Abstract

Genetic aberrations, such as gene amplification, deletions, and loss of heterozygosity, are hallmarks of cancer and are thought to be major contributors to the neoplastic process. Established cancer cell lines have been the primary in vitro and in vivo models for cancer for more than 2 decades; however, few such cell lines have been extensively characterized at the genomic level. Here, we present a high-resolution genome-wide chromosomal alteration and gene expression analyses of five of the most commonly used glioma cell lines and compare the findings with those observed in 83 primary human gliomas. Although genomic alterations known to occur in primary tumors were identified in the cell lines, we also observed several novel recurrent aberrations in the glioma cell lines that are not frequently represented in primary tumors. Additionally, a global gene expression cluster distinct from primary tumors was identified in the glioma cell lines. Our results indicate that established cell lines are generally a poor representation of primary tumor biology, presenting a host of genomic and gene expression changes not observed in primary tissues, although some discrete features of glioma biology were conserved in the established cell lines. Refined maps of genetic alterations and transcriptional divergence from the original tumor type, such as the one presented here, may help serve as a guideline for a more biologically rational and clinically relevant selection of the most appropriate glioma model for a given experiment.

Highlights

  • Changes to the normal DNA content, including copy number alterations (CNA) and allelic imbalances, and their resultant effects on gene transcription have long been recognized as hallmarks of cancer

  • Our findings show that established glioma cell lines and primary tumor have significant differences in both genomic alterations and gene expression, leading us to conclude that glioma cell lines may not be an accurate representation or model system for primary gliomas

  • The single nucleotide polymorphism (SNP) array profiles of the five established glioma cell lines presented a large number of CNAs as shown in Fig. 1 and Supplementary Table S1

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Summary

Introduction

Changes to the normal DNA content, including copy number alterations (CNA) and allelic imbalances, and their resultant effects on gene transcription have long been recognized as hallmarks of cancer. Due to the inherent difficulty in establishing and maintaining primary tumor cell cultures, established cell lines have been traditionally used to characterize the biological significance of specific genomic aberrations identified in primary tumors. The resulting chromosomal copy number changes and loss of heterogeneity can lead to alteration of oncogene and tumor suppressor gene dosage [2,3,4]. We recently published a highresolution genomic survey of 178 primary human gliomas using Affymetrix 100K single nucleotide polymorphism (SNP) arrays and identified many novel regions of gene copy number and allelic alterations [5], greatly expanding the public glioma genomics database that had previously been generated using comparative genomic hybridization We recently published a highresolution genomic survey of 178 primary human gliomas using Affymetrix 100K single nucleotide polymorphism (SNP) arrays and identified many novel regions of gene copy number and allelic alterations [5], greatly expanding the public glioma genomics database that had previously been generated using comparative genomic hybridization (CGH; refs. 2, 6-8)

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