Defining the landscape of metabolic dysregulations in cancer metastasis

Sara Abdul Kader1,2, Shaima Dib1, Iman W Achkar1

  • 1Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, 24144, Doha, Qatar.

Insights

Metastatic breast cancer cells show distinct metabolic differences, including altered glycolysis, lipid metabolism, and branched-chain amino acid pathways. These metabolic signatures offer new targets for developing effective cancer therapies.

Area of Science:

  • Oncology
  • Metabolomics
  • Cancer Biology

Background:

  • Metastasis is a leading cause of cancer mortality, with limited therapeutic targets.
  • Understanding cancer cell metabolism is crucial for developing novel treatment strategies.
  • Metabolic signatures of highly metastatic cells remain largely unexplored.

Purpose of the Study:

  • To identify metabolic dysregulations associated with high metastatic potential in triple-negative breast cancer (TNBC) cell lines.
  • To compare metabolic profiles of high metastatic potential (HMP) and low metastatic potential (LMP) TNBC cells.
  • To uncover metabolic vulnerabilities in metastatic cancer cells.

Main Methods:

  • Utilized untargeted metabolic profiling of five TNBC cell lines (three HMP, two LMP) and one normal breast cell line.
  • Quantified 479 metabolites in cells and growth media.
  • Analyzed metabolic differences between HMP and LMP cell lines.

Main Results:

  • Identified 92 differentially abundant metabolites in cells and 22 in growth media between HMP and LMP TNBC lines.
  • HMP cells exhibited elevated levels of metabolites in glycolysis, the TCA cycle, and lipid metabolism.
  • Discovered the role of branched-chain amino acid (BCAA) catabolism and pro-coagulation molecules in supporting metastasis.

Conclusions:

  • Metabolic dysregulations in HMP TNBC cells extend beyond glycolysis, involving BCAA metabolism and coagulation pathways.
  • These identified metabolic features provide a roadmap for targeted therapeutic interventions.
  • Characterizing metabolic landscapes can guide the development of strategies against metastatic cancer.

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