Targeting Subtype-Specific Metabolic Preferences in Nucleotide Biosynthesis Inhibits Tumor Growth in a Breast Cancer

Martin P Ogrodzinski1,2, Shao Thing Teoh1, Sophia Y Lunt3,4

  • 1Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan.

Cancer Research
|October 29, 2020
PubMed

Insights

Cancer cells rewire their metabolism. This study reveals distinct nucleotide metabolism differences between epithelial-mesenchymal transition (EMT) and papillary breast cancer subtypes, identifying new therapeutic targets for these difficult-to-treat cancers.

Area of Science:

  • Oncology
  • Cancer Metabolism
  • Molecular Biology

Background:

  • Metabolic rewiring is a hallmark of cancer, offering potential therapeutic targets.
  • Breast cancer comprises heterogeneous subtypes with varying clinical outcomes and treatment responses.
  • Targeted therapies for certain breast cancer subtypes remain limited, necessitating novel treatment strategies.

Purpose of the Study:

  • To investigate metabolic differences between epithelial-mesenchymal transition (EMT) and papillary breast cancer subtypes.
  • To identify distinct metabolic vulnerabilities in these subtypes for targeted therapeutic development.

Main Methods:

  • Utilized MMTV-Myc-driven tumors to model breast cancer heterogeneity.
  • Employed genomic and metabolomic techniques to analyze metabolic profiles.
  • Applied CRISPR/Cas9 gene editing and mass spectrometry for functional validation.

Main Results:

  • Identified significant differences in nucleotide metabolism between EMT and papillary subtypes.
  • EMT tumors preferentially utilized the nucleotide salvage pathway; papillary tumors preferred de novo nucleotide biosynthesis.
  • Targeting the preferred nucleotide pathway in each subtype demonstrated greater metabolic impact and inhibited tumor growth.

Conclusions:

  • Distinct metabolic pathway utilization characterizes EMT and papillary breast cancer subtypes.
  • Nucleotide salvage and de novo biosynthesis pathways represent promising, subtype-specific therapeutic targets.
  • These findings support the development of novel diagnostic and treatment strategies for breast cancer.

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