ArticleJournal of experimental & clinical cancer research : CR2016
A panel of four genes accurately differentiates benign from malignant thyroid nodules.
Article in Journal of experimental & clinical cancer research : CR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
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- The role of Ephexin1 in translation and mTOR-targeted cancer therapy.Experimental & molecular medicine · 2025Article
- Genome-wide analyses identify circAQR, a circular RNA suppressing proliferation but promoting migration and invasion in thyroid cancer.NPJ precision oncology · 2025Article
- Alterations in gene expression associated with invasion of RAS-mutant thyroid tumors and their potential diagnostic and therapeutic utility.European thyroid journal · 2025Article
- Clinical performance of a machine learning-based model for detecting lymph node metastasis in papillary thyroid carcinoma: A multicenter study.International journal of surgery (London, England) · 2025Article
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- Disruption of the β-catenin destruction complex via Ephexin1-Axin1 interaction promotes colorectal cancer proliferation.Experimental & molecular medicine · 2025Article
- NGEF is a potential prognostic biomarker and could serve as an indicator for immunotherapy and chemotherapy in lung adenocarcinoma.BMC pulmonary medicine · 2024Article
- Papillary Thyroid Carcinoma: A thorough Bioinformatic Analysis of Gene Expression and Clinical Data.Genes · 2023Article
- Antiproliferative effects of dried Moringa oleifera leaf extract on human Wharton's Jelly mesenchymal stem cells.PloS one · 2022Article
- Akt-mediated Ephexin1-Ras interaction promotes oncogenic Ras signaling and colorectal and lung cancer cell proliferation.Cell death & disease · 2021Article
- A Five-Gene Prognostic Nomogram Predicting Disease-Free Survival of Differentiated Thyroid Cancer.Disease markers · 2021Article
- Major Vault Protein (MVP) Associated WithFrontiers in cell and developmental biology · 2021Article
- A Targeted Bioinformatics Assessment of Adrenocortical Carcinoma Reveals Prognostic Implications of GABA System Gene Expression.International journal of molecular sciences · 2020Article
- Eva-1 homolog A promotes papillary thyroid cancer progression and epithelial-mesenchymal transition via the Hippo signalling pathway.Journal of cellular and molecular medicine · 2020Article
- Scavenger receptor class A, member 5 is associated with thyroid cancer cell lines progression via epithelial-mesenchymal transition.Cell biochemistry and function · 2020Article
- The paradox of cancer genes in non-malignant conditions: implications for precision medicine.Genome medicine · 2020Review
- Lysophosphatidic Acid Receptor 5 (LPAR5) Plays a Significance Role in Papillary Thyroid Cancer via Phosphatidylinositol 3-Kinase/Akt/Mammalian Target of Rapamycin (mTOR) Pathway.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClinicians are confronted with an increasing number of patients with thyroid nodules. Reliable preoperative diagnosis of thyroid nodules remains a challenge because of inconclusive cytological examination of fine-needle aspiration biopsies. Although molecular analysis of thyroid tissue has shown promise as a diagnostic tool in recent years, it has not been successfully applied in routine clinical use, particularly in Chinese patients.
methodsWhole-transcriptome sequencing of 19 primary papillary thyroid cancer (PTC) samples and matched adjacent normal thyroid tissue (NT) samples were performed. Bioinformatics analysis was carried out to identify candidate diagnostic genes. Then, RT-qPCR was performed to evaluate these candidate genes, and four genes were finally selected. Based on these four genes, diagnostic algorithm was developed (training set: 100 thyroid cancer (TC) and 65 benign thyroid lesions (BTL)) and validated (independent set: 123 TC and 81 BTL) using the support vector machine (SVM) approach.
resultsWe discovered four genes, namely fibronectin 1 (FN1), gamma-aminobutyric acid type A receptor beta 2 subunit (GABRB2), neuronal guanine nucleotide exchange factor (NGEF) and high-mobility group AT-hook 2 (HMGA2). A SVM model with these four genes performed with 97.0 % sensitivity, 93.8 % specificity, 96.0 % positive predictive value (PPV), and 95.3 % negative predictive value (NPV) in training set. For additional independent validation, it also showed good performance (92.7 % sensitivity, 90.1 % specificity, 93.4 % PPV, and 89.0 % NPV).
conclusionsOur diagnostic panel can accurately distinguish benign from malignant thyroid nodules using a simple and affordable method, which may have daily clinical application in the near future.
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