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Author Spotlight: Transmitochondrial Cybrid Generation Using Cancer Cell Lines
Published on: March 17, 2023
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Metabolic activity grows in human cancers pushed by phenotypic variability
Jesús J Bosque1, Gabriel F Calvo1, David Molina-García1
1Department of Mathematics, Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Ciudad Real, Spain.
Iscience
|February 27, 2023
Summary
Cancer aggressiveness is linked to metabolic reprogramming, detectable by positron emission tomography (PET). Maximum standardized uptake value (SUVmax) increases with metabolic tumor volume (MTV), suggesting non-genetic factors drive tumor evolution.
Area of Science:
- Oncology
- Medical Imaging
- Evolutionary Biology
Background:
- Cancer progression involves evolutionary processes leading to increased aggressiveness.
- Metabolic reprogramming fuels cancer growth and is detectable via positron emission tomography (PET).
- The maximum standardized uptake value (SUVmax) from PET scans has prognostic value but its link to tumor evolution is underexplored.
Purpose of the Study:
- To investigate the relationship between metabolic hotspot properties (SUVmax) and cancer evolutionary dynamics.
- To analyze how SUVmax, SUVmean, and metabolic tumor volume (MTV) relate in cancer patients.
- To model tumor growth dynamics incorporating phenotypic transitions.
Main Methods:
- Analysis of diagnostic PET images from 512 cancer patients.
- Quantitative assessment of SUVmax, SUVmean, and MTV.
- Development and application of a mechanistic evolutionary dynamics model.
Main Results:
- SUVmax demonstrated a superlinear scaling with SUVmean, indicating preferential metabolic activity accumulation.
- SUVmax showed a power-law increase with MTV.
- The observed patient data patterns were accurately replicated by the evolutionary dynamics model.
Conclusions:
- Tumor metabolic activity, as measured by PET, exhibits scaling properties related to tumor size and intensity.
- The findings suggest that non-genetic changes can drive sustained increases in tumor metabolic activity during cancer evolution.
- Metabolic hotspot dynamics provide insights into cancer evolutionary trajectories.
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