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INTERNATIONAL CONGRESS OF

CancerGenetics

• Reduced KCNA1 Expression Predicts Prognosis and Metastatic Potential in Papillary Thyroid Carcinoma

• Matin Bohlooli,¹ Seyed Morteza Javadi Rad,^2,*
  1. MS student, Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, 81746-73441, Isfahan, Iran. matin.bohlooli.ui@gmail.com
  2. Assistant Professor of Molecular Genetics, Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, 81746-73441, Isfahan, Iran. javadirad@yahoo.com
  
  
  
• Introduction: Papillary thyroid carcinoma (PTC) represents a prevalent and well-differentiated variant of thyroid cancer. Both environmental and genetic factors contribute to the development of PTC. The examination of multiple genes associated with PTC has not fully clarified its precise genetic basis. This research sought to identify essential genes associated with PTC outcomes.
• Methods: Analysis was conducted on the GSE104005 dataset, comprising 19 PTC tissues and 5 normal tissues adjacent to PTC tumors. Log2 transformation was utilized to assess data quality, followed by the execution of principal component analysis (PCA). The Limma software was utilized for the analysis of differential gene expression. Genes exhibiting a log fold change (logFC) greater than 1.2 and adjusted p-values less than 0.05 were identified as differentially expressed genes (DEGs). RNA-seq data were assessed utilizing the UALCAN database, and analyses of survivability, stage, and nodal metastasis were conducted. Ten papillary thyroid cancer (PTC) tissues and ten adjacent normal tissues were obtained following thyroid surgery. Total RNA extraction, complementary DNA synthesis, and reverse transcription quantitative polymerase chain reaction (RT-qPCR) will be conducted.
• Results: Potassium Voltage-Gated Channel Subfamily A member 1 (KCNA1) was identified as a differentially expressed gene in the microarray data analysis, showing a logFC of -3.74 and an adjusted p-value of 3.5E-06. Increased KCNA1 expression, compared to low or medium levels, was significantly correlated with reduced patient survival probability (p-value of 1E-04). The expression of KCNA1 was analyzed across various biological stages; however, no statistically significant differences were detected. The median expression level of KCNA1 in tumors without regional lymph node infiltration (N0) was 0.005, whereas it was 0 in tumors with axillary lymph node metastases (N1). Analyses indicated a statistically significant difference in KCNA1 expression between N0 and N1 tumors, with a p-value of 3.68E-02. No statistically significant difference in KCNA1 expression was found between male and female patients.
• Conclusion: The KCNA1 gene demonstrated a notable decrease in expression in PTC relative to adjacent normal tissues. The diminished expression of KCNA1 correlated with improved patient survival and increased metastasis.
• Keywords: PTC, microarray, KCNA1, qPCR, RNAseq