Theoretical Modeling Techniques and Their Impact on Tumor Immunology
Currently, cancer is one of the leading causes of death in industrial nations. While conventional cancer treatment usually results in the patient suffering from severe side effects, immunotherapy is a promising alternative. Nevertheless, some questions remain unanswered with regard to using immunoth...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2010-01-01
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| Series: | Clinical and Developmental Immunology |
| Online Access: | http://dx.doi.org/10.1155/2010/271794 |
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| _version_ | 1832547429797330944 |
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| author | Anna Lena Woelke Manuela S. Murgueitio Robert Preissner |
| author_facet | Anna Lena Woelke Manuela S. Murgueitio Robert Preissner |
| author_sort | Anna Lena Woelke |
| collection | DOAJ |
| description | Currently, cancer is one of the leading causes of death in industrial nations. While conventional cancer treatment usually results in the patient suffering from severe side effects, immunotherapy is a promising alternative. Nevertheless, some questions remain unanswered with regard to using immunotherapy to treat cancer hindering it from being widely established. To help rectify this deficit in knowledge, experimental data, accumulated from a huge number of different studies, can be integrated into theoretical models of the tumor-immune system interaction. Many complex mechanisms in immunology and oncology cannot be measured in experiments, but can be analyzed by mathematical simulations. Using theoretical modeling techniques, general principles of tumor-immune system interactions can be explored and clinical treatment schedules optimized to lower both tumor burden and side effects. In this paper, we aim to explain the main mathematical and computational modeling techniques used in tumor immunology to experimental researchers and clinicians. In addition, we review relevant published work and provide an overview of its impact to the field. |
| format | Article |
| id | doaj-art-532082d83763449cb000cdefda0b5f68 |
| institution | Kabale University |
| issn | 1740-2522 1740-2530 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Clinical and Developmental Immunology |
| spelling | doaj-art-532082d83763449cb000cdefda0b5f682025-02-03T06:44:41ZengWileyClinical and Developmental Immunology1740-25221740-25302010-01-01201010.1155/2010/271794271794Theoretical Modeling Techniques and Their Impact on Tumor ImmunologyAnna Lena Woelke0Manuela S. Murgueitio1Robert Preissner2Structural Bioinformatics Group, Institute for Physiology, Charité - Universitätsmedizin Berlin, Lindenberger Weg 80, 13125 Berlin, GermanyStructural Bioinformatics Group, Institute for Physiology, Charité - Universitätsmedizin Berlin, Lindenberger Weg 80, 13125 Berlin, GermanyStructural Bioinformatics Group, Institute for Physiology, Charité - Universitätsmedizin Berlin, Lindenberger Weg 80, 13125 Berlin, GermanyCurrently, cancer is one of the leading causes of death in industrial nations. While conventional cancer treatment usually results in the patient suffering from severe side effects, immunotherapy is a promising alternative. Nevertheless, some questions remain unanswered with regard to using immunotherapy to treat cancer hindering it from being widely established. To help rectify this deficit in knowledge, experimental data, accumulated from a huge number of different studies, can be integrated into theoretical models of the tumor-immune system interaction. Many complex mechanisms in immunology and oncology cannot be measured in experiments, but can be analyzed by mathematical simulations. Using theoretical modeling techniques, general principles of tumor-immune system interactions can be explored and clinical treatment schedules optimized to lower both tumor burden and side effects. In this paper, we aim to explain the main mathematical and computational modeling techniques used in tumor immunology to experimental researchers and clinicians. In addition, we review relevant published work and provide an overview of its impact to the field.http://dx.doi.org/10.1155/2010/271794 |
| spellingShingle | Anna Lena Woelke Manuela S. Murgueitio Robert Preissner Theoretical Modeling Techniques and Their Impact on Tumor Immunology Clinical and Developmental Immunology |
| title | Theoretical Modeling Techniques and Their Impact on Tumor Immunology |
| title_full | Theoretical Modeling Techniques and Their Impact on Tumor Immunology |
| title_fullStr | Theoretical Modeling Techniques and Their Impact on Tumor Immunology |
| title_full_unstemmed | Theoretical Modeling Techniques and Their Impact on Tumor Immunology |
| title_short | Theoretical Modeling Techniques and Their Impact on Tumor Immunology |
| title_sort | theoretical modeling techniques and their impact on tumor immunology |
| url | http://dx.doi.org/10.1155/2010/271794 |
| work_keys_str_mv | AT annalenawoelke theoreticalmodelingtechniquesandtheirimpactontumorimmunology AT manuelasmurgueitio theoreticalmodelingtechniquesandtheirimpactontumorimmunology AT robertpreissner theoreticalmodelingtechniquesandtheirimpactontumorimmunology |