ArticleFrontiers in endocrinology2022
Screening and validation of lymph node metastasis risk-factor genes in papillary thyroid carcinoma.
Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Single-cell and bulk transcriptomic analyses identify B-cell senescence-associated biomarkers in papillary thyroid carcinoma.Translational cancer research · 2026Article
- ASAP1 Promotes Epithelial to Mesenchymal Transition by Activating the TGFβ Pathway in Papillary Thyroid Cancer.Cancer medicine · 2025Article
- Article
- Tight junctional protein family, Claudins in cancer and cancer metastasis.Frontiers in oncology · 2025Review
- A Six-Gene Mitochondrial Signature Predicts Prognosis in Dedifferentiated Thyroid Cancer.International journal of general medicine · 2025Article
- [Analysis of risk factors for lymph node metastasis in patients with CN0 papillary thyroid carcinoma].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2024Article
- Risk factors analysis of lateral cervical lymph node metastasis in papillary thyroid carcinoma: a retrospective study of 830 patients.World journal of surgical oncology · 2024Article
- Article
- Preoperative High Level of Circulating Tumor Cells is an Independent Risk Factor for Central Lymph Node Metastasis in Papillary Thyroid Carcinoma with Maximum Lesion Diameter ≤1.0 cm.International journal of general medicine · 2024Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Although most papillary thyroid carcinoma (PTC) cases have a good prognosis, some PTCs are more aggressive and are often accompanied by lymph node (LN) metastasis, a high recurrence rate, and poor prognosis. Distinguishing highly invasive metastatic PTC is an urgent problem that needs to be addressed clinically. We analyzed a microarray of metastasized PTC and validated it using quantitative reverse transcription PCR (RT-qPCR) and immunohistochemistry to identify biomarkers that can be used to assess the risk of PTC metastasis. Methods: The microarray of metastasized PTC was screened using the Gene Expression Omnibus (GEO) database. The differences between cancer and normal tissues were analyzed using the official GEO tool: GEO2R. Gene expression profile data (GEPIA) were used to verify the expression of differential genes in large samples and to analyze their correlation. The Kaplan-Meier plotter (KM-plotter) database was used for the analysis of genes potentially related to survival. RT-qPCR was used to check the expression of risk factor genes in pathological sections from PTC patients with clinical LN metastasis. Immunohistochemistry was used to verify the expression of core risk-associated genes. Results: Fourteen PTC metastasis-associated genes were identified. In metastasized PTC, Conclusions: Fourteen differentially expressed genes (
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