Literature DB >> 27634218

DNA methylation profiling of esophageal adenocarcinoma using Methylation Ligation-dependent Macroarray (MLM).

Isabelle Guilleret1, Lorena Losi2, Sonia T Chelbi1, Sergio Fonda3, Stéphanie Bougel4, Sara Saponaro3, Gaia Gozzi3, Loredana Alberti1, Richard Braunschweig1, Jean Benhattar5.   

Abstract

Most types of cancer cells are characterized by aberrant methylation of promoter genes. In this study, we described a rapid, reproducible, and relatively inexpensive approach allowing the detection of multiple human methylated promoter genes from many tissue samples, without the need of bisulfite conversion. The Methylation Ligation-dependent Macroarray (MLM), an array-based analysis, was designed in order to measure methylation levels of 58 genes previously described as putative biomarkers of cancer. The performance of the design was proven by screening the methylation profile of DNA from esophageal cell lines, as well as microdissected formalin-fixed and paraffin-embedded (FFPE) tissues from esophageal adenocarcinoma (EAC). Using the MLM approach, we identified 32 (55%) hypermethylated promoters in EAC, and not or rarely methylated in normal tissues. Among them, 21promoters were found aberrantly methylated in more than half of tumors. Moreover, seven of them (ADAMTS18, APC, DKK2, FOXL2, GPX3, TIMP3 and WIF1) were found aberrantly methylated in all or almost all the tumor samples, suggesting an important role for these genes in EAC. In addition, dysregulation of the Wnt pathway with hypermethylation of several Wnt antagonist genes was frequently observed. MLM revealed a homogeneous pattern of methylation for a majority of tumors which were associated with an advanced stage at presentation and a poor prognosis. Interestingly, the few tumors presenting less methylation changes had a lower pathological stage. In conclusion, this study demonstrated the feasibility and accuracy of MLM for DNA methylation profiling of FFPE tissue samples.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  DNA methylation; Esophageal adenocarcinoma; FFPE; Profiling

Mesh:

Substances:

Year:  2016        PMID: 27634218     DOI: 10.1016/j.bbrc.2016.09.049

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  8 in total

1.  Role of MLH1 methylation in esophageal cancer carcinogenesis and its clinical significance.

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2.  Diagnostic Value of the Methylation of Multiple Gene Promoters in Serum in Hepatitis B Virus-Related Hepatocellular Carcinoma.

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Journal:  Dis Markers       Date:  2017-08-29       Impact factor: 3.434

3.  miR-29c plays a suppressive role in breast cancer by targeting the TIMP3/STAT1/FOXO1 pathway.

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Journal:  Clin Epigenetics       Date:  2018-05-16       Impact factor: 7.259

4.  Distinct DNA Methylation Profiles in Ovarian Tumors: Opportunities for Novel Biomarkers.

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Authors:  Heidi Schwarzenbach; Peter B Gahan
Journal:  Cancer Drug Resist       Date:  2019-06-19

6.  MicroRNA-613 Enhances Nasopharyngeal Carcinoma Cell Radiosensitivity via the DNA Methyltransferase 3B/Tissue Inhibitor of Matrix Metalloproteinase-3/Signal Transducer and Activator of Transcription-1/Forkhead Box O-1 Axis.

Authors:  Liqiang Deng; Qing Yin; Shuyun Liu; Debao Luo
Journal:  Dis Markers       Date:  2022-08-26       Impact factor: 3.464

7.  Early diagnostic potential of APC hypermethylation in esophageal cancer.

Authors:  Bujiang Wang; Haojun Song; Haizhong Jiang; Yangbo Fu; Xiaoyun Ding; Chongchang Zhou
Journal:  Cancer Manag Res       Date:  2018-02-01       Impact factor: 3.989

8.  FOXL2 expression might be a novel prognostic biomarker in patients with laryngeal squamous cell carcinoma.

Authors:  Jun Ge; Li Jiang; Yuke Tian; Min Zheng; Meiling Huang; Juan Li
Journal:  J Int Med Res       Date:  2020-04       Impact factor: 1.671

  8 in total

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