ArticleBioscience reports2019
Identification and analysis of genes associated with papillary thyroid carcinoma by bioinformatics methods.
Article in Bioscience reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 21 citations in OpenAlex.
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- Integrative transcriptomics and single-cell transcriptomics analyses reveal potential biomarkers and mechanisms of action in papillary thyroid carcinoma.Frontiers in genetics · 2025Article
- Identifying and analyzing the key genes shared by papillary thyroid carcinoma and Hashimoto's thyroiditis using bioinformatics methods.Frontiers in endocrinology · 2023Article
- Identification of a Four-Gene Signature for Determining the Prognosis of Papillary Thyroid Carcinoma by Integrated Bioinformatics Analysis.International journal of general medicine · 2022Article
- Insights Into the Research Status of Neuromedin U: A Bibliometric and Visual Analysis From 1987 to 2021.Frontiers in medicine · 2022Article
- Identification of hub genes in thyroid carcinoma to predict prognosis by integrated bioinformatics analysis.Bioengineered · 2021Article
- Identification of key biomarkers for thyroid cancer by integrative gene expression profiles.Experimental biology and medicine (Maywood, N.J.) · 2021Article
- TNRC6C-AS1 Promotes Thyroid Cancer Progression by Upregulating LPAR5 via miR-513c-5p.Cancer management and research · 2021Article
- Integrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma.PloS one · 2021Article
- Fibronectin 1 inhibits the apoptosis of human trophoblasts by activating the PI3K/Akt signaling pathway.International journal of molecular medicine · 2020Article
- Identification of key genes of papillary thyroid carcinoma by integrated bioinformatics analysis.Bioscience reports · 2020Article
- Identification of key miRNAs in papillary thyroid carcinoma based on data mining and bioinformatics methods.Biomedical reports · 2020Article
- Systems Biology Integration and Screening of Reliable Prognostic Markers to Create Synergies in the Control of Lung Cancer Patients.Frontiers in molecular biosciences · 2020Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The molecular mechanism of the occurrence and development of papillary thyroid carcinoma (PTC) has been widely explored, but has not been completely elucidated. The present study aimed to identify and analyze genes associated with PTC by bioinformatics methods. Two independent datasets were downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between PTC tissues and matched non-cancerous tissues were identified using GEO2R tool. The common DEGs in the two datasets were screened out by VennDiagram package, and analyzed by the following tools: KOBAS, Database for Annotation, Visualization, and Integrated Discovery (DAVID), Search tool for the retrieval of interacting genes/proteins (STRING), UALCAN and Gene expression profiling interactive analysis (GEPIA). A total of 513 common DEGs, including 259 common up-regulated and 254 common down-regulated genes in PTC, were screened out. These common up-regulated and down-regulated DEGs were most significantly enriched in cytokine-cytokine receptor interaction and metabolic pathways, respectively. Protein-protein interactions (PPI) network analysis showed that the up-regulated genes:
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