1. Molecular characterization of breast cancer cell lines by a low-density microarray.
- Author
-
de Longueville F, Lacroix M, Barbuto AM, Bertholet V, Gallo D, Larsimont D, Marcq L, Zammatteo N, Boffe S, Leclercq G, and Remacle J
- Subjects
- Biotinylation, Blotting, Northern, Blotting, Western, Breast Neoplasms pathology, Cell Adhesion, Cell Line, Tumor, Cell Proliferation, Cluster Analysis, DNA, Complementary metabolism, Estrogen Receptor alpha metabolism, Humans, Image Processing, Computer-Assisted, Immunohistochemistry, Mammaglobin A, Neoplasm Proteins metabolism, Nucleic Acid Hybridization, Phenotype, Polymerase Chain Reaction, RNA metabolism, RNA, Messenger metabolism, Reverse Transcriptase Polymerase Chain Reaction, Time Factors, Uteroglobin metabolism, Breast Neoplasms genetics, Breast Neoplasms metabolism, Gene Expression Regulation, Neoplastic, Oligonucleotide Array Sequence Analysis
- Abstract
We designed a low-density microarray carrying 132 DNA capture sequences highly specific for genes known to be differentially expressed among breast tumors and BCC lines or associated with specific tumor properties (cell-cycle alteration, proteolysis, adhesion, hormone sensitivity, 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 (real-time PCR), 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 (mammaglobin 1) in Evsa-T cells, and PIP (prolactin-inducible protein) 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 utility 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.
- Published
- 2005