edoc

Methylation profiles of 22 candidate genes in breast cancer using high-throughput MALDI-TOF mass array

Radpour, R. and Kohler, C. and Haghighi, M. M. and Fan, A. X. C. and Holzgreve, W. and Zhong, X. Y.. (2009) Methylation profiles of 22 candidate genes in breast cancer using high-throughput MALDI-TOF mass array. Oncogene, Vol. 28. pp. 2969-2978.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/dok/A6004191

Downloads: Statistics Overview

Abstract

Alterations of DNA methylation patterns have been suggested as biomarkers for diagnostics and therapy of cancers. Every novel discovery in the epigenetic landscape and every development of an improved approach for accurate analysis of the events may offer new opportunity for the management of patients. Using a novel high-throughput mass spectrometry on matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) silico-chips, we determined semiquantitative methylation changes of 22 candidate genes in breast cancer tissues. For the first time we analysed the methylation status of a total of 42 528 CpG dinucleotides on 22 genes in 96 different paraffin-embedded tissues (48 breast cancerous tissues and 48 paired normal tissues). A two-way hierarchical cluster analysis was used to classify methylation profiles. In this study, 10 hypermethylated genes (APC, BIN1, BMP6, BRCA1, CST6, ESRb, GSTP1, P16, P21 and TIMP3) were identified to distinguish between cancerous and normal tissues according to the extent of methylation. Individual assessment of the methylation status for each CpG dinucleotide indicated that cytosine hypermethylation in the cancerous tissue samples was mostly located near the consensus sequences of the transcription factor binding sites. These hypermethylated genes may serve as biomarkers for clinical molecular diagnosis and targeted treatments of patients with breast cancer.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedizin > Former Units at DBM > Gynecological Oncology (Zhong)
UniBasel Contributors:Zhong, Xiao Yan
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:Nature Publishing Group
ISSN:0950-9232
Note:Publication type according to Uni Basel Research Database: Journal article
Related URLs:
Identification Number:
Last Modified:26 Apr 2013 06:59
Deposited On:01 Mar 2013 11:11

Repository Staff Only: item control page