Fatty acid synthase: a druggable driver of breast cancer brain metastasis.


Journal

Expert opinion on therapeutic targets
ISSN: 1744-7631
Titre abrégé: Expert Opin Ther Targets
Pays: England
ID NLM: 101127833

Informations de publication

Date de publication:
05 2022
Historique:
pubmed: 13 5 2022
medline: 9 6 2022
entrez: 12 5 2022
Statut: ppublish

Résumé

Brain metastasis (BrM) is a key contributor to morbidity and mortality in breast cancer patients, especially among high-risk epidermal growth factor receptor 2-positive (HER2+) and triple-negative/basal-like molecular subtypes. Optimal management of BrM is focused on characterizing a 'BrM dependency map' to prioritize targetable therapeutic vulnerabilities. We review recent studies addressing the targeting of BrM in the lipid-deprived brain environment, which selects for brain-tropic breast cancer cells capable of cell-autonomously generating fatty acids by upregulating Targeting FASN represents a new therapeutic opportunity for patients with breast cancer and BrM. Delivery of brain-permeable FASN inhibitors and identifying strategies to target metabolic plasticity that might compensate for impaired brain FASN activity are two potential roadblocks that may hinder FASN-centered strategies against BrM.

Identifiants

pubmed: 35545806
doi: 10.1080/14728222.2022.2077189
doi:

Substances chimiques

Fatty Acid Synthases EC 2.3.1.85

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

427-444

Auteurs

Javier A Menendez (JA)

Metabolism and Cancer Group, Program Against Cancer Therapeutic Resistance (ProCURE), Catalan Institute of Oncology, Girona, Spain.
Girona Biomedical Research Institute (IDIBGI), Girona, Spain.

Ruth Lupu (R)

Department of Laboratory Medicine and Pathology, Division of Experimental Pathology, Mayo Clinic, Rochester, MN, USA.
Department of Biochemistry and Molecular Biology Laboratory, Mayo Clinic Minnesota, Rochester, MN, USA.
Mayo Clinic Cancer Center, Rochester, MN, USA.

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Classifications MeSH