miRNA profile in ovarian cancer

Copyright © 2020 Elsevier Inc. All rights reserved..

Ovarian cancer is a gynecological cancer with high mortality and a heterogeneous nature which complicates its early detection and primary prevention. Numerous studies have evaluated expression profile microRNAs (miRNAs) in tissue and serum samples of ovarian cancer patients to find appropriate biomarkers for this malignancy. Functional experiments also verified the oncogenic or suppressor effects of a number of miRNAs. miRNAs exert their role through degradation or inhibition of translation of the target mRNA. Through this regulatory function, they modulate numerous cellular processes which are ultimately associated with carcinogenesis. A number of miRNAs including miR-135a-3p, miR-200c, miR-216a and miR-340 regulate epithelial-mesenchymal transition program thus modulate invasiveness of ovarian cancer cell. Others have been shown to regulate some fundamental pathways in carcinogenesis such as mTOR and PI3K/AKT pathways. Such vast area of function of miRNAs in ovarian cancer has suggested them as putative therapeutic options for future years. In this review, we summarize the recent findings regarding the role of miRNAs in ovarian cancer pathogenesis, their application as biomarkers and the future perspectives of this research area.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:113

Enthalten in:

Experimental and molecular pathology - 113(2020) vom: 01. Apr., Seite 104381

Sprache:

Englisch

Beteiligte Personen:

Ghafouri-Fard, Soudeh [VerfasserIn]
Shoorei, Hamed [VerfasserIn]
Taheri, Mohammad [VerfasserIn]

Links:

Volltext

Themen:

Biomarkers, Tumor
Diagnosis
Journal Article
MiRNA
MicroRNAs
Ovarian cancer
Prognosis
Research Support, Non-U.S. Gov't
Review

Anmerkungen:

Date Completed 20.07.2020

Date Revised 20.07.2020

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.yexmp.2020.104381

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM305528130