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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Bibliographic Details
Published in:International journal of molecular sciences 2023-09, Vol.24 (19), p.14516
Main Author: Smieja, Jaroslaw
Format: Article
Language:English
Subjects:
Ablation
Antimitotic agents
Antineoplastic agents
Cancer
Cancer therapies
Care and treatment
Cell cycle
Chemotherapy
Drug dosages
Humans
Immunotherapy
Lung cancer
Lung Neoplasms - drug therapy
Mathematical models
Medical prognosis
Models, Theoretical
Molecular biology
Oncology
Precision medicine
Radiation therapy
Review
Signal Transduction
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Summary: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.
ISSN:1422-0067
1661-6596
1422-0067
DOI:10.3390/ijms241914516