ReviewAnnals of biomedical engineering2012
Multiscale models of breast cancer progression.
Review in Annals of biomedical engineering, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- A Mathematical Model of Breast Tumor Progression Based on Immune Infiltration.Journal of personalized medicine · 2021Article
- Understanding the Targeting Mechanisms of Multi-Specific Biologics in Immunotherapy with Multiscale Modeling.iScience · 2020Article
- A Multiscale Model for the Self-Assembly of Coat Proteins in Bacteriophage MS2.Journal of chemical information and modeling · 2019Article
- Agent-based model of multicellular tumor spheroid evolution including cell metabolism.The European physical journal. E, Soft matter · 2019Article
- Integrating Structural Information to Study the Dynamics of Protein-Protein Interactions in Cells.Structure (London, England : 1993) · 2018Article
- Understanding the Connection between Nanoparticle Uptake and Cancer Treatment Efficacy using Mathematical Modeling.Scientific reports · 2018Article
- A Brownian dynamics tumor progression simulator with application to glioblastoma.Convergent science physical oncology · 2018Article
- A HYBRID THREE-SCALE MODEL OF TUMOR GROWTH.Mathematical models & methods in applied sciences : M3AS · 2018Article
- Multiscale Tumor Modeling With Drug Pharmacokinetic and Pharmacodynamic Profile Using Stochastic Hybrid System.Cancer informatics · 2018Review
- Modeling of the metabolic energy dissipation for restricted tumor growth.Journal of bioenergetics and biomembranes · 2017Article
- An agent-based model of triple-negative breast cancer: the interplay between chemokine receptor CCR5 expression, cancer stem cells, and hypoxia.BMC systems biology · 2017Article
- Multiscalar cellular automaton simulates in-vivo tumour-stroma patterns calibrated from in-vitro assay data.BMC medical informatics and decision making · 2017Article
- Editorial: Special Section on Multiscale Cancer Modeling.IEEE transactions on bio-medical engineering · 2017Article
- Multi-scale Modeling in Clinical Oncology: Opportunities and Barriers to Success.Annals of biomedical engineering · 2016Review
- 3-D individual cell based computational modeling of tumor cell-macrophage paracrine signaling mediated by EGF and CSF-1 gradients.Integrative biology : quantitative biosciences from nano to macro · 2016Article
- Simulation predicts IGFBP2-HIF1α interaction drives glioblastoma growth.PLoS computational biology · 2015Article
- Strategies for efficient numerical implementation of hybrid multi-scale agent-based models to describe biological systems.Cellular and molecular bioengineering · 2015Article
- Integrating Multiscale Modeling with Drug Effects for Cancer Treatment.Cancer informatics · 2015Review
- Applications of systems science in biomedical research regarding obesity and noncommunicable chronic diseases: opportunities, promise, and challenges.Advances in nutrition (Bethesda, Md.) · 2015Review
- An agent-based model of cancer stem cell initiated avascular tumour growth and metastasis: the effect of seeding frequency and location.Journal of the Royal Society, Interface · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Breast cancer initiation, invasion and metastasis span multiple length and time scales. Molecular events at short length scales lead to an initial tumorigenic population, which left unchecked by immune action, acts at increasingly longer length scales until eventually the cancer cells escape from the primary tumor site. This series of events is highly complex, involving multiple cell types interacting with (and shaping) the microenvironment. Multiscale mathematical models have emerged as a powerful tool to quantitatively integrate the convective-diffusion-reaction processes occurring on the systemic scale, with the molecular signaling processes occurring on the cellular and subcellular scales. In this study, we reviewed the current state of the art in cancer modeling across multiple length scales, with an emphasis on the integration of intracellular signal transduction models with pro-tumorigenic chemical and mechanical microenvironmental cues. First, we reviewed the underlying biomolecular origin of breast cancer, with a special emphasis on angiogenesis. Then, we summarized the development of tissue engineering platforms which could provide high-fidelity ex vivo experimental models to identify and validate multiscale simulations. Lastly, we reviewed top-down and bottom-up multiscale strategies that integrate subcellular networks with the microenvironment. We present models of a variety of cancers, in addition to breast cancer specific models. Taken together, we expect as the sophistication of the simulations increase, that multiscale modeling and bottom-up agent-based models in particular will become an increasingly important platform technology for basic scientific discovery, as well as the identification and validation of potentially novel therapeutic targets.
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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.