Tumor Metabolism Assessment
Tumor Metabolism Assessment - Related Videos
06:50
Advancements in the Metabolic Profiling of Three-Dimensional Brain Tumor Spheroids for Drug Screening
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Cited by 1 •
2025
Here, we establish a metabolic profiling platform integrating three-dimensional (3D) glioma spheroids and imaging-based normalization via extracellular flux analysis. This approach enables more accurate assessment of tumor metabolic responses to drug treatments and provides insights into potential mechanisms of resistance.
05:39
Extracellular Flux Assay in 3D Spheroids: A Method for Measuring the Metabolic Activity of Pancreatic Tumor Spheroids
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2023
This protocol describes the technique for performing extracellular flux assay on 3D spheroids generated from the co-culture of pancreatic cancer cells (Patu8902) and activated pancreatic fibroblasts (PS1) to measure the two major energy-producing pathways, glycolysis and mitochondrial respiration.
05:27
FDG Based PET/CT Scan: A Method of Using Radiotracer for Non-invasive Imaging of Tumor Metabolism
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2023
This article describes multimodality imaging of cancerous tissues with PET and CT diagnostic imaging by using a radiotracer 18F-FDG. Cancerous tissue with high glycolytic activity uptakes more 18F-FDG.
04:11
DCE-MRI of Orthotopic Pancreatic Tumor Xenografts: A Method to Assess Microvasculature in a Target Tumor Tissue
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2023
This video describes the technique of DCE-MRI for orthotropic pancreatic tumor xenografts in mice. DCE-MRI is a non-invasive method to analyze microvasculature in a target tissue, and useful to assess vascular response in a tumor following a novel therapy. This method will assist investigators to apply DCE-MRI for orthotopic gastrointestinal cancer mouse models.
04:13
A Technique to Assess the In Vivo Localization of Tumor-Specific Antibodies
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2025
This video demonstrates a technique to study the in vivo localization of tumor-specific antibodies in a mouse tumor xenograft model. Upon subcutaneously injecting cancer cells into mice for tumor formation, fluorescently-labeled antibodies are injected that bind to tumor-specific receptors, enabling in vivo assessment of antibody localization via imaging.
FAQs
The choice of readout determines which aspect of metabolism is examined. Glucose uptake and lactate production help assess glycolytic behavior, whereas oxygen consumption provides information about mitochondrial respiration. Measuring metabolite abundance adds information about metabolic state, while isotope-traced pathway flux follows how nutrients move through pathways. Together, these measurements connect nutrient use with energy production and biosynthetic activity.
Tumor Metabolism Assessment can reveal that metabolic behavior is not uniform across a tumor. Differences in nutrient use, glycolysis, mitochondrial respiration, or biosynthetic activity may indicate distinct cellular states and dependencies. Recognizing this variation matters because a metabolic vulnerability identified in one tumor region or cellular population may not represent the tumor as a whole.
Metabolite abundance reports which compounds are present, whereas isotope-traced pathway flux examines movement of nutrients through metabolic pathways. This distinction helps separate accumulation from pathway use. In cancer research, pairing abundance with flux can clarify whether altered metabolism reflects a changed metabolite pool, a change in pathway activity, or both, producing a more informative view of tumor biology.
Treatment-related changes can be evaluated by comparing readouts such as glucose uptake, lactate production, oxygen consumption, and metabolite abundance. Shifts in these measures can indicate altered cellular energy production or nutrient use after intervention. This supports evaluation of whether therapy affects a tumor’s metabolic state and helps identify treatment responses that warrant further study.
An assessment can be organized around complementary readouts rather than a single measurement. Glucose uptake and lactate production address glycolytic behavior, oxygen consumption addresses mitochondrial respiration, and metabolite abundance describes detected metabolic changes. Adding isotope-traced pathway flux extends the analysis to pathway use. Combining these outputs produces a broader profile for interpreting tumor metabolism.
The resulting metabolic profile can help characterize tumor biology, identify vulnerabilities created by altered nutrient use, and support biomarker development. In cancer research, these findings may also guide strategies that target metabolic dependencies alongside conventional therapies. Because the approach can reveal metabolic heterogeneity and treatment-related changes, it provides context for interpreting tumor behavior and therapeutic response.