | 1 | 5% |
Other | 3 | 15% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 7 | 35% |
Medicine and Dentistry | 4 | 20% |
Immunology and Microbiology | 4 | 20% |
Agricultural and Biological Sciences | 2 | 10% |
Business, Management and Accounting | 1 | 5% |
Other | 2 | 10% |