ArticleScientific reports2016
Prediction of treatment efficacy for prostate cancer using a mathematical model.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 42 citations in OpenAlex.
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- Mathematical model of a personalized neoantigen cancer vaccine and the human immune system.PLoS computational biology · 2021Article
- Identification of Cross-Pathway Connections via Protein-Protein Interactions Linked to Altered States of Metabolic Enzymes in Cervical Cancer.Frontiers in medicine · 2021Article
- A Double-Edged Sword Role of Cytokines in Prostate Cancer Immunotherapy.Frontiers in oncology · 2021Review
- A QSP model of prostate cancer immunotherapy to identify effective combination therapies.Scientific reports · 2020Article
- A modeling platform for the lymphatic system.Journal of theoretical biology · 2020Article
- Prediction of Proximal Junctional Kyphosis After Posterior Scoliosis Surgery With Machine Learning in the Lenke 5 Adolescent Idiopathic Scoliosis Patient.Frontiers in bioengineering and biotechnology · 2020Article
- Systematically understanding the immunity leading to CRPC progression.PLoS computational biology · 2019Article
- CRA toolbox: software package for conditional robustness analysis of cancer systems biology models in MATLAB.BMC bioinformatics · 2019Article
- Quantitative Mechanistic Modeling in Support of Pharmacological Therapeutics Development in Immuno-Oncology.Frontiers in immunology · 2019Review
- WSMD: weakly-supervised motif discovery in transcription factor ChIP-seq data.Scientific reports · 2017Article
- Structure-based modelling of hemocyanin allergenicity in squid and its response to high hydrostatic pressure.Scientific reports · 2017Article
- Mathematical and Computational Modeling in Complex Biological Systems.BioMed research international · 2017Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
Abstract
Prostate immune system plays a critical role in the regulation of prostate cancer development regarding androgen-deprivation therapy (ADT) and/or immunotherapy (vaccination). In this study, we developed a mathematical model to explore the interactions between prostate tumor and immune microenvironment. This model was used to predict treatment outcomes for prostate cancer with ADT, vaccination, Treg depletion and/or IL-2 neutralization. Animal data were used to guide construction, parameter selection, and validation of our model. Our analysis shows that Treg depletion and/or IL-2 neutralization can effectively improve the treatment efficacy of combined therapy with ADT and vaccination. Treg depletion has a higher synergetic effect than that from IL-2 neutralization. This study highlights a potential therapeutic strategy in effectively managing prostate tumor growth and provides a framework of systems biology approach in studying tumor-related immune mechanism and consequent selection of therapeutic regimens.
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Registered trials
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