Proteomic profiling of MCF-7 breast cancer cells with chemoresistance to different types of anti-cancer drugs

被引:20
作者
Chuthapisith, Suebwong
Layfield, Robert
Kerr, Ian D.
Hughes, Catherine
Eremin, Oleg
机构
[1] Univ Nottingham, Queens Med Ctr, Dept Surg, Nottingham NG7 2UH, England
[2] Univ Nottingham, Queens Med Ctr, Sch Biomed Sci, Nottingham NG7 2UH, England
[3] Lincoln Cty Hosp, United Lincolnshire Hosp NHS Trust, Dept Res & Dev, Lincoln LN2 5QY, England
关键词
breast cancer; proteomics; adriamycin-resistant MCF-7 breast cancer cells; paclitaxel-resistant MCF-7 breast cancer cells; P-glycoprotein;
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 [肿瘤学];
摘要
Chemoresistance is a poor prognostic factor in breast cancer and, thus, presents a significant clinical challenge. The mechanisms of chemoresistance involve multiple complex biological processes. This study aims to identify common contributory factors to chemoresistance in breast cancer by comparing protein expression profiles of chemosensitive. MCF-7 breast cancer cells and cells resistant to two different commonly used anti-cancer drugs (adriamycin and paclitaxel). Expression of the ATP binding cassette transporter, P-glycoprotein (P-gp), in breast tumours has previously been found to correlate with poor prognosis in vivo and, accordingly, we confirmed overexpression of P-gp in both adriamycin- and paclitaxel-resistant MCF-7 cells. Using two-dimensional gel electrophoresis and MALDI-TOF peptide mass fingerprinting, we identified 20 proteins differentially expressed between chemosensitive, adriamycin-resistant and paclitaxel-resistant MCF-7 cells. Cytokeratin-8, keratin-19, Hsp-27, 14-3-3 epsilon, annexin-A2 and phosphoglycerate kinase-1 showed altered expression in both adriamycin- and paclitaxel-resistant cells. Validation of a number of these changes was confirmed by Western blotting. Our findings provide further insights into the complex mechanisms of chemoresistance, as well as representing an attractive starting point for the identification of potential protein biomarkers to predict response to chemotherapy in breast cancer in vivo.
引用
收藏
页码:1545 / 1551
页数:7
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