Literature DB >> 26522113

Quantitative DNA methylation analysis of selected genes in endometrial carcinogenesis.

Ying-Chieh Chen1, Chun-Ming Tsao2, Chih-Chi Kuo3, Mu-Hsien Yu4, Ya-Wen Lin5, Chu-Ying Yang4, Hsin-Jung Li3, Ming-De Yan6, Tun-Jun Wang4, Yu-Ching Chou7, Her-Young Su8.   

Abstract

OBJECTIVE: Most endometrial carcinomas appear to develop from precursors (e.g., endometrial hyperplasia) that progress for several years. Patients who are ultimately diagnosed with carcinoma often present clinically with complaints of abnormal vaginal bleeding years before diagnosis, which offers an opportunity for early diagnosis and curative treatment. The analysis of DNA methylation may be used as a method for detecting endometrial cancer (EC). To test the potential clinical application of this method, we used quantitative methylation analysis of five genes in a full spectrum of endometrial lesions.
MATERIALS AND METHODS: This hospital-based, prospective, case-controlled study was conducted on 68 patients, which included patients who had a normal endometrium (n = 18), hyperplasia of the endometrium (n = 24), and EC (n = 26). Methylation levels of the following genes were determined by using real-time methylation-specific polymerase chain reaction (PCR) amplification: zinc finger protein 177 (ZNF177), collagen type XIV α1 (COL14A1), dihydropyrimidinase-like 4 (DPYSL4), homeobox A9 (HOXA9), transmembrane protein with epidermal growth factor-like and two follistatin-like domains 2 (TMEFF2). The methylation index (MI) cutoff values for the different diagnoses were determined to test the sensitivity and specificity of the method and to generate the receiver operating characteristic (ROC) curves. The Mann-Whitney U test was used to test between-group differences in the MI.
RESULTS: The MI of the five genes was significantly higher in EC than the MIs in specimens of hyperplasia of endometrium and normal appearance (p < 0.001). The ROC analysis demonstrated that the sensitivity, specificity, and accuracy for detecting EC were 92.3%, 94.4%, and 95.1%, respectively, for ZNF177; 92.3%, 94.4%, and 95.7%, respectively, for COL14A1; 80.8%, 94.4%, and 81.4%, respectively, for HOXA9; 65.4%, 94.4%, and 89.5%, respectively, for TMEFF2; and 61.5%, 94.4%, and 63.3%, respectively, for DPYSL4. The combined testing of ZNF177 and COL14A1 had the best specificity (100%), but compromised sensitivity (88.5%).
CONCLUSION: Promoter methylation of ZNF177, COL14A1, HOXA9, DPYSL4, and TMEFF2 genes is a frequent epigenetic event in EC. Furthermore, the epigenetic hypermethylation of TMEFF2 may be a valuable marker for identifying undetected EC within endometrial hyperplasia.
Copyright © 2015. Published by Elsevier B.V.

Entities:  

Keywords:  COL14A1; DNA methylation; TMEFF2; endometrial cancer; hyperplasia of the endometrium

Mesh:

Substances:

Year:  2015        PMID: 26522113     DOI: 10.1016/j.tjog.2015.08.010

Source DB:  PubMed          Journal:  Taiwan J Obstet Gynecol        ISSN: 1028-4559            Impact factor:   1.705


  9 in total

1.  Frequent promoter methylation of HOXD10 in endometrial carcinoma and its pathological significance.

Authors:  Fan Yang; Dongchen Liu; Yupeng Deng; Jun Wang; Shuyu Mei; Shuang Ge; Hailing Li; Cuijuan Zhang; Tingguo Zhang
Journal:  Oncol Lett       Date:  2020-03-19       Impact factor: 2.967

2.  P53 and Murine Double Mimute 2 (MDM2) Expression Changes and Significance in Different Types of Endometrial Lesions.

Authors:  Zhongyong Jiang; Wanqing Xu; Gang Dan; Yuan Liu; Jie Xiong
Journal:  Med Sci Monit       Date:  2016-12-07

3.  The diagnostic role of DNA methylation in sporadic endometrial cancer: a systematic review and meta-analysis.

Authors:  Yu Fan; Yu Wang; Shaozhi Fu; Linglin Yang; Sheng Lin; Qingze Fan; Qinglian Wen
Journal:  Oncotarget       Date:  2017-12-20

4.  Oncogenic and tumor suppressor function of MEIS and associated factors.

Authors:  Birkan Gİrgİn; Medine KaradaĞ-Alpaslan; Fatih KocabaŞ
Journal:  Turk J Biol       Date:  2020-12-14

5.  Identification of differentially methylated genes as diagnostic and prognostic biomarkers of breast cancer.

Authors:  Xiao-Hong Mao; Qiang Ye; Guo-Bing Zhang; Jin-Ying Jiang; Hong-Ying Zhao; Yan-Fei Shao; Zi-Qi Ye; Zi-Xue Xuan; Ping Huang
Journal:  World J Surg Oncol       Date:  2021-01-26       Impact factor: 2.754

6.  Comprehensive Analysis of GDF10 Methylation Site-Associated Genes as Prognostic Markers for Endometrial Cancer.

Authors:  Jingyi Fan; Huaijun Zhou
Journal:  J Oncol       Date:  2022-10-10       Impact factor: 4.501

7.  Identification of DNA methylation associated gene signatures in endometrial cancer via integrated analysis of DNA methylation and gene expression systematically.

Authors:  Chuandi Men; Hongjuan Chai; Xumin Song; Yue Li; Huawen Du; Qing Ren
Journal:  J Gynecol Oncol       Date:  2017-11       Impact factor: 4.401

8.  Methylation status of KLF4 and HS3ST2 genes as predictors of endometrial cancer and hyperplastic endometrial lesions.

Authors:  Zuzana Danková; Dušan Braný; Dana Dvorská; Marcela Ňachajová; Roman Fiolka; Marián Grendár; Jozef Hatok; Peter Kubatka; Veronika Holubeková; Erika Halašová; Tibor Bielik; Pavol Žúbor
Journal:  Int J Mol Med       Date:  2018-09-12       Impact factor: 4.101

9.  A Novel Prognostic DNA Methylation Panel for Colorectal Cancer.

Authors:  Hsin-Hua Chung; Chih-Chi Kuo; Cheng-Wen Hsiao; Chao-Yang Chen; Je-Ming Hu; Chih-Hsiung Hsu; Yu-Ching Chou; Ya-Wen Lin; Yu-Lueng Shih
Journal:  Int J Mol Sci       Date:  2019-09-20       Impact factor: 5.923

  9 in total

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