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
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