Literature DB >> 23329649

Epigenetic silencing of BLU through interfering apoptosis results in chemoresistance and poor prognosis of ovarian serous carcinoma patients.

Ying-Cheng Chiang1, Ming-Cheng Chang, Pao-Jen Chen, Meei-Maan Wu, Chang-Yao Hsieh, Wen-Fang Cheng, Chi-An Chen.   

Abstract

Epithelial ovarian carcinoma is usually present at the advanced stage, during which the patients generally have poor prognosis. Our study aimed to evaluate the correlation of gene methylation and the clinical outcome of patients with advanced-stage, high-grade ovarian serous carcinoma. The methylation status of eight candidate genes was first evaluated by methylation-specific PCR and capillary electrophoresis to select three potential genes including DAPK, CDH1, and BLU (ZMYND10) from the exercise group of 40 patients. The methylation status of these three genes was further investigated in the validation group consisting of 136 patients. Patients with methylated BLU had significantly shorter progression-free survival (PFS; hazard ratio (HR) 1.48, 95% CI 1.01-2.56, P=0.013) and overall survival (OS; HR 1.83, 95% CI 1.07-3.11, P=0.027) in the multivariate analysis. Methylation of BLU was also an independent risk factor for 58 patients undergoing optimal debulking surgery for PFS (HR 2.37, 95% CI 1.03-5.42, P=0.043) and OS (HR 3.96, 95% CI 1.45-10.81, P=0.007) in the multivariate analysis. A possible mechanism of BLU in chemoresistance was investigated in ovarian cancer cell lines by in vitro apoptotic assays. In vitro studies have shown that BLU could upregulate the expression of BAX and enhance the effect of paclitaxel-induced apoptosis in ovarian cancer cells. Our study suggested that methylation of BLU could be a potential prognostic biomarker for advanced ovarian serous carcinoma.

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Year:  2013        PMID: 23329649     DOI: 10.1530/ERC-12-0117

Source DB:  PubMed          Journal:  Endocr Relat Cancer        ISSN: 1351-0088            Impact factor:   5.678


  8 in total

1.  Integration and bioinformatics analysis of DNA-methylated genes associated with drug resistance in ovarian cancer.

Authors:  Bingbing Yan; Fuqiang Yin; Q I Wang; Wei Zhang; L I Li
Journal:  Oncol Lett       Date:  2016-05-18       Impact factor: 2.967

2.  Multidrug resistance affects the prognosis of primary epithelial ovarian cancer.

Authors:  Bo Gao; Fengmei Yang; Wei Chen; Rui Li; Xiuxue Hu; Yong Liang; Dongmin Li
Journal:  Oncol Lett       Date:  2019-08-14       Impact factor: 2.967

3.  Scalable network estimation with L 0 penalty.

Authors:  Junghi Kim; Hongtu Zhu; Xiao Wang; Kim-Anh Do
Journal:  Stat Anal Data Min       Date:  2020-10-21       Impact factor: 1.051

Review 4.  Tumor suppressor genes and their underlying interactions in paclitaxel resistance in cancer therapy.

Authors:  Jia-Hui Xu; Shi-Lian Hu; Guo-Dong Shen; Gan Shen
Journal:  Cancer Cell Int       Date:  2016-02-20       Impact factor: 5.722

5.  ZMYND10, an epigenetically regulated tumor suppressor, exerts tumor-suppressive functions via miR145-5p/NEDD9 axis in breast cancer.

Authors:  Yan Wang; Liangying Dan; Qianqian Li; Lili Li; Lan Zhong; Bianfei Shao; Fang Yu; Sanxiu He; Shaorong Tian; Jin He; Qian Xiao; Thomas C Putti; Xiaoqian He; Yixiao Feng; Yong Lin; Tingxiu Xiang
Journal:  Clin Epigenetics       Date:  2019-12-04       Impact factor: 6.551

Review 6.  Epigenetic Mechanisms and Therapeutic Targets in Chemoresistant High-Grade Serous Ovarian Cancer.

Authors:  Bayley G Matthews; Nikola A Bowden; Michelle W Wong-Brown
Journal:  Cancers (Basel)       Date:  2021-11-29       Impact factor: 6.639

7.  Abnormal methylation characteristics predict chemoresistance and poor prognosis in advanced high-grade serous ovarian cancer.

Authors:  Li-Yuan Feng; Bing-Bing Yan; Yong-Zhi Huang; Li Li
Journal:  Clin Epigenetics       Date:  2021-07-21       Impact factor: 6.551

8.  Transcriptional and epigenetic regulation of KIF14 overexpression in ovarian cancer.

Authors:  Brigitte L Thériault; Halesha D Basavarajappa; Harvey Lim; Sanja Pajovic; Brenda L Gallie; Timothy W Corson
Journal:  PLoS One       Date:  2014-03-13       Impact factor: 3.240

  8 in total

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