ArticleCancer biomarkers : section A of Disease markers2018
Predictive gene signatures of nodal metastasis in papillary thyroid carcinoma.
Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- PRECISE: A Prognostic Thyrocyte-Derived Gene Signature for Papillary Thyroid Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Prognostic Significance of KIF-12 Functioning as a Tumour Suppressor in Papillary Thyroid Carcinoma.Journal of Cancer · 2024Article
- Deep learning prediction model for central lymph node metastasis in papillary thyroid microcarcinoma based on cytology.Cancer science · 2023Article
- CD93 serves as a potential biomarker of gastric cancer and correlates with the tumor microenvironment.World journal of clinical cases · 2023Article
- Article
- Identification of a Recurrence Signature and Validation of Cell Infiltration Level of Thyroid Cancer Microenvironment.Frontiers in endocrinology · 2020Article
- Identification of a Five-Gene Signature and Establishment of a Prognostic Nomogram to Predict Progression-Free Interval of Papillary Thyroid Carcinoma.Frontiers in endocrinology · 2019Article
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Authors and funding
6 authors.
Funding
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Abstract
backgroundCervical lymph node metastases (LNM) in papillary thyroid carcinomas (PTCs) are common and develop in approximately 30-80% of PTCs. The presence of cervical LNM significantly increases the rate of locoregional recurrence in PTCs.
objectiveTo search for predictive gene signatures for nodal metastasis in PTCs.
methodsWe used unsupervised clustering with unbiased manner to compare molecular profiles between PTCs with nodal metastasis and PTCs without nodal metastasis using mRNA-seq of TCGA data. Using gene ontology (GO) and logistic regression test, we generated 12-predictive genes for nodal metastasis in PTCs.
resultsUnsupervised clustering of mRNA-seq (training set, N = 158) revealed that PTCs with nodal metastasis showed different gene expression patterns compared to PTCs without nodal metastasis. We generated 12 predictive genes and these gene signatures showed consistency for predicting nodal metastasis when we applied them to a validation set (N = 80). Based on multivariate analysis, these 12 predictive gene signatures showed more significant odds ratio compared to other variables.
conclusionsThese 12 gene signatures could be used to predict the chance of nodal metastasis in PTCs in preoperative evaluation using fine needle aspiration biopsy (FNAB) so that appropriate plan such as central neck dissection could be made.
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