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The microcosmos of cancer

Author

Listed:
  • Amaia Lujambio

    (Cancer Biology and Genetics Program, Memorial Sloan-Kettering Cancer Center (MSKCC))

  • Scott W. Lowe

    (Cancer Biology and Genetics Program, Memorial Sloan-Kettering Cancer Center (MSKCC)
    Howard Hughes Medical Institute, MSKCC)

Abstract

The discovery of microRNAs (miRNAs) almost two decades ago established a new paradigm of gene regulation. During the past ten years these tiny non-coding RNAs have been linked to virtually all known physiological and pathological processes, including cancer. In the same way as certain key protein-coding genes, miRNAs can be deregulated in cancer, in which they can function as a group to mark differentiation states or individually as bona fide oncogenes or tumour suppressors. Importantly, miRNA biology can be harnessed experimentally to investigate cancer phenotypes or used therapeutically as a target for drugs or as the drug itself.

Suggested Citation

  • Amaia Lujambio & Scott W. Lowe, 2012. "The microcosmos of cancer," Nature, Nature, vol. 482(7385), pages 347-355, February.
    • Handle: RePEc:nat:nature:v:482:y:2012:i:7385:d:10.1038_nature10888
    DOI: 10.1038/nature10888
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    Cited by:

    1. Sébastien L Floor & Aline Hebrant & Jaime M Pita & Manuel Saiselet & Christophe Trésallet & Frederick Libert & Guy Andry & Jacques E Dumont & Wilma C van Staveren & Carine Maenhaut, 2014. "MiRNA Expression May Account for Chronic but Not for Acute Regulation of mRNA Expression in Human Thyroid Tumor Models," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-9, November.
    2. Melissa Vos & Ruben Boers & Anne L M Vriends & Joachim Boers & Patricia F van Kuijk & Winan J van Houdt & Geert J L H van Leenders & Michal Wagrodzki & Wilfred F J van IJcken & Joost Gribnau & Dirk J , 2020. "MicroRNA expression and DNA methylation profiles do not distinguish between primary and recurrent well-differentiated liposarcoma," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-16, January.
    3. Erik Andrews & Yue Wang & Tian Xia & Wenqing Cheng & Chao Cheng, 2017. "Contextual Refinement of Regulatory Targets Reveals Effects on Breast Cancer Prognosis of the Regulome," PLOS Computational Biology, Public Library of Science, vol. 13(1), pages 1-20, January.
    4. Emilie Estrabaud & Kevin Appourchaux & Ivan Bièche & Fabrice Carrat & Martine Lapalus & Olivier Lada & Michelle Martinot-Peignoux & Nathalie Boyer & Patrick Marcellin & Michel Vidaud & Tarik Asselah, 2015. "IFI35, mir-99a and HCV Genotype to Predict Sustained Virological Response to Pegylated-Interferon Plus Ribavirin in Chronic Hepatitis C," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-19, April.

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