ArticleFrontiers in oncology2013
The Need for Integrative Computational Oncology: An Illustrated Example through MMP-Mediated Tissue Degradation.
Article in Frontiers in oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed.
- A multi-state model of chemoresistance to characterize phenotypic dynamics in breast cancer.Scientific reports · 2018Article
- PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems.PLoS computational biology · 2018Article
- Model of vascular desmoplastic multispecies tumor growth.Journal of theoretical biology · 2017Article
- Progress Towards Computational 3-D Multicellular Systems Biology.Advances in experimental medicine and biology · 2016Review
- Simulating cancer: computational models in oncology.Frontiers in oncology · 2013Article
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Authors and funding
4 authors.
Funding
Abstract
PHYSICAL ONCOLOGY IS A GROWING FORCE IN CANCER RESEARCH, AND IT IS ENHANCED BY INTEGRATIVE COMPUTATIONAL ONCOLOGY: the fusion of novel experiments with mathematical and computational modeling. Computational models must be assessed with accurate numerical methods on correctly scaled tissues to avoid numerical artifacts that can cloud analysis. Simulation-driven analyses can only be validated by careful experiments. In this perspectives piece, we evaluate a current, widespread model of matrix metalloproteinase-driven tissue degradation during cancer invasion to illustrate that integrative computational oncology may not realize its fullest potential if either of these critical steps is neglected.
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Registered trials
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