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MicroRNA expression profiles classify human cancers

Author

Listed:
  • Jun Lu

    (Broad Institute of MIT and Harvard
    Dana-Farber Cancer Institute and Harvard Medical School)

  • Gad Getz

    (Broad Institute of MIT and Harvard)

  • Eric A. Miska

    (Massachusetts Institute of Technology
    University of Cambridge)

  • Ezequiel Alvarez-Saavedra

    (Massachusetts Institute of Technology)

  • Justin Lamb

    (Broad Institute of MIT and Harvard)

  • David Peck

    (Broad Institute of MIT and Harvard)

  • Alejandro Sweet-Cordero

    (MIT Center for Cancer Research
    Dana-Farber Cancer Institute and Harvard Medical School)

  • Benjamin L. Ebert

    (Broad Institute of MIT and Harvard
    Dana-Farber Cancer Institute and Harvard Medical School)

  • Raymond H. Mak

    (Broad Institute of MIT and Harvard
    Dana-Farber Cancer Institute and Harvard Medical School)

  • Adolfo A. Ferrando

    (Dana-Farber Cancer Institute and Harvard Medical School)

  • James R. Downing

    (St. Jude Children's Research Hospital)

  • Tyler Jacks

    (Massachusetts Institute of Technology
    MIT Center for Cancer Research)

  • H. Robert Horvitz

    (Massachusetts Institute of Technology
    Harvard Medical School)

  • Todd R. Golub

    (Broad Institute of MIT and Harvard
    Dana-Farber Cancer Institute and Harvard Medical School
    Harvard Medical School)

Abstract

MicroRNA in cancer MicroRNAs are regulatory, non-coding RNAs about 22 nucleotides in length: over 200 have been identified in humans, and their functions are beginning to be pinned down. It has been suggested that like other regulatory molecules they might be involved in tumour formation, and three papers in this issue confirm that this is the case. One cluster of microRNAs, known as mir-17–92, is shown to be a potential oncogene by its action in an in vivo model of human B-cell lymphoma. A cluster of microRNAs on human chromosome 13 has been found to be regulated by c-Myc, an important transcription factor that is overexpressed in many human cancers. And analysis of microRNA expression in over 300 individuals shows that microRNA profiles could be of value in cancer diagnosis. There is a global downregulation of microRNA in tumours, and the microRNA profile also reflects the origin and differentiation state of the tumours.

Suggested Citation

  • Jun Lu & Gad Getz & Eric A. Miska & Ezequiel Alvarez-Saavedra & Justin Lamb & David Peck & Alejandro Sweet-Cordero & Benjamin L. Ebert & Raymond H. Mak & Adolfo A. Ferrando & James R. Downing & Tyler , 2005. "MicroRNA expression profiles classify human cancers," Nature, Nature, vol. 435(7043), pages 834-838, June.
    • Handle: RePEc:nat:nature:v:435:y:2005:i:7043:d:10.1038_nature03702
    DOI: 10.1038/nature03702
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    Cited by:

    1. Poonam Kataria & Neha Surela & Amrendra Chaudhary & Jyoti Das, 2022. "MiRNA: Biological Regulator in Host-Parasite Interaction during Malaria Infection," IJERPH, MDPI, vol. 19(4), pages 1-11, February.
    2. Jain Yashita & Ding Shanshan & Qiu Jing, 2019. "Sliced inverse regression for integrative multi-omics data analysis," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 18(1), pages 1-13, February.
    3. Chen, Albert Y. & Yu, Ting-Yi, 2016. "Network based temporary facility location for the Emergency Medical Services considering the disaster induced demand and the transportation infrastructure in disaster response," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 408-423.
    4. Julia E. Rager & Rebecca C. Fry, 2012. "The Aryl Hydrocarbon Receptor Pathway: A Key Component of the microRNA-Mediated AML Signalisome," IJERPH, MDPI, vol. 9(5), pages 1-15, May.
    5. Rao Youlan & Lee Yoonkyung & Jarjoura David & Ruppert Amy S & Liu Chang-gong & Hsu Jason C & Hagan John P, 2008. "A Comparison of Normalization Techniques for MicroRNA Microarray Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 7(1), pages 1-20, July.

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