Literature DB >> 19887072

A quantitative theoretical model for the development of malignancy in ductal carcinoma in situ.

Ariosto S Silva1, Robert A Gatenby, Robert J Gillies, Jose Andres Yunes.   

Abstract

Mathematical models and clinical observations have demonstrated that microenvironmental hypoxia and acidosis are important selection factors during the later stages of the somatic evolution of breast cancer. The consequent promotion of constitutive upregulation of glycolysis and resistance to acid-induced cellular toxicity is hypothesized to be critical for the ability of cancer cells to invade host tissue. In this work we developed a 3D fixed lattice cellular automata model to study the role of these two phenotypes in determining morphology and the potential for invasion of ductal carcinoma in situ (DCIS), which in this work is defined as the erosion of a healthy epithelial cell layer and direct contact with the basement membrane. The model was conceived as a 40-cell wide epithelial duct surrounded by blood vessels and composed of a basement membrane and one internal layer of epithelial cells. Our results show that an increment in the order of 8-fold in glucose metabolism and an increase in acid resistance corresponding to pH thresholds of approximately 6.8 and 6.45 for quiescence and death, respectively, are required for the tumor to breach through the layer of healthy epithelial cells and reach the basement membrane as a first step for invasion. Our model also suggests correlations between classic morphologies and different values of hyperglycolytic and acid-resistant phenotypes, indicating that immunohistochemistry studies targeting these genes may improve the predictive power of morphological analyses of biopsies. (c) 2009 Elsevier Ltd. All rights reserved.

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Year:  2009        PMID: 19887072     DOI: 10.1016/j.jtbi.2009.10.031

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  12 in total

1.  A multiscale model of the bone marrow and hematopoiesis.

Authors:  Ariosto Silva; Alexander R A Anderson; Robert Gatenby
Journal:  Math Biosci Eng       Date:  2011-04       Impact factor: 2.080

2.  Enrichment map profiling of the cancer invasion front suggests regulation of colorectal cancer progression by the bone morphogenetic protein antagonist, gremlin-1.

Authors:  George S Karagiannis; Aaron Berk; Apostolos Dimitromanolakis; Eleftherios P Diamandis
Journal:  Mol Oncol       Date:  2013-04-18       Impact factor: 6.603

3.  Patient-calibrated agent-based modelling of ductal carcinoma in situ (DCIS): from microscopic measurements to macroscopic predictions of clinical progression.

Authors:  Paul Macklin; Mary E Edgerton; Alastair M Thompson; Vittorio Cristini
Journal:  J Theor Biol       Date:  2012-02-09       Impact factor: 2.691

4.  Systemic buffers inhibit carcinogenesis in TRAMP mice.

Authors:  Arig Ibrahim-Hashim; Heather H Cornnell; Dominique Abrahams; Mark Lloyd; Marilyn Bui; Robert J Gillies; Robert A Gatenby
Journal:  J Urol       Date:  2012-06-15       Impact factor: 7.450

5.  The interrelating dynamics of hypoxic tumor microenvironments and cancer cell phenotypes in cancer metastasis.

Authors:  Kai Bartkowiak; Sabine Riethdorf; Klaus Pantel
Journal:  Cancer Microenviron       Date:  2011-05-31

Review 6.  Integrative physical oncology.

Authors:  Haralampos Hatzikirou; Arnaud Chauviere; Amy L Bauer; André Leier; Michael T Lewis; Paul Macklin; Tatiana T Marquez-Lago; Elaine L Bearer; Vittorio Cristini
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2011-08-18

Review 7.  Extracellular vesicles as a platform for 'liquid biopsy' in glioblastoma patients.

Authors:  David R Santiago-Dieppa; Jeffrey Steinberg; David Gonda; Vincent J Cheung; Bob S Carter; Clark C Chen
Journal:  Expert Rev Mol Diagn       Date:  2014-09       Impact factor: 5.225

8.  Tumor growth and calcification in evolving microenvironmental geometries.

Authors:  Ying Chen; John S Lowengrub
Journal:  J Theor Biol       Date:  2018-12-05       Impact factor: 2.691

Review 9.  Hybrid models of tumor growth.

Authors:  Katarzyna A Rejniak; Alexander R A Anderson
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2011 Jan-Feb

10.  Automated reconstruction algorithm for identification of 3D architectures of cribriform ductal carcinoma in situ.

Authors:  Kerri-Ann Norton; Sameera Namazi; Nicola Barnard; Mariko Fujibayashi; Gyan Bhanot; Shridar Ganesan; Hitoshi Iyatomi; Koichi Ogawa; Troy Shinbrot
Journal:  PLoS One       Date:  2012-09-06       Impact factor: 3.240

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