A high-resolution integrated analysis of genetic and expression profiles of breast cancer cell lines Export

@article{citeulike:3958992, abstract = {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.}, author = {Mackay, Alan and Tamber, Narinder and Fenwick, Kerry and Iravani, Marjan and Grigoriadis, Anita and Dexter, Tim and Lord, Christopher and Reis-Filho, Jorge and Ashworth, Alan}, citeulike-article-id = {3958992}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/s10549-008-0296-7}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19169812}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19169812}, citeulike-linkout-3 = {http://www.springerlink.com/content/p3773545402g0301}, doi = {10.1007/s10549-008-0296-7}, journal = {Breast Cancer Research and Treatment}, keywords = {breast\_cancer, cell\_line, copy-number, gene\_expression, integration}, posted-at = {2009-04-14 11:22:52}, priority = {2}, title = {A high-resolution integrated analysis of genetic and expression profiles of breast cancer cell lines}, url = {http://dx.doi.org/10.1007/s10549-008-0296-7} }

TY - JOUR ID - citeulike:3958992 L3 - citeulike-article-id:3958992 N2 - 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. JF - Breast Cancer Research and Treatment TI - A high-resolution integrated analysis of genetic and expression profiles of breast cancer cell lines KW - breast_cancer KW - cell_line KW - copy-number KW - gene_expression KW - integration AU - Mackay, Alan AU - Tamber, Narinder AU - Fenwick, Kerry AU - Iravani, Marjan AU - Grigoriadis, Anita AU - Dexter, Tim AU - Lord, Christopher AU - Reis-Filho, Jorge AU - Ashworth, Alan UR - http://dx.doi.org/10.1007/s10549-008-0296-7 ER -