Scientific Publications

MicroRNA expression profiles classify human cancers

Publication TypeJournal Article
AuthorsLu, Jun, Getz Gad, Miska Eric A., Alvarez-Saavedra Ezequiel, Lamb Justin, Peck David, Sweet-Cordero Alejandro, Ebert Benjamin L., Mak Raymond H., Ferrando Adolfo A., Downing James R., Jacks Tyler, Horvitz Robert H., and Golub Todd R.
AbstractRecent work has revealed the existence of a class of small non-coding RNA species, known as microRNAs (miRNAs), which have critical functions across various biological processes. Here we use a new, bead-based flow cytometric miRNA expression profiling method to present a systematic expression analysis of 217 mammalian miRNAs from 334 samples, including multiple human cancers. The miRNA profiles are surprisingly informative, reflecting the developmental lineage and differentiation state of the tumours. We observe a general downregulation of miRNAs in tumours compared with normal tissues. Furthermore, we were able to successfully classify poorly differentiated tumours using miRNA expression profiles, whereas messenger RNA profiles were highly inaccurate when applied to the same samples. These findings highlight the potential of miRNA profiling in cancer diagnosis.
Year of Publication2005
JournalNature
Volume435
Issue7043
Pages834 - 8
Date Published (YYYY/MM/DD)2005/06/09/
ISBN Number1476-4687
KeywordsAnimals, Cancer, Flow Cytometry, Gene Expression Profiling, Gene Expression Regulation, Humans, MicroRNAs, Neoplasms, Neoplastic, Sensitivity and Specificity