Identification of key genes of papillary thyroid cancer using integrated bioinformatics analysis

Objective To identify novel clinically relevant genes in papillary thyroid carcinoma from public databases. Methods Four original microarray datasets, GSE3678, GSE3467, GSE33630 and GSE58545, were downloaded. Differentially expressed genes (DEGs) were filtered from integrated data. Gene ontology (GO...

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Veröffentlicht in:	Journal of endocrinological investigation 2018-10, Vol.41 (10), p.1237-1245
Hauptverfasser:	Liang, W., Sun, F.
Format:	Artikel
Sprache:	eng
Schlagworte:	1-Phosphatidylinositol 3-kinase AKT protein Bioinformatics Collagen (type I) Computational Biology - methods Computational Biology - trends CXCL12 protein Databases, Genetic - trends DNA microarrays Endocrinology Gene Expression Profiling - methods Gene Expression Profiling - trends Gene Ontology - trends Gene Regulatory Networks - genetics Genomes Humans Medicine Medicine & Public Health Metabolic Diseases Original Article Papillary thyroid cancer Papillary thyroid carcinoma Proteins Proteoglycans Signal transduction Survival analysis Thyroid cancer Thyroid Cancer, Papillary - diagnosis Thyroid Cancer, Papillary - genetics Thyroid Neoplasms - diagnosis Thyroid Neoplasms - genetics
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