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Scientific paper - Original scientific paper
MiRNA-mRNA integrative analysis reveals epigenetically regulated and prognostic miR-103a with a role in migration and invasion of carboplatin-resistant ovarian cancer cells that acquired mesenchymal-like phenotype
Biomedicine & Pharmacotherapy, 166 (2023); 115349. https://doi.org/10.1016/j.biopha.2023.115349
Pernar Kovač, Margareta; Tadić, Vanja; Kralj, Juran; Milković Periša, Marija; Orešković, Slavko; Babić, Ivan; Banović, Vladimir; Zhang, Wei; Culig, Zoran; Brozović, Anamaria

Institutional repository: Dr Med - University of Zagreb School of Medicine Digital Repository

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Pernar Kovač, M., Tadić, V., Kralj, J., Milković Periša, M., Orešković, S., Babić, I. ... Brozović, A. (2023). MiRNA-mRNA integrative analysis reveals epigenetically regulated and prognostic miR-103a with a role in migration and invasion of carboplatin-resistant ovarian cancer cells that acquired mesenchymal-like phenotype. Biomedicine & Pharmacotherapy, 166.. doi: 10.1016/j.biopha.2023.115349

Pernar Kovač, Margareta, et al. "MiRNA-mRNA integrative analysis reveals epigenetically regulated and prognostic miR-103a with a role in migration and invasion of carboplatin-resistant ovarian cancer cells that acquired mesenchymal-like phenotype." Biomedicine & Pharmacotherapy, vol. 166, 2023. https://doi.org/10.1016/j.biopha.2023.115349

Pernar Kovač, Margareta, Vanja Tadić, Juran Kralj, Marija Milković Periša, Slavko Orešković, Ivan Babić, Vladimir Banović, Wei Zhang, Zoran Culig and Anamaria Brozović. "MiRNA-mRNA integrative analysis reveals epigenetically regulated and prognostic miR-103a with a role in migration and invasion of carboplatin-resistant ovarian cancer cells that acquired mesenchymal-like phenotype." Biomedicine & Pharmacotherapy 166 (2023). https://doi.org/10.1016/j.biopha.2023.115349

Pernar Kovač, M., et al. (2023) 'MiRNA-mRNA integrative analysis reveals epigenetically regulated and prognostic miR-103a with a role in migration and invasion of carboplatin-resistant ovarian cancer cells that acquired mesenchymal-like phenotype', Biomedicine & Pharmacotherapy, 166. doi: 10.1016/j.biopha.2023.115349

Pernar Kovač M, Tadić V, Kralj J, Milković Periša M, Orešković S, Babić I, and sur.. MiRNA-mRNA integrative analysis reveals epigenetically regulated and prognostic miR-103a with a role in migration and invasion of carboplatin-resistant ovarian cancer cells that acquired mesenchymal-like phenotype. Biomedicine & Pharmacotherapy [Internet]. 2023 October [cited 2024 December 28];166. doi: 10.1016/j.biopha.2023.115349

M. Pernar Kovač, et al., "MiRNA-mRNA integrative analysis reveals epigenetically regulated and prognostic miR-103a with a role in migration and invasion of carboplatin-resistant ovarian cancer cells that acquired mesenchymal-like phenotype", Biomedicine & Pharmacotherapy, vol. 166, October 2023. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:105:807947. [Accessed: 28 December 2024]

Metadata
Title (english)MiRNA-mRNA integrative analysis reveals epigenetically regulated and prognostic miR-103a with a role in migration and invasion of carboplatin-resistant ovarian cancer cells that acquired mesenchymal-like phenotype
AuthorMargareta Pernar Kovač
AuthorVanja Tadić
AuthorJuran Kralj
AuthorMarija Milković Periša
AuthorSlavko Orešković
AuthorIvan Babić
AuthorVladimir Banović
AuthorWei Zhang
AuthorZoran Culig
AuthorAnamaria Brozović
Author's institutionUniversity of Zagreb
School of Medicine
(Department of Gynecology and Obstetrics)
Scientific / art field,
discipline and subdiscipline		BIOMEDICINE AND HEALTHCARE
Clinical Medical Sciences
Gynecology and Obstetrics
Abstract (english)
Background: DNA methylation, histone modifications, and miRNAs affect ovarian cancer (OC) progression and therapy response. Purpose: Identification of epigenetically downregulated miRNAs in drug-resistant OC cell lines with a possible role in drug resistance and/or drug-induced mesenchymal-like phenotype. Methods: MiRNA profiling was performed on parental and carboplatin-resistant OC cells, MES-OV and MES-OV CBP. RT-qPCR validation, epigenetic modulation and other CBP-resistant OC cell lines were used to select miRNAs of interest. The integration of miRNA-predicted target genes and differentially expressed genes (DEGs), pathway and functional analysis were used for forecasting their biological role. Data mining was performed to determine their possible prognostic and predictive values. Results: MiRNA profiling revealed 48 downregulated miRNAs in OC cells whose drug sensitivity and metastatic potential were impacted by epigenetic modulators. Of the fourteen selected, nine were validated as changed, and seven of these restored their expression upon treatment with epigenetic inhibitors. Only three had similar expression patterns in other OC cell lines. MiRNA-mRNA integrative analysis resulted in 56 target DEGs. Pathway analysis revealed that these genes are involved in cell adhesion, migration, and invasion. The functional analysis confirmed the role of miR-103a-3p, miR-17-5p and miR-107 in cell invasion, while data mining showed their prognostic and predictive values. Only miR-103a-3p was epigenetically regulated at the constitutive level. Conclusion: High throughput miRNA and cDNA profiling coupled with pathway analysis and data mining delivered evidence for miRNAs which can be epigenetically regulated in drug-resistant, mesenchymal-like OC cells as possible markers to combat therapy-induced short overall survival and tumor metastatic potential.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titleBiomedicine & Pharmacotherapy
Numberingvol. 166, 115349
p-ISSN0753-3322
DOIhttps://doi.org/10.1016/j.biopha.2023.115349
URN:NBNurn:nbn:hr:105:807947
Publication2023-10
Document URLhttps://linkinghub.elsevier.com/retrieve/pii/S075333222301140X
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) icon
Created on2024-08-19 08:25:57