The probable cell of origin of NF1- and PDGF-Driven glioblastomas Journal Article


Authors: Hambardzumyan, D.; Cheng, Y. K.; Haeno, H.; Holland, E. C.; Michor, F.
Article Title: The probable cell of origin of NF1- and PDGF-Driven glioblastomas
Abstract: Primary glioblastomas are subdivided into several molecular subtypes. There is an ongoing debate over the cell of origin for these tumor types where some suggest a progenitor while others argue for a stem cell origin. Even within the same molecular subgroup, and using lineage tracing in mouse models, different groups have reached different conclusions. We addressed this problem from a combined mathematical modeling and experimental standpoint. We designed a novel mathematical framework to identify the most likely cells of origin of two glioma subtypes. Our mathematical model of the unperturbed in vivo system predicts that if a genetic event contributing to tumor initiation imparts symmetric self-renewing cell division (such as PDGF overexpression), then the cell of origin is a transit amplifier. Otherwise, the initiating mutations arise in stem cells. The mathematical framework was validated with the RCAS/tv-a system of somatic gene transfer in mice. We demonstrated that PDGF-induced gliomas can be derived from GFAP-expressing cells of the subventricular zone or the cortex (reactive astrocytes), thus validating the predictions of our mathematical model. This interdisciplinary approach allowed us to determine the likelihood that individual cell types serve as the cells of origin of gliomas in an unperturbed system. © 2011 Hambardzumyan et al.
Keywords: platelet derived growth factor; controlled study; protein expression; gene mutation; human cell; nonhuman; mouse; animal tissue; gene; mus; cell division; gene overexpression; animal experiment; astrocyte; in vivo study; subventricular zone; validation study; prediction; carcinogenesis; cell type; gene transfer; mathematical model; glioblastoma; nf1 gene; pdgf gene
Journal Title: PLoS ONE
Volume: 6
Issue: 9
ISSN: 1932-6203
Publisher: Public Library of Science  
Date Published: 2011-01-01
Start Page: e24454
Language: English
DOI: 10.1371/journal.pone.0024454
PROVIDER: scopus
PMCID: PMC3170338
PUBMED: 21931722
DOI/URL:
Notes: --- - "Export Date: 3 October 2011" - "Source: Scopus"
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Hiroshi Haeno
    4 Haeno
  2. Eric Holland
    225 Holland
  3. Franziska Michor
    23 Michor
  4. Yu-Kang Cheng
    3 Cheng