Related Experiment Videos
Glucose diffusivity in multicellular tumor spheroids
J J Casciari1, S V Sotirchos, R M Sutherland
1Experimental Therapeutics Division, University of Rochester Cancer Center, NY 14627.
Cancer Research
|July 15, 1988
Summary
Understanding glucose diffusion in tumors is key for cancer research. This study measured glucose diffusivity in multicellular tumor spheroids, revealing values low enough to suggest significant glucose gradients within tumors, impacting growth and heterogeneity.
Area of Science:
- Oncology
- Biophysics
- Biochemistry
Background:
- Multicellular tumor spheroids (MCTSs) are used as models for solid tumors.
- Glucose availability is a critical factor influencing tumor growth and cellular heterogeneity.
- Accurate measurement of glucose diffusion is essential for understanding these limitations.
Purpose of the Study:
- To determine the effective diffusion coefficient of glucose in various tumor spheroids.
- To investigate the implications of glucose diffusion rates on spheroid growth and cellular characteristics.
Main Methods:
- Utilized tritium-labeled L-glucose as a diffusion tracer to measure efflux from spheroids.
- Applied the diffusion equation, accounting for L-glucose binding, to calculate effective glucose diffusivity.
- Conducted experiments on EMT6/Ro mouse mammary tumor spheroids and human tumor cell lines (HT29, CO112, WiDr, CaSki, A431).
Main Results:
- Effective glucose diffusivity in EMT6/Ro spheroids was measured at 1.1 x 10^-6 cm²/s.
- Glucose diffusion coefficients in human tumor spheroids ranged from 5.5 x 10^-7 cm²/s to 2.3 x 10^-7 cm²/s.
- These diffusion values are sufficiently low to indicate potential glucose concentration gradients within spheroids and tumors.
Conclusions:
- The determined glucose diffusivities suggest that glucose limitations may significantly influence spheroid and tumor growth.
- Variations in glucose diffusion coefficients across different cell lines highlight cell-specific factors affecting nutrient transport.
- These findings have implications for understanding tumor cell heterogeneity and developing targeted therapies.