Mutational profile of the PTEN gene in primary human astrocytic tumors and cultivated xenografts

74Citations
Citations of this article
23Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The genetic abnormality most frequently identified in glioblastomas is loss of alleles on chromosome 10. We have performed a comprehensive study of the PTEN tumor suppressor gene on 10q23, including loss of heterozygosity (LOH) analysis, multiplex PeR, mutation analysis, and reverse transcription PCR (RT-PCR). In total, 151 glioblastomas, 41 anaplastic astrocytomas, 15 astrocytomas, and 13 glioma cell lines were analyzed as well as 23 xenografts derived from primary glioblastomas, which allows a comparison of the PTEN gene status in primary tumors versus xenografts. Homozygous deletions were found in 7% of the glioblastomas and 40% showed mutation of a single retained allele. This mutation frequency is higher than reported previously. The large number of mutations identified allows the presentation of a mutational profile along the coding sequence. The majority of mutations appear to affect conserved residues or structurally conserved regions. PTEN alterations were selected for in xenografts, and there is evidence that they may even facilitate establishment of xenografts. No alterations were found in astrocytomas and only 5% of anaplastic astrocytomas had mutations. Thus, loss of wild type PTEN represents one of the major abnormalities associated with astrocytic tumor progression to glioblastoma and provides a strong selective growth advantage when cultivating glioblastoma tissue in xenografts. No correlation with EGFR amplification was evident.

Cite

CITATION STYLE

APA

Schmidt, E. E., Ichimura, K., Goike, H. M., Moshref, A., Liu, L., & Collins, P. V. (1999). Mutational profile of the PTEN gene in primary human astrocytic tumors and cultivated xenografts. Journal of Neuropathology and Experimental Neurology, 58(11), 1170–1183. https://doi.org/10.1097/00005072-199911000-00007

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free