Volume 14, Issue 1 (2023)                   JMBS 2023, 14(1): 0-0 | Back to browse issues page

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Karbalaei Pazoki Z, javanmard A R, hosseini S M, Irani S, Mohammad soltani B. Analysis of Non_coding RNA and mRNA-associated ovarian cancer and their potential involvement in cisplatin-resistance phenotype.. JMBS 2023; 14 (1)
URL: http://biot.modares.ac.ir/article-22-62977-en.html
1- Islamic Azad University, Science and Research Branch
2- Tarbiat modares
3- Baqiyatallah University of Medical Sciences , Geneticman2005@gmail.com
Abstract:   (1664 Views)
Resistance to chemotherapy drugs always has been an obstacle in the definitive treatment of cancers. Therefore, the discovery of molecular events leading to drug resistance improves therapeutic methods. Non-coding RNAs (ncRNAs) are a group of molecules that regulate intracellular events, including carcinogenesis and drug resistance pathways. For example, the competitive network of endogenous ncRNAs (ceRNA) regulates the mRNA expression of target genes by binding to miRNAs and limiting their regulatory effect. So far, limited studies have been reported on the role of ceRNA in drug resistance in ovarian cancer. In this study, large-scale RNAseq sequencing data obtained from cisplatin-resistant and sensitive cells were used to search for ceRNAs that are possible regulators of drug resistance in ovarian cancer. For this purpose, the A2780 sensitive and resistant cisplatin ovarian cancer cell line was selected, and the SRA data prepared by RNAseq method was screened. During this process, lncRNAs, microRNAs and mRNAs with expression changes were separated and classified. In the bioinformatic analysis of resistant and sensitive cells, 16 mRNAs, 10 lncRNAs, and 149 miRNAs were overexpressed, and 622 mRNAs, 263 lncRNAs, and 177 miRNAs were underexpressed. These genes were involved in 57 cellular pathways, and by mapping the regulatory ceRNA network, ZNRF3-AS1-miR-33-DUSP1 and ZNRF3-AS1-miR33-HSPA2 axes were identified as potential ceRNA networks involved in cisplatin-resistant ovarian cancer.
 
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Article Type: Qualitative Research | Subject: Bioinformatics
Received: 2022/07/17 | Accepted: 2022/10/9 | Published: 2024/04/3

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