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The lncRNA landscape of breast cancer reveals a role for DSCAM-AS1 in breast cancer progression

Author

Listed:
  • Yashar S. Niknafs

    (Michigan Center for Translational Pathology, University of Michigan
    University of Michigan)

  • Sumin Han

    (University of Michigan)

  • Teng Ma

    (University of Michigan
    Beijing Key Laboratory for Radiobiology (BKLRB), Beijing Institute of Radiation Medicine)

  • Corey Speers

    (University of Michigan
    Breast Oncology Program, University of Michigan
    Comprehensive Cancer Center, University of Michigan)

  • Chao Zhang

    (University of Michigan)

  • Kari Wilder-Romans

    (University of Michigan)

  • Matthew K. Iyer

    (Michigan Center for Translational Pathology, University of Michigan
    Department of Computational Medicine and Bioinformatics)

  • Sethuramasundaram Pitchiaya

    (Michigan Center for Translational Pathology, University of Michigan)

  • Rohit Malik

    (Michigan Center for Translational Pathology, University of Michigan)

  • Yasuyuki Hosono

    (Michigan Center for Translational Pathology, University of Michigan)

  • John R. Prensner

    (Michigan Center for Translational Pathology, University of Michigan)

  • Anton Poliakov

    (Michigan Center for Translational Pathology, University of Michigan)

  • Udit Singhal

    (Michigan Center for Translational Pathology, University of Michigan
    Howard Hughes Medical Institute, University of Michigan)

  • Lanbo Xiao

    (Michigan Center for Translational Pathology, University of Michigan)

  • Steven Kregel

    (Michigan Center for Translational Pathology, University of Michigan)

  • Ronald F. Siebenaler

    (Michigan Center for Translational Pathology, University of Michigan)

  • Shuang G. Zhao

    (University of Michigan)

  • Michael Uhl

    (University of Freiburg)

  • Alexander Gawronski

    (School of Computing Science, Simon Fraser University)

  • Daniel F. Hayes

    (Breast Oncology Program, University of Michigan
    Comprehensive Cancer Center, University of Michigan
    University of Michigan)

  • Lori J. Pierce

    (University of Michigan
    Breast Oncology Program, University of Michigan
    Comprehensive Cancer Center, University of Michigan)

  • Xuhong Cao

    (Michigan Center for Translational Pathology, University of Michigan
    Howard Hughes Medical Institute, University of Michigan)

  • Colin Collins

    (Vancouver Prostate Centre)

  • Rolf Backofen

    (University of Freiburg)

  • Cenk S. Sahinalp

    (School of Computing Science, Simon Fraser University
    School of Informatics and Computing, Indiana University
    Vancouver Prostate Centre)

  • James M. Rae

    (Breast Oncology Program, University of Michigan
    Comprehensive Cancer Center, University of Michigan
    University of Michigan)

  • Arul M. Chinnaiyan

    (Michigan Center for Translational Pathology, University of Michigan
    University of Michigan
    Breast Oncology Program, University of Michigan
    Comprehensive Cancer Center, University of Michigan)

  • Felix Y. Feng

    (Michigan Center for Translational Pathology, University of Michigan
    University of Michigan
    Breast Oncology Program, University of Michigan
    Comprehensive Cancer Center, University of Michigan)

Abstract

Molecular classification of cancers into subtypes has resulted in an advance in our understanding of tumour biology and treatment response across multiple tumour types. However, to date, cancer profiling has largely focused on protein-coding genes, which comprise

Suggested Citation

  • Yashar S. Niknafs & Sumin Han & Teng Ma & Corey Speers & Chao Zhang & Kari Wilder-Romans & Matthew K. Iyer & Sethuramasundaram Pitchiaya & Rohit Malik & Yasuyuki Hosono & John R. Prensner & Anton Poli, 2016. "The lncRNA landscape of breast cancer reveals a role for DSCAM-AS1 in breast cancer progression," Nature Communications, Nature, vol. 7(1), pages 1-13, November.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12791
    DOI: 10.1038/ncomms12791
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