activity
20122023
most citedEvolutionary dynamics of competing phenotype-structured populations in periodically fluctuating environments

34 citations · 226 across the 27 of their papers we have counts for

collaborators

30 papers

q-bio.CB2023

An individual-based model to explore the impact of psychological stress on immune infiltration into tumour spheroids

Emma Leschiera, Gheed Al-Hity, Melanie S. Flint +4

In recent in vitro experiments on co-culture between breast tumour spheroids and activated immune cells, it was observed that the introduction of the stress hormone cortisol result…

q-bio.PE2023★ 5 cited

Modelling coevolutionary dynamics in heterogeneous SI epidemiological systems across scales

Tommaso Lorenzi, Elisa Paparelli, Andrea Tosin

We develop a new structured compartmental model for the coevolutionary dynamics between susceptible and infectious individuals in heterogeneous SI epidemiological systems. In this…

q-bio.CB2023

Travelling waves in a coarse-grained model of volume-filling cell invasion: Simulations and comparisons

Rebecca M. Crossley, Philip K. Maini, Tommaso Lorenzi +1

Many reaction-diffusion models produce travelling wave solutions that can be interpreted as waves of invasion in biological scenarios such as wound healing or tumour growth. These…

math.AP2022

A hybrid discrete-continuum modelling approach to explore the impact of T-cell infiltration on anti-tumour immune response

Luis Almeida, Chloe Audebert, Emma Leschiera +1

We present a spatial hybrid discrete-continuum modelling framework for the interaction dynamics between tumour cells and cytotoxic T cells, which play a pivotal role in the immune…

math.AP2022

The impact of phenotypic heterogeneity on chemotactic self-organisation

Fiona R Macfarlane, Tommaso Lorenzi, Kevin J Painter

The capacity to aggregate through chemosensitive movement forms a paradigm of self-organisation, with examples spanning cellular and animal systems. A basic mechanism assumes a phe…

q-bio.PE2022★ 4 cited

Individual-based and continuum models of phenotypically heterogeneous growing cell populations

Fiona R Macfarlane, Xinran Ruan, Tommaso Lorenzi

Existing studies comparing individual-based models of growing cell populations and their continuum counterparts have mainly focused on homogeneous populations, in which all cells h…

math.DS2021

Discrete and continuum models for the coevolutionary dynamics between CD8+ cytotoxic T lymphocytes and tumour cells

Luís Almeida, Chloe Audebert, Emma Leschiera +1

We present an individual-based model for the coevolutionary dynamics between CD8+ cytotoxic T lymphocytes (CTLs) and tumour cells. In this model, every cell is viewed as an individ…

q-bio.PE2021★ 17 cited

Trade-offs between chemotaxis and proliferation shape the phenotypic structuring of invading waves

Tommaso Lorenzi, Kevin J Painter

Chemotaxis-driven invasions have been proposed across a broad spectrum of biological processes, from cancer to ecology. The influential system of equations introduced by Keller and…

math.AP2021★ 20 cited

Travelling-wave analysis of a model of tumour invasion with degenerate, cross-dependent diffusion

Chloé Colson, Faustino Sánchez-Garduño, Helen M. Byrne +2

In this paper, we carry out a travelling-wave analysis of a model of tumour invasion with degenerate, cross-dependent diffusion. We consider two types of invasive fronts of tumour…

q-bio.CB2021★ 2 cited

A mathematical model to study the impact of intra-tumour heterogeneity on anti-tumour CD8+ T cell immune response

Emma Leschiera, Tommaso Lorenzi, Shensi Shen +2

Intra-tumour heterogeneity (ITH) has a strong impact on the efficacy of the immune response against solid tumours. The number of sub-populations of cancer cells expressing differen…

math.AP2021

Effective interface conditions for continuum mechanical models describing the invasion of multiple cell populations through thin membranes

Chiara Giverso, Tommaso Lorenzi, Luigi Preziosi

We consider a continuum mechanical model for the migration of multiple cell populations through parts of tissue separated by thin membranes. In this model, cells belonging to diffe…

q-bio.PE2020★ 9 cited

Evolutionary dynamics in an SI epidemic model with phenotype-structured susceptible compartment

Tommaso Lorenzi, Andrea Pugliese, Mattia Sensi +1

We present an SI epidemic model whereby a continuous variable captures variability in proliferative potential and resistance to infection among susceptibles. The occurrence of heri…

q-bio.TO2020★ 21 cited

Mechanical models of pattern and form in biological tissues: the role of stress-strain constitutive equations

Chiara Villa, Mark A. J. Chaplain, Alf Gerisch +1

Mechanochemical models of pattern formation in biological tissues have been used to study a variety of biomedical systems and describe the physical interactions between cells and t…

q-bio.TO2020★ 1 cited

A mathematical study of the influence of hypoxia and acidity on the evolutionary dynamics of cancer

Giada Fiandaca, Marcello Delitala, Tommaso Lorenzi

Hypoxia and acidity act as environmental stressors promoting selection for cancer cells with a more aggressive phenotype. As a result, a deeper theoretical understanding of the spa…

q-bio.CB2020

Macroscopic limit of a kinetic model describing the switch in T cell migration modes via binary interactions

Gissell Estrada-Rodriguez, Tommaso Lorenzi

Experimental results on the immune response to cancer indicate that activation of cytotoxic T lymphocytes (CTLs) through interactions with dendritic cells (DCs) can trigger a chang…

math.AP2020★ 1 cited

Invasion fronts and adaptive dynamics in a model for the growth of cell populations with heterogeneous mobility

Tommaso Lorenzi, Benoît Perthame, Xinran Ruan

We consider a model for the dynamics of growing cell populations with heterogeneous mobility and proliferation rate. The cell phenotypic state is described by a continuous structur…

q-bio.CB2020

A hybrid discrete-continuum approach to model Turing pattern formation

Fiona R Macfarlane, Mark AJ Chaplain, Tommaso Lorenzi

Since its introduction in 1952, Turing's (pre-)pattern theory ("the chemical basis of morphogenesis") has been widely applied to a number of areas in developmental biology. The rel…

math.AP2019★ 1 cited

From a discrete model of chemotaxis with volume-filling to a generalised Patlak-Keller-Segel model

Federica Bubba, Tommaso Lorenzi, Fiona R Macfarlane

We present a discrete model of chemotaxis whereby cells responding to a chemoattractant are seen as individual agents whose movement is described through a set of rules that result…

q-bio.TO2019★ 2 cited

Evolutionary dynamics in vascularised tumours under chemotherapy

Chiara Villa, Mark A. J. Chaplain, Tommaso Lorenzi

We consider a mathematical model for the evolutionary dynamics of tumour cells in vascularised tumours under chemotherapy. The model comprises a system of coupled partial integro-d…

q-bio.TO2019★ 7 cited

Discrete and continuum models for the evolutionary and spatial dynamics of cancer: a very short introduction through two case studies

Tommaso Lorenzi, Fiona R. Macfarlane, Chiara Villa

We give a very short introduction to discrete and continuum models for the evolutionary and spatial dynamics of cancer through two case studies: a model for the evolutionary dynami…

q-bio.TO2019★ 4 cited

Modelling the emergence of phenotypic heterogeneity in vascularised tumours

Chiara Villa, Mark A. J. Chaplain, Tommaso Lorenzi

We present a mathematical study of the emergence of phenotypic heterogeneity in vascularised tumours. Our study is based on formal asymptotic analysis and numerical simulations of…

math.AP2019

A structured population model of clonal selection in acute leukemias with multiple maturation stages

Tommaso Lorenzi, Anna Marciniak-Czochra, Thomas Stiehl

Recent progress in genetic techniques has shed light on the complex co-evolution of malignant cell clones in leukemias. However, several aspects of clonal selection still remain un…

q-bio.PE2019★ 34 cited

Evolutionary dynamics of competing phenotype-structured populations in periodically fluctuating environments

Aleksandra Ardaševa, Robert A. Gatenby, Alexander R. A. Anderson +3

Living species, ranging from bacteria to animals, exist in environmental conditions that exhibit spatial and temporal heterogeneity which requires them to adapt. Risk-spreading thr…

q-bio.CB2019★ 18 cited

A stochastic individual-based model to explore the role of spatial interactions and antigen recognition in the immune response against solid tumours

Fiona R Macfarlane, Mark AJ Chaplain, Tommaso Lorenzi

Spatial interactions between cancer and immune cells, as well as the recognition of tumour antigens by cells of the immune system, play a key role in the immune response against so…