ArticleJournal of the Royal Society, Interface2011
Predictions of tumour morphological stability and evaluation against experimental observations.
Article in Journal of the Royal Society, Interface, 2011. 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.
- Nanoscale Prognosis of Colorectal Cancer Metastasis from AFM Image Processing of Histological Sections.Cancers · 2023Article
- A PDE Model of Breast Tumor Progression in MMTV-PyMT Mice.Journal of personalized medicine · 2022Article
- Surface tension of model tissues during malignant transformation and epithelial-mesenchymal transition.Frontiers in cell and developmental biology · 2022Article
- Multicellular Ovarian Cancer Model for Evaluation of Nanovector Delivery in Ascites and Metastatic Environments.Pharmaceutics · 2021Article
- Nonlinear studies of tumor morphological stability using a two-fluid flow model.Journal of mathematical biology · 2018Article
- Three-Dimensional Spatiotemporal Modeling of Colon Cancer Organoids Reveals that Multimodal Control of Stem Cell Self-Renewal is a Critical Determinant of Size and Shape in Early Stages of Tumor Growth.Bulletin of mathematical biology · 2018Article
- Multiscale Modeling of Glioblastoma Suggests that the Partial Disruption of Vessel/Cancer Stem Cell Crosstalk Can Promote Tumor Regression Without Increasing Invasiveness.IEEE transactions on bio-medical engineering · 2017Article
- Automated analysis of co-localized protein expression in histologic sections of prostate cancer.PloS one · 2017Article
- Treatment of non-muscle invasive bladder cancer with Bacillus Calmette-Guerin (BCG): Biological markers and simulation studies.BBA clinical · 2015Review
- Article
- A stable scheme for a nonlinear, multiphase tumor growth model with an elastic membrane.International journal for numerical methods in biomedical engineering · 2014Article
- The role of engineering approaches in analysing cancer invasion and metastasis.Nature reviews. Cancer · 2013Review
- Predictive modeling of in vivo response to gemcitabine in pancreatic cancer.PLoS computational biology · 2013Article
- Article
- Efficient coarse simulation of a growing avascular tumor.Physical review. E, Statistical, nonlinear, and soft matter physics · 2012Article
- A statistical modeling approach to the analysis of spatial patterns of FDG-PET uptake in human sarcoma.IEEE transactions on medical imaging · 2011Article
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
Abstract
The hallmark of malignant tumours is their spread into neighbouring tissue and metastasis to distant organs, which can lead to life threatening consequences. One of the defining characteristics of aggressive tumours is an unstable morphology, including the formation of invasive fingers and protrusions observed both in vitro and in vivo. In spite of extensive biological, clinical and modelling study and research at physical scales ranging from the molecular to the tissue, the driving dynamics of tumour invasiveness are not completely understood, partly because it is challenging to observe and study cancer as a multi-scale system. Mathematical modelling has been applied to provide further insights into these complex invasive and metastatic behaviours. Modelling a solid tumour as an incompressible fluid, we consider three possible constitutive relations to describe tumour growth, namely Darcy's law, Stokes' law and the combined Darcy-Stokes law. We study the tumour morphological stability described by each model and evaluate the consistency between theoretical model predictions and experimental data from in vitro three-dimensional multicellular tumour spheroids. The analysis reveals that the Stokes model is the most consistent with the experimental observations, and that it predicts our experimental tumour growth is marginally stable. We further show that it is feasible to extract parameter values from a limited set of data and create a self-consistent modelling framework that can be extended to the multi-scale study of cancer.
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.