Related Experiment Video

Updated: May 7, 2026

Utilizing 18F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer
06:51

Utilizing 18F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer

Published on: July 21, 2018

Twenty-fifth annual Pezcoller Symposium: Metabolism and tumorigenesis

William Kaelin1, David Livingston, Massimo Loda

  • 1Authors' Affiliations: Dana Farber Cancer Institute; Harvard Medical School, Boston, Massachusetts; and The Beatson Institute for Cancer Research, Glasgow, Scotland.

Cancer Research
|October 8, 2013
PubMed

Insights

Targeting cancer

Area of Science:

  • Oncology and Metabolism Research
  • Cancer Cell Biology
  • Biochemistry and Molecular Biology

Background:

  • Altered cellular metabolism is a hallmark of cancer, involving key enzymes and pathways.
  • Dysregulation of tumor suppressor proteins like pVHL and signaling pathways (p53, p73, AMPK, mTOR) impacts cancer metabolism.
  • Epigenetic modifications, including histone acetylation and acetyl-CoA synthesis, are crucial in cancer development.

Framework:

  • Discusses targeting metabolic enzymes essential for tumors but not normal tissues.
  • Explores the role of O-linked β-N-acetylglucosamine in cancer metabolism regulation.
  • Highlights the interplay between aging, macrophage polarization, and cancer metabolism.

Implementation:

  • Introduces a novel computational model for personalized cancer metabolic profiling.
  • Details imaging techniques like MRI and (13)C-NMR for visualizing tumor metabolic characteristics.
  • Examines metabolic alterations in AML associated with IDH1/2 mutations and 2-hydroxyglutarate accumulation.

Implications:

  • Provides insights into novel therapeutic strategies by targeting cancer-specific metabolic vulnerabilities.
  • Enables personalized medicine approaches through computational modeling and advanced imaging.
  • Advances understanding of metabolic reprogramming in cancer and its clinical relevance.

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