IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-38750-9.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-38750-9
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-38750-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Alexander Lachmann & Denis Torre & Alexandra B. Keenan & Kathleen M. Jagodnik & Hoyjin J. Lee & Lily Wang & Moshe C. Silverstein & Avi Ma’ayan, 2018. "Massive mining of publicly available RNA-seq data from human and mouse," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    2. Christina Curtis & Sohrab P. Shah & Suet-Feung Chin & Gulisa Turashvili & Oscar M. Rueda & Mark J. Dunning & Doug Speed & Andy G. Lynch & Shamith Samarajiwa & Yinyin Yuan & Stefan Gräf & Gavin Ha & Gh, 2012. "The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups," Nature, Nature, vol. 486(7403), pages 346-352, June.
    3. Oscar M. Rueda & Stephen-John Sammut & Jose A. Seoane & Suet-Feung Chin & Jennifer L. Caswell-Jin & Maurizio Callari & Rajbir Batra & Bernard Pereira & Alejandra Bruna & H. Raza Ali & Elena Provenzano, 2019. "Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups," Nature, Nature, vol. 567(7748), pages 399-404, March.
    4. Anja Müller & Bernhard Homey & Hortensia Soto & Nianfeng Ge & Daniel Catron & Matthew E. Buchanan & Terri McClanahan & Erin Murphy & Wei Yuan & Stephan N. Wagner & Jose Luis Barrera & Alejandro Mohar , 2001. "Involvement of chemokine receptors in breast cancer metastasis," Nature, Nature, vol. 410(6824), pages 50-56, March.
    5. Andy J. Minn & Gaorav P. Gupta & Peter M. Siegel & Paula D. Bos & Weiping Shu & Dilip D. Giri & Agnes Viale & Adam B. Olshen & William L. Gerald & Joan Massagué, 2005. "Genes that mediate breast cancer metastasis to lung," Nature, Nature, vol. 436(7050), pages 518-524, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liang, Weijuan & Zhang, Qingzhao & Ma, Shuangge, 2024. "Hierarchical false discovery rate control for high-dimensional survival analysis with interactions," Computational Statistics & Data Analysis, Elsevier, vol. 192(C).
    2. S. Mouron & M. J. Bueno & A. Lluch & L. Manso & I. Calvo & J. Cortes & J. A. Garcia-Saenz & M. Gil-Gil & N. Martinez-Janez & J. V. Apala & E. Caleiras & Pilar Ximénez-Embún & J. Muñoz & L. Gonzalez-Co, 2022. "Phosphoproteomic analysis of neoadjuvant breast cancer suggests that increased sensitivity to paclitaxel is driven by CDK4 and filamin A," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    3. Mattia Rediti & David Venet & Andrea Joaquin Garcia & Marion Maetens & Delphine Vincent & Samira Majjaj & Sarra El-Abed & Serena Di Cosimo & Takayuki Ueno & Miguel Izquierdo & Martine Piccart & Lajos , 2024. "Identification of HER2-positive breast cancer molecular subtypes with potential clinical implications in the ALTTO clinical trial," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    4. Aleix Prat & Fara Brasó-Maristany & Olga Martínez-Sáez & Esther Sanfeliu & Youli Xia & Meritxell Bellet & Patricia Galván & Débora Martínez & Tomás Pascual & Mercedes Marín-Aguilera & Anna Rodríguez &, 2023. "Circulating tumor DNA reveals complex biological features with clinical relevance in metastatic breast cancer," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    5. Jonathan P. Ling & Alexei M. Bygrave & Clayton P. Santiago & Rogger P. Carmen-Orozco & Vickie T. Trinh & Minzhong Yu & Yini Li & Ying Liu & Kyra D. Bowden & Leighton H. Duncan & Jeong Han & Kamil Tane, 2022. "Cell-specific regulation of gene expression using splicing-dependent frameshifting," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    6. Hugh Chen & Scott M. Lundberg & Su-In Lee, 2022. "Explaining a series of models by propagating Shapley values," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    7. Xinan Yang & Kelly Regan & Yong Huang & Qingbei Zhang & Jianrong Li & Tanguy Y Seiwert & Ezra E W Cohen & H Rosie Xing & Yves A Lussier, 2012. "Single Sample Expression-Anchored Mechanisms Predict Survival in Head and Neck Cancer," PLOS Computational Biology, Public Library of Science, vol. 8(1), pages 1-18, January.
    8. Camilla Tombari & Alessandro Zannini & Rebecca Bertolio & Silvia Pedretti & Matteo Audano & Luca Triboli & Valeria Cancila & Davide Vacca & Manuel Caputo & Sara Donzelli & Ilenia Segatto & Simone Vodr, 2023. "Mutant p53 sustains serine-glycine synthesis and essential amino acids intake promoting breast cancer growth," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    9. R Joseph Bender & Feilim Mac Gabhann, 2013. "Expression of VEGF and Semaphorin Genes Define Subgroups of Triple Negative Breast Cancer," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-15, May.
    10. Hao Chen & Frederick J. King & Bin Zhou & Yu Wang & Carter J. Canedy & Joel Hayashi & Yang Zhong & Max W. Chang & Lars Pache & Julian L. Wong & Yong Jia & John Joslin & Tao Jiang & Christopher Benner , 2024. "Drug target prediction through deep learning functional representation of gene signatures," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    11. Caroline Hoffmann & Floriane Noel & Maximilien Grandclaudon & Lucile Massenet-Regad & Paula Michea & Philemon Sirven & Lilith Faucheux & Aurore Surun & Olivier Lantz & Mylene Bohec & Jian Ye & Weihua , 2022. "PD-L1 and ICOSL discriminate human Secretory and Helper dendritic cells in cancer, allergy and autoimmunity," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    12. Xun Yuan & Mingsheng Zhang & Hua Wu & Hanxiao Xu & Na Han & Qian Chu & Shiying Yu & Yuan Chen & Kongming Wu, 2015. "Expression of Notch1 Correlates with Breast Cancer Progression and Prognosis," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-13, June.
    13. Markus Ringnér & Erik Fredlund & Jari Häkkinen & Åke Borg & Johan Staaf, 2011. "GOBO: Gene Expression-Based Outcome for Breast Cancer Online," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-11, March.
    14. Chao-Hui Chang & Feng Liu & Stefania Militi & Svenja Hester & Reshma Nibhani & Siwei Deng & James Dunford & Aniko Rendek & Zahir Soonawalla & Roman Fischer & Udo Oppermann & Siim Pauklin, 2024. "The pRb/RBL2-E2F1/4-GCN5 axis regulates cancer stem cell formation and G0 phase entry/exit by paracrine mechanisms," Nature Communications, Nature, vol. 15(1), pages 1-29, December.
    15. Sandra M. Rocha & Sílvia Socorro & Luís A. Passarinha & Cláudio J. Maia, 2022. "Comprehensive Landscape of STEAP Family Members Expression in Human Cancers: Unraveling the Potential Usefulness in Clinical Practice Using Integrated Bioinformatics Analysis," Data, MDPI, vol. 7(5), pages 1-48, May.
    16. Jieqiong Zhang & Zhenhua Hu & Hwa Hwa Chung & Yun Tian & Kah Weng Lau & Zheng Ser & Yan Ting Lim & Radoslaw M. Sobota & Hwei Fen Leong & Benjamin Jieming Chen & Clarisse Jingyi Yeo & Shawn Ying Xuan T, 2023. "Dependency of NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    17. Xiaomei Li & Lin Liu & Gregory J Goodall & Andreas Schreiber & Taosheng Xu & Jiuyong Li & Thuc D Le, 2020. "A novel single-cell based method for breast cancer prognosis," PLOS Computational Biology, Public Library of Science, vol. 16(8), pages 1-20, August.
    18. Milton Pividori & Sumei Lu & Binglan Li & Chun Su & Matthew E. Johnson & Wei-Qi Wei & Qiping Feng & Bahram Namjou & Krzysztof Kiryluk & Iftikhar J. Kullo & Yuan Luo & Blair D. Sullivan & Benjamin F. V, 2023. "Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    19. F. Nadalin & M. J. Marzi & M. Pirra Piscazzi & P. Fuentes-Bravo & S. Procaccia & M. Climent & P. Bonetti & C. Rubolino & B. Giuliani & I. Papatheodorou & J. C. Marioni & F. Nicassio, 2024. "Multi-omic lineage tracing predicts the transcriptional, epigenetic and genetic determinants of cancer evolution," Nature Communications, Nature, vol. 15(1), pages 1-23, December.
    20. Lucas A. Mavromatis & Daniel B. Rosoff & Andrew S. Bell & Jeesun Jung & Josephin Wagner & Falk W. Lohoff, 2023. "Multi-omic underpinnings of epigenetic aging and human longevity," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38750-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.