Literature DB >> 14633683

DNA methylation in serum of breast cancer patients: an independent prognostic marker.

Hannes M Müller1, Andreas Widschwendter, Heidi Fiegl, Lennart Ivarsson, Georg Goebel, Elisabeth Perkmann, Christian Marth, Martin Widschwendter.   

Abstract

Changes in the status of DNA methylation are one of the most common molecular alterations in human neoplasia. Because it is possible to detect these epigenetic alterations in the bloodstream of patients, we investigated whether aberrant DNA methylation in patient pretherapeutic sera is of prognostic significance in breast cancer. Using MethyLight, a high-throughput DNA methylation assay, we analyzed 39 genes in a gene evaluation set, consisting of 10 sera from metastasized patients, 26 patients with primary breast cancer, and 10 control patients. To determine the prognostic value of genes identified within the gene evaluation set, we finally analyzed pretreatment sera of 24 patients having had no adjuvant treatment (training set) to determine their prognostic value. An independent test set consisting of 62 patients was then used to test the validity of genes and combinations of genes, which in the training set were found to be good prognostic markers. In the gene evaluation set we identified five genes (ESR1, APC, HSD17B4, HIC1, and RASSF1A). In the training set, patients with methylated serum DNA for RASSF1A and/or APC had the worst prognosis (P < 0.001). This finding was confirmed by analyzing serum samples from the independent test set (P = 0.007). When analyzing all 86 of the investigated patients, multivariate analysis showed methylated RASSF1A and/or APC serum DNA to be independently associated with poor outcome, with a relative risk for death of 5.7. DNA methylation of particular genes in pretherapeutic sera of breast cancer patients, especially of RASSF1A/APC, is more powerful than standard prognostic parameters.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 14633683

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  107 in total

1.  Detection of β cell death in diabetes using differentially methylated circulating DNA.

Authors:  Eitan M Akirav; Jasmin Lebastchi; Eva M Galvan; Octavian Henegariu; Michael Akirav; Vitaly Ablamunits; Paul M Lizardi; Kevan C Herold
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-09       Impact factor: 11.205

Review 2.  The epigenetics of breast cancer.

Authors:  Jovana Jovanovic; Jo Anders Rønneberg; Jörg Tost; Vessela Kristensen
Journal:  Mol Oncol       Date:  2010-04-29       Impact factor: 6.603

Review 3.  Epigenetic alterations in the breast: Implications for breast cancer detection, prognosis and treatment.

Authors:  Amy M Dworkin; Tim H-M Huang; Amanda Ewart Toland
Journal:  Semin Cancer Biol       Date:  2009-02-20       Impact factor: 15.707

4.  DNA methylation of circulating DNA: a marker for monitoring efficacy of neoadjuvant chemotherapy in breast cancer patients.

Authors:  Gayatri Sharma; Sameer Mirza; Rajinder Parshad; Siddartha Datta Gupta; Ranju Ralhan
Journal:  Tumour Biol       Date:  2012-06-29

5.  Acetylation targets HSD17B4 for degradation via the CMA pathway in response to estrone.

Authors:  Ye Zhang; Ying-Ying Xu; Chuan-Bo Yao; Jin-Tao Li; Xiang-Ning Zhao; Hong-Bin Yang; Min Zhang; Miao Yin; Jing Chen; Qun-Ying Lei
Journal:  Autophagy       Date:  2017-02-22       Impact factor: 16.016

Review 6.  Epigenomics and breast cancer.

Authors:  Pang-Kuo Lo; Saraswati Sukumar
Journal:  Pharmacogenomics       Date:  2008-12       Impact factor: 2.533

7.  Gene promoter hypermethylation in tumors and plasma of breast cancer patients.

Authors:  Young Kyung Bae; Young Ran Shim; Joon Hyuk Choi; Mi Jin Kim; Edward Gabrielson; Soo Jung Lee; Tae Yoon Hwang; Sei One Shin
Journal:  Cancer Res Treat       Date:  2005-08-31       Impact factor: 4.679

8.  DNA methylation in circulating tumour DNA as a biomarker for cancer.

Authors:  Ruth E Board; Lucy Knight; Alastair Greystoke; Fiona H Blackhall; Andrew Hughes; Caroline Dive; Malcolm Ranson
Journal:  Biomark Insights       Date:  2008-01-25

9.  High-definition DNA methylation profiles from breast and ovarian carcinoma cell lines with differing doxorubicin resistance.

Authors:  Michael Boettcher; Frank Kischkel; Jörg D Hoheisel
Journal:  PLoS One       Date:  2010-06-08       Impact factor: 3.240

10.  Hypermethylation of tumor suppressor genes involved in critical regulatory pathways for developing a blood-based test in breast cancer.

Authors:  Ramin Radpour; Zeinab Barekati; Corina Kohler; Qing Lv; Nicole Bürki; Claude Diesch; Johannes Bitzer; Hong Zheng; Seraina Schmid; Xiao Yan Zhong
Journal:  PLoS One       Date:  2011-01-24       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.