ArticleBioscience reports2020
Identification of key genes of papillary thyroid carcinoma by integrated bioinformatics analysis.
Article in Bioscience reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 16 citations in OpenAlex.
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- Integrated transcriptomics approach identifies the upregulated SLC7A5, and associated pathways across different thyroid cancer cell types.Frontiers in genetics · 2026Article
- Identification of novel cholesterol metabolism-related biomarkers for thyroid cancer to predict the prognosis, immune infiltration, and drug sensitivity.Discover oncology · 2025Article
- Identification of potential targetable genes in papillary, follicular, and anaplastic thyroid carcinoma using bioinformatics analysis.Endocrine · 2024Article
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- Coix seed oil alleviates synovial angiogenesis through suppressing HIF-1α/VEGF-A signaling pathways via SIRT1 in collagen-induced arthritis rats.Chinese medicine · 2023Article
- Potential role of LPAR5 gene in prognosis and immunity of thyroid papillary carcinoma and pan-cancer.Scientific reports · 2023Article
- ST8SIA6-AS1 contributes to hepatocellular carcinoma progression by targeting miR-142-3p/HMGA1 axis.Scientific reports · 2023Article
- Lysophosphatidic Acid Signaling and microRNAs: New Roles in Various Cancers.Frontiers in oncology · 2022Review
- Identification of hub genes in thyroid carcinoma to predict prognosis by integrated bioinformatics analysis.Bioengineered · 2021Article
- MicroRNA-1298-5p inhibits the tumorigenesis of breast cancer by targeting E2F1.Oncology letters · 2021Article
- LPAR5 promotes thyroid carcinoma cell proliferation and migration by activating class IA PI3K catalytic subunit p110β.Cancer science · 2021Article
- TNRC6C-AS1 Promotes Thyroid Cancer Progression by Upregulating LPAR5 via miR-513c-5p.Cancer management and research · 2021Article
- Six Immune Associated Genes Construct Prognostic Model Evaluate Low-Grade Glioma.Frontiers in immunology · 2020Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPapillary thyroid carcinoma (PTC) is one of the fastest-growing malignant tumor types of thyroid cancer. Therefore, identifying the interaction of genes in PTC is crucial for elucidating its pathogenesis and finding more specific molecular biomarkers.
methodsFour pairs of PTC tissues and adjacent tissues were sequenced using RNA-Seq, and 3745 differentially expressed genes were screened (P<0.05, |logFC|>1). The enrichment analysis indicated that the vast majority of differentially expressed genes (DEGs) may play a positive role in the development of cancer. Then, the significant modules were analyzed using Cytoscape software in the protein-protein interaction network. Survival analysis, TNM analysis, and immune infiltration analysis of key genes were analyzed. And the expression of ADORA1, APOE, and LPAR5 genes were verified by qPCR in PTC compared with matching adjacent tissues.
resultsTwenty-five genes were identified as hub genes with nodes greater than 10. The expression of 25 genes were verified by the GEPIA database, and the overall survival and disease-free survival analyses were conducted with Kaplan-Meier plotter. We found only three genes were confirmed with our validation and were statistically significant in PTC, namely ADORA1, APOE, and LPAR5. Further analysis found that the mRNA levels and methylation degree of these three genes were significantly correlated with the TNM staging of PTC. And these three genes were related to PTC immune infiltration. Verification of the expression of these three genes by RT-qPCR and Western blot further confirmed the reliability of our results.
conclusionOur study identified three genes that may play key regulatory roles in the development, metastasis, and immune infiltration of papillary thyroid carcinoma.
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