Mathematical Modeling Support for Lung Cancer Therapy—A Short Review
The paper presents a review of models that can be used to describe dynamics of lung cancer growth and its response to treatment at both cell population and intracellular processes levels. To address the latter, models of signaling pathways associated with cellular responses to treatment are overview...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | International Journal of Molecular Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1422-0067/24/19/14516 |
| _version_ | 1797575830589669376 |
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| author | Jaroslaw Smieja |
| author_facet | Jaroslaw Smieja |
| author_sort | Jaroslaw Smieja |
| collection | DOAJ |
| description | The paper presents a review of models that can be used to describe dynamics of lung cancer growth and its response to treatment at both cell population and intracellular processes levels. To address the latter, models of signaling pathways associated with cellular responses to treatment are overviewed. First, treatment options for lung cancer are discussed, and main signaling pathways and regulatory networks are briefly reviewed. Then, approaches used to model specific therapies are discussed. Following that, models of intracellular processes that are crucial in responses to therapies are presented. The paper is concluded with a discussion of the applicability of the presented approaches in the context of lung cancer. |
| first_indexed | 2024-03-10T21:43:50Z |
| format | Article |
| id | doaj.art-94273203adb941539a5d42cf9ade8a55 |
| institution | Directory Open Access Journal |
| issn | 1661-6596 1422-0067 |
| language | English |
| last_indexed | 2024-03-10T21:43:50Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | International Journal of Molecular Sciences |
| spelling | doaj.art-94273203adb941539a5d42cf9ade8a552023-11-19T14:27:45ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672023-09-0124191451610.3390/ijms241914516Mathematical Modeling Support for Lung Cancer Therapy—A Short ReviewJaroslaw Smieja0Department of Systems Biology and Engineering, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, PolandThe paper presents a review of models that can be used to describe dynamics of lung cancer growth and its response to treatment at both cell population and intracellular processes levels. To address the latter, models of signaling pathways associated with cellular responses to treatment are overviewed. First, treatment options for lung cancer are discussed, and main signaling pathways and regulatory networks are briefly reviewed. Then, approaches used to model specific therapies are discussed. Following that, models of intracellular processes that are crucial in responses to therapies are presented. The paper is concluded with a discussion of the applicability of the presented approaches in the context of lung cancer.https://www.mdpi.com/1422-0067/24/19/14516mathematical modelinglung canceranticancer therapiesmetastasis |
| spellingShingle | Jaroslaw Smieja Mathematical Modeling Support for Lung Cancer Therapy—A Short Review International Journal of Molecular Sciences mathematical modeling lung cancer anticancer therapies metastasis |
| title | Mathematical Modeling Support for Lung Cancer Therapy—A Short Review |
| title_full | Mathematical Modeling Support for Lung Cancer Therapy—A Short Review |
| title_fullStr | Mathematical Modeling Support for Lung Cancer Therapy—A Short Review |
| title_full_unstemmed | Mathematical Modeling Support for Lung Cancer Therapy—A Short Review |
| title_short | Mathematical Modeling Support for Lung Cancer Therapy—A Short Review |
| title_sort | mathematical modeling support for lung cancer therapy a short review |
| topic | mathematical modeling lung cancer anticancer therapies metastasis |
| url | https://www.mdpi.com/1422-0067/24/19/14516 |
| work_keys_str_mv | AT jaroslawsmieja mathematicalmodelingsupportforlungcancertherapyashortreview |