Cancer cell lines as genetic models of their parent histology: analyses based on array comparative genomic hybridization.

Details

Serval ID
serval:BIB_382DABD48253
Type
Article: article from journal or magazin.
Collection
Publications
Title
Cancer cell lines as genetic models of their parent histology: analyses based on array comparative genomic hybridization.
Journal
Cancer Research
Author(s)
Greshock J., Nathanson K., Martin A.M., Zhang L., Coukos G., Weber B.L., Zaks T.Z.
ISSN
0008-5472 (Print)
ISSN-L
0008-5472
Publication state
Published
Issued date
2007
Volume
67
Number
8
Pages
3594-3600
Language
english
Notes
Publication types: Journal Article ; Meta-AnalysisPublication Status: ppublish
Abstract
Tumor-derived cell lines are used as in vitro cancer models, but their ability to accurately reflect the phenotype and genotype of the parental histology remains questionable, given the prevalence of documented cell line-specific cytogenetic changes. We have addressed the issue of whether copy number alterations seen in tumor-derived cell lines reflect those observed in studies of fresh tissue by carrying out a meta-analysis of array-based comparative genomic hybridization data that considers both copy number alteration frequencies and the occurrence of cancer gene amplifications and homozygous deletions. Pairwise correlation comparisons between the data sets of seven diagnosis-specific matched tumor and cell line groups indicate that the trends in aberration frequencies are highly correlated between tumors and cell line sets of matched cancer histology relative to unmatched pairings. Despite their similarities, cell lines showed uniformly higher locus-specific alteration frequencies (P = 0.004) and several recurring cell line-specific alterations emerged. These include the previously documented losses of 13q and 9p and gains of 20q, as well as additional undescribed cell line-specific gains of 5p, 7p, and 17q and losses of 18q and 4q. These results indicate that, on average, cell lines preserve in vitro the genetic aberrations that are unique to the parent histology from which they were derived while acquiring additional locus-specific alterations. These data may enable a more predictive understanding of individual cell lines as in vitro models of cancer biology and therapy.
Keywords
Cell Line, Tumor, Chromosome Aberrations, Cluster Analysis, Humans, Neoplasms/genetics, Nucleic Acid Hybridization/methods
Pubmed
Web of science
Open Access
Yes
Create date
14/10/2014 11:43
Last modification date
20/08/2019 13:26
Usage data