ReviewWorld journal of gastroenterology2007
Towards a multiscale model of colorectal cancer.
Review in World journal of gastroenterology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Mathematical modeling of multiple pathways in colorectal carcinogenesis using dynamical systems with Kronecker structure.PLoS computational biology · 2021Article
- Review
- Changes in cellular mechanical properties during onset or progression of colorectal cancer.World journal of gastroenterology · 2016Review
- Tumor growth in complex, evolving microenvironmental geometries: a diffuse domain approach.Journal of theoretical biology · 2014Article
- A stable scheme for a nonlinear, multiphase tumor growth model with an elastic membrane.International journal for numerical methods in biomedical engineering · 2014Article
- Applying ecological and evolutionary theory to cancer: a long and winding road.Evolutionary applications · 2013Article
- Integrated intravital microscopy and mathematical modeling to optimize nanotherapeutics delivery to tumors.AIP advances · 2012Article
- Article
- Physical oncology: a bench-to-bedside quantitative and predictive approach.Cancer research · 2011Review
- Predictions of tumour morphological stability and evaluation against experimental observations.Journal of the Royal Society, Interface · 2011Article
- An Adaptive Multigrid Algorithm for Simulating Solid Tumor Growth Using Mixture Models.Mathematical and computer modelling · 2011Article
- Mathematical Oncology: How Are the Mathematical and Physical Sciences Contributing to the War on Breast Cancer?Current breast cancer reports · 2010Article
- New models of neoplastic progression in Barrett's oesophagus.Biochemical Society transactions · 2010Review
- Nonlinear modelling of cancer: bridging the gap between cells and tumours.Nonlinearity · 2010Article
- An integrative computational model for intestinal tissue renewal.Cell proliferation · 2009Article
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
Colorectal cancer (CRC) is one of the best characterised cancers, with extensive data documenting the sequential gene mutations that underlie its development. Complementary datasets are also being generated describing changes in protein and RNA expression, tumour biology and clinical outcome. Both the quantity and the variety of information are inexorably increasing and there is now an accompanying need to integrate these highly disparate datasets. In this article we aim to explain why we believe that mathematical modelling represents a natural tool or language with which to integrate these data and, in so doing, to provide insight into CRC.
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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.