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Differentially expressed microRNAs in lung adenocarcinoma invert effects of copy number aberrations of prognostic genes.
Tokar, Tomas; Pastrello, Chiara; Ramnarine, Varune R; Zhu, Chang-Qi; Craddock, Kenneth J; Pikor, Larrisa A; Vucic, Emily A; Vary, Simon; Shepherd, Frances A; Tsao, Ming-Sound; Lam, Wan L; Jurisica, Igor.
Affiliation
  • Tokar T; Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
  • Pastrello C; Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
  • Ramnarine VR; Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
  • Zhu CQ; The Vancouver Prostate Centre, Vancouver General Hospital, Vancouver, Canada.
  • Craddock KJ; Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
  • Pikor LA; Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
  • Vucic EA; Department of Integrative Oncology, British Columbia Cancer Research Centre, Vancouver, Canada.
  • Vary S; Department of Integrative Oncology, British Columbia Cancer Research Centre, Vancouver, Canada.
  • Shepherd FA; Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
  • Tsao MS; Mathematical Institute, University of Oxford, Oxford, United Kingdom.
  • Lam WL; Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia.
  • Jurisica I; Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Oncotarget ; 9(10): 9137-9155, 2018 Feb 06.
Article in En | MEDLINE | ID: mdl-29507679
In many cancers, significantly down- or upregulated genes are found within chromosomal regions with DNA copy number alteration opposite to the expression changes. Generally, this paradox has been overlooked as noise, but can potentially be a consequence of interference of epigenetic regulatory mechanisms, including microRNA-mediated control of mRNA levels. To explore potential associations between microRNAs and paradoxes in non-small-cell lung cancer (NSCLC) we curated and analyzed lung adenocarcinoma (LUAD) data, comprising gene expressions, copy number aberrations (CNAs) and microRNA expressions. We integrated data from 1,062 tumor samples and 241 normal lung samples, including newly-generated array comparative genomic hybridization (aCGH) data from 63 LUAD samples. We identified 85 "paradoxical" genes whose differential expression consistently contrasted with aberrations of their copy numbers. Paradoxical status of 70 out of 85 genes was validated on sample-wise basis using The Cancer Genome Atlas (TCGA) LUAD data. Of these, 41 genes are prognostic and form a clinically relevant signature, which we validated on three independent datasets. By meta-analysis of results from 9 LUAD microRNA expression studies we identified 24 consistently-deregulated microRNAs. Using TCGA-LUAD data we showed that deregulation of 19 of these microRNAs explains differential expression of the paradoxical genes. Our results show that deregulation of paradoxical genes is crucial in LUAD and their expression pattern is maintained epigenetically, defying gene copy number status.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Oncotarget Year: 2018 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Oncotarget Year: 2018 Document type: Article Affiliation country: Country of publication: