Tumor morphology and phenotypic evolution driven by selective pressure from the microenvironment.

By A. Anderson, Alissa M. Weaver, Peter T. Cummings, V. Quaranta. Cell, 2006

772 citations recorded by the source corpus.

Subfields: Cell Biology, Modeling and Simulation, Oncology

View Paper: https://www.semanticscholar.org/paper/922e06f2467d93cf0401400b04ac02e5b2d42927

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Citations in the corpus

The tumor microenvironment. (2012, background): “On the contrary, “mild conditions” characterized by a homogenous ECM leads to no clonal dominance and a tumor with smooth, noninvasive margins [53].”
On the foundations of cancer modelling: Selected topics, speculations, and perspectives (2008, methodology): “Furthermore, recent work by Anderson et al.16 utilises a hybrid discrete model incorporating cell-adhesion, cellmigration and phenotypic mutations, and suggests invasive “fingering” is driven by environmental heterogeneity.”
Extracellular matrix structure. (2016, background): “Transport of drug molecules through interstitial tissue is depend on convection and diffusion [354].”
CLONAL EVOLUTION IN CANCER (2012, background): “Mathematical modelling shows cancer-clone evolutionary selection for more robust or malignant phenotypes is less likely in more stable or homogeneous micro-environment”
Three-dimensional multispecies nonlinear tumor growth--I Model and numerical method. (2008, methodology): “…cellular automaton and agent based models (e.g., see the works of Alarcon et al., 2003; Jiang et al., 2005; Anderson, 2005; Abbott et al., 2006; Anderson et al., 2006; Lee and Rieger, 2006; Bauer et al., 2007; Gerlee and Anderson, 2007a, b; Bartha and Rieger, 2006), single-phase continuum…”
A spatial model predicts that dispersal and cell turnover limit intratumour heterogeneity (2015, methodology): “Many models of spatially expanding tumours were proposed in the past [13,14,15,16,17,18,21,45,46,47,48], but they either assume very few [13,15,45,47,49,50,51] or no new mutations at all [14,19,20,46,52,53], or one- or two-dimensional growth [14,15,16,17,54,55].”
Tumors as organs: complex tissues that interface with the entire organism (2010, positive): “Thus, mathematical modeling may facilitate the prediction of malignant behavior based on knowledge of the tissue context (Anderson et al., 2006; Shields et al., 2007; Smallbone et al., 2007).”