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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Differential expression of CDC25 phosphatases splice variants in human breast cancer cells
Clinical Chemistry and Laboratory Medicine, Volume 49, No. 10, Year 2011
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Description
Background: CDC25 phosphatases control cell cycle progression by activating cyclin dependent kinases. The three CDC25 isoforms encoding genes are submitted to alternative splicing events which generate at least two variants for CDC25A and five for both CDC25B and CDC25C. An over-expression of CDC25 was reported in several types of cancer, including breast cancer, and is often associated with a poor prognosis. Nevertheless, most of the previous studies did not address the expression of CDC25 splice variants. Here, we evaluated CDC25 spliced transcripts expression in anti-cancerous drug-sensitive and resistant breast cancer cell lines in order to identify potential breast cancer biomarkers. Methods: CDC25 splice variants mRNA levels were evaluated by semi-quantitative RT-PCR and by an original real-time RT-PCR assay. Results: CDC25 spliced transcripts are differentially expres-sed in the breast cancer cell lines studied. An up-regulation of CDC25A2 variant and an increase of the CDC25C5/C1 ratio are associated to the multidrug-resistance in VCREMS and DOXOR breast cancer cells, compared to their sensitive counterpart cell line MCF-7. Additionally, CDC25B2 tran-script is exclusively over-expressed in VCREMS resistant cells and could therefore be involved in the development of certain type of drug resistance. Conclusions: CDC25 splice variants could represent interesting potential breast cancer prognostic biomarkers. © 2011 by Walter de Gruyter Berlin Boston.
Authors & Co-Authors
Battaglia, Eric
France, Nancy
Université de Lorraine
Brito, Rui Miguel
Portugal, Lisbon
Escola Superior de Tecnologia da Saúde de Lisboa
Bagrel, Denyse
France, Nancy
Université de Lorraine
Statistics
Citations: 28
Authors: 3
Affiliations: 5
Identifiers
Doi:
10.1515/CCLM.2011.635
ISSN:
14374331
Research Areas
Cancer
Study Approach
Quantitative