ArticleMathematical medicine and biology : a journal of the IMA2012
Computational investigation of intrinsic and extrinsic mechanisms underlying the formation of carcinoma.
Article in Mathematical medicine and biology : a journal of the IMA, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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Who cites it
8 citing papers in PubMed.
- Dynamics of Fibril Collagen Remodeling by Tumor Cells: A Model of Tumor-Associated Collagen Signatures.Cells · 2023Article
- Hybrid modeling frameworks of tumor development and treatment.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- Morphophenotypic classification of tumor organoids as an indicator of drug exposure and penetration potential.PLoS computational biology · 2019Article
- Homeostasis and systematic ageing as non-equilibrium phase transitions in computational multicellular organizations.Royal Society open science · 2019Article
- Towards personalized computational oncology: from spatial models of tumour spheroids, to organoids, to tissues.Journal of the Royal Society, Interface · 2018Review
- Quantification of dynamic morphological drug responses in 3D organotypic cell cultures by automated image analysis.PloS one · 2014Article
- Application of circuit simulation method for differential modeling of TIM-2 iron uptake and metabolism in mouse kidney cells.Frontiers in physiology · 2013Article
- Cellular modeling of cancer invasion: integration of in silico and in vitro approaches.Journal of cellular physiology · 2012Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The disruption of tissue epithelial architecture is thought to be involved in the initiation of cancer; however, little is known about the cell biology of early neoplastic lesions. Computational models can facilitate in the study of early cancer stagesby simulating different scenarios of tumour inception and by testing in silico the influence of various intrinsic and extrinsic factors on the emerging multicellular morphologies. Here, we have used a computational model to create 3D morphocharts, collections of multicellular morphologies arising from systematic modification of three model parameters defining cell sensitivity to external cues for cell growth, death and adhesion to the extracellular matrix. This systematic search revealed the ranges of parameter values for which robust epithelial structures formed and those that led to abnormal geometrical forms resembling tumour-like morphologies. We also showed how our model can be used to map morphologies of experimental multicellular systems onto their in silico counterpart via the cell sensitivity parameter space that may in turn allow us to identify genetic or epigenetic changes responsible for these morphological distortions.
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Registered trials
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