Literature DB >> 23623832

A multiplex methylation-specific PCR assay for the detection of early-stage ovarian cancer using cell-free serum DNA.

Qing Zhang1, Guohong Hu, Qifeng Yang, Ruifen Dong, Xing Xie, Ding Ma, Keng Shen, Beihua Kong.   

Abstract

OBJECTIVE: Epithelial ovarian cancer (EOC) remains the most lethal disease among gynecological malignancies. Prompt diagnosis is challenging because of the non-specific symptoms exhibited during the early stage of the disease. As a result, there is an urgent need for improved detection methods. In this study, we established a multiplex methylation-specific PCR (MSP) assay to improve the early detection of ovarian cancer, via identification of the methylation status of cell-free serum DNA.
METHODS: After screening, we chose seven candidate genes (APC, RASSF1A, CDH1, RUNX3, TFPI2, SFRP5 and OPCML) with a high frequency of methylation to construct the multiplex-MSP assay. When methylation of at least one of the seven genes was observed, the multiplex-MSP assay was considered positive. We performed retrospective and screening studies to verify the specificity and sensitivity of the assay in the detection of EOC.
RESULTS: The methylation status of cell-free serum DNA was examined in the preoperative serum of 202 patients, including 87 EOC patients (stage I, n=41; stage II-IV, n=46), 53 patients with benign ovarian tumors and 62 healthy controls. As expected, the multiplex MSP assay achieved a sensitivity of 85.3% and a specificity of 90.5% in stageI EOC, strikingly higher rates compared with a single CA125, which produced a sensitivity of 56.1% at 64.15% specificity [P=0.0036].
CONCLUSION: A multiplex MSP assay that analyzes the methylation status of cell-free serum DNA is a suitable and reliable approach to improve the early detection of ovarian cancer, potentially benefiting a broad range of applications in clinical oncology.
Copyright © 2013. Published by Elsevier Inc.

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Year:  2013        PMID: 23623832     DOI: 10.1016/j.ygyno.2013.04.048

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  25 in total

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Journal:  Int J Clin Oncol       Date:  2015-01-11       Impact factor: 3.402

Review 2.  Methylation and ovarian cancer: Can DNA methylation be of diagnostic use?

Authors:  Julie L Hentze; Claus K Høgdall; Estrid V Høgdall
Journal:  Mol Clin Oncol       Date:  2019-01-11

Review 3.  Epigenetics in ovarian cancer.

Authors:  Yanina Natanzon; Ellen L Goode; Julie M Cunningham
Journal:  Semin Cancer Biol       Date:  2017-08-03       Impact factor: 15.707

Review 4.  Novel Approaches to Ovarian Cancer Screening.

Authors:  Denise R Nebgen; Karen H Lu; Robert C Bast
Journal:  Curr Oncol Rep       Date:  2019-07-26       Impact factor: 5.075

5.  Loss of opioid binding protein/cell adhesion molecule-like gene expression in gastric cancer.

Authors:  Ning Zhang; Jide Xu; Yuhong Wang; Xuhua Heng; Liteng Yang; Xiangbin Xing
Journal:  Oncol Lett       Date:  2018-04-24       Impact factor: 2.967

Review 6.  DNA methylation changes in epithelial ovarian cancer histotypes.

Authors:  Madalene A Earp; Julie M Cunningham
Journal:  Genomics       Date:  2015-09-10       Impact factor: 5.736

Review 7.  Biological markers of prognosis, response to therapy and outcome in ovarian carcinoma.

Authors:  Marta Szajnik; Małgorzata Czystowska-Kuźmicz; Esther Elishaev; Theresa L Whiteside
Journal:  Expert Rev Mol Diagn       Date:  2016-06-23       Impact factor: 5.225

8.  CancerDetector: ultrasensitive and non-invasive cancer detection at the resolution of individual reads using cell-free DNA methylation sequencing data.

Authors:  Wenyuan Li; Qingjiao Li; Shuli Kang; Mary Same; Yonggang Zhou; Carol Sun; Chun-Chi Liu; Lea Matsuoka; Linda Sher; Wing Hung Wong; Frank Alber; Xianghong Jasmine Zhou
Journal:  Nucleic Acids Res       Date:  2018-09-06       Impact factor: 16.971

Review 9.  Methylation of cell-free circulating DNA in the diagnosis of cancer.

Authors:  Kristina Warton; Goli Samimi
Journal:  Front Mol Biosci       Date:  2015-04-22

10.  Biomarkers and Strategies for Early Detection of Ovarian Cancer.

Authors:  Robert C Bast; Zhen Lu; Chae Young Han; Karen H Lu; Karen S Anderson; Charles W Drescher; Steven J Skates
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-10-13       Impact factor: 4.254

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