ArticleCancer research2020
Sustained Coevolution in a Stochastic Model of Cancer-Immune Interaction.
Article in Cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed, 27 citations in OpenAlex.
- How optimal control of cellular cost shapes population-level tumor growth dynamics.bioRxiv : the preprint server for biology · 2026Article
- Coupled SDE-ODE Modeling of Tumor-Immune Dynamics to Infer Biomarker Release.Bulletin of mathematical biology · 2026Article
- Regulatory network and spatial modeling reveal cooperative mechanisms of resistance and immune escape in ER+ breast cancer.BMC cancer · 2026Article
- Article
- Regulatory network and spatial modeling reveal cooperative mechanisms of resistance and immune escape in ER+ breast cancer.bioRxiv : the preprint server for biology · 2025Article
- ImmuProgML: machine learning-based dissection of cancer-immune dynamics during tumor progression to improve immunotherapy.Journal of translational medicine · 2025Article
- Distinct evolutionary patterns of tumour-immune escape and elimination determined by extracellular matrix architectures.Journal of the Royal Society, Interface · 2025Article
- How modulation of the tumor microenvironment drives cancer immune escape dynamics.Scientific reports · 2025Article
- Understanding the interplay between extracellular matrix topology and tumor-immune interactions: Challenges and opportunities.Oncotarget · 2024Review
- Reuniting philosophy and science to advance cancer research.Biological reviews of the Cambridge Philosophical Society · 2023Article
- Article
- Rapid Assessment of T-Cell Receptor Specificity of the Immune Repertoire.Nature computational science · 2021Article
- Predator-Prey in Tumor-Immune Interactions: A Wrong Model or Just an Incomplete One?Frontiers in immunology · 2021Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The dynamic interactions between an evolving malignancy and the adaptive immune system generate diverse evolutionary trajectories that ultimately result in tumor clearance or immune escape. Here, we create a simple mathematical model coupling T-cell recognition with an evolving cancer population that may randomly produce evasive subclones, imparting transient protection against the effector T cells. T-cell turnover declines and evasion rates together explained differences in early incidence data across almost all cancer types. Fitting the model to TRACERx evolutionary data argued in favor of substantial and sustained immune pressure exerted upon a developing tumor, suggesting that clinically observed incidence is a small proportion of all cancer initiation events. This dynamical model promises to increase our quantitative understanding of many immune escape contexts, including cancer progression and intracellular pathogenic infections. SIGNIFICANCE: The early cancer-immune interaction sculpts intratumor heterogeneity through the selection of immune-evasive clones. This study provides a mathematical framework for investigating the coevolution between an immune-evasive cancer population and the adaptive immune system.
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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.