Title |
Chemotherapy Cytotoxicity of Human MCF-7 and MDA-MB 231 Breast Cancer Cells Is Altered by Osteoblast-Derived Growth Factors
|
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Published in |
Molecular Medicine, February 1999
|
DOI | 10.1007/bf03402143 |
Pubmed ID | |
Authors |
Michael Koutsilieris, Carlos Reyes-Moreno, Isabelle Choki, Antigone Sourla, Charles Doillon, Nicolas Pavlidis |
Abstract |
One-third of women with breast cancer will develop bone metastases and eventually die from disease progression at these sites. Therefore, we analyzed the ability of human MG-63 osteoblast-like cells (MG-63 cells), MG-63 conditioned media (MG-63 CM), insulin-like growth factor I (IGF-I), and transforming growth factor beta 1 (TGF-beta1) to alter the effects of adriamycin on cell cycle and apoptosis of estrogen receptor negative (ER-) MDA-MB-231 and positive (ER+) MCF-7 breast cancer cells, using cell count, trypan blue exclusion, flow cytometry, detection of DNA fragmentation by simple agarose gel, and the terminal deoxynucleotidyl transferase (TdT)-mediated nick end-labeling method for apoptosis (TUNEL assay). Adriamycin arrested MCF-7 and MDA-MB-231 cells at G2/M phase in the cell cycle and inhibited cell growth. In addition, adriamycin arrested the MCF-7 cells at G1/G0 phase and induced apoptosis of MDA-MB-231 cells. Exogenous IGF-I partially neutralized the adriamycin cytotoxicity/cytostasis of cancer cells. MG-63 CM and TGF-beta1 partially neutralized the adriamycin cytotoxicity of MDA-MB-231 cells but enhanced adriamycin blockade of MCF-7 cells at G1/G0 phase. MG-63 osteoblast-like cells inhibited growth of MCF-7 cells while promoting growth and rescued MDA-MB-231 cells from adriamycin apoptosis in a collagen co-culture system. These data suggest that osteoblast-derived growth factors can alter the chemotherapy response of breast cancer cells. Conceivably, host tissue (bone)-tumor cell interactions can modify the clinical response to chemotherapy in patients with advanced breast cancer. |
Mendeley readers
Geographical breakdown
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Australia | 1 | 4% |
Unknown | 27 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 4 | 14% |
Student > Bachelor | 3 | 11% |
Professor | 2 | 7% |
Student > Ph. D. Student | 2 | 7% |
Other | 4 | 14% |
Unknown | 6 | 21% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 2 | 7% |
Other | 2 | 7% |
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