Literature DB >> 18648887

A mathematical model for the effects of HER2 overexpression on cell proliferation in breast cancer.

Amina Eladdadi1, David Isaacson.   

Abstract

We present a mathematical model to study the effects of HER2 over-expression on cell proliferation in breast cancer. The model illustrates the proliferative behavior of cells as a function of HER2 and EGFR receptors numbers, and the growth factor EGF. This mathematical model comprises kinetic equations describing the cell surface binding of EGF growth factor to EGFR and HER2 receptors, coupled to a model for the dependence of cell proliferation rate on growth factor receptors binding. The simulation results from this model predict: (1) a growth advantage associated with excess HER2 receptors; (2) that HER2-over-expression is an insufficient parameter to predict the proliferation response of cancer cells to epidermal growth factors; and (3) the EGFR receptor expression level in HER2-over-expressing cells plays a key role in mediating the proliferation response to receptor-ligand signaling. This mathematical model also elucidates the interaction and roles of other model parameters in determining cell proliferation rate of HER2-over-expressing cells.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18648887     DOI: 10.1007/s11538-008-9315-4

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


  7 in total

1.  FISIK: Framework for the Inference of In Situ Interaction Kinetics from Single-Molecule Imaging Data.

Authors:  Luciana R de Oliveira; Khuloud Jaqaman
Journal:  Biophys J       Date:  2019-08-06       Impact factor: 4.033

2.  Cancer stem cell, niche and EGFR decide tumor development and treatment response: A bio-computational simulation study.

Authors:  Xiuwei Zhu; Xiaobo Zhou; Michael T Lewis; Ling Xia; Stephen Wong
Journal:  J Theor Biol       Date:  2010-10-20       Impact factor: 2.691

3.  Disentangling ERBB Signaling in Breast Cancer Subtypes-A Model-Based Analysis.

Authors:  Svenja Kemmer; Mireia Berdiel-Acer; Eileen Reinz; Johanna Sonntag; Nooraldeen Tarade; Stephan Bernhardt; Mirjam Fehling-Kaschek; Max Hasmann; Ulrike Korf; Stefan Wiemann; Jens Timmer
Journal:  Cancers (Basel)       Date:  2022-05-12       Impact factor: 6.575

4.  Changes in HER2 Expression and Amplification Status Following Preoperative Chemotherapy for Gastric Cancer.

Authors:  Sei Shu; Makoto Iimori; Ryota Nakanishi; Tomoko Jogo; Hiroshi Saeki; Eiji Oki; Yoshihiko Maehara
Journal:  In Vivo       Date:  2018 Nov-Dec       Impact factor: 2.155

5.  Investigating key cell types and molecules dynamics in PyMT mice model of breast cancer through a mathematical model.

Authors:  Navid Mohammad Mirzaei; Navid Changizi; Alireza Asadpoure; Sumeyye Su; Dilruba Sofia; Zuzana Tatarova; Ioannis K Zervantonakis; Young Hwan Chang; Leili Shahriyari
Journal:  PLoS Comput Biol       Date:  2022-03-16       Impact factor: 4.475

6.  Development of a Nanostructured Platform for Identifying HER2-Heterogeneity of Breast Cancer Cells by Surface-Enhanced Raman Scattering.

Authors:  Alexandro Téllez-Plancarte; Emmanuel Haro-Poniatowski; Michel Picquart; José Guadalupe Morales-Méndez; Carlos Lara-Cruz; Javier Esteban Jiménez-Salazar; Pablo Damián-Matsumura; Luis Escobar-Alarcón; Nikola Batina
Journal:  Nanomaterials (Basel)       Date:  2018-07-20       Impact factor: 5.076

7.  Anesthetic propofol epigenetically regulates breast cancer trastuzumab resistance through IL-6/miR-149-5p axis.

Authors:  Dan Tian; Miao Tian; Zhi-Ming Ma; Lei-Lei Zhang; Yun-Feng Cui; Jin-Long Li
Journal:  Sci Rep       Date:  2020-06-01       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.