• Title of article

    Upregulation of miR-142 in papillary thyroid carcinoma tissues: a report based on in silico and in vitro analysis

  • Author/Authors

    Valizadeh, Sepehr Department of Internal Medicine - School of Medicine - Tabriz University of Medical Sciences, Tabriz, Iran , Zehtabi, Mojtaba Hematology and Oncology Research Center - Tabriz University of Medical Sciences, Tabriz, Iran , Feiziordaklou, Neda Department of Internal Medicine - School of Medicine - Tabriz University of Medical Sciences, Tabriz, Iran , Akbarpour, Zahra Rahat Breathe and Sleep Research Center - Tabriz University of Medical Sciences, Tabriz, Iran , Khamaneh, Amir Mahdi Department of Molecular Medicine - Faculty of Advanced Medical Sciences - Tabriz University of Medical Sciences, Tabriz, Iran , Raeisi, Mortaza Hematology and Oncology Research Center - Tabriz University of Medical Sciences, Tabriz, Iran

  • Pages
    9
  • From page
    133
  • To page
    141
  • Abstract
    Papillary thyroid carcinoma (PTC) accounts for approximately 80% of all human thyroid malignancies. Recently, there has been a dramatic rise in the prevalence of thyroid cancer all over the globe. Through analysis of the GEO database, GSE104005, the authors of the current research were able to determine the differential expression of microRNAs (DEMs) as well as their target genes. Real-time PCR was used on a total of 40 samples, 40 of which were from PTC samples and 40 from normal tissues, in order to validate the discovered DEMs and the genes. Gene Ontology (GO) categories were identified, and KEGG was used to conduct pathway enrichment analysis. The multiMiR R package was used to predict target genes of DEMs. Mir-142 was found to be overexpressed in PTC samples, as compared to normal tissues, and this was validated by the identification and validation. In addition, metal ion binding and the cellular response to metal ions were identified as essential pathways in the carcinogenesis of PTC. This demonstrates their significance in the development of this malignancy. The results of our research will serve as the foundation for further research in the area of miRNA-based cancer treatment.
  • Keywords
    Papillary thyroid cancer , MicroRNA , Bioinformatics , Microarray data analysis
  • Journal title
    Molecular Biology Research Communications
  • Serial Year
    2022
  • Record number

    2732684