Universidad de Málaga, Andalucía Tech, Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, IBIMA (Biomedical Research Institute of Málaga), E-29071 Málaga, Spain; CIBER de Enfermedades Raras (CIBERER), E-29071, Málaga, Spain.
Crit Rev Oncol Hematol. 2018 Apr;124:37-40. doi: 10.1016/j.critrevonc.2018.02.004. Epub 2018 Feb 7.
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.
需要并采用系统方法来研究癌症这一非常复杂的问题。建模在这些系统方法中占据核心地位。代谢重编程如今被认为是癌症的一个基本标志。数学建模有助于更好地理解癌症代谢重编程,并确定新的潜在治疗干预方法。在此,我回顾了代谢建模的几种替代方法及其在肿瘤学中的当前和未来影响。