Identification of differentially expressed microRNAs by microarray: A possible role for microRNA genes in pituitary adenomas
Article first published online: 16 NOV 2006
Copyright © 2006 Wiley-Liss, Inc.
Journal of Cellular Physiology
Volume 210, Issue 2, pages 370–377, February 2007
How to Cite
Bottoni, A., Zatelli, M. C., Ferracin, M., Tagliati, F., Piccin, D., Vignali, C., Calin, G. A., Negrini, M., Croce, C. M. and degli Uberti, E. C. (2007), Identification of differentially expressed microRNAs by microarray: A possible role for microRNA genes in pituitary adenomas. J. Cell. Physiol., 210: 370–377. doi: 10.1002/jcp.20832
- Issue published online: 22 NOV 2006
- Article first published online: 16 NOV 2006
- Manuscript Accepted: 24 JUL 2006
- Manuscript Received: 21 JUL 2006
- Italian Ministry of University and Scientific and Technological Research (University of Ferrara). Grant Number: MIUR 2005 060 839-004
- Fondazione Cassa di Risparmio di Ferrara
- Associazione Ferrarese dell'Ipertensione Arteriosa
MicroRNAs (miRNAs) are small non-coding RNAs that control gene expression by targeting mRNA. It has been demonstrated that miRNA expression is altered in many human cancers, suggesting that they may play a role in human neoplasia. To determine whether miRNA expression is altered in pituitary adenomas, we analyzed the entire miRNAome in 32 pituitary adenomas and in 6 normal pituitary samples by microarray and by Real-Time PCR. Here, we show that 30 miRNAs are differentially expressed between normal pituitary and pituitary adenomas. Moreover, 24 miRNAs were identified as a predictive signature of pituitary adenoma and 29 miRNAs were able to predict pituitary adenoma histotype. miRNA expression could differentiate micro- from macro-adenomas and treated from non-treated patient samples. Several of the identified miRNAs are involved in cell proliferation and apoptosis, suggesting that their deregulated expression may be involved in pituitary tumorigenesis. Predictive miRNAs could be potentially useful diagnostic markers, improving the classification of pituitary adenomas. J. Cell. Physiol. 210: 370–377, 2007. © 2006 Wiley-Liss, Inc.