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Endogenous human microRNAs that suppress breast cancer metastasis

Author

Listed:
  • Sohail F. Tavazoie

    (Cancer Biology and Genetics Program,
    Department of Medicine,)

  • Claudio Alarcón

    (Cancer Biology and Genetics Program,)

  • Thordur Oskarsson

    (Cancer Biology and Genetics Program,)

  • David Padua

    (Cancer Biology and Genetics Program,)

  • Qiongqing Wang

    (Cancer Biology and Genetics Program,)

  • Paula D. Bos

    (Cancer Biology and Genetics Program,)

  • William L. Gerald

    (Memorial Sloan-Kettering Cancer Center, New York, New York 10021, USA)

  • Joan Massagué

    (Cancer Biology and Genetics Program,)

Abstract

A search for general regulators of cancer metastasis has yielded a set of microRNAs for which expression is specifically lost as human breast cancer cells develop metastatic potential. Here we show that restoring the expression of these microRNAs in malignant cells suppresses lung and bone metastasis by human cancer cells in vivo. Of these microRNAs, miR-126 restoration reduces overall tumour growth and proliferation, whereas miR-335 inhibits metastatic cell invasion. miR-335 regulates a set of genes whose collective expression in a large cohort of human tumours is associated with risk of distal metastasis. miR-335 suppresses metastasis and migration through targeting of the progenitor cell transcription factor SOX4 and extracellular matrix component tenascin C. Expression of miR-126 and miR-335 is lost in the majority of primary breast tumours from patients who relapse, and the loss of expression of either microRNA is associated with poor distal metastasis-free survival. miR-335 and miR-126 are thus identified as metastasis suppressor microRNAs in human breast cancer.

Suggested Citation

  • Sohail F. Tavazoie & Claudio Alarcón & Thordur Oskarsson & David Padua & Qiongqing Wang & Paula D. Bos & William L. Gerald & Joan Massagué, 2008. "Endogenous human microRNAs that suppress breast cancer metastasis," Nature, Nature, vol. 451(7175), pages 147-152, January.
    • Handle: RePEc:nat:nature:v:451:y:2008:i:7175:d:10.1038_nature06487
    DOI: 10.1038/nature06487
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    Cited by:

    1. Urmo Võsa & Tõnu Esko & Silva Kasela & Tarmo Annilo, 2015. "Altered Gene Expression Associated with microRNA Binding Site Polymorphisms," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-24, October.
    2. Fabricio F Costa & Jared M Bischof & Elio F Vanin & Rishi R Lulla & Min Wang & Simone T Sredni & Veena Rajaram & Maria de Fátima Bonaldo & Deli Wang & Stewart Goldman & Tadanori Tomita & Marcelo B Soa, 2011. "Identification of MicroRNAs as Potential Prognostic Markers in Ependymoma," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-10, October.
    3. Agius Phaedra & Ying Yiming & Campbell Colin, 2009. "Bayesian Unsupervised Learning with Multiple Data Types," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-27, June.

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