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Identifying DNA Methylation Biomarkers of Cancer Drug Response

 

作者: Sabine Maier,   Christina Dahlstroem,   Carolina Haefliger,   Achim Plum,   Christian Piepenbrock,  

 

期刊: American Journal of PharmacoGenomics  (ADIS Available online 2005)
卷期: Volume 5, issue 4  

页码: 223-232

 

ISSN:1175-2203

 

年代: 2005

 

出版商: ADIS

 

关键词: Antiestrogens, general;Antimetabolites, general;Antineoplastics, general;Cancer, general;DNA methylation inhibitors, general;Pharmacogenomics;Taxanes, general

 

数据来源: ADIS

 

摘要:

In the last few years, DNA methylation has become one of the most studied gene regulation mechanisms in carcinogenesis as a result of the cumulative evidence produced by the scientific community. Moreover, advances in the technologies that allow detection of DNA methylation in a variety of analytes have opened the possibility of developing methylation-based tests. A number of studies have provided evidence that specific methylation changes can alter the response to different therapeutic agents in cancer and, therefore, be useful biomarkers. For example, the association of the methylation status of DNA repair genes such asMGMTandMLH1illustrate the two main mechanisms of response to DNA damaging agents. Loss of methylation ofMGMT, and the subsequent increase in gene expression, leads to a reduction in response to alkylating agents as a result of enhanced repair of drug-induced DNA damage. Conversely, the increase in methylation ofMLH1and its resulting loss of expression has been consistently observed in drug-resistant tumor cells.MLH1encodes a mismatch repair enzyme activated in response to DNA damage; activation ofMLH1also induces apoptosis of tumor cells, and thus loss of its expression leads to resistance to DNA-damaging agents. Other methylation-regulated genes that could serve as biomarkers in cancer therapy include drug transporters, genes involved in microtubule formation and stability, and genes related to hormonal therapy response. These methylation markers have potential applications for disease prognosis, treatment response prediction, and the development of novel treatment strategies.

 

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