0000000001104669

AUTHOR

Raluca Eftimie

showing 4 related works from this author

Non-local multiscale approach for the impact of go or grow hypothesis on tumour-viruses interactions

2021

International audience; We propose and study computationally a novel non-local multiscale moving boundary mathematical model for tumour and oncolytic virus (OV) interactions when we consider the go or grow hypothesis for cancer dynamics. This spatio-temporal model focuses on two cancer cell phenotypes that can be infected with the OV or remain uninfected, and which can either move in response to the extracellular-matrix (ECM) density or proliferate. The interactions between cancer cells, those among cancer cells and ECM, and those among cells and OV occur at the macroscale. At the micro-scale, we focus on the interactions between cells and matrix degrading enzymes (MDEs) that impact the mov…

Non-local cell adhesion[SDV]Life Sciences [q-bio]Multiscale cancer modellingBiologyMatrix (biology)Models BiologicalVirusMigration-proliferation dichotomyExtracellular matrix03 medical and health sciences0302 clinical medicineNeoplasmsmedicineQA1-939HumansNeoplasm Invasiveness[NLIN]Nonlinear Sciences [physics][MATH]Mathematics [math]030304 developmental biology0303 health sciencesApplied MathematicsCancerGo or grow hypothesisGeneral Medicinemedicine.diseasePhenotypeExtracellular MatrixCell biologyOncolytic virusOncolytic VirusesComputational MathematicsViral replication030220 oncology & carcinogenesisModeling and SimulationTumour-oncolytic viruses interactionsCancer cellOncogenic VirusesGeneral Agricultural and Biological SciencesTP248.13-248.65MathematicsBiotechnology
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Mathematical investigation of innate immune responses to lung cancer: The role of macrophages with mixed phenotypes

2021

Abstract Macrophages’ role in the evolution of solid tumours is a well accepted fact, with the M1-like macrophages having an anti-tumour role and the M2-like macrophages having a pro-tumour role. Despite the fact that some clinical studies on lung tumours have emphasised also the presence of macrophages with mixed M1 and M2 phenotypes in addition to macrophages with distinct phenotypes, the majority of studies still use the distinct M1-M2 classification to predict the evolution of tumours and patient survival. In this theoretical study we use a mathematical modelling and computational approach to investigate the role of macrophages with mixed phenotype on growth/control/elimination of lung …

0301 basic medicineStatistics and ProbabilityLung Neoplasms[SDV]Life Sciences [q-bio]BiologyGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciences0302 clinical medicinemedicineMacrophageHumans[NLIN]Nonlinear Sciences [physics][MATH]Mathematics [math]Lung cancerComputingMilieux_MISCELLANEOUSInnate immune systemGeneral Immunology and MicrobiologyApplied MathematicsMacrophagesPatient survivalGeneral MedicineModels Theoreticalmedicine.diseasePhenotypeImmunity Innate030104 developmental biologyPhenotypeModeling and SimulationCancer researchLung tumoursGeneral Agricultural and Biological Sciences030217 neurology & neurosurgery
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Collective Cell Migration in a Fibrous Environment: A Hybrid Multiscale Modelling Approach

2021

International audience; The specific structure of the extracellular matrix (ECM), and in particular the density and orientation of collagen fibres, plays an important role in the evolution of solid cancers. While many experimental studies discussed the role of ECM in individual and collective cell migration, there are still unanswered questions about the impact of nonlocal cell sensing of other cells on the overall shape of tumour aggregation and its migration type. There are also unanswered questions about the migration and spread of tumour that arises at the boundary between different tissues with different collagen fibre orientations. To address these questions, in this study we develop …

0301 basic medicineStatistics and Probabilitymulti-scale hybrid mathematical modelMaterials sciencecell migration[SDV.CAN]Life Sciences [q-bio]/Cancercontinuous cell-extracellular matrix interactionsQA273-280Articlenumerical simulationsExtracellular matrix03 medical and health sciences0302 clinical medicineCollagen fibres[SDV.BC.IC]Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB][NLIN]Nonlinear Sciences [physics][MATH]Mathematics [math]T57-57.97Applied mathematics. Quantitative methodsApplied MathematicsCollective cell migrationCell migrationTumour invasionCollagen fibre030104 developmental biologyorientation of extracellular matrix fibresagent based discrete cell-cell interactionsContinuous fieldBiological systemProbabilities. Mathematical statistics030217 neurology & neurosurgeryFrontiers in Applied Mathematics and Statistics
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Modelling Keloids Dynamics: A Brief Review and New Mathematical Perspectives

2022

The keloids are fibroproliferative disorders described by an excessive growth of fibrotic tissue, which also invades adjacent areas (beyond the original wound borders). Since these disorders are specific to humans (no other animal species naturally develop keloid-like tissue), the experimental in vivo/in vitro research has not lead to significant advances in this field. One possible approach could be to combine in vitro human models with calibrated in silico mathematical approaches (i.e., models and simulations) to generate new testable biological hypotheses related to biological mechanisms and improved treatments. Since these combined approaches do not really exist for keloid disorders, in…

[SDV] Life Sciences [q-bio]modelling cancer and wound healinginflammationkeloid disordersreviewmathematical modelling and computational approaches[MATH] Mathematics [math]biomechanics
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