Increased glycolysis in transformed cells coupled with increased membr
ane Na+/H+ exchange produces significant environmental fluctuations in
and around tumors, including enhanced local glucose consumption and d
ecreased extracellular pH. This paper describes a mechanistic, resourc
e-based competition model that examines the effects of these environme
ntal changes on tumor-host interaction. By generating a critical param
eter (J) for each population at the tumor-host interface, the interact
ive dynamics can be predicted. Although necessarily limited by simplif
ying assumptions, the model demonstrates that the metabolic changes of
transformation and their environmental consequences could confer sign
ificant advantages on tumor populations by decreasing their J value an
d, through the generation of glucose and DH gradients, increasing the
J value of adjacent normal cells. Thus, the well-documented metabolic
changes associated with transformation, including increased glycolysis
, glucose utilization, and lactic acid production with reversal of the
normal intracellular-extracellular pH gradient, phenomena now consist
ently demonstrated in human tumors in situ, provide a potential mechan
ism of tumor invasion that is simple, complete, and sufficiently gener
al to apply to many classes of tumors. The model explicitly predicts t
hat in situ measurement of tumor glucose utilization and H+ production
will determine prognosis. Furthermore, it predicts therapies that chr
onically reduce tumor glucose utilization and/or H+ production or incr
ease the buffering capacity in normal tissue will be effective in tumo
r prevention and tumor treatment.