A Boolean Model of the Formation of Tumour Associated Macrophages in an in-vitro Model of Chronic Lymphocytic Leukaemia
Marku, M.; Raynal, F.; Verstraete, N.; Domagala, M.; Madrid-Mencia, M.; Poupot, M.; Fournie, J.-J.; Ysebaert, L.; Pancaldi, V.
Show abstract
The tumour microenvironment is the collection of cells in and surrounding cancer cells in a tumour including a variety of immune cells, especially neutrophils and monocyte-derived macrophages. In a tumour setting, macrophages encompass a spectrum between a tumour-suppressive (M1) or tumour-promoting (M2) state. The biology of macrophages found in tumours (Tumour Associated Macrophages) remains unclear, but understanding their impact on tumour progression is highly important. In this paper, we perform a comprehensive analysis of a macrophage polarization network, following two lines of enquiry: (i) we reconstruct the macrophage polarization network based on literature, extending it to include important stimuli in a tumour setting, and (ii) we build a dynamical model able to reproduce macrophage polarization in the presence of different stimuli, including the contact with cancer cells. Our simulations recapitulate the documented macrophage phenotypes and their dependencies on specific receptors and transcription factors, while also elucidating the formation of a special type of tumour associated macrophages in an in-vitro model of chronic lymphocytic leukaemia. This model constitutes the first step towards elucidating the cross-talk between immune and cancer cells inside tumours, with the ultimate goal of identifying new therapeutic targets that could control the formation of tumour associated macrophages in patients.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Data-driven structural analysis of Small Cell Lung Cancer transcription factor networksuggests potential subtype regulators and transition pathways 95%
- Sparsely-Connected Autoencoder (SCA) for single cell RNAseq data mining 95%
- Computational Model of G2-M DNA Damage Checkpoint Regulation in Normal and p53-null Cancer Cells 95%
Similar papers in this journal
- Role of neutrophil extracellular traps in regulation of lung cancer invasion and metastasis: Structural Insights from a Computational Model 96%
- Model guided trait-specific co-expression network estimation as a new perspective for identifying molecular interactions and pathways 96%
- Metabolic Symbiosis between Oxygenated and Hypoxic Tumour Cells: An Agent-based Modelling Study 95%
Similar papers in this journal
- Computational quantification of global effects induced by mutations and drugs in signaling networks of colorectal cancer cells. 96%
- Phenotypic Approaches to T Cell Activation: A Comparative Mathematical Modeling Study 95%
- Migrastatic Therapy as a Potential Game-Changer inAdaptive Cancer Treatment 95%
Similar papers in this journal
- Uncovering potential interventions for pancreatic cancer patients via mathematical modeling 96%
- Bifurcation and sensitivity analysis reveal key drivers of multistability in a model of macrophage polarization. 96%
- Interplay of p53 and XIAP protein dynamics orchestrates cell fate in response to chemotherapy 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.