ArticleMolecular medicine reports2016
Identification of potential biomarkers and drugs for papillary thyroid cancer based on gene expression profile analysis.
Article in Molecular medicine reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- The role of PI3K signaling pathway and its associated genes in papillary thyroid cancer.Journal of the Egyptian National Cancer Institute · 2021Pooled it
- Identification and assessment ofOncology letters · 2026Article
- Multidimensional transcriptomic and immune profiling of papillary thyroid cancer: bridging molecular networks, disease stage, survival outcomes, and drug discovery.Discover oncology · 2025Article
- Identification of potential targetable genes in papillary, follicular, and anaplastic thyroid carcinoma using bioinformatics analysis.Endocrine · 2024Article
- Expression of Collagen XIII in Tissues of the Thyroid and Orbit With Relevance to Thyroid-Associated Ophthalmopathy.Investigative ophthalmology & visual science · 2024Article
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- Susceptibility Genes and Chromosomal Regions Associated With Non-Syndromic Familial Non-Medullary Thyroid Carcinoma: Some Pathogenetic and Diagnostic Keys.Frontiers in endocrinology · 2022Review
- Large-scale transcriptomic analysis of coding and non-coding pathological biomarkers, associated with the tumor immune microenvironment of thyroid cancer and potential target therapy exploration.Frontiers in cell and developmental biology · 2022Article
- Single neonatal irradiation induces long-term gene expression changes in the thyroid gland, which may be involved in the tumorigenesis.Scientific reports · 2021Article
- Searching for essential genes and drug discovery in breast cancer and periodontitis via text mining and bioinformatics analysis.Anti-cancer drugs · 2021Article
- Identification of key biomarkers for thyroid cancer by integrative gene expression profiles.Experimental biology and medicine (Maywood, N.J.) · 2021Article
- Genome-Wide Histone H3K27 Acetylation Profiling Identified Genes Correlated With Prognosis in Papillary Thyroid Carcinoma.Frontiers in cell and developmental biology · 2021Article
- Identification of key genes of papillary thyroid carcinoma by integrated bioinformatics analysis.Bioscience reports · 2020Article
- Bioinformatics analysis to screen key genes in papillary thyroid carcinoma.Oncology letters · 2020Article
- Exploration of the Potential Biomarkers of Papillary Thyroid Cancer (PTC) Based on RTCancer management and research · 2020Article
- MiR-4500 Regulates PLXNC1 and Inhibits Papillary Thyroid Cancer Progression.Hormones & cancer · 2019Article
- Screening and identification of potential target genes in head and neck cancer using bioinformatics analysis.Oncology letters · 2019Article
- Article
- Papillary Thyroid Cancer: Genetic Alterations and Molecular Biomarker Investigations.International journal of medical sciences · 2019Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study aimed to systematically examine the molecular mechanisms of papillary thyroid cancer (PTC), and identify potential biomarkers and drugs for the treatment of PTC. Two microarray data sets (GSE3467 and GSE3678), containing 16 PTC samples and 16 paired normal samples, were downloaded from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) were identified using the Linear Models for Microarray Analysis package. Subsequently, the common DEGs were screened for functional and pathway enrichment analysis using the Database for Annotation Visualization and Integrated Discovery. The representative interaction subnetwork was further derived using Molecular Complex Detection software. In addition, the potential drugs for the hub DEGs in the subnetwork were screened from DrugBank and the potential drug‑like ligands, which interacted with genes, were selected using MTiOpenScreen. A total of 167 common DEGs, including 77 upregulated and 90 downregulated DEGs, were screened. The common DEGs were associated with the functions of plasma membrane, extracellular matrix, response to steroid hormone stimulus and cell adhesion, and the pathways of tyrosine metabolism and cell adhesion molecules were significantly enriched. A total of eight common DEGs (MET, SERPINA1, LGALS3, FN1, TNFRSF11B, LAMB3 and COL13A1) were involved in the subnetwork. The two drugs, lanoteplase and ocriplasmin, and four drugs, β‑mercaptoethanol, recombinant α 1‑antitrypsin, PPL‑100 and API, were found for FN1 and SERPINA1, respectively. The common DEGs identified may be potential biomarkers for PCT. FN1 and SERPINA1 may be involved in PTC by regulating epithelial‑to‑mesenchymal transition and responding to steroid hormone stimuli, respectively. Ocriplasmin, β‑mercaptoethanol and recombinant α 1‑antitrypsin may be potential drugs for the treatment of PTC.
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