Literature DB >> 16203763

Morphologic instability and cancer invasion.

Vittorio Cristini1, Hermann B Frieboes, Robert Gatenby, Sergio Caserta, Mauro Ferrari, John Sinek.   

Abstract

PURPOSE: A solid tumor embedded in host tissue is a three-dimensional arrangement of cells and extracellular matrix that acts as a sink of oxygen and cell nutrients, thus establishing diffusional gradients. This and variations in vascular density and blood flow typically produce intratumoral regions of hypoxia and acidosis, and may result in spatially heterogeneous cell proliferation and migration. Here, we formulate the hypothesis that through these mechanisms, microenvironmental substrate gradients may drive morphologic instability with separation of cell clusters from the tumor edge and infiltration into surrounding normal tissue. EXPERIMENTAL
DESIGN: We used computer simulations and in vitro experiments.
RESULTS: We provide evidence that morphologic instability could be suppressed in vivo by spatially homogeneous oxygen and nutrient supply because normoxic conditions act both by decreasing gradients and increasing cell adhesion and, therefore, the mechanical forces that maintain a well-defined tumor boundary. A properly working tumor microvasculature can help maintain compact noninfiltrating tumor morphologies by minimizing oxygen and nutrient gradients. In contrast, antiangiogenic therapy, by increasing microenvironmental heterogeneity, may promote morphologic instability, leading to invasive patterns even under conditions in which the overall tumor mass shrinks.
CONCLUSIONS: We conclude that therapeutic strategies focused solely on reduction of vascular density may paradoxically increase invasive behavior. This theoretical model accounts for the highly variable outcome of antiangiogenic therapy in multiple clinical trials. We propose that antiangiogenic strategies will be more consistently successful when aimed at "normalizing" the vasculature and when combined with therapies that increase cell adhesion so that morphologic instability is suppressed and compact, noninvasive tumor morphologies are enforced.

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Year:  2005        PMID: 16203763     DOI: 10.1158/1078-0432.CCR-05-0852

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  60 in total

1.  Fractal analysis in a systems biology approach to cancer.

Authors:  M Bizzarri; A Giuliani; A Cucina; F D'Anselmi; A M Soto; C Sonnenschein
Journal:  Semin Cancer Biol       Date:  2011-04-13       Impact factor: 15.707

2.  An Adaptive Multigrid Algorithm for Simulating Solid Tumor Growth Using Mixture Models.

Authors:  S M Wise; J S Lowengrub; V Cristini
Journal:  Math Comput Model       Date:  2011-01-01

3.  An evolutionary hybrid cellular automaton model of solid tumour growth.

Authors:  P Gerlee; A R A Anderson
Journal:  J Theor Biol       Date:  2007-02-12       Impact factor: 2.691

Review 4.  Predictive oncology: a review of multidisciplinary, multiscale in silico modeling linking phenotype, morphology and growth.

Authors:  Sandeep Sanga; Hermann B Frieboes; Xiaoming Zheng; Robert Gatenby; Elaine L Bearer; Vittorio Cristini
Journal:  Neuroimage       Date:  2007-06-07       Impact factor: 6.556

5.  Multiparameter computational modeling of tumor invasion.

Authors:  Elaine L Bearer; John S Lowengrub; Hermann B Frieboes; Yao-Li Chuang; Fang Jin; Steven M Wise; Mauro Ferrari; David B Agus; Vittorio Cristini
Journal:  Cancer Res       Date:  2009-04-14       Impact factor: 12.701

6.  Modeling tumor cell shedding.

Authors:  S A Menchón; C A Condat
Journal:  Eur Biophys J       Date:  2009-01-09       Impact factor: 1.733

7.  Shape in migration: quantitative image analysis of migrating chemoresistant HCT-8 colon cancer cells.

Authors:  Alessia Pasqualato; Vittorio Lei; Alessandra Cucina; Simona Dinicola; Fabrizio D'Anselmi; Sara Proietti; Maria Grazia Masiello; Alessandro Palombo; Mariano Bizzarri
Journal:  Cell Adh Migr       Date:  2013-10-22       Impact factor: 3.405

8.  Front instabilities and invasiveness of simulated avascular tumors.

Authors:  Nikodem J Popławski; Ubirajara Agero; J Scott Gens; Maciej Swat; James A Glazier; Alexander R A Anderson
Journal:  Bull Math Biol       Date:  2009-02-21       Impact factor: 1.758

9.  Nonlinear studies of tumor morphological stability using a two-fluid flow model.

Authors:  Kara Pham; Emma Turian; Kai Liu; Shuwang Li; John Lowengrub
Journal:  J Math Biol       Date:  2018-03-15       Impact factor: 2.259

10.  Computer simulation of glioma growth and morphology.

Authors:  Hermann B Frieboes; John S Lowengrub; S Wise; X Zheng; Paul Macklin; Elaine L Bearer; Vittorio Cristini
Journal:  Neuroimage       Date:  2007-03-23       Impact factor: 6.556

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