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Published on: February 9, 2024
BRAF V600E status adds incremental value to current risk classification systems in predicting papillary thyroid
Jason D Prescott1, Peter M Sadow, Richard A Hodin
1Endocrine Surgery Unit, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114-2696, USA.
BRAF V600E mutation status improves papillary thyroid cancer recurrence prediction. Adding this genetic marker to existing risk algorithms enhances accuracy for patients undergoing total thyroidectomy.
Area of Science:
- Oncology
- Genetics
- Medical Diagnostics
Background:
- Papillary thyroid cancer (PTC) recurrence risk stratification remains challenging.
- Current risk classification systems do not integrate BRAF mutational status.
- Predicting PTC recurrence requires improved methodologies.
Purpose of the Study:
- To evaluate the incremental value of BRAF V600E mutational status in predicting PTC recurrence.
- To assess the impact of BRAF status on existing risk stratification algorithms.
Main Methods:
- Analysis of a historical cohort of 356 patients who underwent total thyroidectomy for PTC.
- BRAF V600E genotyping of archived tumor specimens.
- Cox proportional hazard regression modeling incorporating BRAF status into established algorithms (AMES, MACIS, AJCC-TNM, ATA).
Main Results:
- The 5-year cumulative PTC recurrence incidence was 15%.
- BRAF V600E mutation was present in 54% of genotyped specimens.
- BRAF V600E status significantly improved recurrence prediction across all tested algorithms (HR 2.43-2.51) and enhanced model discrimination (incremental c-index 0.046-0.109).
Conclusions:
- Incorporating BRAF V600E mutational status into risk algorithms significantly improves the prediction of recurrence in papillary thyroid cancer.
- This genetic marker offers valuable incremental prognostic information for patients with PTC.
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