toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
Details
   print
  Record Links
Author (up) Celiku, O.; Tandle, A.; Chung, J.-Y.; Hewitt, S.M.; Camphausen, K.; Shankavaram, U. url  doi
openurl 
  Title Computational analysis of the mesenchymal signature landscape in gliomas Type Journal Article
  Year 2017 Publication BMC Medical Genomics Abbreviated Journal BMC Med Genomics  
  Volume 10 Issue 1 Pages 13  
  Keywords Cd44; Computational modeling; Epithelial to mesenchymal transition; Glioma  
  Abstract BACKGROUND: Epithelial to mesenchymal transition, and mimicking processes, contribute to cancer invasion and metastasis, and are known to be responsible for resistance to various therapeutic agents in many cancers. While a number of studies have proposed molecular signatures that characterize the spectrum of such transition, more work is needed to understand how the mesenchymal signature (MS) is regulated in non-epithelial cancers like gliomas, to identify markers with the most prognostic significance, and potential for therapeutic targeting. RESULTS: Computational analysis of 275 glioma samples from “The Cancer Genome Atlas” was used to identify the regulatory changes between low grade gliomas with little expression of MS, and high grade glioblastomas with high expression of MS. TF (transcription factor)-gene regulatory networks were constructed for each of the cohorts, and 5 major pathways and 118 transcription factors were identified as involved in the differential regulation of the networks. The most significant pathway – Extracellular matrix organization – was further analyzed for prognostic relevance. A 20-gene signature was identified as having prognostic significance (HR (hazard ratio) 3.2, 95% CI (confidence interval) = 1.53-8.33), after controlling for known prognostic factors (age, and glioma grade). The signature's significance was validated in an independent data set. The putative stem cell marker CD44 was biologically validated in glioma cell lines and brain tissue samples. CONCLUSIONS: Our results suggest that the differences between low grade gliomas and high grade glioblastoma are associated with differential expression of the signature genes, raising the possibility that targeting these genes might prolong survival in glioma patients.  
  Address Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, 10 Center Drive, Bldg. 10, Rm. B3B70, Bethesda, MD, 20892, USA. uma@mail.nih.gov  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1755-8794 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:28279210 Approved no  
  Call Number ref @ user @ Serial 96602  
Permanent link to this record
Select All    Deselect All
 |   | 
Details
   print

Save Citations:
Export Records: