ArticleCancer medicine2023
Landscape of gene mutation in Chinese thyroid cancer patients: Construction and validation of lymph node metastasis prediction model based on clinical features and gene mutation marker.
Article in Cancer medicine, 2023. 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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7 citing papers in PubMed, 7 citations in OpenAlex.
- Integrating Ultrasound and Clinicopathologic Characteristics to Predict the Invasive Papillary Thyroid Carcinoma Among Indeterminate Thyroid Nodules.Cancer management and research · 2026Article
- A clinical feature-based nomogram for the personalized prediction of radioactive iodine therapy outcomes in patients with papillary thyroid carcinoma.Oncology letters · 2025Article
- The diagnostic efficacy of serum galectin-3 and other markers in papillary thyroid carcinoma.Gland surgery · 2025Article
- Microbial biomarkers and sex-associated gut microbiota characteristics of thyroid cancer.BMC cancer · 2025Article
- Preoperative prediction of lymph node metastasis risk in papillary thyroid carcinoma based on multiple model comparisons.Scientific reports · 2025Article
- Thyroid differentiation score-related genes and prognostic model for thyroid cancer.Translational cancer research · 2025Article
- Landscape of gene mutation in Chinese thyroid cancer patients: Construction and validation of lymph node metastasis prediction model based on clinical features and gene mutation marker.Cancer medicine · 2023Article
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8 authors at 1 institution in 1 country.
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Abstract
objectivesReporting the clinicopathological information of thyroid cancer (TC) patients from a central medical center of east China, and constructing the nomogram predicting lymph node metastasis (LNM).
methodsWe collected the patients who underwent thyroid cancer surgery in our institute from July 1, 2019 to July 31, 2021, a total of 253 subjects were enrolled. We used HiPure FFPE DNA Kit to extract DNA and RNApure FFPE Kit to extract RNA from the paraffin sections of tumor tissue, the extracted DNA samples and RNA samples were used for NGS sequencing. The clinical and pathological information of TCGA-THCA cohort was obtained as the validation cohort. Multivariate logistic regression analysis was performed to identify the independent prognostic factor, and the nomogram was subsequently constructed by "rms" R package.
resultsSecondary cases contained more mutation of BRAF (90.48% vs. 62.07%) and TERT (33.0% vs. 3.0%), as compared with primary cases. Primary patients with positive lymph node were younger (40.9 ± 10.8 vs. 45.3 ± 11.8, p = 0.0031) and contained advanced TI-RADS levels (4c: 22.8% vs. 8.3%, 5: 6.5% vs. 0/0%, p = 1.878e-03), as well as more RET genetic alteration (16.3% vs. 2.7%, p = 2.566e-03). We chose age, tumor diameter, RET fusion, and gender to construct the LNM predicting nomogram. Calibration plot, DCA curve, and the clinical impact plot verified the preferable prognostic value of the nomogram, with an AUC value of 0.724 (0.656-0.792). We successfully validated the prognostic value of the nomogram in TCGA-THCA cohort. RET fusion might impact the process of protein digestion and absorption, cytokine-cytokine receptor interaction, ECM-receptor interaction, focal adhesion.
conclusionWe provide a novel nomogram to predict the LNM for TC patients, including the features of patient's age, gender, tumor diameter, and RET alteration. Further studies from multiple medical centers are essential to validate the nomogram.
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