Abstract PR02: Epigenetic biomarkers in cell-free DNA for early detection of high-grade serous ovarian carcinoma

Author(s):  
Ben Yi Tew ◽  
Gerald Gooden ◽  
David N. Buckley ◽  
Heather Miller ◽  
Monique Spillman ◽  
...  
2020 ◽  
Vol 159 ◽  
pp. 98-99
Author(s):  
H. Miller ◽  
D.N. Buckley ◽  
G.C. Gooden ◽  
M.A. Spillman ◽  
L.D. Roman ◽  
...  

2020 ◽  
Vol 58 (8) ◽  
pp. 1332-1340
Author(s):  
Ivana Baranova ◽  
Helena Kovarikova ◽  
Jan Laco ◽  
Iva Sedlakova ◽  
Filip Vrbacky ◽  
...  

AbstractBackgroundThe 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).MethodsFor 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.ResultsThe 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.ConclusionsIn 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.


2018 ◽  
Vol 149 (3) ◽  
pp. 585-591 ◽  
Author(s):  
Chanhee Han ◽  
Stefania Bellone ◽  
Eric R. Siegel ◽  
Gary Altwerger ◽  
Gulden Menderes ◽  
...  

2015 ◽  
Vol 139 (1) ◽  
pp. 196
Author(s):  
C. Morse ◽  
B. Norquist ◽  
S. Bernards ◽  
M. Harrell ◽  
K. Agnew ◽  
...  

2013 ◽  
Vol 27 (7) ◽  
pp. 991-1001 ◽  
Author(s):  
Anca Milea ◽  
Sophia HL George ◽  
Donco Matevski ◽  
Haiyan Jiang ◽  
Mary Madunic ◽  
...  

2012 ◽  
Vol 228 (2) ◽  
pp. 204-215 ◽  
Author(s):  
Zhaojian Liu ◽  
Jinsong Liu ◽  
Miguel F Segura ◽  
Changshun Shao ◽  
Peng Lee ◽  
...  

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