ZÁVESKÝ, Luděk, Eva JANDÁKOVÁ, Vít WEINBERGER, Luboš MINÁŘ, Veronika HANZÍKOVÁ, Daniela DUŠKOVÁ, Lenka ZÁVESKÁ DRÁBKOVÁ, Iveta SVOBODOVÁ and Aleš HOŘÍNEK. Ascites-Derived Extracellular microRNAs as Potential Biomarkers for Ovarian Cancer. REPRODUCTIVE SCIENCES. THOUSAND OAKS: SAGE PUBLICATIONS INC, vol. 26, No 4, p. 510-522. ISSN 1933-7191. doi:10.1177/1933719118776808. 2019.
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Basic information
Original name Ascites-Derived Extracellular microRNAs as Potential Biomarkers for Ovarian Cancer
Authors ZÁVESKÝ, Luděk (203 Czech Republic, guarantor), Eva JANDÁKOVÁ (203 Czech Republic), Vít WEINBERGER (203 Czech Republic, belonging to the institution), Luboš MINÁŘ (203 Czech Republic, belonging to the institution), Veronika HANZÍKOVÁ (203 Czech Republic), Daniela DUŠKOVÁ (203 Czech Republic), Lenka ZÁVESKÁ DRÁBKOVÁ (203 Czech Republic), Iveta SVOBODOVÁ (203 Czech Republic) and Aleš HOŘÍNEK (203 Czech Republic).
Edition REPRODUCTIVE SCIENCES, THOUSAND OAKS, SAGE PUBLICATIONS INC, 2019, 1933-7191.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30214 Obstetrics and gynaecology
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.616
RIV identification code RIV/00216224:14110/19:00109661
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1177/1933719118776808
UT WoS 000461442500009
Keywords in English ovarian cancer; ascites; microRNA; diagnostic markers; prognostic markers
Tags 14110411, rivok
Tags International impact, Reviewed
Changed by Changed by: Soňa Böhmová, učo 232884. Changed: 16/5/2019 12:01.
Abstract
Ovarian cancer as the most fatal gynecological malignancy is often manifested by excessive fluid accumulation known as ascites or effusion. Ascites-derived microRNAs (miRNAs) may be closely associated with ovarian cancer progression. However, our knowledge of their roles, altered expression, and clinical outcomes remained limited. In this study, large-scale expression profiling of 754 human miRNAs was performed using real-time quantitative polymerase chain reaction and 384-well TaqMan array human miRNA A and B cards to identify differentially expressed miRNAs between extracellular fraction of the ascitic fluid associated with high-grade serous ovarian carcinomas and control plasma. Of the 754 miRNAs, 153 were significantly differentially expressed relative to the controls. Expression of 7 individual miRNAs (miR-200a, miR-200b, miR-200c, miR-141, miR-429, miR-1290, and miR-30a-5p) was further validated in extended sample sets, including serous, endometrioid, and mucinous subtypes. All miR-200 family members and miR-1290 were conspicuously overexpressed, while miR-30a-5p was only weakly overexpressed. The ability of miRNAs expression to discriminate the pathological samples from the controls was strong. Receiver operating characteristic curve analyses found area under the curve (AUC) values of 1.000 for miR-200a, miR-200c, miR-141, miR-429, and miR-1290 and of AUC 0.996 and 0.885 for miR-200b and miR-30a-5p, respectively. Preliminary survival analyses indicated low expression level of miR-200b as significantly related to longer overall survival (hazard ratio [HR]: 0.25, mean survival 44 months), while high expression level was related to poor overall survival (HR: 4.04, mean survival 24 months). Our findings suggested that ascites-derived miRNAs should be further explored and evaluated as potential diagnostic and prognostic biomarkers for ovarian cancer.
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