Comparative genomic hybridization analysis of 38 breast cancer cell lines: A basis for interpreting complementary DNA microarray data

Farahnaz Forozan, Eija H. Mahlamäki, Outi Monni, Yidong Chen, Robin Veldman, Yuan Jiang, Gerald C. Gooden, Stephen P. Ethier, Anne Kallioniemi, Olli P. Kallioniemi

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238 Scopus citations

Abstract

Breast cancer cell lines provide a useful starting point for the discovery and functional analysis of genes involved in breast cancer. Here, we studied 38 established breast cancer cell lines by comparative genomic hybridization (CGH) to determine recurrent genetic alterations and the extent to which these cell lines resemble uncultured tumors. The following chromosomal gains were observed: 8q (75%), 1q (61%), 20q (55%), 7p (44%), 3q (39%), 5p (39%), 7q (39%), 17q (33%), 1p (30%), and 20p (30%), and the most common losses were: 8p (58%), 18q (58%), 1p (42%), Xp (42%), Xq (42%), 4p (36%), 11q (36%), 18p (33%), 10q (30%), and 19p (28%). Furthermore, 35 recurrent high-level amplification sites were identified, most often involving 8q23 (37%), 20q13 (29%), 3q25-q26 (24%), 17q22-q23 (16%), 17q23-q24 (16%), 1p13 (11%), 1q32 (11%), 5p13 (11%), 5p14 (11%), 11q13 (11%), 17q12-q21 (11%), and 7q21-q22 (11%). A comparison of DNA copy number changes found in the cell lines with those reported in 17 published studies (698 tumors) of uncultured tumors revealed a substantial degree of overlap. CGH copy number profiles may facilitate identification of important new genes located at the hotspots of such chromosomal alterations. This was illustrated by analyzing expression levels of 1236 genes using cDNA microarrays in four of the cell lines. Several highly overexpressed genes (such as RCH1 at 17q23, TOPO II at 17q21-q22, as well as CAS and MYBL2 at 20q13) were involved in these recurrent DNA amplifications. In conclusion, DNA copy number profiles were generated by CGH for most of the publicly available breast cancer cell lines and were made available on a web site (http://www.nhgri.nih.gov/DIR/CGB/CR2000). This should facilitate the correlative analysis of gene expression and copy number as illustrated here by the finding by cDNA microarrays of several overexpressed genes that were amplified.

Original languageEnglish (US)
Pages (from-to)4519-4525
Number of pages7
JournalCancer Research
Volume60
Issue number16
StatePublished - Aug 15 2000
Externally publishedYes

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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    Forozan, F., Mahlamäki, E. H., Monni, O., Chen, Y., Veldman, R., Jiang, Y., Gooden, G. C., Ethier, S. P., Kallioniemi, A., & Kallioniemi, O. P. (2000). Comparative genomic hybridization analysis of 38 breast cancer cell lines: A basis for interpreting complementary DNA microarray data. Cancer Research, 60(16), 4519-4525.