activity
20202026
most citedAgent-based and continuum models for spatial dynamics of infection by oncolytic viruses

18 citations · 41 across the 10 of their papers we have counts for

collaborators

10 papers

q-bio.TO2026

Oxygenation and spatial heterogeneity shape radiotherapy protocol ranking through phenotypic adaptation

Francesco Albanese, Giulia Chiari, Marcello Edoardo Delitala

Tumor response to radiotherapy is strongly influenced by oxygen availability and phenotypic heterogeneity, yet their combined impact on the relative performance of fractionation sc…

q-bio.PE2025★ 1 cited

The role of viral dynamics and infectivity in models of oncolytic virotherapy for tumours with different motility

David Morselli, Federico Frascoli, Marcello Edoardo Delitala

The use of ad-hoc engineered viruses in the fight against tumours is one of the greatest ideas in cancer therapeutics within the last three decades. Together with other strategies…

q-bio.TO2024

A phenotype-structured mathematical model for the influence of hypoxia on oncolytic virotherapy

David Morselli, Giulia Chiari, Federico Frascoli +1

The effectiveness of oncolytic virotherapy is significantly affected by several elements of the tumour microenvironment, which reduce the ability of the virus to infect cancer cell…

q-bio.CB2024★ 1 cited

Multi-scale modeling of Snail-mediated response to hypoxia in tumor progression

Giulia Chiari, Martina Conte, Marcello Delitala

Tumor cell migration within the microenvironment is a crucial aspect for cancer progression and, in this context, hypoxia has a significant role. An inadequate oxygen supply acts a…

q-bio.PE2024★ 4 cited

A hybrid discrete-continuum modelling approach for the interactions of the immune system with oncolytic viral infections

David Morselli, Marcello E. Delitala, Adrianne L. Jenner +1

Oncolytic virotherapy, utilizing genetically modified viruses to combat cancer and trigger anti-cancer immune responses, has garnered significant attention in recent years. In our…

q-bio.PE2023★ 6 cited

Hypoxia-related radiotherapy resistance in tumours: treatment efficacy investigation in an eco-evolutionary perspective

Giulia Chiari, Giada Fiandaca, Marcello Edoardo Delitala

In the study of therapeutic strategies for the treatment of cancer, eco-evolutionary dynamics are of particular interest, since characteristics of the tumour population, interactio…

q-bio.PE2023★ 7 cited

Hypoxia-resistance heterogeneity in tumours: the impact of geometrical characterization of environmental niches and evolutionary trade-offs. A mathematical approach

Giulia Chiari, Giada Fiandaca, Marcello Edoardo Delitala

In the study of cancer evolution and therapeutic strategies, scientific evidence shows that a key dynamics lies in the tumor-environment interaction. In particular, oxygen concentr…

q-bio.PE2023★ 18 cited

Agent-based and continuum models for spatial dynamics of infection by oncolytic viruses

David Morselli, Marcello Edoardo Delitala, Federico Frascoli

The use of oncolytic viruses as cancer treatment has received considerable attention in recent years, however the spatial dynamics of this viral infection is still poorly understoo…

math.DS2021★ 3 cited

Effects of mutations and immunogenicity on outcomes of anti-cancer therapies for secondary lesions

Elena Piretto, Marcello Delitala, Peter S. Kim +1

Cancer development is driven by mutations and selective forces, including the action of the immune system and interspecific competition. When administered to patients, anti-cancer…

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…