| Literature DB >> 29548484 |
Abstract
Systemic approaches are needed and useful for the study of the very complex issue of cancer. Modeling has a central position in these systemic approaches. Metabolic reprogramming is nowadays acknowledged as an essential hallmark of cancer. Mathematical modeling could contribute to a better understanding of cancer metabolic reprogramming and to identify new potential ways of therapeutic intervention. Herein, I review several alternative approaches to metabolic modeling and their current and future impact in oncology.Entities:
Keywords: Cancer; Mathematical model; Metabolism; Systems biology; Tumor microenvironment
Mesh:
Year: 2018 PMID: 29548484 DOI: 10.1016/j.critrevonc.2018.02.004
Source DB: PubMed Journal: Crit Rev Oncol Hematol ISSN: 1040-8428 Impact factor: 6.312