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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11150%2F20%3A10417593" target="_blank" >RIV/00216208:11150/20:10417593 - isvavai.cz</a>

Alternative codes found

RIV/00179906:_____/20:10417593

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=gYVnDGkJyv" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=gYVnDGkJyv</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1515/cclm-2019-1319" target="_blank" >10.1515/cclm-2019-1319</a>

Result language

angličtina

Original language name

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

Original language description

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-(Delta Delta Ct) 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.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

30100 - Basic medicine

Project

<a href="/en/project/EF16_013%2F0001674" target="_blank" >EF16_013/0001674: BBMRI-CZ: Biobank network - a versatile platform for the research of the etiopathogenesis of diseases</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Clinical Chemistry and Laboratory Medicine

ISSN

1434-6621

e-ISSN

—

Volume of the periodical

58

Issue of the periodical within the volume

8

Country of publishing house

DE - GERMANY

Number of pages

9

Pages from-to

1332-1340

UT code for WoS article

000546347600033

EID of the result in the Scopus database

2-s2.0-85082186943