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Identification of fatty acid amide hydrolase as a metastasis suppressor in breast cancer

Author

Listed:
  • Isabel Tundidor

    (Complutense University
    Instituto de Investigación Hospital 12 de Octubre)

  • Marta Seijo-Vila

    (Complutense University
    Instituto de Investigación Hospital 12 de Octubre)

  • Sandra Blasco-Benito

    (Complutense University
    Instituto de Investigación Hospital 12 de Octubre)

  • María Rubert-Hernández

    (Complutense University
    Instituto de Investigación Hospital 12 de Octubre)

  • Sandra Adámez

    (Complutense University)

  • Clara Andradas

    (Telethon Kids Institute
    University of Western Australia)

  • Sara Manzano

    (Biodonostia Health Research Institute)

  • Isabel Álvarez-López

    (Biodonostia Health Research Institute
    OSI Donostialdea—Onkologikoa Foundation)

  • Cristina Sarasqueta

    (Biodonostia Health Research Institute
    Biodonostia Health Research Institute)

  • María Villa-Morales

    (Centro de Biología Molecular Severo Ochoa (CBMSO) (CSIC-UAM)
    Autonomous University of Madrid)

  • Carmen González-Lois

    (Hospital Universitario Puerta de Hierro, Majadahonda)

  • Esther Ramírez-Medina

    (Hospital Universitario Puerta de Hierro, Majadahonda)

  • Belén Almoguera

    (Hospital Universitario Puerta de Hierro, Majadahonda)

  • Antonio J. Sánchez-López

    (Biobank Hospital Universitario Puerta de Hierro Majadahonda
    Instituto de Investigación Sanitaria Puerta de Hierro-Segovia de Arana (IDIPHISA))

  • Laura Bindila

    (University Medical Center)

  • Sigrid Hamann

    (University Hospital Schleswig-Holstein)

  • Norbert Arnold

    (University Hospital Schleswig-Holstein)

  • Christoph Röcken

    (University Hospital Schleswig-Holstein)

  • Ignacio Heras-Murillo

    (Centro Nacional de Investigaciones Cardiovasculares (CNIC))

  • David Sancho

    (Centro Nacional de Investigaciones Cardiovasculares (CNIC))

  • Gema Moreno-Bueno

    (Autonomous University of Madrid; Instituto de Investigación Hospital Universitario La Paz (IdiPaz); Centro de Investigación Biomédica en Red de Cáncer (CIBERONC))

  • María M. Caffarel

    (Biodonostia Health Research Institute
    Ikerbasque—Basque Foundation for Science)

  • Manuel Guzmán

    (Complutense University
    Instituto Ramón y Cajal de Investigación Sanitaria y Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED))

  • Cristina Sánchez

    (Complutense University
    Instituto de Investigación Hospital 12 de Octubre)

  • Eduardo Pérez-Gómez

    (Complutense University
    Instituto de Investigación Hospital 12 de Octubre)

Abstract

Clinical management of breast cancer (BC) metastasis remains an unmet need as it accounts for 90% of BC-associated mortality. Although the luminal subtype, which represents >70% of BC cases, is generally associated with a favorable outcome, it is susceptible to metastatic relapse as late as 15 years after treatment discontinuation. Seeking therapeutic approaches as well as screening tools to properly identify those patients with a higher risk of recurrence is therefore essential. Here, we report that the lipid-degrading enzyme fatty acid amide hydrolase (FAAH) is a predictor of long-term survival in patients with luminal BC, and that it blocks tumor progression and lung metastasis in cell and mouse models of BC. Together, our findings highlight the potential of FAAH as a biomarker with prognostic value in luminal BC and as a therapeutic target in metastatic disease.

Suggested Citation

  • Isabel Tundidor & Marta Seijo-Vila & Sandra Blasco-Benito & María Rubert-Hernández & Sandra Adámez & Clara Andradas & Sara Manzano & Isabel Álvarez-López & Cristina Sarasqueta & María Villa-Morales & , 2023. "Identification of fatty acid amide hydrolase as a metastasis suppressor in breast cancer," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38750-9
    DOI: 10.1038/s41467-023-38750-9
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    References listed on IDEAS

    as
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