MicroRNA expression profiling of thymic epithelial tumors

Federica Ganci, Carmen Vico, Etleva Korita, Andrea Sacconi, Enzo Gallo, Federica Mori, Annamaria Cambria, Emanuele Russo, Marco Anile, Domenico Vitolo, Edoardo Pescarmona, Rosario Blandino, Francesco Facciolo, Federico Venuta, Giovanni Blandino, Mirella Marino, Francesco Fazi

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Thymic epithelial tumors (TET) are the most frequent human primary mediastinal tumors in adults. A deep biological characterization of the processes at the basis of the transformed phenotype could strongly improve our understanding of the morphological and clinical heterogeneity of these diseases. MicroRNAs (miRNAs) are non-coding RNAs involved in post-transcriptional regulation and their altered expression accounts for the pathogenesis of several tumors. Objectives: The aim of this study was to identify the miRNAs that are differentially expressed in tumor vs normal thymic tissues or among the different tumor histotypes and that could impact on the biology of TET. Materials and methods: microRNAs expression profiling was performed by microarray analysis of formalin-fixed paraffin embedded (FFPE) tissue from 54 thymic tumor samples and 12 normal counterparts, derived from two patient cohorts. Results and conclusion: We identified groups of miRNAs differentially expressed between: (i) TET and normal thymic tissues, (ii) thymomas and thymic carcinomas, (iii) histotype groups. Moreover, we identified putative molecular pathways targeted by these differentially expressed miRNAs that could be involved in thymic carcinogenesis and in the maintenance and spreading of this tumor.

Original languageEnglish
Pages (from-to)197-204
Number of pages8
JournalLung Cancer
Volume85
Issue number2
DOIs
Publication statusPublished - 2014

Keywords

  • EGFR
  • MicroRNAs
  • MiR-145
  • Thymic epithelial tumors

ASJC Scopus subject areas

  • Oncology
  • Pulmonary and Respiratory Medicine
  • Cancer Research
  • Medicine(all)

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