A Mathematical Model of Breast Tumor Progression Based on Immune Infiltration.
N Mohammad MirzaeiSumeyye SuDilruba SofiaMaura HegartyMohamed H Abdel-RahmanAlireza AsadpoureColleen M CebullaYoung Hwan ChangWenrui HaoPamela R JacksonAdrian V LeeDaniel G StoverZuzana TatarovaIoannis K ZervantonakisLeili ShahriyariPublished in: Journal of personalized medicine (2021)
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.
Keyphrases
- induced apoptosis
- end stage renal disease
- papillary thyroid
- cell cycle arrest
- newly diagnosed
- chronic kidney disease
- ejection fraction
- squamous cell
- type diabetes
- signaling pathway
- endoplasmic reticulum stress
- immune response
- gene expression
- cell death
- polycystic ovary syndrome
- skeletal muscle
- cell proliferation
- microbial community
- pregnant women
- metabolic syndrome
- long non coding rna
- antibiotic resistance genes