Literature DB >> 29548484

Mathematical modeling of cancer metabolism.

Miguel Ángel Medina1.   

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.
Copyright © 2018 Elsevier B.V. All rights reserved.

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


  9 in total

Review 1.  Polyamines in mammalian pathophysiology.

Authors:  Francisca Sánchez-Jiménez; Miguel Ángel Medina; Lorena Villalobos-Rueda; José Luis Urdiales
Journal:  Cell Mol Life Sci       Date:  2019-06-21       Impact factor: 9.261

2.  Elucidating cancer metabolic plasticity by coupling gene regulation with metabolic pathways.

Authors:  Dongya Jia; Mingyang Lu; Kwang Hwa Jung; Jun Hyoung Park; Linglin Yu; José N Onuchic; Benny Abraham Kaipparettu; Herbert Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2019-02-07       Impact factor: 11.205

3.  Modeling of Tumor Growth with Input from Patient-Specific Metabolomic Data.

Authors:  Hunter A Miller; John Lowengrub; Hermann B Frieboes
Journal:  Ann Biomed Eng       Date:  2022-01-26       Impact factor: 3.934

4.  High dimensionality reduction by matrix factorization for systems pharmacology.

Authors:  Adel Mehrpooya; Farid Saberi-Movahed; Najmeh Azizizadeh; Mohammad Rezaei-Ravari; Farshad Saberi-Movahed; Mahdi Eftekhari; Iman Tavassoly
Journal:  Brief Bioinform       Date:  2022-01-17       Impact factor: 11.622

5.  Evaluation of Lung Cancer Patient Response to First-Line Chemotherapy by Integration of Tumor Core Biopsy Metabolomics with Multiscale Modeling.

Authors:  Hunter A Miller; Donald M Miller; Victor H van Berkel; Hermann B Frieboes
Journal:  Ann Biomed Eng       Date:  2022-10-12       Impact factor: 4.219

Review 6.  Towards decoding the coupled decision-making of metabolism and epithelial-to-mesenchymal transition in cancer.

Authors:  Dongya Jia; Jun Hyoung Park; Harsimran Kaur; Kwang Hwa Jung; Sukjin Yang; Shubham Tripathi; Madeline Galbraith; Youyuan Deng; Mohit Kumar Jolly; Benny Abraham Kaipparettu; José N Onuchic; Herbert Levine
Journal:  Br J Cancer       Date:  2021-04-15       Impact factor: 9.075

Review 7.  The 2019 mathematical oncology roadmap.

Authors:  Russell C Rockne; Andrea Hawkins-Daarud; Kristin R Swanson; James P Sluka; James A Glazier; Paul Macklin; David A Hormuth; Angela M Jarrett; Ernesto A B F Lima; J Tinsley Oden; George Biros; Thomas E Yankeelov; Kit Curtius; Ibrahim Al Bakir; Dominik Wodarz; Natalia Komarova; Luis Aparicio; Mykola Bordyuh; Raul Rabadan; Stacey D Finley; Heiko Enderling; Jimmy Caudell; Eduardo G Moros; Alexander R A Anderson; Robert A Gatenby; Artem Kaznatcheev; Peter Jeavons; Nikhil Krishnan; Julia Pelesko; Raoul R Wadhwa; Nara Yoon; Daniel Nichol; Andriy Marusyk; Michael Hinczewski; Jacob G Scott
Journal:  Phys Biol       Date:  2019-06-19       Impact factor: 2.959

8.  Integrating a dynamic central metabolism model of cancer cells with a hybrid 3D multiscale model for vascular hepatocellular carcinoma growth.

Authors:  Alexey Lapin; Holger Perfahl; Harsh Vardhan Jain; Matthias Reuss
Journal:  Sci Rep       Date:  2022-07-20       Impact factor: 4.996

9.  Comparison of Predator-Prey Model and Hawk-Dove Game for Modelling Leukemia.

Authors:  Mariam Sultana; Fareeha Sami Khan; M Khalid; Areej A Al-Moneef; Ali Hasan Ali; Omar Bazighifan
Journal:  Comput Intell Neurosci       Date:  2022-09-22
  9 in total

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