Your browser doesn't support javascript.
loading
microRNA expression patterns across seven cancers are highly correlated and dominated by evolutionarily ancient families.
Devor, Eric J; Schickling, Brandon M; Leslie, Kimberly K.
Afiliação
  • Devor EJ; Department of Obstetrics and Gynecology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA.
  • Schickling BM; Department of Internal Medicine, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA.
  • Leslie KK; Department of Obstetrics and Gynecology, University of Iowa Carver College of Medicine, Iowa City, IA 52242, USA ; Holden Comprehensive Cancer Center, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA.
Biomed Rep ; 2(3): 384-387, 2014 May.
Article em En | MEDLINE | ID: mdl-24748979
ABSTRACT
microRNAs (miRNAs) are involved in almost all normal and pathogenic eukaryotic cell processes. One area in which the influence of miRNAs is most prominent is cancer. Numerous expression surveys and more focused studies have revealed miRNA involvement in carcinogenesis, cellular pathology, cell behavior and prognosis. Large-scale comparisons of miRNA expression in varioius types of cancer have not been previously possible. However, The Cancer Genome Atlas (TCGA), an extensive multi-centered effort to characterize the genomes of hundreds of types of cancer, has enabled such comparisons. In the present study, the expression patterns of hundreds of miRNAs in thousands of tumors covering seven types of cancer uterine corpus adenocarcinoma, ovarian serous adenocarcinoma, breast adenocarcinoma, prostate adenocarcinoma, pancreatic adenocarcinoma, colorectal adenocarcinoma, and lung adenocarcinoma were analyzed. The results showed that miRNA expression patterns among these cancer types are highly correlated (0.874>ρ>0.974) and that miRNA expression in all seven cancer types is dominated by miRNAs belonging to the most evolutionarily ancient miRNA families. This raises the possibility that more ancient miRNAs are involved in the fundamental cell processes that are central to tumor evolution.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2014 Tipo de documento: Article