Integrative transcriptome analysis identifies deregulated microRNA-transcription factor networks in lung adenocarcinoma

• DOI: 10.18632/oncotarget.8713
• Publication Date: 2016-04-13T02:28:51Z
• Authors: Naiara C. Cinegaglia; Sonia Cristina S....; Tomas Tokar; Maísa Pinheiro; Fábio E. Severino; Rogério A. Oliveira; Erica N. Hasimoto; Daniele C. Cataneo; Antônio J.M. Cataneo; Júlio Defaveri; Cristiano P. Souza; Márcia M.C. Marques; Robson F. Carvalho; Luiz L. Coutinho; Jefferson L. Gross; Silvia R. Rogatto; Wan L. Lam; Igor Jurisica; Patricia P. Reis
• Keywords: Pulmonology

// Naiara C. Cinegaglia 1 , Sonia Cristina S. Andrade 2,3 Tomas Tokar 13 Maísa Pinheiro 4 Fábio E. Severino Rogério A. Oliveira 5 Erica N. Hasimoto Daniele Cataneo Antônio J.M. Júlio Defaveri 6 Cristiano P. Souza 1,7 Márcia M.C. Marques 7,8 Robson F. Carvalho 9 Luiz L. Coutinho 2 Jefferson Gross 10 Silvia R. Rogatto 10,11 Wan Lam 12 Igor Jurisica 13,14 and Patricia Reis 1,15 Department of Surgery Orthopedics, São Paulo State University (UNESP), Botucatu, SP, Brazil Animal Biotechnology, (USP), Piracicaba, 3 Institute Biosciences, Paulo, Genetics, Biostatistics, Pathology, 7 Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, 8 School Health Sciences, Morphology, International Center Training (CIPE), Camargo 11 Urology, University, UNESP, Integrative Oncology, British Columbia Centre, Vancouver, BC, Canada Princess Margaret Network, Toronto, ON, 14 Departments Medical Biophysics Computer Science, 15 Experimental Unity (UNIPEX), Faculty Medicine, Correspondence to: Reis, email: Jurisica, Keywords : lung adenocarcinoma, transcriptome sequencing, microRNAs, transcription factor networks, molecular targets Received October 13, 2015 Accepted March 28, 2016 Published April 12, Abstract Herein, we aimed at identifying global microRNA (miRNA) changes miRNA target genes in adenocarcinoma. Samples were selected as training ( N = 24) independent validation 34) sets. Tissues microdissected to obtain >90% tumor or normal cells, subjected sequencing TaqMan quantitative PCR validation. We further integrated our data with published mRNA expression datasets across 1,491 adenocarcinoma 455 samples. identified known novel, significantly over- under-expressed p ≤ 0.01 FDR≤0.1) miRNAs compared tissue: let-7a, miR-10a, miR-15b, miR-23b, miR-26a, miR-26b, miR-29a, miR-30e, miR-99a, miR-146b, miR-181b, miR-181c, miR-421, miR-181a, miR-574 miR-1247. Validated included let-7a-2, let-7a-3, miR-21, miR-155 miR-200b; higher levels miR-21 associated lower patient survival 0.042 ). a regulatory network including miR-15b miR-155, factors prognostic value cancer. Our findings may contribute the development treatment strategies