Integrated bioinformatics analysis to screen hub genes in the lymph node metastasis of thyroid cancer.

Integrated bioinformatics analysis to screen hub genes in the lymph node metastasis of thyroid cancer. Oncol Lett. 2020 Feb;19(2):1375-1383 Authors: Lu S, Zhao R, Shen J, Zhang Y, Shi J, Xu C, Chen J, Lin R, Han W, Luo D Abstract Thyroid cancer (TC) is one of the most common types of malignancy of the endocrine-system. At present, there is a lack of effective methods to predict neck lymph node metastasis (LNM) in TC. The present study compared the expression profiles from The Cancer Genome Atlas between N1M0 and N0M0 subgroups in each T1-4 stages TC in order to identify the four groups of TC LNM-associated differentially expressed genes (DEGs). Subsequently, DEGs were combined to obtain a total of 493 integrated DEGs by using the method of Robust Rank Aggregation. Furthermore, the underlying mechanisms of LNM were investigated. The results from Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses demonstrated that the identified DEGs may promote LNM via numerous pathways, including extracellular matrix-receptor interaction, PI3K-AKT signaling pathway and focal adhesion. Following construction of a protein-protein interaction network, the significance score for each gene was calculated and seven hub genes were screened, including interleukin 6, actinin α2, collagen type I α 1 chain, actin α1, calbindin 2, thrombospondin 1 and parathyroid hormone. These genes were predicted to serve crucial roles in ...
Source: Oncology Letters - Category: Cancer & Oncology Tags: Oncol Lett Source Type: research