In this study, we examined the molecular mechanism of thyroid carcinoma (THCA) using bioinformatics. RNA-sequencing data of THCA (N = 498) and normal thyroid tissue (N = 59) were downloaded from The Cancer Genome Atlas. Next, gene expression levels were calculated using the TCC package and differentially expressed genes (DEGs) were identified using the edgeR package. A co-expression network was constructed using the EBcoexpress package and visualized by Cytoscape, and functional and pathway enrichment of DEGs in the co-expression network was analyzed with DAVID and KOBAS 2.0.
Differentially expressed genes
Chronic lymphocytic leukemia (CLL) is a disease that involves progressive accumulation of nonfunctioning lymphocytes and has a low cure rate. There is an urgent requirement to determine the molecular mechanism underlying this disease in order to improve the early diagnosis and treatment of CLL. In this study, genes differentially expressed between CLL samples and age-matched controls were identified using microRNA (miRNA) and mRNA expression profiles. Differentially expressed (DE) miRNA targets were predicted by combining five algorithms.