TY  - JOUR
A1  - Volinia, Stefano
A1  - Galasso, Marco
A1  - Costinean, Stefan
A1  - Tagliavini, Luca
A1  - Gamberoni, Giacomo
A1  - Drusco, Alessandra
A1  - Marchesini, Jlenia
A1  - Mascellani, Nicoletta
A1  - Sana, Maria Elena
A1  - Abu Jarour, Ramzey
A1  - Desponts, Caroline
A1  - Teitell, Michael
A1  - Baffa, Raffaele
A1  - Aqeilan, Rami
A1  - Iorio, Marilena V.
A1  - Taccioli, Cristian
A1  - Garzon, Ramiro
A1  - Di Leva, Gianpiero
A1  - Fabbri, Muller
A1  - Catozzi, Marco
A1  - Previati, Maurizio
A1  - Ambs, Stefan
A1  - Palumbo, Tiziana
A1  - Garofalo, Michela
A1  - Veronese, Angelo
A1  - Bottoni, Arianna
A1  - Gasparini, Pierluigi
A1  - Harris, Curtis C.
A1  - Visone, Rosa
A1  - Pekarsky, Yuri
A1  - de la Chapelle, Albert
A1  - Bloomston, Mark
A1  - Dillhoff, Mary
A1  - Rassenti, Laura Z.
A1  - Kipps, Thomas J.
A1  - Huebner, Kay
A1  - Pichiorri, Flavia
A1  - Lenze, Dido
A1  - Cairo, Stefano
A1  - Buendia, Marie-Annick
A1  - Pineau, Pascal
A1  - Dejean, Anne
A1  - Zanesi, Nicola
A1  - Rossi, Simona
A1  - Calin, George A.
A1  - Liu, Chang-Gong
A1  - Palatini, Jeff
A1  - Negrini, Massimo
A1  - Vecchione, Andrea
A1  - Rosenberg, Anne
A1  - Croce, Carlo M.
T1  - Reprogramming of miRNA networks in cancer and leukemia
Y1  - 2010/05/01 
JF  - Genome Research 
JO  - Genome Research 
SP  - 589 
EP  - 599 
DO  - 10.1101/gr.098046.109 
VL  - 20 
IS  - 5 
UR  - http://genome.cshlp.org/content/20/5/589.abstract 
N2  - We studied miRNA profiles in 4419 human samples (3312 neoplastic, 1107 nonmalignant), corresponding to 50 normal tissues and 51 cancer types. The complexity of our database enabled us to perform a detailed analysis of microRNA (miRNA) activities. We inferred genetic networks from miRNA expression in normal tissues and cancer. We also built, for the first time, specialized miRNA networks for solid tumors and leukemias. Nonmalignant tissues and cancer networks displayed a change in hubs, the most connected miRNAs. hsa-miR-103/106 were downgraded in cancer, whereas hsa-miR-30 became most prominent. Cancer networks appeared as built from disjointed subnetworks, as opposed to normal tissues. A comparison of these nets allowed us to identify key miRNA cliques in cancer. We also investigated miRNA copy number alterations in 744 cancer samples, at a resolution of 150 kb. Members of miRNA families should be similarly deleted or amplified, since they repress the same cellular targets and are thus expected to have similar impacts on oncogenesis. We correctly identified hsa-miR-17/92 family as amplified and the hsa-miR-143/145 cluster as deleted. Other miRNAs, such as hsa-miR-30 and hsa-miR-204, were found to be physically altered at the DNA copy number level as well. By combining differential expression, genetic networks, and DNA copy number alterations, we confirmed, or discovered, miRNAs with comprehensive roles in cancer. Finally, we experimentally validated the miRNA network with acute lymphocytic leukemia originated in Mir155 transgenic mice. Most of miRNAs deregulated in these transgenic mice were located close to hsa-miR-155 in the cancer network. 
ER  -