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| Molecular characterization of breast cancer cell lines by a low density microarray. by Françoise de Longueville (*), Marc Lacroix (*), Anna-Maria Barbuto, Vincent Bertholet, Dominique Gallo, Denis Larsimont, Laurence Marcq, Nathalie Zammatteo, Sophie Boffe, Guy Leclercq and Jose Remacle (*): equal contributions Institut Jules Bordet Institute, Bruxelles (Brussels) and Eppendorf Array Technologies (EAT), Namur, Belgique (Belgium) in International Journal of Oncology (2005) 27, 881-892 [Only registered users see links. ] We designed a low density microarray carrying 132 DNA capture sequences highly specific for genes known to be differentially expressed among breast tumors and breast cancer cell (BCC) lines or associated with specific tumor properties (hormone sensitivity, cell cycle alteration, proteolysis, adhesion, etc). We analyzed gene expression in 11 BCC lines among which 6 had already been extensively studied (BT-474, Hs578T, MCF-7, MDA-MB-231, MDA-MB-453, T-47D) and 5 were still poorly characterized (Evsa-T, IBEP-1, IBEP-2, IBEP-3, KPL-1). Some data obtained were verified or extended by real-time polymerase chain reaction, Northern-blotting, Western blotting, immunohistochemistry and cell growth studies. Clustering analysis of the low-density microarray data allowed the sorting of BCC lines into two classes and supported a major discriminatory role for ER-alpha, confirming data from previous studies. A few genes that are highly and specifically expressed in one cell line were identified such as MGB1 / SCGB2A2 (mammaglobin 1 / secretoglobin family 2A, member 2) in Evsa-T cells, and PIP / GCDFP15 (prolactin-inducible protein / gross cystic disease fluid protein-15 ) in MDA-MB-453 BCC, suggesting an apocrine origin for these latter cells. Two BCC lines (IBEP-1 and IBEP-3) that had been previously characterized as ER-alpha-negative, were classified by the low density microarray among ER-alpha-positive lines (MCF-7, T-47D, IBEP-2, BT-474, KPL-1) and were indeed confirmed as receptor-positive (at both mRNA and protein levels) and hormone-responsive cells. In conclusion, our results support the use of a low density microarray approach in cases where the cost and exhaustiveness of high density microarrays may constitute a drawback; for instance, in obtaining a rapid phenotype evaluation in cell populations freshly isolated from breast tumors. |
| Tags |
| apocrine , breast , cancer , cell , characterization , identification , line , lines , rapid |
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