Investigating the Link between Molecular Subtypes of Glioblastoma, Epithelial-Mesenchymal Transition, and CD133 Cell Surface Protein

Autor: Sheila K. Singh, Sendurai A. Mani, Hadi Zarkoob, Mohammad Kohandel, Joseph H. Taube
Rok vydání: 2013
Předmět:
lcsh:Medicine
0302 clinical medicine
Molecular Cell Biology
Basic Cancer Research
Tumor Cells
Cultured

Genome Databases
Cluster Analysis
AC133 Antigen
lcsh:Science
Neurological Tumors
Cells
Cultured

Oligonucleotide Array Sequence Analysis
Regulation of gene expression
0303 health sciences
Multidisciplinary
medicine.diagnostic_test
Brain Neoplasms
Genomics
Cadherins
Flow Cytometry
Neural stem cell
Oncology
030220 oncology & carcinogenesis
embryonic structures
Medicine
Cellular Types
Research Article
Epithelial-Mesenchymal Transition
Biology
Flow cytometry
03 medical and health sciences
Antigens
CD

Genetics
Cancer Genetics
medicine
Humans
Epithelial–mesenchymal transition
Gene
Glycoproteins
030304 developmental biology
Cadherin
Gene Expression Profiling
lcsh:R
Cell Membrane
Mesenchymal stem cell
Computational Biology
Cancers and Neoplasms
Epithelial Cells
Molecular biology
Gene expression profiling
Cancer research
lcsh:Q
Glioblastoma
Peptides
Glioblastoma Multiforme
Zdroj: PLoS ONE
PLoS ONE, Vol 8, Iss 5, p e64169 (2013)
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0064169
Popis: In this manuscript, we use genetic data to provide a three-faceted analysis on the links between molecular subclasses of glioblastoma, epithelial-to-mesenchymal transition (EMT) and CD133 cell surface protein. The contribution of this paper is three-fold: First, we use a newly identified signature for epithelial-to-mesenchymal transition in human mammary epithelial cells, and demonstrate that genes in this signature have significant overlap with genes differentially expressed in all known GBM subtypes. However, the overlap between genes up regulated in the mesenchymal subtype of GBM and in the EMT signature was more significant than other GBM subtypes. Second, we provide evidence that there is a negative correlation between the genetic signature of EMT and that of CD133 cell surface protein, a putative marker for neural stem cells. Third, we study the correlation between GBM molecular subtypes and the genetic signature of CD133 cell surface protein. We demonstrate that the mesenchymal and neural subtypes of GBM have the strongest correlations with the CD133 genetic signature. While the mesenchymal subtype of GBM displays similarity with the signatures of both EMT and CD133, it also exhibits some differences with each of these signatures that are partly due to the fact that the signatures of EMT and CD133 are inversely related to each other. Taken together these data shed light on the role of the mesenchymal transition and neural stem cells, and their mutual interaction, in molecular subtypes of glioblastoma multiforme.
Databáze: OpenAIRE