Current trends in mathematical modeling of tumor-microenvironment interactions: a survey of tools and applications.
In its simplest description, a tumor is comprised of an expanding population of transformed cells supported by a surrounding microenvironment termed the tumor stroma. The tumor microenvironment has a very complex composition, including multiple types of stromal cells, a dense network of various extracellular matrix (ECM) fibers interpenetrated by the interstitial fluid and gradients of several chemical species that either are dissolved in the fluid or are bound to the ECM structure. In order to study experimentally such complex interactions between multiple players, cancer is dissected and considered at different scales of complexity, such as protein interactions, biochemical pathways, cellular functions or whole organism studies. However, the integration of information acquired from these studies into a common description is as difficult as the disease itself. Computational models of cancer can provide cancer researchers with invaluable tools that are capable of integrating the complexity into organizing principles as well as suggesting testable hypotheses. We will focus in this Minireview on mathematical models in which the whole cell is a main modeling unit. We will present a current stage of such cell-focused mathematical modeling incorporating different stromal components and their interactions with growing tumors, and discuss what modeling approaches can be undertaken to complement the in vivo and in vitro experimentation.
Rejniak
Katarzyna A
KA
Integrated Mathematical Oncology, H Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA. Kasia.Rejniak@moffitt.org
McCawley
Lisa J
LJ
D000818:Animals; D002986:Clinical Trials as Topic; D003198:Computer Simulation; D005109:Extracellular Matrix / Q000737:chemistry / Q000378:metabolism / Q000473:pathology; D006801:Humans; D008954:Models, Biological; D009369:Neoplasms / Q000378:metabolism* / Q000473:pathology*; D017154:Stromal Cells / Q000166:cytology / Q000378:metabolism / Q000473:pathology