Intracellular retention of thyroglobulin in the absence of the low-density lipoprotein receptor-associated protein (RAP) is likely due to premature binding to megalin in the biosynthetic pathway

Lisi, Simonetta; Botta, Roberta; Dottore, Giovanna Rotondo; Leo, Marenza; Latrofa, Francesco; Vitti, Paolo; Marinò, Michele

doi:10.1007/s40618-016-0464-2

Cited by 4 publications

(1 citation statement)

References 27 publications

(64 reference statements)

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“…SLC26A4 [30] and other genes revealed follicular variant of PTC CD36 [31] was reported to correlate with neovascularization of PTC DCN [32] could help for thyroid tumors to better define a tumor signature and be useful for thyroid tumor treatment. LRP2 [33] makes effects for thyroid through expressing retained intracellularly. AGTR1 [34] methylation signatures which involved in the logistic regression model, may related to thyroid cancer.…”

Section: Resultsmentioning

confidence: 99%

Network Analyses of Integrated Differentially Expressed Genes in Papillary Thyroid Carcinoma to Identify Characteristic Genes

Shang

Qian

Yuan

et al. 2019

Genes

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Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer. Identifying characteristic genes of PTC are of great importance to reveal its potential genetic mechanisms. In this paper, we proposed a framework, as well as a measure named Normalized Centrality Measure (NCM), to identify characteristic genes of PTC. The framework consisted of four steps. First, both up-regulated genes and down-regulated genes, collectively called differentially expressed genes (DEGs), were screened and integrated together from four datasets, that is, GSE3467, GSE3678, GSE33630, and GSE58545; second, an interaction network of DEGs was constructed, where each node represented a gene and each edge represented an interaction between linking nodes; third, both traditional measures and the NCM measure were used to analyze the topological properties of each node in the network. Compared with traditional measures, more genes related to PTC were identified by the NCM measure; fourth, by mining the high-density subgraphs of this network and performing Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, several meaningful results were captured, most of which were demonstrated to be associated with PTC. The experimental results proved that this network framework and the NCM measure are useful for identifying more characteristic genes of PTC.

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