About this Research Topic
In this research topic we will present the state-of-the-art in integrative cancer modeling (such as theoretical models based on biological or clinical data, and experimental results influenced by underlying mathematical and physical theories) and their applications to cancer biology and treatment. This collection of papers will showcase computational models addressing the most important current challenges in oncology, such as prognostic screening, metrics of tumor cell response to treatment, cancer cell mechanotransduction, cancer stem cell biology, metastatic cascade steps, and reciprocal co-evolution of tumors and their microenvironment. Quantitative and qualitative models included in this topic will discuss tumor initiation, development of pre-invasive tumors, transition from dormancy to malignancy, tumor angiogenesis, tumor cell signaling, complexity of the cellular, physical and chemical structure of the tumor microenvironment, and various models of anticancer treatment: chemo-, radio-, immuno-, hormone and adaptive therapies. This collection could then serve as an encyclopedic resource for the breadth of mathematical and computational techniques that can be applied to tumor modeling, including ordinary and partial differential equations models, individual-cell-based models, hybrid cellular automata models, bio-fluid approaches, game theory approaches, stochastic and multi-scale modeling.
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