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The lncRNA landscape of breast cancer reveals a role for DSCAM-AS1 in breast cancer progression.
Niknafs, Yashar S; Han, Sumin; Ma, Teng; Speers, Corey; Zhang, Chao; Wilder-Romans, Kari; Iyer, Matthew K; Pitchiaya, Sethuramasundaram; Malik, Rohit; Hosono, Yasuyuki; Prensner, John R; Poliakov, Anton; Singhal, Udit; Xiao, Lanbo; Kregel, Steven; Siebenaler, Ronald F; Zhao, Shuang G; Uhl, Michael; Gawronski, Alexander; Hayes, Daniel F; Pierce, Lori J; Cao, Xuhong; Collins, Colin; Backofen, Rolf; Sahinalp, Cenk S; Rae, James M; Chinnaiyan, Arul M; Feng, Felix Y.
Afiliación
  • Niknafs YS; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Han S; Department of Cellular and Molecular Biology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Ma T; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Speers C; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Zhang C; Department of Radiation Toxicology and Oncology, Beijing Key Laboratory for Radiobiology (BKLRB), Beijing Institute of Radiation Medicine, Beijing 100850, P. R. China.
  • Wilder-Romans K; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Iyer MK; Breast Oncology Program, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Pitchiaya S; Comprehensive Cancer Center, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Malik R; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Hosono Y; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Prensner JR; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Poliakov A; Department of Computational Medicine and Bioinformatics, Ann Arbor, Michigan 48109, USA.
  • Singhal U; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Xiao L; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Kregel S; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Siebenaler RF; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Zhao SG; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Uhl M; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Gawronski A; Howard Hughes Medical Institute, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Hayes DF; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Pierce LJ; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Cao X; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Collins C; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Backofen R; Department of Computer Science and Centre for Biological Signaling Studies (BIOSS), University of Freiburg, Freiburg 79110, Germany.
  • Sahinalp CS; School of Computing Science, Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6.
  • Rae JM; Breast Oncology Program, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Chinnaiyan AM; Comprehensive Cancer Center, University of Michigan, Ann Arbor, Michigan 48109, USA.
  • Feng FY; Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA.
Nat Commun ; 7: 12791, 2016 09 26.
Article en En | MEDLINE | ID: mdl-27666543
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 <1% of the genome. Here we leverage a compendium of 58,648 long noncoding RNAs (lncRNAs) to subtype 947 breast cancer samples. We show that lncRNA-based profiling categorizes breast tumours by their known molecular subtypes in breast cancer. We identify a cohort of breast cancer-associated and oestrogen-regulated lncRNAs, and investigate the role of the top prioritized oestrogen receptor (ER)-regulated lncRNA, DSCAM-AS1. We demonstrate that DSCAM-AS1 mediates tumour progression and tamoxifen resistance and identify hnRNPL as an interacting protein involved in the mechanism of DSCAM-AS1 action. By highlighting the role of DSCAM-AS1 in breast cancer biology and treatment resistance, this study provides insight into the potential clinical implications of lncRNAs in breast cancer.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / ARN Largo no Codificante Límite: Female / Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / ARN Largo no Codificante Límite: Female / Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos