TY - JOUR
T1 - The role of IDH1 mutated tumour cells in secondary glioblastomas
T2 - An evolutionary game theoretical view
AU - Basanta, David
AU - Scott, Jacob G.
AU - Rockne, Russ
AU - Swanson, Kristin R.
AU - Anderson, Alexander R.A.
PY - 2011/2
Y1 - 2011/2
N2 - Recent advances in clinical medicine have elucidated two significantly different subtypes of which carry very different prognoses, both defined by mutations in isocitrate dehydrogenase-1 (IDH-1). The mechanistic consequences of this mutation have not yet been fully clarified, with conflicting opinions existing in the literature; however, IDH-1 mutation may be used as a surrogate marker to distinguish between primary and secondary glioblastoma multiforme (sGBM) from malignant progression of a lower grade glioma. We develop a mathematical model of IDH-1 mutated secondary glioblastoma using evolutionary game theory to investigate the interactions between four different phenotypic populations within the tumor: autonomous growth, invasive, glycolytic, and the hybrid invasive/glycolytic cells. Our model recapitulates glioblastoma behavior well and is able to reproduce two recent experimental findings, as well as make novel predictions concerning the rate of invasive growth as a function of vascularity, and fluctuations in the proportions of phenotypic populations that a glioblastoma will experience under different microenvironmental constraints.
AB - Recent advances in clinical medicine have elucidated two significantly different subtypes of which carry very different prognoses, both defined by mutations in isocitrate dehydrogenase-1 (IDH-1). The mechanistic consequences of this mutation have not yet been fully clarified, with conflicting opinions existing in the literature; however, IDH-1 mutation may be used as a surrogate marker to distinguish between primary and secondary glioblastoma multiforme (sGBM) from malignant progression of a lower grade glioma. We develop a mathematical model of IDH-1 mutated secondary glioblastoma using evolutionary game theory to investigate the interactions between four different phenotypic populations within the tumor: autonomous growth, invasive, glycolytic, and the hybrid invasive/glycolytic cells. Our model recapitulates glioblastoma behavior well and is able to reproduce two recent experimental findings, as well as make novel predictions concerning the rate of invasive growth as a function of vascularity, and fluctuations in the proportions of phenotypic populations that a glioblastoma will experience under different microenvironmental constraints.
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U2 - 10.1088/1478-3975/8/1/015016
DO - 10.1088/1478-3975/8/1/015016
M3 - Article
C2 - 21301070
AN - SCOPUS:79951932661
SN - 1478-3967
VL - 8
JO - Physical Biology
JF - Physical Biology
IS - 1
M1 - 015016
ER -