Title |
A new paradigm for tumor immune escape: β-catenin-driven immune exclusion
|
---|---|
Published in |
Journal for Immunotherapy of Cancer, September 2015
|
DOI | 10.1186/s40425-015-0089-6 |
Pubmed ID | |
Authors |
Stefani Spranger, Thomas F. Gajewski |
Abstract |
Increasing evidence is emerging that immunotherapeutic interventions, including checkpoint blockade, are predominantly effective in patients with a pre-existing T cell-inflamed tumor microenvironment. Understanding the mechanisms leading to a non-T cell-inflamed microenvironment are crucial for the development of novel treatment modalities to expand the fraction of patients benefiting from immunotherapy. Based on the hypothesis that one source of inter-patient heterogeneity would lie at differential activation of specific oncogene pathways within the tumor cells themselves, our group recently observed that tumor-cell intrinsic activation of the WNT/β-catenin pathway correlates with absence of T cells from the microenvironment in metastatic melanoma. Genetically-engineered mouse models confirmed a causal relationship, via a mechanism of failed Batf3-lineage dendritic cell recruitment. Hence, tumor cell-intrinsic activation of β-catenin is the first oncogenic pathway demonstrated to exclude the anti-tumor immune response, revealing a potential therapeutic target for improving immunotherapy responsiveness. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 33% |
United Kingdom | 2 | 22% |
Belgium | 1 | 11% |
Unknown | 3 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 33% |
Scientists | 3 | 33% |
Science communicators (journalists, bloggers, editors) | 2 | 22% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
Japan | 1 | <1% |
France | 1 | <1% |
Unknown | 138 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 18% |
Researcher | 24 | 17% |
Student > Master | 15 | 11% |
Other | 13 | 9% |
Student > Bachelor | 9 | 6% |
Other | 28 | 20% |
Unknown | 28 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 31 | 22% |
Biochemistry, Genetics and Molecular Biology | 30 | 21% |
Agricultural and Biological Sciences | 22 | 15% |
Immunology and Microbiology | 11 | 8% |
Engineering | 3 | 2% |
Other | 10 | 7% |
Unknown | 35 | 25% |