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    Tumour–stromal interactions in acid-mediated invasion: A mathematical model

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    Type
    Article
    Authors
    Martin, Natasha K.
    Gaffney, Eamonn A.
    Gatenby, Robert A.
    Maini, Philip K.
    KAUST Grant Number
    KUK-C1-013-04
    Date
    2010-12
    Permanent link to this record
    http://hdl.handle.net/10754/600088
    
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    Abstract
    It is well established that the tumour microenvironment can both promote and suppress tumour growth and invasion, however, most mathematical models of invasion view the normal tissue as inhibiting tumour progression via immune modulation or spatial constraint. In particular, the production of acid by tumour cells and the subsequent creation of a low extracellular pH environment has been explored in several 'acid-mediated tumour invasion' models where the acidic environment facilitates normal cell death and permits tumour invasion. In this paper, we extend the acid-invasion model developed by Gatenby and Gawlinski (1996) to include both the competitive and cooperative interactions between tumour and normal cells, by incorporating the influence of extracellular matrix and protease production at the tumour-stroma interface. Our model predicts an optimal level of tumour acidity which produces both cell death and matrix degradation. Additionally, very aggressive tumours prevent protease production and matrix degradation by excessive normal cell destruction, leading to an acellular (but matrix filled) gap between the tumour and normal tissue, a feature seen in encapsulated tumours. These results suggest, counterintuitively, that increasing tumour acidity may, in some cases, prevent tumour invasion.
    Citation
    Martin NK, Gaffney EA, Gatenby RA, Maini PK (2010) Tumour–stromal interactions in acid-mediated invasion: A mathematical model. Journal of Theoretical Biology 267: 461–470. Available: http://dx.doi.org/10.1016/j.jtbi.2010.08.028.
    Sponsors
    Grant Support. NKM: This publication was funded by the National Cancer Institute, NIH grant U56CA113004. EAG: This publication is based on work supported in part by Award No. KUK-C1-013-04, made by King Abdullah University of Science and Technology (KAUST). PKM: This work was partially supported by a Royal Society-Wolfson Research Merit Award. RAG and PKM: This work was partially supported by NIH grant 1U54CA143970-01.
    Publisher
    Elsevier BV
    Journal
    Journal of Theoretical Biology
    DOI
    10.1016/j.jtbi.2010.08.028
    PubMed ID
    20816684
    PubMed Central ID
    PMC3005191
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.jtbi.2010.08.028
    Scopus Count
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