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Dive into the research topics where Christian Piepenbrock is active.

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Featured researches published by Christian Piepenbrock.


American Journal of Pharmacogenomics | 2005

Identifying DNA Methylation Biomarkers of Cancer Drug Response

Sabine Maier; Christina Dahlstroem; Carolina Haefliger; Achim Plum; Christian Piepenbrock

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 as MGMT and MLH1 illustrate the two main mechanisms of response to DNA damaging agents. Loss of methylation of MGMT, 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 of MLH1 and its resulting loss of expression has been consistently observed in drug-resistant tumor cells. MLH1 encodes a mismatch repair enzyme activated in response to DNA damage; activation of MLH1 also 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.


Bioinformatics | 2004

Quantitative DNA methylation analysis based on four-dye trace data from direct sequencing of PCR amplificates

Jörn Lewin; Armin O. Schmitt; Peter Adorjan; Thomas Hildmann; Christian Piepenbrock


intelligent systems in molecular biology | 2001

Feature selection for DNA methylation based cancer classification.

Fabian Model; Peter Adorjan; Alexander Olek; Christian Piepenbrock


Archive | 2004

Systems, methods and computer program products for guiding selection of a therapeutic treatment regimen based on the methylation status of the DNA

Kurt Berlin; Alexander Olek; Christian Piepenbrock


intelligent systems in molecular biology | 2002

Statistical process control for large scale microarray experiments

Fabian Model; Thomas König; Christian Piepenbrock; Peter Adorjan


Archive | 2002

Distributed system for epigenetic based prediction of complex phenotypes

Peter Adorjan; Alexander Olek; Christian Piepenbrock


Archive | 2001

Detection of variations in the dna methylation profile

Kurt Berlin; Christian Piepenbrock; Alexander Olek


Archive | 2001

DIAGNOSIS OF DISEASES ASSOCIATED WITH DEVELOPMENT GENES

Kurt Berlin; Alexander Olek; Christian Piepenbrock


Archive | 2001

Diagnosis of diseases associated with dna transcription

Alexander Olek; Christian Piepenbrock; Kurt Berlin


Archive | 2001

Method and nucleic acids for the analysis of astrocytomas

Alexander Olek; Christian Piepenbrock; Kurt Berlin

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