ReviewMolecular and cellular endocrinology2010
Prognostic utility of BRAF mutation in papillary thyroid cancer.
Review in Molecular and cellular endocrinology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 4 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
87 citing papers in PubMed, 4 syntheses or guidelines pooled it, 211 citations in OpenAlex.
- Size Increment During Surveillance in Papillary Thyroid Cancer: Evidence Synthesis and Dose-Response Meta-Analysis.Cancer reports (Hoboken, N.J.) · 2025Pooled it
- Positive Correlation of Thyroid Nodule Cytology with Molecular Profiling-a Single-Center Experience.Endocrine pathology · 2021Pooled it
- Sorafenib and radioiodine-refractory differentiated thyroid cancer (RR-DTC): a systematic review and meta-analysis.Endocrine · 2020Pooled it
- 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer.Thyroid : official journal of the American Thyroid Association · 2016Guideline
- Sorafenib in radioactive iodine-refractory, locally advanced or metastatic differentiated thyroid cancer: a randomised, double-blind, phase 3 trial.Lancet (London, England) · 2014Trial
- Early Birds and Thyroid Cancer: Unveiling the Link Between Morningness and Thyroid Cancer Risk Through Mendelian Randomization.Brain and behavior · 2026Article
- Construction and validation of risk models of prognostic genes associated with parthanatos in papillary thyroid carcinoma based on bioinformatics.Discover oncology · 2025Article
- Papillary thyroid carcinoma: morphological features and association with normalized BRAFV600E allelic frequency; clonality and morphology investigating mutations through microscopy.Thyroid research · 2025Article
- Distant Metastases and Outcome of Pediatric Differentiated Thyroid Cancer.Journal of the Endocrine Society · 2025Article
- MicroRNA-18b regulates cell cycle progression in papillary thyroid carcinoma by targetingAnnals of surgical treatment and research · 2025Article
- Programmed cell death-related gene IL20RA facilitates tumor progression and remodels tumor microenvironment in thyroid cancer.Scientific reports · 2025Article
- BRAF V600E mutation in thyroid carcinoma: a large-scale study in Han Chinese population.World journal of surgical oncology · 2024Article
- Molecular testing for thyroid nodules: Where are we now?Reviews in endocrine & metabolic disorders · 2024Review
- Profile ofThe application of clinical genetics · 2023Article
- Association of BRAF V600E Mutation with Tumor Recurrence in a Small Sample of Filipino Patients with Papillary Thyroid Cancer in a Single Center.Acta medica Philippina · 2023Article
- Relationships of BRAF V600E Gene Mutation With Some Immunohistochemical Markers and Recurrence Rate in Patients With Thyroid Carcinoma.Clinical Medicine Insights. Oncology · 2023Article
- Integrating BRAFBMC cancer · 2022Article
- Papillary Thyroid Carcinoma Landscape and Its Immunological Link With Hashimoto Thyroiditis at Single-Cell Resolution.Frontiers in cell and developmental biology · 2021Article
- α-Enolase Lies Downstream of mTOR/HIF1α and Promotes Thyroid Carcinoma Progression by Regulating CST1.Frontiers in cell and developmental biology · 2021Article
- A novel RNA sequencing-based risk score model to predict papillary thyroid carcinoma recurrence.Clinical & experimental metastasis · 2020Article
27 more citing papers are in PubMed but not listed here.
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Papillary thyroid cancer (PTC) is a common endocrine malignancy that frequently harbors the oncogenic T1799A BRAF mutation. As a novel prognostic molecular marker, this mutation has received considerable attention in recent years for its potential utility in the risk stratification and management of PTC. In PTC, BRAF mutation is closely associated with extrathyroidal extension, lymph node metastasis, advanced tumor stages, disease recurrence, and even patient mortality. Many of the responsible molecular derangements promoted by, or associated with, BRAF mutation have been identified, including over-expression of tumor-promoting genes, suppression of tumor-suppressor genes, and silencing of thyroid iodide-handling genes, resulting in impairment or loss of radioiodine avidity and hence the failure of radioiodine treatment of PTC. BRAF mutation can be readily tested on thyroid fine needle aspiration biopsy specimens, with high preoperative predictive probabilities for clinicopathological outcomes of PTC. As such, the knowledge of BRAF mutation status can facilitate more accurate risk stratification and better decision making at various steps in the management of PTC, from preoperative planning of initial surgical scale to postoperative decisions about appropriate radioiodine treatment and thyroid-stimulating hormone suppression, and to selections of appropriate surveillance modalities for PTC recurrence. The greatest utility of BRAF mutation status is in those cases where traditional clinicopathological criteria alone would otherwise be unreliable in the risk stratification and management of PTC. Use of this unique molecular marker, in conjunction with conventional clinicopathological risk factors, to assist the prognostication of PTC is likely to improve the efficiency of contemporary management of thyroid cancer.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.