@Article{Niknafs_Han_Ma-The_lncRN_lands-2016, author = {Niknafs, Yashar S. and Han, Sumin and Ma, Teng and Speers, Corey and Zhang, Chao and Wilder-Romans, Kari and Iyer, Matthew K. and Pitchiaya, Sethuramasundaram and Malik, Rohit and Hosono, Yasuyuki and Prensner, John R. and Poliakov, Anton and Singhal, Udit and Xiao, Lanbo and Kregel, Steven and Siebenaler, Ronald F. and Zhao, Shuang G. and Uhl, Michael and Gawronski, Alexander and Hayes, Daniel F. and Pierce, Lori J. and Cao, Xuhong and Collins, Colin and Backofen, Rolf and Sahinalp, Cenk S. and Rae, James M. and Chinnaiyan, Arul M. and Feng, Felix Y.}, title = {The {lncRNA} landscape of breast cancer reveals a role for {DSCAM}-{AS1} in breast cancer progression}, journal = {Nat Commun}, year = {2016}, volume = {7}, number = {}, pages = {12791}, user = {wrightp}, pmid = {27666543}, doi = {10.1038/ncomms12791}, issn = {2041-1723}, 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.} }