Magnetic resonance spectroscopy detectable metabolomic fingerprint of response to antineoplastic treatment

Alessia Lodi1, Sabrina M Ronen

  • 1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, United States of America.

Plos One
|October 25, 2011
PubMed

Insights

Magnetic resonance spectroscopy (MRS) metabolomics offers a non-invasive method to detect early cancer treatment responses. This approach identified unique metabolic changes indicating drug action in prostate and breast cancer cells.

Area of Science:

  • Oncology
  • Metabolomics
  • Medical Imaging

Background:

  • Targeted cancer therapies require early response monitoring, which is challenging as treatments often inhibit growth rather than cause shrinkage.
  • Non-invasive methods are needed to track treatment response, especially for therapies targeting specific molecular pathways.
  • Magnetic resonance spectroscopy (MRS) can monitor cellular metabolism non-invasively, showing promise for early detection of treatment effects.

Purpose of the Study:

  • To investigate the metabolic consequences of targeted therapies using an unbiased magnetic resonance spectroscopic (MRS) metabolomics approach.
  • To identify specific metabolic signatures indicative of molecular drug action in cancer cell lines.

Main Methods:

  • Utilized proton (1H) MRS-based metabolomics to analyze metabolic changes in prostate and breast cancer cell lines.
  • Examined the effects of phosphoinositide 3-kinase inhibitor LY294002 and heat shock protein 90 inhibitor 17AAG on cellular metabolism.

Main Results:

  • LY294002 treatment decreased intracellular lactate, alanine, fumarate, phosphocholine, and glutathione.
  • 17AAG treatment decreased lactate, alanine, fumarate, and glutamine, while phosphocholine accumulated.
  • Citrate levels increased in prostate cancer cells following 17AAG treatment, a marker typically absent in tumors.

Conclusions:

  • MRS-based metabolomics can reveal complex signaling and metabolic pathway interactions.
  • This approach has the potential to identify specific metabolic signatures for monitoring molecular drug action in cancer therapy.

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