A Glycolysis-Based In Silico Model for the Solid Tumor Growth

摘要: Cancer–tumor growth is a complex process depending on several biological factors, such as the chemical microenvironment of tumor, cellular metabolic profile, and its proliferation rate. Several mathematical models have been developed for identifying interactions between tumor cells tissue microenvironment, since they play an important role in formation progression. Toward this direction we propose new continuum model avascular glioma-tumor growth, which incorporates factor, namely, glycolytic potential cancer cells, to express three different tumor-cell populations (proliferative, hypoxic, necrotic) with their microenvironment. The engages vital nutrients, i.e., oxygen, glucose, lactate, provide necessary energy survival proliferation. Extensive simulations are performed evolution times various rates, order investigate how affected. According medical experts, experimental observations indicate that predicts quite satisfactorily overall well expansion each region separately. Following extensive evaluation, proposed may essential tool patient-specific simulation reliable prediction glioma spatiotemporal expansion.