Diagnostic values of GHSR DNA methylation pattern in breast cancer
(2012) In Breast Cancer Research and Treatment 135. p.705-713- Abstract
DNA methylation patterns have been recognised as cancer-specific markers with high potential for clinical applications. We aimed at identifying methylation variations that differentiate between breast cancers and other breast tissue entities to establish a signature for diagnosis. Candidate genomic loci were analysed in 117 fresh-frozen breast specimens, which included cancer, benign and normal breast tissues from patients as well as material from healthy individuals. A cancer-specific DNA methylation signature was identified by microarray analysis in a test set of samples (n = 52, p<2.1 × 10 -4) and its performance was assessed through bisulphite pyrosequencing in an independent validation set (n = 65, p<1.9 ×... (More)
DNA methylation patterns have been recognised as cancer-specific markers with high potential for clinical applications. We aimed at identifying methylation variations that differentiate between breast cancers and other breast tissue entities to establish a signature for diagnosis. Candidate genomic loci were analysed in 117 fresh-frozen breast specimens, which included cancer, benign and normal breast tissues from patients as well as material from healthy individuals. A cancer-specific DNA methylation signature was identified by microarray analysis in a test set of samples (n = 52, p<2.1 × 10 -4) and its performance was assessed through bisulphite pyrosequencing in an independent validation set (n = 65, p<1.9 × 10-7). The signature is associated with SFRP2 and GHSR genes, and exhibited significant hypermethylation in cancers. Normal-appearing breast tissues from cancer patients were also methylated at these loci but to a markedly lower extent. This occurrence of methylated DNA in normal breast tissue of cancer patients is indicative of an epigenetic field defect. Concerning diagnosis, receiver operating characteristic curves and the corresponding area under the curve (AUC) analysis demonstrated a very high sensitivity and specificity of 89.3 and 100 %, respectively, for the GHSR methylation pattern (AUC >0.99). To date, this represents the DNA methylation marker of the highest sensitivity and specificity for breast cancer diagnosis. Functionally, ectopic expression of GHSR in a cell line model reduced breast cancer cell invasion without affecting cell viability upon stimulation of cells with ghrelin. Our data suggest a link between epigenetic down-regulation of GHSR and breast cancer cell invasion.
(Less)
- author
- publishing date
- 2012
- type
- Contribution to journal
- publication status
- published
- keywords
- Breast cancer, Diagnosis, DNA methylation, Epigenetics, GHSR
- in
- Breast Cancer Research and Treatment
- volume
- 135
- pages
- 705 - 713
- publisher
- Springer
- external identifiers
-
- pmid:22899222
- scopus:84866532875
- ISSN
- 0167-6806
- DOI
- 10.1007/s10549-012-2197-z
- language
- English
- LU publication?
- no
- id
- 1ddb9126-bfb3-4aec-bf2f-88b35acd4395
- date added to LUP
- 2021-12-16 01:24:54
- date last changed
- 2024-02-20 19:37:56
@article{1ddb9126-bfb3-4aec-bf2f-88b35acd4395,
abstract = {{<p>DNA methylation patterns have been recognised as cancer-specific markers with high potential for clinical applications. We aimed at identifying methylation variations that differentiate between breast cancers and other breast tissue entities to establish a signature for diagnosis. Candidate genomic loci were analysed in 117 fresh-frozen breast specimens, which included cancer, benign and normal breast tissues from patients as well as material from healthy individuals. A cancer-specific DNA methylation signature was identified by microarray analysis in a test set of samples (n = 52, p<2.1 × 10 <sup>-4</sup>) and its performance was assessed through bisulphite pyrosequencing in an independent validation set (n = 65, p<1.9 × 10<sup>-7</sup>). The signature is associated with SFRP2 and GHSR genes, and exhibited significant hypermethylation in cancers. Normal-appearing breast tissues from cancer patients were also methylated at these loci but to a markedly lower extent. This occurrence of methylated DNA in normal breast tissue of cancer patients is indicative of an epigenetic field defect. Concerning diagnosis, receiver operating characteristic curves and the corresponding area under the curve (AUC) analysis demonstrated a very high sensitivity and specificity of 89.3 and 100 %, respectively, for the GHSR methylation pattern (AUC >0.99). To date, this represents the DNA methylation marker of the highest sensitivity and specificity for breast cancer diagnosis. Functionally, ectopic expression of GHSR in a cell line model reduced breast cancer cell invasion without affecting cell viability upon stimulation of cells with ghrelin. Our data suggest a link between epigenetic down-regulation of GHSR and breast cancer cell invasion.</p>}},
author = {{Botla, Sandeep Kumar and Gholami, Amin Moghaddas and Malekpour, Mahdi and Moskalev, Evgeny A. and Fallah, Mahdi and Jandaghi, Pouria and Aghajani, Ali and Bondar, Irina S. and Omranipour, Ramesh and Malekpour, Fatemeh and Mohajeri, Abbas and Babadi, Azin Jahangiri and Sahin, Özgür and Bubnov, Vladimir V. and Najmabadi, Hossein and Hoheisel, Jörg D. and Riazalhosseini, Yasser}},
issn = {{0167-6806}},
keywords = {{Breast cancer; Diagnosis; DNA methylation; Epigenetics; GHSR}},
language = {{eng}},
pages = {{705--713}},
publisher = {{Springer}},
series = {{Breast Cancer Research and Treatment}},
title = {{Diagnostic values of GHSR DNA methylation pattern in breast cancer}},
url = {{http://dx.doi.org/10.1007/s10549-012-2197-z}},
doi = {{10.1007/s10549-012-2197-z}},
volume = {{135}},
year = {{2012}},
}