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

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.

2020 ◽  
Vol 159 ◽  
pp. 98-99
Author(s):  
H. Miller ◽  
D.N. Buckley ◽  
G.C. Gooden ◽  
M.A. Spillman ◽  
L.D. Roman ◽  
...  

Author(s):  
Ben Yi Tew ◽  
Gerald Gooden ◽  
David N. Buckley ◽  
Heather Miller ◽  
Monique Spillman ◽  
...  

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

Cancers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 325
Author(s):  
Christopher Walker ◽  
Tuan-Minh Nguyen ◽  
Shlomit Jessel ◽  
Ayesha B. Alvero ◽  
Dan-Arin Silasi ◽  
...  

Background: Mortality from ovarian cancer remains high due to the lack of methods for early detection. The difficulty lies in the low prevalence of the disease necessitating a significantly high specificity and positive-predictive value (PPV) to avoid unneeded and invasive intervention. Currently, cancer antigen- 125 (CA-125) is the most commonly used biomarker for the early detection of ovarian cancer. In this study we determine the value of combining macrophage migration inhibitory factor (MIF), osteopontin (OPN), and prolactin (PROL) with CA-125 in the detection of ovarian cancer serum samples from healthy controls. Materials and Methods: A total of 432 serum samples were included in this study. 153 samples were from ovarian cancer patients and 279 samples were from age-matched healthy controls. The four proteins were quantified using a fully automated, multi-analyte immunoassay. The serum samples were divided into training and testing datasets and analyzed using four classification models to calculate accuracy, sensitivity, specificity, PPV, negative predictive value (NPV), and area under the receiver operating characteristic curve (AUC). Results: The four-protein biomarker panel yielded an average accuracy of 91% compared to 85% using CA-125 alone across four classification models (p = 3.224 × 10−9). Further, in our cohort, the four-protein biomarker panel demonstrated a higher sensitivity (median of 76%), specificity (median of 98%), PPV (median of 91.5%), and NPV (median of 92%), compared to CA-125 alone. The performance of the four-protein biomarker remained better than CA-125 alone even in experiments comparing early stage (Stage I and Stage II) ovarian cancer to healthy controls. Conclusions: Combining MIF, OPN, PROL, and CA-125 can better differentiate ovarian cancer from healthy controls compared to CA-125 alone.


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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