ArticleCommunications medicine2022
Spatial structure impacts adaptive therapy by shaping intra-tumoral competition.
Article in Communications medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed, 71 citations in OpenAlex.
- A microbial therapy-mimicry assay shows how spatial resource dynamics control resistance escape.Nature ecology & evolution · 2026Article
- In silico models in oncology, neurology, and epidemiology: systems-level and multiscale perspectives.NPJ systems biology and applications · 2026Review
- Review
- Growth rate-driven modelling suggests that phenotypic adaptation drives drug resistance in BRAFV600E-mutant melanoma.Communications biology · 2026Article
- Optimal control theory as a method for designing multidrug adaptive therapy regimens.NPJ systems biology and applications · 2026Article
- Reinforcement learning for adaptive control of phenotypically heterogeneous bacterial populations.bioRxiv : the preprint server for biology · 2025Article
- Impacts of competition and phenotypic plasticity on the viability of adaptive therapy.Mathematical biosciences · 2025Article
- Deriving Optimal Treatment Timing for Adaptive Therapy: Matching the Model to the Tumor Dynamics.Bulletin of mathematical biology · 2025Article
- Extrachromosomal DNA: shaping the evolutionary dynamics of cancer.Trends in cancer · 2025Review
- Efficient mathematical methodology to determine multistep mutant burden in spatially growing cell populations.PNAS nexus · 2025Article
- The role of environmentally mediated drug resistance in facilitating the spatial distribution of residual disease.Communications biology · 2025Article
- Systems biology successes and areas for opportunity in prostate cancer.Endocrine-related cancer · 2025Review
- Using spatial statistics to infer game-theoretic interactions in an agent-based model of cancer cells.bioRxiv : the preprint server for biology · 2025Article
- Pattern Formation as a Resilience Mechanism in Cancer Immunotherapy.Bulletin of mathematical biology · 2025Article
- Bringing evolutionary cancer therapy to the clinic: a systems approach.NPJ systems biology and applications · 2025Review
- Validating the predictions of mathematical models describing tumor growth and treatment response.ArXiv · 2025Article
- Article
- Multicellular model of neuroblastoma proposes unconventional therapy based on multiple roles of p53.PLoS computational biology · 2024Article
- To modulate or to skip: De-escalating PARP inhibitor maintenance therapy in ovarian cancer using adaptive therapy.Cell systems · 2024Article
- Mathematical Model-Driven Deep Learning Enables Personalized Adaptive Therapy.Cancer research · 2024Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Background: Adaptive therapy aims to tackle cancer drug resistance by leveraging resource competition between drug-sensitive and resistant cells. Here, we present a theoretical study of intra-tumoral competition during adaptive therapy, to investigate under which circumstances it will be superior to aggressive treatment. Methods: We develop and analyse a simple, 2-D, on-lattice, agent-based tumour model in which cells are classified as fully drug-sensitive or resistant. Subsequently, we compare this model to its corresponding non-spatial ordinary differential equation model, and fit it to longitudinal prostate-specific antigen data from 65 prostate cancer patients undergoing intermittent androgen deprivation therapy following biochemical recurrence. Results: Leveraging the individual-based nature of our model, we explicitly demonstrate competitive suppression of resistance during adaptive therapy, and examine how different factors, such as the initial resistance fraction or resistance costs, alter competition. This not only corroborates our theoretical understanding of adaptive therapy, but also reveals that competition of resistant cells with each other may play a more important role in adaptive therapy in solid tumours than was previously thought. To conclude, we present two case studies, which demonstrate the implications of our work for: (i) mathematical modelling of adaptive therapy, and (ii) the intra-tumoral dynamics in prostate cancer patients during intermittent androgen deprivation treatment, a precursor of adaptive therapy. Conclusion: Our work shows that the tumour's spatial architecture is an important factor in adaptive therapy and provides insights into how adaptive therapy leverages both inter- and intra-specific competition to control resistance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.