Title |
Metabolic Switch in the Tumor Microenvironment Determines Immune Responses to Anti-cancer Therapy
|
---|---|
Published in |
Frontiers in oncology, August 2018
|
DOI | 10.3389/fonc.2018.00284 |
Pubmed ID | |
Authors |
Barbara Wegiel, Marta Vuerich, Saeed Daneshmandi, Pankaj Seth |
Abstract |
Tumor-induced immune tolerance permits growth and spread of malignant cells. Cancer cells have strong influence on surrounding cells and shape the hypoxic tumor microenvironment (TME) facilitating cancer progression. A dynamic change in glucose metabolism occurring in cancer cells and its influence on the TME are still poorly understood. Indeed, cancer and/or immune cells undergo rapid adaptation in metabolic pathways during cancer progression. Metabolic reprograming affects macrophages, T cells, and myeloid derived suppressor cells (MDSCs) among other immune cells. Their role in the TME depends on a nature and concentration of factors, such as cytokines, reactive oxygen species (ROS), growth factors, and most importantly, diffusible metabolites (i.e., lactate). Further, the amounts of available nutrients and oxygen as well as activity of microbiota may influence metabolic pathways in the TME. The roles of metabolites in regulating of the interaction between immune and cancer cell are highlighted in this review. Targeting metabolic reprogramming or signaling pathways controlling cell metabolism in the TME might be a potential strategy for anti-cancer therapy alone or in combination with current immunotherapies. |
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Country | Count | As % |
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United Kingdom | 1 | 20% |
United States | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 111 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 17 | 15% |
Student > Ph. D. Student | 16 | 14% |
Student > Master | 14 | 13% |
Student > Bachelor | 11 | 10% |
Student > Doctoral Student | 6 | 5% |
Other | 15 | 14% |
Unknown | 32 | 29% |
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Agricultural and Biological Sciences | 10 | 9% |
Immunology and Microbiology | 9 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 2% |
Other | 9 | 8% |
Unknown | 37 | 33% |