ArticleIn silico biology2021
Cancer immunoediting: A game theoretical approach.
Article in In silico biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Programmed cell death ligand 1(PD-L1) association in metastatic and non-metastatic oral squamous cell carcinoma: clinicopathologic and immunohistochemical study.Scientific reports · 2026Article
- Analysis and Validation of Tyrosine Metabolism-related Prognostic Features for Liver Hepatocellular Carcinoma Therapy.Current medicinal chemistry · 2025Article
- Dietary factors and their influence on immunotherapy strategies in oncology: a comprehensive review.Cell death & disease · 2024Review
- Deciphering Glioblastoma: Fundamental and Novel Insights into the Biology and Therapeutic Strategies of Gliomas.Current issues in molecular biology · 2024Review
- MicroRNAs mediated interaction of tumor microenvironment cells with breast cancer cells during bone metastasis.Breast cancer (Tokyo, Japan) · 2023Review
- The Three-Dimensional In Vitro Cell Culture Models in the Study of Oral Cancer Immune Microenvironment.Cancers · 2023Review
- Generation, evolution, interfering factors, applications, and challenges of patient-derived xenograft models in immunodeficient mice.Cancer cell international · 2023Review
- AnJournal of the Royal Society, Interface · 2023Article
- Potential predictors of immunotherapy in small cell lung cancer.Pathology oncology research : POR · 2023Review
- Immunology of Oral Squamous Cell Carcinoma-A Comprehensive Insight with Recent Concepts.Life (Basel, Switzerland) · 2022Review
- Exosomes in cancer immunoediting and immunotherapy.Asian journal of pharmaceutical sciences · 2022Review
- Role of Circular RNAs in the Regulation of Immune Cells in Response to Cancer Therapies.Frontiers in genetics · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The role of the immune system in tumor development increasingly includes the idea of cancer immunoediting. It comprises three phases: elimination, equilibrium, and escape. In the first phase, elimination, transformed cells are recognized and destroyed by immune system. The rare tumor cells that are not destroyed in this phase may then enter the equilibrium phase, where their growth is prevented by immunity mechanisms. The escape phase represents the final phase of this process, where cancer cells begin to grow unconstrained by the immune system. In this study, we describe and analyze an evolutionary game theoretical model of proliferating, quiescent, and immune cells interactions for the first time. The proposed model is evaluated with constant and dynamic approaches. Population dynamics and interactions between the immune system and cancer cells are investigated. Stability of equilibria or critical points are analyzed by applying algebraic analysis. This model allows us to understand the process of cancer development and might help us design better treatment strategies to account for immunoediting.
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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.