Mapping Novel Metabolic Nodes Targeted by Anti-Cancer Drugs that Impair Triple-Negative Breast Cancer Pathogenicity.
ACS Chem Biol
; 12(4): 1133-1140, 2017 04 21.
Article
en En
| MEDLINE
| ID: mdl-28248089
ABSTRACT
Triple-negative breast cancers (TNBCs) are estrogen receptor, progesterone receptor, and HER2 receptor-negative subtypes of breast cancers that show the worst prognoses and lack targeted therapies. Here, we have coupled the screening of â¼400 anticancer agents that are under development or in the clinic with chemoproteomic and metabolomic profiling to identify novel metabolic mechanisms for agents that impair TNBC pathogenicity. We identify 20 anticancer compounds that significantly impaired cell survival across multiple types of TNBC cells. Among these 20 leads, the phytoestrogenic natural product licochalcone A was of interest, since TNBCs are unresponsive to estrogenic therapies, indicating that licochalcone A was likely acting through another target. Using chemoproteomic profiling approaches, we reveal that licochalcone A impairs TNBC pathogenicity, not through modulating estrogen receptor activity but rather through inhibiting prostaglandin reductase 1, a metabolic enzyme involved in leukotriene B4 inactivation. We also more broadly performed metabolomic profiling to map additional metabolic mechanisms of compounds that impair TNBC pathogenicity. Overlaying lipidomic profiling with drug responses, we find that deubiquitinase inhibitors cause dramatic elevations in acyl carnitine levels, which impair mitochondrial respiration and contribute to TNBC pathogenic impairments. We thus put forth two unique metabolic nodes that are targeted by drugs or drug candidates that impair TNBC pathogenicity. Our results also showcase the utility of coupling drug screens with chemoproteomic and metabolomic profiling to uncover unique metabolic drivers of TNBC pathogenicity.
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Base de datos:
MEDLINE
Asunto principal:
Metabolómica
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Neoplasias de la Mama Triple Negativas
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Antineoplásicos
Idioma:
En
Revista:
ACS Chem Biol
Año:
2017
Tipo del documento:
Article