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Title

MicroRNA-Dependent Regulation of Transcription in Non-Small Cell Lung Cancer

AuthorsMolina-Pinelo, Sonia; Pastor, María Dolores; Hergueta-Redondo, Marta; Moreno-Bueno, Gema ; García-Carbonero, Rocío ; Nogal, Ana; Suárez, Rocío; Salinas, Ana; Agulló-Ortuño, María Teresa ; Ferrer, Irene; Palacios Calvo, José ; Carnero, Amancio ; Paz-Ares, Luis
Issue Date13-Mar-2014
PublisherPublic Library of Science
CitationPLoS ONE 9(3): e90524 (2014)
AbstractSquamous cell lung cancer (SCC) and adenocarcinoma are the most common histological subtypes of non-small cell lung cancer (NSCLC), and have been traditionally managed in the clinic as a single entity. Increasing evidence, however, illustrates the biological diversity of these two histological subgroups of lung cancer, and supports the need to improve our understanding of the molecular basis beyond the different phenotypes if we aim to develop more specific and individualized targeted therapy. The purpose of this study was to identify microRNA (miRNA)-dependent transcriptional regulation differences between SCC and adenocarcinoma histological lung cancer subtypes. In this work, paired miRNA (667 miRNAs by TaqMan Low Density Arrays (TLDA)) and mRNA profiling (Whole Genome 44 K array G112A, Agilent) was performed in tumor samples of 44 NSCLC patients. Nine miRNAs and 56 mRNAs were found to be differentially expressed in SCC versus adenocarcinoma samples. Eleven of these 56 mRNA were predicted as targets of the miRNAs identified to be differently expressed in these two histological conditions. Of them, 6 miRNAs (miR-149, miR-205, miR-375, miR-378, miR- 422a and miR-708) and 9 target genes (CEACAM6, CGN, CLDN3, ABCC3, MLPH, ACSL5, TMEM45B, MUC1) were validated by quantitative PCR in an independent cohort of 41 lung cancer patients. Furthermore, the inverse correlation between mRNAs and microRNAs expression was also validated. These results suggest miRNA-dependent transcriptional regulation differences play an important role in determining key hallmarks of NSCLC, and may provide new biomarkers for personalized treatment strategies.
DescriptionThis is an open-access article distributed under the terms of the Creative Commons Attribution License.-- et al.
Publisher version (URL)http://dx.doi.org/10.1371/journal.pone.0090524
URIhttp://hdl.handle.net/10261/95232
DOI10.1371/journal.pone.0090524
ISSN1932-6203
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(IBIS) Artículos
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