@article{32e0c322a2884b77b529ac92c5541a38,
title = "A mathematical model of breast tumor progression based on immune infiltration",
abstract = "Breast cancer is the most prominent type of cancer among women. Understanding the microenvironment of breast cancer and the interactions between cells and cytokines will lead to better treatment approaches for patients. In this study, we developed a data-driven mathematical model to investigate the dynamics of key cells and cytokines involved in breast cancer development. We used gene expression profiles of tumors to estimate the relative abundance of each immune cell and group patients based on their immune patterns. Dynamical results show the complex interplay between cells and molecules, and sensitivity analysis emphasizes the direct effects of macrophages and adipocytes on cancer cell growth. In addition, we observed the dual effect of IFN-γ on cancer proliferation, either through direct inhibition of cancer cells or by increasing the cytotoxicity of CD8+ T-cells.",
keywords = "Adipocytes, Breast cancer, Cytokines, Data driven mathematical model, Estrogen, HMGB1, IFN-γ, Immune infiltration, Macrophages, Ordinary differential equations, Sensitivity analysis, T-cells",
author = "Mirzaei, {Navid Mohammad} and Sumeyye Su and Dilruba Sofia and Maura Hegarty and Abdel-Rahman, {Mohamed H.} and Alireza Asadpoure and Cebulla, {Colleen M.} and Chang, {Young Hwan} and Wenrui Hao and Jackson, {Pamela R.} and Lee, {Adrian V.} and Stover, {Daniel G.} and Zuzana Tatarova and Zervantonakis, {Ioannis K.} and Leili Shahriyari",
note = "Funding Information: This project has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under subcontract number 21X131F of Leidos Biomed{\textquoteright}s prime, contract number 75N91019D00024, task order number 75N91019F00134; under award number U54CA209988; and by the Department of Energy under Award Number DE-SC0021630. The content of this publication does not necessarily reflect the views or policies of the funding agencies, nor does any mention of trade names, commercial products or organizations imply endorsement by the U.S. Government. Funding Information: Funding: This project has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under subcontract number 21X131F of Leidos Biomed{\textquoteright}s prime, contract number 75N91019D00024, task order number 75N91019F00134; under award number U54CA209988; and by the Department of Energy under Award Number DE-SC0021630. The content of this publication does not necessarily reflect the views or policies of the funding agencies, nor does any mention of trade names, commercial products or organizations imply endorsement by the U.S. Government. Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2021",
month = oct,
doi = "10.3390/jpm11101031",
language = "English (US)",
volume = "11",
journal = "Journal of Personalized Medicine",
issn = "2075-4426",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "10",
}