Quantitative modeling to understand cell signaling in the tumor microenvironment
Year: 2021
Type: review
Abstract: Tumor cells play a central role in multiple processes associated with cancer progression. They continuously interact with surrounding cells and the extracellular matrix, displaying various behaviors collectively known as hallmarks of cancer. Considering the complexity of the interactions between cells in the tumor microenvironment (TME), mathematical models of intracellular signaling within the multicellular environment in tumors are useful. In this review, we first give an overview of the TME, motivating the need for mathematical modeling, followed by a presentation of salient models of signaling in tumor cells, immune cells, and stromal cells. We posit that these published models provide exactly the foundation needed to build more comprehensive models that represent the multicellular TME and its rich network of intercellular interactions.
Institution: University of Southern California
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,000
OpenAlex ID: W3164836396
