Literature DB >> 32145055

Identification of a four-gene methylation biomarker panel in high-grade serous ovarian carcinoma.

Ivana Baranova1, Helena Kovarikova1, Jan Laco2, Iva Sedlakova3, Filip Vrbacky4, Dalibor Kovarik5, Petr Hejna5, Vladimir Palicka1, Marcela Chmelarova1.   

Abstract

Background The lack of effective biomarkers for the screening and early detection of ovarian cancer (OC) is one of the most pressing problems in oncogynecology. Because epigenetic alterations occur early in the cancer development, they provide great potential to serve as such biomarkers. In our study, we investigated a potential of a four-gene methylation panel (including CDH13, HNF1B, PCDH17 and GATA4 genes) for the early detection of high-grade serous ovarian carcinoma (HGSOC). Methods For methylation detection we used methylation sensitive high-resolution melting analysis and real-time methylation specific analysis. We also investigated the relation between gene hypermethylation and gene relative expression using the 2-ΔΔCt method. Results The sensitivity of the examined panel reached 88.5%. We were able to detect methylation in 85.7% (12/14) of early stage tumors and in 89.4% (42/47) of late stage tumors. The total efficiency of the panel was 94.4% and negative predictive value reached 90.0%. The specificity and positive predictive value achieved 100% rates. Our results showed lower gene expression in the tumor samples in comparison to control samples. The more pronounced downregulation was measured in the group of samples with detected methylation. Conclusions In our study we designed the four-gene panel for HGSOC detection in ovarian tissue with 100% specificity and sensitivity of 88.5%. The next challenge is translation of the findings to the less invasive source for biomarker examination, such as plasma. Our results indicate that combination of examined genes deserve consideration for further testing in clinical molecular diagnosis of HGSOC.

Entities:  

Keywords:  DNA methylation; biomarker; high-grade serous ovarian cancer

Year:  2020        PMID: 32145055     DOI: 10.1515/cclm-2019-1319

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  3 in total

1.  Host Genetic Risk Factors for Chlamydia trachomatis-Related Infertility in Women.

Authors:  Xiaojing Zheng; Wujuan Zhong; Catherine M O'Connell; Yutong Liu; Catherine L Haggerty; William M Geisler; Gloria E Anyalechi; Robert D Kirkcaldy; Harold C Wiesenfeld; Sharon L Hillier; Michael P Steinkampf; Karen R Hammond; Jason Fine; Yun Li; Toni Darville
Journal:  J Infect Dis       Date:  2021-08-16       Impact factor: 7.759

2.  DNA methylation-based profiling reveals distinct clusters with survival heterogeneity in high-grade serous ovarian cancer.

Authors:  Jieyu Wang; Jun Li; Ruifang Chen; Huiran Yue; Wenzhi Li; Beibei Wu; Yang Bai; Guohua Zhu; Xin Lu
Journal:  Clin Epigenetics       Date:  2021-10-13       Impact factor: 6.551

3.  Tissue-Specific Methylation Biosignatures for Monitoring Diseases: An In Silico Approach.

Authors:  Makrina Karaglani; Maria Panagopoulou; Ismini Baltsavia; Paraskevi Apalaki; Theodosis Theodosiou; Ioannis Iliopoulos; Ioannis Tsamardinos; Ekaterini Chatzaki
Journal:  Int J Mol Sci       Date:  2022-03-09       Impact factor: 5.923

  3 in total

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