Mining Potential MicroRNA Biomarkers related to IQGAPs of Tyroid Carcinoma through in silico process

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Authors Stefanus Satrio Hadi Wibowo, David Agustriawan, Jeremias Ivan, Arli Aditya Parikesit, Rizky Nurdiansyah
Journal/Conference Name Journal of Physics: Conference Series
Paper Category
Paper Abstract Thyroid carcinoma (THCA) incidence has already increased by 6.2% per year and become the sixth most common malignancy diagnosed in women. The IQGAP-miRNA interaction was known to affect many cancer types, including the carcinoma. Through in silico process known as miTS, a miRNA biomarker was researched along with its molecular pathway intervention. The input of the pipeline was THCA patients from GDC Data Portal ID and it underwent data mining, statistical, and visualization process using bioinformatics tools and databases such as TCGA Assembler in R Studio, Matlab, and STRING database. The aim of this study is to discover a potential microRNA biomarker regulating the expression of IQGAP in THCA along with its acknowledged pathways. Our study shows that (1) IQGAP1 become a promoter to the growth of THCA through supporting the growth of adherens junctions in cytoskeleton, (2) IQGAP2 was a cancer suppressor, (3) miR-146b have relation with MMP16, (4) it is still unknown whether miR-146b upregulate or downregulate the PDGFRA expression in THCA. Furthermore, the pipeline of the process and command line used was provided in an open-source package (https//github.com/stefanuswibowo/miTS_Pathway).
Date of publication 2019
Code Programming Language R
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