ReviewWiley interdisciplinary reviews. Systems biology and medicine
Integrative physical oncology.
Review in Wiley interdisciplinary reviews. Systems biology and medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
16 citing papers in PubMed, 34 citations in OpenAlex.
- Computational models of melanoma.Theoretical biology & medical modelling · 2020Review
- Mathematical modeling of tumor-immune cell interactions.Journal of theoretical biology · 2019Review
- PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems.PLoS computational biology · 2018Article
- Combining radiation with hyperthermia: a multiscale model informed byJournal of the Royal Society, Interface · 2018Article
- Towards personalized computational oncology: from spatial models of tumour spheroids, to organoids, to tissues.Journal of the Royal Society, Interface · 2018Review
- A HYBRID THREE-SCALE MODEL OF TUMOR GROWTH.Mathematical models & methods in applied sciences : M3AS · 2018Article
- The biology and mathematical modelling of glioma invasion: a review.Journal of the Royal Society, Interface · 2017Review
- Cells as strain-cued automata.Journal of the mechanics and physics of solids · 2016Article
- Diagnostic assessment of osteosarcoma chemoresistance based on Virtual Clinical Trials.Medical hypotheses · 2015Article
- Tumor growth in complex, evolving microenvironmental geometries: a diffuse domain approach.Journal of theoretical biology · 2014Article
- 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
- Understanding Drug Resistance in Breast Cancer with Mathematical Oncology.Current breast cancer reports · 2014Article
- An integrated computational/experimental model of lymphoma growth.PLoS computational biology · 2013Article
- Multiscale imaging and computational modeling of blood flow in the tumor vasculature.Annals of biomedical engineering · 2012Review
- Computational medicine: translating models to clinical care.Science translational medicine · 2012Article
- Dynamic density functional theory of solid tumor growth: Preliminary models.AIP advances · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 3 countries.
Funding
Abstract
Cancer is arguably the ultimate complex biological system. Solid tumors are microstructured soft matter that evolves as a consequence of spatio-temporal events at the intracellular (e.g., signaling pathways, macromolecular trafficking), intercellular (e.g., cell-cell adhesion/communication), and tissue (e.g., cell-extracellular matrix interactions, mechanical forces) scales. To gain insight, tumor and developmental biologists have gathered a wealth of molecular, cellular, and genetic data, including immunohistochemical measurements of cell type-specific division and death rates, lineage tracing, and gain-of-function/loss-of-function mutational analyses. These data are empirically extrapolated to a diagnosis/prognosis of tissue-scale behavior, e.g., for clinical decision. Integrative physical oncology (IPO) is the science that develops physically consistent mathematical approaches to address the significant challenge of bridging the nano (nm)-micro (µm) to macro (mm, cm) scales with respect to tumor development and progression. In the current literature, such approaches are referred to as multiscale modeling. In the present article, we attempt to assess recent modeling approaches on each separate scale and critically evaluate the current 'hybrid-multiscale' models used to investigate tumor growth in the context of brain and breast cancers. Finally, we provide our perspective on the further development and the impact of IPO.
Indexed as
Identifiers
What OpenQuestion holds
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.