Mathematics of cancer metabolism
Normal cells obtain their energy by oxidation of glucose. Cancer cells use a less efficient way instead: glycolysis, even in the presence of oxygen. Although inefficient, this provides biomass for the synthesis of new cells. However, tumors are intricate metabolic entities with a variety of nutrients and oxygen being used in different possible ways and with a complex interplay of many tumor cell subpopulations (and normal cells). We use mathematical models to better understand the interplay of the different nutrients, cellular pathways, and tumor cell subpopulations to find vulnerabilities in cancer cells.
Publications
-
Metabolic Activity Grows in Human Cancers Pushed by Phenotypic VariabilityJ.J. Bosque, G.F. Calvo, D. Molina-García, J. Pérez-Beteta, A.M. García Vicente, V. M. Pérez-GarcíaiScience 26(3) 106118 (2023)
-
SUVmax to tumor perimeter distance: a robust radiomics prognostic biomarker in resectable non-small cell lung cancer patientsG. A. Jiménez-Londoño, A. M. García Vicente, J. J. Bosque, M. Amo-Salas, J. Pérez-Beteta, A. F. Honguero-Martinez, V. M. Pérez-García, A. M. SorianoEuropean Radiology 32, 3889-3902 (2022)
-
Evolutionary dynamics at the tumor edge reveals metabolic imaging biomarkersJ. Jiménez-Sánchez, J.J. Bosque, G.A. Jiménez-Londoño, D. Molina-García, A. Martínez-Rubio, J. Pérez-Beteta, C. Ortega-Sabater, A.F Honguero-Martínez, A.M. García-Vicente, G.F. Calvo, V.M. Pérez-GarcíaProceedings of the National Academy of Sciences (USA) 118(6) e2018110118 (2021).
-
Mitochondria transfer from tumor-activated stromal cells (TASCs) to primary Glioblastoma cells.C. Salaud, A. Alvarez-Arenas Alcami, F. Geraldo, J. Belmonte-Beitia, G.F. Calvo, C. Gratas, C. Pecqueur, D. Garnier, V.M. Pérez- García, F.M. Vallette, L. OliverBiochemical and Biophysical Research Communications 533(1) 139-147 (2020)
-
Universal scaling laws rule explosive growth in human cancersV.M. Pérez-García, G.F. Calvo, J.J. Bosque, O. León-Triana, J. Jiménez-Sánchez, J. Pérez-Beteta, J. Belmonte-Beitia, M. Valiente, L. Zhu, P. García-Gómez, P. Sánchez-Gómez, E. Hernández, R. Hortigüela, Y. Azimzade, D. Molina-García, A.Martínez-Rubio, A. Acosta, A. Ortiz de Mendivil, F. Vallette, P. Schucht, M. Murek, M.Pérez-Cano, D.Albillo, AF Honguero, G.A. Jiménez, E. Arana, AM García-VicenteNature Physics 16, 1232-1237 (2020)
-
Glucose-lactate metabolic cooperation in glioma tumours: insights from a spatial mathematical model and implications for targeted therapyJ.B. McGillen, C.J. Kelly, A. Martínez-González, N.K. Martin, E.A. Gaffney, P.K. Maini, V.M. Pérez-GarcíaJournal of Theoretical Biology 361, 190-203 (2014)
-
A Mathematical model for the glucose-lactate metabolism of in-vitro cancer cellsB. Mendoza-Juez, A. Martínez-González, G.F. Calvo, V.M. Pérez-GarcíaBulletin of Mathematical Biology, 74(5), 1125-1142 (2012).
Projects
-
James S. Mc. Donnell Foundation (USA) (2011 - 2012)
-
Ministerio de Economía y Competitividad (2013 - 2015)
-
Ministerio de Economía y Competitividad (2016 - 2019)
-
Ministerio de Ciencia e Innovación (Spain) (2020 - 2023)
Collaborators
Mathematical modeling of tumour metabolism will be developed in collaboration with Philip Maini (University of Oxford, UK). Ana M. García Vicente, head of the Nuclear Medicine Unit Hospital General Universitario de Toledo will advise us with everything related to metabolic PET imaging.