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A high-resolution integrated analysis of genetic and expression profiles of breast cancer cell lines
- Source :
- Breast cancer research and treatment. 118(3)
- Publication Year :
- 2008
-
Abstract
- Tumour cell lines derived from breast cancer patients constitute one of the cornerstones of breast cancer research. To characterise breast cancer cell lines at the genetic level, we have developed a full tiling path bacterial artificial chromosome (BAC) array collection for comparative genomic hybridisation (aCGH). This aCGH BAC collection covers 98% of the entire human genome at a resolution of 40-60 kbp. We have used this platform alongside an in-house produced 17 K cDNA microarray set to characterise the genetic and transcriptomic profiles of 24 breast cancer cell lines, as well as cell types derived from non-diseased breast. We demonstrate that breast cancer cell lines have genomic and transcriptomic features that recapitulate those of primary breast cancers and can be reliably subclassified into basal-like and luminal subgroups. By overlaying aCGH and transcriptomic data, we have identified 753 genes whose expression correlate with copy number; this list comprised numerous oncogenes recurrently amplified and overexpressed in breast cancer (e.g., HER2, MYC, CCND1 and AURKA). Finally, we demonstrate that although breast cancer cell lines have genomic features usually found in grade III breast cancers (i.e., gains of 1q, 8q and 20q), basal-like and luminal cell lines are characterised by distinct genomic aberrations.
- Subjects :
- Cancer Research
Chromosomes, Artificial, Bacterial
Gene Expression
Breast Neoplasms
Biology
Transcriptome
Breast cancer
Cyclin D1
Cell Line, Tumor
medicine
Cluster Analysis
Humans
skin and connective tissue diseases
Oligonucleotide Array Sequence Analysis
Genetics
Bacterial artificial chromosome
Comparative Genomic Hybridization
Molecular pathology
Gene Expression Profiling
Cancer
medicine.disease
Oncology
Cancer research
Human genome
Female
Breast disease
Subjects
Details
- ISSN :
- 15737217
- Volume :
- 118
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Breast cancer research and treatment
- Accession number :
- edsair.doi.dedup.....85f62764f89fe59fe91bb07f57453be7