Literature DB >> 25348062

A validated mathematical model of tumor growth including tumor-host interaction, cell-mediated immune response and chemotherapy.

Alvaro G López1, Jesús M Seoane, Miguel A F Sanjuán.   

Abstract

We consider a dynamical model of cancer growth including three interacting cell populations of tumor cells, healthy host cells and immune effector cells. The tumor-immune and the tumor-host interactions are characterized to reproduce experimental results. A thorough dynamical analysis of the model is carried out, showing its capability to explain theoretical and empirical knowledge about tumor development. A chemotherapy treatment reproducing different experiments is also introduced. We believe that this simple model can serve as a foundation for the development of more complicated and specific cancer models.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25348062     DOI: 10.1007/s11538-014-0037-5

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  9 in total

1.  Dynamics of the cell-mediated immune response to tumour growth.

Authors:  Álvaro G López; Jesús M Seoane; Miguel A F Sanjuán
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-06-28       Impact factor: 4.226

Review 2.  Mathematical modeling of tumor-immune cell interactions.

Authors:  Grace E Mahlbacher; Kara C Reihmer; Hermann B Frieboes
Journal:  J Theor Biol       Date:  2019-03-02       Impact factor: 2.691

3.  Three-dimensional tumor growth in time-varying chemical fields: a modeling framework and theoretical study.

Authors:  Markos Antonopoulos; Dimitra Dionysiou; Georgios Stamatakos; Nikolaos Uzunoglu
Journal:  BMC Bioinformatics       Date:  2019-08-27       Impact factor: 3.169

4.  Cancer-induced immunosuppression can enable effectiveness of immunotherapy through bistability generation: A mathematical and computational examination.

Authors:  Victor Garcia; Sebastian Bonhoeffer; Feng Fu
Journal:  J Theor Biol       Date:  2020-02-06       Impact factor: 2.691

Review 5.  Quantitative Systems Pharmacology Approaches for Immuno-Oncology: Adding Virtual Patients to the Development Paradigm.

Authors:  Vijayalakshmi Chelliah; Georgia Lazarou; Sumit Bhatnagar; John P Gibbs; Marjoleen Nijsen; Avijit Ray; Brian Stoll; R Adam Thompson; Abhishek Gulati; Serguei Soukharev; Akihiro Yamada; Jared Weddell; Hiroyuki Sayama; Masayo Oishi; Sabine Wittemer-Rump; Chirag Patel; Christoph Niederalt; Rolf Burghaus; Christian Scheerans; Jörg Lippert; Senthil Kabilan; Irina Kareva; Natalya Belousova; Alex Rolfe; Anup Zutshi; Marylore Chenel; Filippo Venezia; Sylvain Fouliard; Heike Oberwittler; Alix Scholer-Dahirel; Helene Lelievre; Dean Bottino; Sabrina C Collins; Hoa Q Nguyen; Haiqing Wang; Tomoki Yoneyama; Andy Z X Zhu; Piet H van der Graaf; Andrzej M Kierzek
Journal:  Clin Pharmacol Ther       Date:  2020-08-14       Impact factor: 6.875

6.  Mathematical model of a personalized neoantigen cancer vaccine and the human immune system.

Authors:  Marisabel Rodriguez Messan; Osman N Yogurtcu; Joseph R McGill; Ujwani Nukala; Zuben E Sauna; Hong Yang
Journal:  PLoS Comput Biol       Date:  2021-09-24       Impact factor: 4.475

7.  Model-based genotype-phenotype mapping used to investigate gene signatures of immune sensitivity and resistance in melanoma micrometastasis.

Authors:  Guido Santos; Svetoslav Nikolov; Xin Lai; Martin Eberhardt; Florian S Dreyer; Sushmita Paul; Gerold Schuler; Julio Vera
Journal:  Sci Rep       Date:  2016-04-26       Impact factor: 4.379

8.  Decay Dynamics of Tumors.

Authors:  Álvaro G López; Jesús M Seoane; Miguel A F Sanjuán
Journal:  PLoS One       Date:  2016-06-16       Impact factor: 3.240

9.  Data-Driven Mathematical Model of Osteosarcoma.

Authors:  Trang Le; Sumeyye Su; Arkadz Kirshtein; Leili Shahriyari
Journal:  Cancers (Basel)       Date:  2021-05-14       Impact factor: 6.639

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.