ArticleScientific reports2018
Identification of Biomarkers Based on Differentially Expressed Genes in Papillary Thyroid Carcinoma.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 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
- Cartilage oligomeric matrix protein in pulmonary arterial hypertension associated with lung adenocarcinoma.Journal of cardiothoracic surgery · 2026Article
- Network-based machine learning to identify biomarkers for systemic lupus erythematosus.BMC biology · 2026Article
- Investigating the association of NBN gene polymorphisms with multiple cancers through statistical meta-analysis and bioinformatics insights.Biology methods & protocols · 2026Review
- Exploring Immune-Related Ferroptosis Genes in Thyroid Cancer: A Comprehensive Analysis.Biomedicines · 2025Article
- Identification of potential targetable genes in papillary, follicular, and anaplastic thyroid carcinoma using bioinformatics analysis.Endocrine · 2024Article
- The role of MAPK, notch and Wnt signaling pathways in papillary thyroid cancer: Evidence from a systematic review and meta-analyzing microarray datasets employing bioinformatics knowledge and literature.Biochemistry and biophysics reports · 2024Article
- Dual targeting of MAPK and PI3K pathways unlocks redifferentiation of Braf-mutated thyroid cancer organoids.Oncogene · 2024Article
- BRAFV600E/pTERT double mutated papillary thyroid cancers exhibit immune gene suppression.Frontiers in endocrinology · 2024Article
- Identification of GUCA2A and COL3A1 as prognostic biomarkers in colorectal cancer by integrating analysis of RNA-Seq data and qRT-PCR validation.Scientific reports · 2023Article
- Insight of novel biomarkers for papillary thyroid carcinoma through multiomics.Frontiers in oncology · 2023Article
- Cartilage Oligomeric Matrix Protein, Diseases, and Therapeutic Opportunities.International journal of molecular sciences · 2022Review
- Modulation of osteogenic differentiation by Escherichia coli-derived recombinant bone morphogenetic protein-2.AMB Express · 2022Article
- Expression Profile and Diagnostic Significance of MicroRNAs in Papillary Thyroid Cancer.Cancers · 2022Article
- Recurrence of Papillary Thyroid Cancer: A Systematic Appraisal of Risk Factors.The Journal of clinical endocrinology and metabolism · 2022Article
- Long non-coding ROR promotes the progression of papillary thyroid carcinoma through regulation of the TESC/ALDH1A1/TUBB3/PTEN axis.Cell death & disease · 2022Article
- Upregulated mitosis-associated genes CENPE, CENPF, and DLGAP5 predict poor prognosis and chemotherapy resistance of Acute Myeloid Leukemia.Cancer biomarkers : section A of Disease markers · 2022Article
- The Analysis of Potential Diagnostic and Therapeutic Targets for the Occurrence and Development of Gastric Cancer Based on Bioinformatics.Computational and mathematical methods in medicine · 2022Article
- Development of a prognostic signature of patients with esophagus adenocarcinoma by using immune-related genes.BMC bioinformatics · 2021Article
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7 authors.
Funding
Abstract
The incidence of papillary thyroid carcinoma (PTC) is increasing rapidly throughout the world. Hence, there is an urgent need for identifying more specific and sensitive biomarkers to explorate the pathogenesis of PTC. In this study, three pairs of stage I PTC tissues and matched normal adjacent tissues were sequenced by RNA-Seq, and 719 differentially expressed genes (DEGs) were screened. KEGG pathway enrichment analyses indicated that the DEGs were significantly enriched in 28 pathways. A total of 18 nodes consisting of 20 DEGs were identified in the top 10% of KEGG integrated networks. The functions of DEGs were further analysed by GO. The 13 selected genes were confirmed by qRT-PCR in 16 stage I PTC patients and by The Cancer Genome Atlas (TCGA) database. The relationship interactions between DEGs were analysed by protein-protein interaction networks and chromosome localizations. Finally, four newly discovered genes, COMP, COL3A1, ZAP70, and CD247, were found to be related with PTC clinical phenotypes, and were confirmed by Spearman's correlation analyses in TCGA database. These four DEGs might be promising biomarkers for early-stage PTC, and provide an experimental foundation for further exploration of the pathogenesis of early-stage PTC.
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