4.8 Article

Metabolic-Pathway-Based Subtyping of Triple-Negative Breast Cancer Reveals Potential Therapeutic Targets

Journal

CELL METABOLISM
Volume 33, Issue 1, Pages 51-+

Publisher

CELL PRESS
DOI: 10.1016/j.cmet.2020.10.012

Keywords

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Funding

  1. National Natural Science Foundation of China [81922048, 81874112, 81874113, 81572583, 81502278]
  2. Program of Shanghai Academic/Technology Research Leader [20XD1421100]
  3. Fok Ying Tong Education Foundation for College Young Teachers [171034]
  4. Chen Guang'' project - Shanghai Municipal Education Commission
  5. Shanghai Education Development Foundation [17CG01]
  6. Shanghai Pujiang Program [18PJD007]
  7. Innovation Team of Ministry of Education [IRT1223]
  8. Shanghai Key Laboratory of Breast Cancer [12DZ2260100]

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This study investigated metabolic dysregulation in TNBCs using a multi-omics database, identifying three heterogeneous metabolic-pathway-based subtypes with distinct metabolic features. These subtypes had different prognoses, molecular subtype distributions, and genomic alterations, as well as varying sensitivities to metabolic inhibitors targeting fatty acid synthesis and glycolysis. Additionally, inhibition of lactate dehydrogenase could enhance tumor response to anti-PD-1 immunotherapy in specific TNBC subtypes.
Triple-negative breast cancer (TNBC) remains an unmet medical challenge. We investigated metabolic dysregulation in TNBCs by using our multi-omics database (n = 465, the largest to date). TNBC samples were classified into three heterogeneous metabolic-pathway-based subtypes (MPSs) with distinct metabolic features: MPS1, the lipogenic subtype with upregulated lipid metabolism; MPS2, the glycolytic subtype with upregulated carbohydrate and nucleotide metabolism; and MPS3, the mixed subtype with partial pathway dysregulation. These subtypes were validated by metabolomic profiling of 72 samples. These three subtypes had distinct prognoses, molecular subtype distributions, and genomic alterations. Moreover, MPS1 TNBCs were more sensitive to metabolic inhibitors targeting fatty acid synthesis, whereas MPS2 TNBCs showed higher sensitivity to inhibitors targeting glycolysis. Importantly, inhibition of iactate dehydrogenase could enhance tumor response to anti-PD-1 immunotherapy in MPS2 TNBCs. Collectively, our analysis demonstrated the metabolic heterogeneity of TNBCs and enabled the development of personalized therapies targeting unique tumor metabolic profiles.

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