Ontology highlight
ABSTRACT:
SUBMITTER: Niknafs YS
PROVIDER: S-EPMC5052669 | biostudies-literature | 2016 Sep
REPOSITORIES: biostudies-literature
Niknafs Yashar S YS Han Sumin S Ma Teng T Speers Corey C Zhang Chao C Wilder-Romans Kari K Iyer Matthew K MK Pitchiaya Sethuramasundaram S Malik Rohit R Hosono Yasuyuki Y Prensner John R JR Poliakov Anton A Singhal Udit U Xiao Lanbo L Kregel Steven S Siebenaler Ronald F RF Zhao Shuang G SG Uhl Michael M Gawronski Alexander A Hayes Daniel F DF Pierce Lori J LJ Cao Xuhong X Collins Colin C Backofen Rolf R Sahinalp Cenk S CS Rae James M JM Chinnaiyan Arul M AM Feng Felix Y FY
Nature communications 20160926
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 ca ...[more]