ArticleOncology letters2020
Integrated bioinformatics analysis of the association between apolipoprotein E expression and patient prognosis in papillary thyroid carcinoma.
Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Identification of oxidative stress-related genes in papillary thyroid carcinoma and their common targets with resveratrol based on bioinformatics, network pharmacology, and molecular docking.Discover oncology · 2025Article
- Exploring the mechanism of vitamin C on the co-expressed genes of papillary thyroid carcinoma and Epstein-Barr virus based on bioinformatics, network pharmacology and molecular docking analysis.Discover oncology · 2025Article
- Single-cell RNA-sequencing and spatial transcriptomic analysis reveal a distinct population of APOEClinical and translational medicine · 2025Article
- Review
- Apolipoproteins: New players in cancers.Frontiers in pharmacology · 2022Review
- Clinicopathologic Analysis of Cathepsin B as a Prognostic Marker of Thyroid Cancer.International journal of molecular sciences · 2020Article
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 prognosis of most patients with papillary thyroid carcinoma (PTC) is excellent despite some cases of tumor progression or relapse. The present study was designed to reveal possible prognostic risk indicators for PTC. Differentially expressed genes (DEGs) extracted from 4 Gene Expression Omnibus (GEO) cohorts were subjected to functional enrichment analyses by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analysis. A dataset from The Cancer Genome Atlas (TCGA) was obtained to filter and validate significant genes using cytoHubba, followed by analysis of their association with clinicopathological characteristics and prognosis. In total, 240 DEGs were identified after data preprocessing. These DEGs were enriched in 'intracellular redox equilibrium', 'release of exosome', 'cell adhesion', 'regulation of extracellular matrix', 'collagen binding' and 'energy metabolism' based on GO analysis which including cellular component, molecular function and biological process. KEGG pathway analysis revealed that the DEGs were enriched in thyroid hormone synthesis, pathways in cancer, focal adhesion, metabolic pathways, apoptosis, PPAR signaling pathway and PI3K/AKT signaling pathway. Using cytoHubba, the following hub genes were identified: Apolipoprotein E (APOE); hemoglobin subunit α1 (HBA1); angiotensin II receptor 1 (AGTR1); collagen I α1 (COL1A1); galectin 3 (LGALS3) and TIMP metallopeptidase inhibitor 1 (TIMP1). The expression of these genes was found to be consistent in TCGA datasets. Kaplan-Meier analysis revealed that APOE was significantly associated with overall survival (P=0.00067) and disease free survival (P=0.00220). Additionally, low expression of APOE was significantly associated with older age (P<0.001) and higher TNM stage (P<0.001) compared with the high expression group. Therefore, APOE may function as a predictive risk indicator for progression as well as prognosis of PTC.
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